Summary

Science postgraduate with a strong background in Bioscience, seeking a position as a Research Data Analyst to apply analytical skills in advancing research with a commitment to learning and contributing to impactful work.

Education

Master of Science in Bioscience
Sri Sathya Sai Institute of Higher Learning, Anantapur, Andhra Pradesh
GRADE – O, CGPA – 8.0

Bachelor of Science in Bioscience
Sri Sathya Sai Institute of Higher Learning, Anantapur, Andhra Pradesh
GRADE – A+, CGPA – 7.5

Intermediate
Sri Chaitanya Junior College, Narayanguda, Hyderabad, Telangana
GRADE – A, CGPA – 9.4

Internship

Sri Sathya Sai Institute of Higher Learning, Central Research Instruments facility (CRIF), Puttaparthi, Andhra Pradesh
May 2024 – June 2024
– Cell Culture, Cytotoxicity test, Reactive oxygen species detection
– Proteomics and transcriptomics data analysis

Dr. Reddys Institute of Life Sciences, Hyderabad Central University, Gachibowli, Hyderabad
September 2024 – December 2024
– RNA Isolation, Mammalian Cell Culture, Western blotting

Project

Pancreatic Cancer: Mutations in KRAS, CDKN2A, TP53, and SMAD4 An In Silico Study
Focuses on the mutation data studies of key genes in Pancreatic cancer development and their classification using information from ICGC data portal

Laboratory Experience

– Maintenance of mammalian cell culture (Microglia and Neuro-2a)
– Cryopreservation, passaging, reviving cells, cell counting, MTT assay, ROS assay
– Drosophila handling and differentiation
– DNA, RNA, Protein isolation and analysis
– Bacterial Culture techniques
– Enzyme Kinetics experiments and more

Skills

Communication, Data Accuracy, Data consistency, Analytical skills, Time Management, Problem Solving, Attention to Detail

Languages

Telugu, English, Hindi

Accomplishments

– Coursera courses in Genomic Technologies and Understanding Plants
– Qualified in national level entrance exams like NEET (UG), GATE
– Fine Arts Champion and Coordinator
– Diploma in Sri Sathya Sai Education
– Workshop participation in disaster management awareness
– Skating bronze medal and various other achievements

Personal Information

Date of Birth: 12/08/2002
Nationality: Indian
Marital Status: Unmarried

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Cover Letter:

Adithya Namboothiri

(Biotechnologist)

About Me:

A keen observer and a biotechnology enthusiast with an appetite for knowledge and a never-say-die attitude towards new journeys ahead. I wish to make the world a better and happy place!

Contact:

• Phone: [Phone Hidden]
• Email: [Email Hidden]
• Address: A-304, Chaitanya Mahaprabhu CHS Ltd, Kopar Road, Dombivli west, Thane district ŌĆō 421202

LinkedIn Profile:

LinkedIn profile : Adithya Namboothiri

Expertise:

• Teaching (Biology)
• Genomics
• Content writing (English)
• WordPress
• Python
• Bioinformatics
• R Programming
• Plant Tissue Culture
• Polymerase Chain Reaction
• Recombinant DNA technology
• MS Office
• Immunotechnology

Language Fluency:

• Malayalam
• English
• Hindi
• Tamil
• Marathi

Internships/Projects:

• Shreedhar BhatŌĆÖs Laboratory, Bengaluru (May 2019 to June 2019)

  Had project training during my bachelorŌĆÖs degree equipping hands-on experience with respect to Molecular Biology and Plant Tissue Culture.

• Sports Writer Intern at Six sports and Football express, Remote (Nov 2020 to July 2021)

  Had developed Content curation and creation skills and have learned how to use WordPress software.

• Associate Variant Analyst Intern at Zifo Genomics Research Institute (ZGRI), Chennai (Dec 2022 to June 2023)

  Had hands-on experience on usage of various MS Office tools such as MS Excel as well as have learnt how to clean data using Excel and perform genome annotations using different softwares.

  Additionally, I had learnt about the association of certain cancers and diseases with certain genes in the human body as well as the different types of functional studies performed.

  Also developed communication skills in the form of presentation skills.

Experience:

Assistant Lecturer in Zoology at Aakash Educational Services Limited (AESL), Indore (Jul 2023 to Present)

• Had led students towards preparing them for National Eligibility cum Entrance Test (NEET-UG) for Crash course (2 months course), repeaters (both English and Hindi medium), 11th as well as 12th studying students.
• Had an additional role as a Left-out Reduction incharge ensuring all students are happy with the facilities provided to them.
• Had conducted examinations in the institute such as ANTHE (National talent hunt exam) as well as motivating and encouraging students, even on the day of NEET examination, by visiting them directly in their respective centres.

Education:

1. 12th Model College, Dombivli (MH State board) ŌĆō 2016-18

   Percentage obtained: 79%

2. B.Sc. Biotechnology from SIES College of Arts, Science and Commerce, Sion, Mumbai ŌĆō 2018-21

   CGPA: 9.07

3. M.Sc. Biotechnology from Vellore Institute of Technology, Vellore ŌĆō 2021-23

   CGPA: 8.64

4. PG Diploma in Bioinformatics from St. XavierŌĆÖs College, Mumbai ŌĆō 2024-25

Skills Keywords:

• Teaching (Biology)
• Genomics
• Content writing (English)
• WordPress
• Python
• Bioinformatics
• R Programming
• Plant Tissue Culture
• Polymerase Chain Reaction
• Recombinant DNA technology
• MS Office
• Immunotechnology

Thank you!

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Cover Letter:

Curriculum Vitae – SREE VISHMAYA

Professional Summary

Accomplished Bioinformatician with expertise in genomic data analysis and next-generation sequencing (NGS). Proficient in computational biology, statistical analysis and machine learning, with a strong focus on large-scale omics data interpretation. Dedicated trainer and consultant, providing expert guidance on NGS workflows, data analysis techniques and bioinformatics tools. Current focus on bioinformatics consulting and operations, driving strategic planning and innovation in bioinformatics & IT solutions to advance genomics, precision medicine, and biotechnology.

Professional Skills

Bioinformatics & Genomics

• NGS Data Analysis: DNA-seq, RNA-seq, ChIP-seq, ATAC-seq, Exome-seq, Metagenomics
• Variant Analysis: SNP/INDEL calling, Structural Variants, CNV analysis, Annotation
• Transcriptomics: Differential gene expression (DGE), isoform quantification, transcript assembly
• Functional Genomics: Gene Ontology, pathway enrichment analysis

Computational Tools & Pipelines

• Workflow Automation: Nextflow, Galaxy, Docker
• Bioinformatics Tools: FastQC, Trimmomatic, HISAT2, STAR, BWA, GATK, SAMtools, BEDTools

Programming & Data Science

• Languages: Python, R, Bash
• Data Visualization
• Machine Learning & Statistics

Data Engineering & High-Performance Computing

• HPC Systems: SLURM, parallel computing, job scheduling, resource management

Project Management & Leadership

• Team Leadership
• Consulting & Training
• Scientific Writing

Professional Experience

Bioinformatics & NGS Trainer | NextZen Academy

• Conducted bioinformatics and NGS training
• Developed course materials
• Mentored students

Head of Operations | Total Outsource Management

• Spearheaded operational strategies
• Led cross-functional teams
• Oversaw resource management

Bioinformatics Consultant | Freelancing

• Providing expert guidance and tailored solutions in bioinformatics
• Assisting in the design and implementation of bioinformatics workflows
• Supporting clients in genomic data analysis

Education

• B.Tech in Bioinformatics | SASTRA Deemed University, Thanjavur | 2021
• Project: “Machine Learning derived multiclass integrated prognostic scoring model for Acute Leukemia”

Research Experiences

• Research Intern | National Institute of Pathology- ICMR, New Delhi
• Student Researcher | SASTRA Deemed University, Thanjavur, Tamil Nadu
• Trainee (CSIR-SRTP 2020) | CSIR – NEIST, Jorhat

Publications

• Co-Author – “Early Prognosis Prediction in Acute Myeloid and Acute Lymphoid Leukemia”
• Co-Author – “Analysis of TCGA data for prognosis and risk categorization and survival using bioinformatics”
• First Author – “Integrated analysis of gene expression data reveals dysregulating factors of SWI/SNF in acute myeloid leukemia”
• First Author – “Machine Learning derived multiclass integrated prognostic scoring model for Acute Leukemia”
• Acknowledgement – “Concurrent outcomes from multiple approaches of epistasis analysis for human body mass index associated loci provide insights into obesity biology”

Scientific Presentations & Lectures

• Poster Presentation
• Abstract Submission
• Paper Presentation
• Special Lecture
• Short Presentation

Certifications

• Introduction to R Software
• Microbiology Certificate Course
• Principles, Statistical and Computational Tools for Reproducible Data Science
• Emerging Respiratory Viruses, including COVID-19
• Machine Learning A-Z: Hands-On Python & R in Data Science
• Leading Change in Health Informatics
• Next Generation Sequencing (NGS) for Influenza and SARS-CoV-2
• Train the Trainer: Design Genomics and Bioinformatics
• Leadership & HR Foundations: Core HR & Leadership styles

Conferences & Workshops

• SAMHITHA’18 – National Level Biotechnology Symposium
• GENOMED 2k19 – National Level Seminar on Medical Genetics
• PRATYARTH’19 – National Level Symposium on Machine Learning Approaches in Bioinformatics

Memberships

• AMBASSADOR – Nextflow Ambassador Program
• MEMBER – SGAC, AWIS, IAENG, ERGA, NASA-Gene Lab, ISCB – RSG India
• ORGANIZER – ICSS-2020

Skills

Bioinformatics, Genomics, NGS Data Analysis, Variant Analysis, Transcriptomics, Functional Genomics, Computational Tools, Workflow Automation, Data Visualization, Machine Learning, Statistics, Data Engineering, High-Performance Computing, Project Management, Leadership, Consulting, Training, Scientific Writing

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Cover Letter:

SREE VISHMAYA – The Bioinformatics Guru Transforming Genomic Data into Breakthrough Discoveries!

Intro Summary
Highly dynamic and motivated Ph.D. holder in Computational Biology & Bioinformatics with expertise in virtual screening, free energy estimation, structural bioinformatics, and AI/ML applications in public healthcare and drug discovery. Seeking a teaching position with a research focus, possessing excellent communication skills and a keen eye for problem-solving within diverse environments.

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PERSONAL PROFILE

I am looking for a teaching position with research. I have excellent communication skills and look for a bigger picture while solving a problem. I am strong, independent, and flexible to work in any kind of environment as required. My research focuses on virtual screening and free energy estimation for identifying potential inhibitors against mycobacterium tuberculosis. I am good in structural bioinformatics and also have experience of working with AI/ML for public healthcare and drug discovery. I am a highly dynamic, motivated, and multitasking person, and I know how to perceive any project from beginning to end.

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EDUCATION

• Jawaharlal Nehru University (JNU), New Delhi, India – Ph.D. in Computational Biology & Bioinformatics (SC&IS) 2016-2021
• Jawaharlal Nehru University (JNU), New Delhi, India – Master of Technology, Computational & Systems Biology 2012-2014
• Dr.H.S.Gour Central University, Sagar (M.P) Madhya Pradesh,India – Master of Science, Biotechnology 2009-2011
• Magadh University, A N College, Patna, India – Bachelor of Science (Biotech.) 2005-2008

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RESEARCH EXPERIENCE

• JNU, New Delhi, India – Research Fellow-University Grant Commission (UGC), Govt. of India/Ph.D. Scholar 2016-2021
• DRDO (INMAS), New Delhi, India – M.Sc. Dissertation (Jan.2011-July 2011)

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AWARDS/ACADEMIC ACHIEVEMENTS

• DBT-fellowship during M.Tech awarded by Department of science and technology, New Delhi
• ASRB-NET (equivalent to CSIR-UGC-NET), Qualified-2014
• GATE (XL) Qualified-2011

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Ph.D. PUBLICATIONS

• Niranjan Kumar, Rakesh Srivastava, Amresh Prakash, Andrew M. Lynn. “Structure-based virtual screening molecular dynamics simulation and MM-PBSA towards identifying the inhibitors for Two-component regulatory system protein NarL of Mycobacterium tuberculosis”, Journal of Biomolecular Structure Dynamics, 2019
• Niranjan Kumar, Rakesh Srivastava, Amresh Prakash, Andrew M. Lynn. Virtual screening and free energy estimation for identifying Mycobacterium tuberculosis flavoenzyme DprE1 inhibitors”, Journal of Molecular Graphics and Modeling, 2020
• Deep Bhowmik, Rajat Nandi, Rahul Jagadeesan, Niranjan Kumar, Amresh Prakash, Diwakar Kumar. “Identification of potential inhibitors against SARS-CoV-2 by targeting proteins responsible for envelope formation and virion assembly using docking based virtual screening, and pharmacokinetics approaches” Infection, Genetics and Evolution, 2020
• Niranjan Kumar, et.al. Identifying the novel inhibitors against the mycolic acid biosynthesis pathway target “mtFabH” of Mycobacterium tuberculosis”, Frontier in Microbiology”, 2022
• Niranjan Kumar, Rakesh Srivastava. “Deep Learning in Structural Bioinformatics: Current Applications and Future Perspectives”, Briefing in bioinformatics”, 2024

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Presentations in International Conferences/Workshops

• Niranjan Kumar, High Throughput Virtual Screening and simulation studies to identify potential inhibitors for flavoenzyme decaprenylphosphoryl-β-D-ribose epimerase (DprE1) of Mycobacterium tuberculosis. (Incob 2018), Jawaharlal Nehru University, New Delhi
• Niranjan Kumar., Hybrid approach to screen chemical libraries against Mycobacterium tuberculosis. International Conference on Bioinformatics and Systems Biology (BSB 2018), Indian Institute of Information Technology, Allahabad
• Niranjan Kumar, Rakesh Srivastava, Ambresh Prakash, Andrew M Lynn., Identification of potential drug candidates for flavoenzyme decaprenyl- β-D-ribose epimerase (DprE1) of Mycobacterium tuberculosis using silico approaches. In ISCBSC-RSG Indian student symposium 2019 on Computational Biology: Connecting domain of science held on 22nd 2019 at Jawaharlal Nehru University, New Delhi, India.

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Referees

• Dr. Naveen Kango – Professor & Head, Department of Microbiology, Dr. H.S. Gour Central University, Sagar, Madhya Pradesh, India
• Dr. Vineet Kumar Kamal – Assistant Professor, Department of Biostatistics, AIIMS, Kalyani
• Dr. Basant Kumar Tiwary – Professor, Department of Bioinformatics, Pondicherry University, Puducherry

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Skills

Keywords: Computational Biology, Bioinformatics, Virtual Screening, Structural Bioinformatics, AI/ML, Research, Problem Solving, Communication

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Cover Letter:

Niranjan Kumar – Unveiling the Secrets of Drug Discovery: The Journey of a Bioinformatics Expert

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Cover Letter:

Shubradip Ghosh

Professional Summary

– Detail-oriented Data Operations Associate with experience in data management, market analysis, and business intelligence.

– Proficient in SQL, Python, Tableau, and Excel for data processing and visualization.

– Strong expertise in data validation, process automation, and performance optimization to support business decision-making.

Key Skills

• Data Management & Processing (SQL, MySQL, Advanced Excel)
• Business Intelligence & Visualization (Tableau, Power BI)
• Market Analysis (Competitor Analysis, Demand Forecasting, Pricing Strategies)
• Data Cleaning & Transformation (ETL, Data Wrangling, Pandas, NumPy)
• Database Querying & Optimization (SQL Joins, Stored Procedures)
• Programming Languages & Softwares (Python, R, SPSS, KNIME)
• Project & Performance Management

Education

• MSc. Biostatistics & Epidemiology, SRMIST 2023
• BPharm, Jadavpur University 2018
• PGP in Data Science & Business Analytics, UT Austin 2020

Professional Experience

Associate – Data Operations | ICMR-NICPR (Jan 2024 – June 2024)

• Managed data collection, processing, and validation for public health research.
• Designed automated reports and dashboards using Tableau and Excel.
• Performed SQL queries to extract, clean, and analyze large datasets.
• Ensured data accuracy and compliance with regulatory guidelines.

AIML Research Intern | Feyn Labs, Guwahati (Dec 2023 – July 2023)

• Assisted in the implementation of an automated reporting system, reducing manual data processing time by 30%.
• Conducted market segmentation analysis for AI business prototype building.
• Prepared reports and presentations summarizing research findings and recommendations.

Trainee Technical Assistant | Torrent Pharmaceuticals Ltd (Apr 2019 – Sep 2019)

• Maintained accurate SAP records and updated Standard Operating Procedures (SOPs).
• Investigated deviations in batch manufacturing and provided corrective actions.
• Assisted in in-process quality assurance for manufacturing operations.

Projects & Research

• Health Insurance Cost Optimization – Developed a predictive model to determine optimal premium pricing.
• Shoe Sales Forecasting – Built a time series forecasting model using ARIMA & SARIMAX.
• Customer Segmentation (RFM Analysis) – Improved retention by 20% through personalized targeting.
• Online Retail Order Analysis (SQL) – Optimized data-driven decision-making for an e-commerce store.
• Visualizing Insurance Claims using TABLEAU – Created interactive dashboards providing insights for policymaking.
• Bank Customer Segmentation – Applied clustering techniques for targeted credit card promotions.
• Insurance Claim Prediction – Compared CART, Random Forest, and ANN models for claims prediction.

Certifications & Technical Tools

• Google Data Analytics Certification
• Data Science & Machine Learning – Skillvertex
• SQL, Python, R, Tableau, Power BI, Excel
• AWS, ETL Pipelines, Process Automation
• Keywords: SQL, Python, Tableau, Data Management, Business Intelligence, Market Analysis, Data Cleaning, Database Querying, Project Management

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Cover Letter:

Shubradip Ghosh – Unlocking the Secrets of Data: Meet the Operations Genius Transforming Business Intelligence!

Jinan Parvin V M

Summary: Biotechnology Engineer with a solid background in cancer biology, molecular biology, and computational biology. Experienced in advanced laboratory techniques and bioinformatics tools for in-silico studies. Skilled in animal cell culture, nanoparticle synthesis, and structural biology methods; eager to contribute to cutting-edge research.

EDUCATION

M.Tech in Biotechnology – CGPA 9.07/10

2024

Relevant Modules: Molecular and Cellular Biology, Stem cell and Tissue Engineering, Bioprocess Engineering, Biostatistics and Quantitative Biology, OMICS Technology, Systems and Synthetic Biology, Biocomputing and Computational Biology, Drug and Vaccine Informatics

WORK EXPERIENCE

Research Fellow

National Institute of Technology Warangal

July 2023 – June 2024

Project: Calcium carbonate microparticles show enhanced anti-cancer properties under the influence of a magnetic field

Key Responsibilities: Synthesis of microparticles, testing anticancer effects, routine maintenance of cancer cell lines

RESEARCH EXPERIENCE

Masters’ Thesis: Development of novel drug delivery systems for cancer treatment using a magnetic field

July 2023 – June 2024

Developed drug delivery systems using calcium carbonate microparticles and iron oxide nanoparticles

INTERNSHIPS AND WORKSHOP

B.Tech in Biotechnology

National Institute of Technology, Warangal

GATE Scholarship Recipient

Experience in RNA sequencing data analysis, WEKA, machine learning algorithms, and bioinformatics tools

Programming Languages: Python

SCHOLARSHIPS

Graduate Aptitude Test in Engineering (GATE) Scholarship (2022-2025)

PUBLICATIONS

VM, Jinan Parvin, et al. “Calcium carbonate microparticles show enhanced anti-cancer properties under the influence of magnetic field.” New Journal of Chemistry (2024).

Link: https://doi.org/10.1039/D4NJ02757D

SKILLS

Bioinformatics, Molecular dynamic simulation, Docking, NGS data analysis, RNA sequence data analysis, Modeller, Gromacs, PyRx, AutoDock, Haddock, Pymol, Alphafold, Blast, CDART, Anaconda Jupyter, Orgin, Machine learning using WEKA, Mammalian cell culture, Media preparation, MTT Assay, Staining assay, MS Office, Prism

Keywords: Biotechnology Engineer, Cell Signaling, Drug Delivery Systems, RNA Sequencing, Bioinformatics, Molecular Biology, Computational Biology

REFERENCES

Dr. Chockalingam S, Assistant Professor, Department of Biotechnology, National Institute of Technology, Warangal

Dr. Dileep Vasudevan, Scientist F, Rajiv Gandhi Centre for Biotechnology, Trivandrum

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Cover Letter:

Jinan Parvin V M – Unleashing the Future of Cancer Research with Cutting-Edge Biotechnology Skills

Niranjan M

Summary: As a Biotechnology graduate with a passion for bioinformatics and next-generation sequencing, seeking to apply expertise in wet and dry lab techniques, data analysis, and scientific software to cutting-edge genomic research; committed to contributing innovative, sustainable solutions in healthcare and positively impacting industry and society. Adaptable, multilingual, and detail-oriented, with a strong commitment to research excellence in regenerative medicine, genetics, and immunology.

Professional Experience

LifeCell International Pvt. Ltd.

Chennai, Tamil Nadu, India

Molecular Genetics Executive

Responsibilities:

• Performed DNA and RNA extraction from various sample types using manual and automated methods, ensuring quality control with Nanodrop, Qubit, and Gel Electrophoresis.
• Conducted quantitative PCR, Y Chromosome Microdeletion assays, and MLPA for gene expression analysis and chromosomal aneuploidy detection, operating advanced genetic analyzers with precision.
• Documented experimental data in Excel and Batch Production Records (BPR), adhering to Good Laboratory Practices (GLP) and Standard Operating Procedures (SOPs).

StemCyte India Therapeutics Pvt. Ltd

Bangalore, Karnataka, India

Customer Delight Executive

Responsibilities:

• Collaborated with gynecologists to discuss advancements in stem cell technology and generate leads, fostering professional relationships.
• Guided preservation plans for stem cells, ensuring optimal storage strategies and seamless communication between patients and laboratories.
• Managed client enrollment, payment collection, and agreement signing, while maintaining CRM systems and generating Service and Agreement Reports (SAR).

Educational Background

MSc Hons Biotechnology

CGPA: 7.86

BSc Biotechnology

Percentage: 74%

12th (PCMB)

Percentage: 83%

10th

CGPA: 9.8

Lovely Professional University, Punjab

Jul 2021 – May 2023

Nehru Arts & Science College, Coimbatore

Jul 2018 – May 2021

State Board of Kerala

Jun 2017 – May 2018

Central Board of Secondary Examination

Jun 2015 – May 2016

Trainings & Internships

Rajiv Gandhi Centre of Biotechnology

Thiruvananthapuram, Kerala, India

Project Intern – Bioinformatics facility

Skills:

• Proficient in Linux/UNIX (Ubuntu) environments, remote machine management (SSH), and programming in Python and R for bioinformatics workflows.
• Skilled in NGS data analysis, including quality control, pre-processing, and visualization using tools like SeqMonk, IGV, and R (e.g., ggplots, volcano plots, scatterplots)
• Worked on HUSH complex-mediated immune response to retroelement invasion, utilizing RNA-seq and CUT&RUN pipelines with tools like Bowtie2, HISAT2, MACS2, SAMtools, Bedtools, and DeepTools.

Eminent Biosciences

Indore, Madhya Pradesh, India

Aug 2024

Feb 2024- Sep 2024

Ahalia Hospitals

Palakkad, Kerala, India

June – July 2022

Responsibilities:

• Isolated DNA from clinical samples and performed PCR to amplify coding and non-coding regions, ensuring accuracy for downstream analyses.
• Conducted Sanger sequencing for DNA sequence determination; designed and validated primers to improve PCR efficiency and specificity.
• Annotated genes and performed bioinformatics analyses to interpret sequencing data, utilizing diverse tools and databases to understand gene functions and detect genetic variations.

Rapture Biotech

Mumbai, Maharashtra, India

May 2019

Feb 2024- Sep 2024

Responsibilities:

• Synthesized silver and copper nanoparticles using chemical reduction and green synthesis.
• Characterized their size, shape, and crystalline structure using UV-Vis spectroscopy, TEM, SEM, and XRD13.
• Applied bioinformatics tools and databases to analyze genetic and protein data, employing sequence alignment and structural modeling techniques to understand biological functions.

Certifications & Skills

• Gel electrophoresis
• DNA/RNA extraction
• PCR
• Genetic analyzer
• RNA-seq analysis
• Primer design
• Gene mapper
• Bio-Python
• Bioinformatics & Data analysis
• Linux Ubuntu environments
• Shell scripting
• R programming, Python
• Sequence alignment

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Cover Letter:

Niranjan M – Unlocking the Secrets of Life: Meet the Bioinformatics Pro Revolutionizing Genomic Research!

KAJAL DASILA

Educational Qualifications

Post-Graduation

Masters in Sciences (Zoology)

September 2022-July 2024

Hemvati Nandan Bahuguna Garhwal University, Srinagar Garhwal, Uttarakhand.

Graduation

Bachelors in Sciences (Zoology)

June 2017-December 2020

Indira Gandhi National Open University, New Delhi

Higher Secondary

April 2016-April 2017

Govt.Sarvodaya Kanya Vidyalya, No.1, Shakti Nagar

Secondary

April 2014-April 2015

Rajkiya Pratibha Vikas Vidyalya, New Delhi

Work Experience

I completed a Master’s Dissertation Project on “Ecological study of Macrozoobenthos in River Mandal, Pauri Garhwal, Uttarakhand” during my post-graduation.

Skills

Laboratory Skills, DNA extraction, PCR, Cell Culture, DNA Electrophoresis, DNA isolation, Tissue Culture, Laboratory Instrumentation, Water Quality analysis, Species Identification, Aquatic Biodiversity, Staining Techniques, Sample Analysis

Declaration

I hereby declare that all the information provided in this resume is true to the best of my knowledge and belief. I understand that any false statement or misrepresentation may result in disqualification from consideration for employment or termination of employment if discovered after acceptance.

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Cover Letter:

Curriculum Vitae

Introduction: Vamika Karn is a dedicated professional with a Master’s in Technology in Biotechnology. She has a strong research background and expertise in various aspects of biotechnology, including gene regulation, multi-omics data integration, and machine learning.

Employment Details

Aug 2022 – Jan 2024: Research Assistant at Daksh Foundation:

1. Assisted in providing hands-on training to students in Protein Structure Prediction and Molecular Docking.
2. Conducted research work on Parkinson’s disease.
3. Conducted a literature review on Machine Learning algorithms for diagnosing Parkinson’s disease.

Jan 2024 – June 2024: Dissertation Trainee at Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Mumbai:

1. Gene regulator network analysis of cancer-specific biomarkers of clear cell renal cell carcinoma.
2. Utilized tools such as R, TCGA, and Machine Learning.
3. Worked on Multi-Omics Data Integration, Network Inference, Network Simulation, Cox Regression, and Survival Analysis.

Basic Academic Details

Course	Name of Institute	Passing Year	Percent/CGPA
M. Tech Biotechnology	Amity Institute of Biotechnology (Amity University Mumbai)	2024	8.40
B. Tech Biotechnology	Amity Institute of Biotechnology (Amity University Mumbai)	2022	8.83
ISC (XII)	Carmel High School	2016	77.5%
ICSE (X)	Carmel High School	2014	84.8%

Internships

1. Quantium Data Analytics Internship (August 2024): Data Preparation, Experimentation and Uplift Testing, Analytics and Commercial Application.
2. Summer Intern at Centre for Computational Biology & Translational Research, Amity (July 2023-Aug 2023): Worked on the identification of high-risk genes in Parkinson’s disease.
3. Project Student at Centre for Computational Biology & Translational Research, Amity University Maharashtra (Jan 2022-May 2022): Performed structural and translational analysis of embB receptor and its mutants for MDR-tuberculosis.

Skills

Languages: R, Bash, Python

Version Control: Git, Github

Tools and Softwares: GATK, bcftools, samtools, bamtools, STAR, StringTie, Kallisto, PyMOL, AutoDock, Desmond, GROMACS, Chimera, Discovery Studio, Cytoscape

Methods and Concepts: Multi-Omics Data Integration and Analysis, Machine Learning, Cloud Data Engineering, Basics of Data Science & Analysis, Gene set enrichment (GSEA), Gene Ontology enrichment, Differential Gene expression (DESeq2, EdgeR), Dimensionality reduction (t-SNE, PCA, hierarchical clustering), Sequence Assembly & Alignment (BWA/STAR/BowTie), Gene abundance estimation (HTSeq-counts), Survival Analysis, Mutation and genetic aberration analysis (VarScan2, CNVkit, ClinVar, COSMIC), Statistical Analysis (Pearson/Spearman correlation, Student t-test, Wilcox rank sum test, ANOVA), Protein Structure Prediction & Analysis (I-TASSER, Swiss-Model, ProSA, PDBsum), Protein-Protein Interaction (PPI) Networks (STRING, IntAct, DIP, BioGRID), Functional and Pathway Enrichment (DAVID, Reactome, KEGG)

Wet Lab Techniques: Autoclave, UV/Vis Spectrometer, Centrifuge, Inverted Microscope, Colorimeter, Potentiometric pH meter, Multi-Mode Plate Reader, PCR, Gel Electrophoresis, UV Visualiser, Biochemical Test, Isolation, identification, and preservation of micro-organisms, MBRT test, Quality Analysis of water and food samples, Serial Dilution, Wine & Xanthan Gum Production, Protein Estimation, Carbohydrate Estimation, Quality Estimation of Amino Acids, Thin Layer Chromatography (TLC), Cell Viability, Staining Methods, Plant tissue sterilization and culture using different explants, Embryo & Anther Culture, Seed viability testing, Animal cell line maintenance, MTT Assay

Ongoing Research Work

1. Mutational analysis of first-line drug receptors for MDR tuberculosis.
2. Genomics and Multi-Omics Analysis of human cancer.

Courses and Certifications

1. Gut Check: Exploring your microbiome, Coursera
2. Computer-Aided Drug Design, Biotechnika
3. Machine Learning for Beginners, Microsoft, Github
4. Data Science Course – Mastering the Fundamentals, Scaler
5. R for Beginners’, Daksh Foundation

Publications

1. Extracellular Vesicular miRNA in Pancreatic Cancer: From Lab to Therapy, Cancers, MDPI. (Impact Factor = 5.2)
2. Mechanistic influence of discreet conformation of human telomerase linker region, Journal of Biomolecular Structure and Dynamics, Taylor & Francis. (Impact Factor = 4.4)
3. Structural variation and transitional analysis of embB receptor with its mutants leading to drug resistance in tuberculosis, Asian Journal of Microbiology, Biotechnology, & Environmental Sciences. (NAAS Rating = 5.00)
4. CRISPR/Cas9 system in breast cancer therapy: advancement, limitations and future scope, Cancer Cell International, BMC. (Impact Factor = 5.8)
5. Extracellular Vesicle-Based Therapy for COVID-19: Promises, Challenges and Future Prospects, Biomedicines, MDPI. (Impact Factor = 4.757)

Skills: Data Preparation, Experimentation, Uplift Testing, Analytics, Commercial Application, Gene Regulation, Network Analysis, Multi-Omics Data Integration, Machine Learning, Statistical Analysis, Protein Structure Prediction, Wet Lab Techniques

Cover Letter: