PARVATHI KALAKOTI

Location: Hyderabad, Telangana, 500049

Objective

Genome Analyst with a strong foundation in bioinformatics, biotechnology, and data analytics. Adept at leveraging computational biology techniques and statistical analysis to interpret complex genomic datasets. Passionate about applying analytical and problem-solving skills to genomic research, variant analysis, and precision medicine. Seeking to contribute to cutting-edge research at MedGenome.

Education and Qualifications

AI & ML in Biology, Bioinformatics & Computational Biology | BioTecNika | India | 2024-2025
Certification:
– Drug Bank
– Auto Dock & Auto Dock Vina
– PyMOL
– ChEMBL
– SwissDock
– Chimera
– PubChem
– MOE
– GROMACS

Google Data Analytics | Per Scholas | Dallas, TX | Coursera | 2023
Skills: R, RStudio, Tidyverse, Shiny, Excel, Python, Tableau, Jupyter Notebook, Matplotlib

Software Engineer | Per Scholas | Dallas, TX | Remote Learning | 2023
Skills: HTML, CSS, JavaScript, Node.js, Express.js, React.js, MongoDB, SQL, Java

Master of Science in Biotechnology | India | 2008

Post Graduate Diploma in Bioinformatics | India | 2008

Certificate Course in Diploma in Computer Application | India | 2007

Projects

Drug Discovery for Hashimoto’s Thyroiditis Using Virtual Screening

– Conducted structure-based virtual screening to identify potential drug candidates targeting TNF-alpha for Hashimoto’s thyroiditis.
– Utilized bioinformatics databases (DrugBank, ChEMBL, PubChem) for compound selection and molecular docking tools (AutoDock, Schrödinger Glide) for ligand-protein interaction analysis.
– Performed molecular dynamics simulations (GROMACS) to assess binding efficiency.
– Applied machine learning models (DeepChem, Scikit-learn) for bioactivity prediction and lead optimization.
– Analyzed pharmacokinetics and ADMET properties for drug-likeness evaluation.

Genome Data Analysis Project (Training Exercise)

– Processed and analyzed large genomic datasets using Python and R.
– Identified and annotated genetic variants using tools like Ensembl and UCSC Genome Browser.
– Visualized genomic data patterns and mutation distributions using Matplotlib and Tableau.

Professional Experience

Data Analytics Intern | KPMG | United States | Virtual | 2023
– Conducted data cleaning, preprocessing, and exploratory data analysis to extract insights.
– Developed data models and machine learning algorithms to support business decisions.
– Created interactive dashboards using Tableau and Power BI.

Volunteer Data Analytics/Data Engineer Tutor | Per Scholas Alumni
– Provided one-on-one and group tutoring sessions for data analytics and data engineering concepts.
– Developed tailored learning materials and exercises to support student learning.
– Assisted in real-world data analysis applications and project guidance.

Junior Research Fellow | Hyderabad Central University, India | 2010 – 2012
– Conducted laboratory experiments and analyzed experimental data in plant sciences.
– Utilized bioinformatics tools to interpret gene expression and protein interactions.
– Presented research findings at academic conferences.

Skills

Genomics and Bioinformatics: Molecular docking, sequence analysis, variant annotation, genome mapping
Data Analysis: Proficient in Python, R, SQL, and Excel for data manipulation and analysis
Statistical Analysis: Hypothesis testing, regression analysis, and biostatistics
Data Visualization: Skilled in Tableau, Matplotlib, and Power BI
Machine Learning & AI: Experience in predictive modeling with DeepChem, Scikit-learn, and RDKit
Bioinformatics Databases: DrugBank, PubChem, ChEMBL, Ensembl, and UCSC Genome Browser
Genome Analysis Tools: AutoDock, GROMACS, SwissDock, Chimera, PyMOL, MOE
Programming: Python, R, SQL, JavaScript, Java
Project Management: Effective in managing projects and collaborating with cross-functional teams

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Cover Letter:

Dear Hiring Manager,
MedGenome.
I am excited to apply for the Genome Analyst position at MedGenome. With a strong academic background in biotechnology and bioinformatics, combined with hands-on experience in genomic data analysis and computational biology, I am eager to contribute my skills to support MedGenome’s cutting-edge research initiatives.
In my role as a Junior Research Fellow at Hyderabad Central University, I conducted laboratory experiments and analyzed complex genomic datasets, which ignited my passion for genomic research. I further honed my technical skills through projects involving virtual drug screening and genome data analysis, where I utilized bioinformatics tools such as Auto Dock, GROMACS, and Chimera. These experiences allowed me to gain expertise in molecular docking, variant annotation, and data visualization.
To stay at the forefront of technology, I pursued certifications in AI & ML in Biology and Google Data Analytics. These programs equipped me with practical skills in Python, R, SQL, and Tableau, enabling me to perform advanced data analysis and create actionable insights from complex datasets.
MedGenome’s mission to advance genomics-based healthcare aligns perfectly with my passion for leveraging data to drive meaningful research outcomes. I am particularly drawn to your focus on precision medicine and genetic diagnostics, and I am confident that my analytical mindset, bioinformatics expertise, and problem-solving skills will make a valuable contribution to your team.
I would welcome the opportunity to speak with you about how my background and skills can support MedGenome’s innovative projects. Thank you for your time and consideration.
Sincerely,
Parvathi Kalakoti.
Hyderabad, Telangana, 500049