Ramprasad Rasal – Unlocking the Secrets of DNA: How One Bioinformatics Intern is Revolutionizing NGS Data Analysis

Ramprasad Rasal

(Advancing NGS Data Analysis Commitment)

Pune, India | [hidden]

Professional Summary

• Skilled in Bioinformatics, Next-Generation Sequencing (NGS), and Machine Learning.
• Experienced in deriving valuable insights from complex biological datasets.
• Strong background in bioinformatics and data analysis, with a focus on NGS data.
• Proficiently communicate complex technical concepts to diverse audiences.

Education

• Masters of Bioinformatics, Pondicherry University 2022-2024
• Bachelor of Science in Microbiology, Modern College Ganeshkhind Pune 2019-2021

Skills

• WGS, ONT, METAGENOMIC, NGS data analysis, Machine Learning, Molecular Simulation
• Python (Proficient), R (intermediate), Perl (Beginner)
• NCBI BLAST, SRA toolkit, UCSC genome Browser, Cytoscape, Pymol, Fastqc, KRAKEN2, BWA, GATK, IGV, QUIME2
• MySQL, SQL (Intermediate)
• Database and management system, Molecular Modelling & Drug Discovery, Genomics & Proteomics, Structural Bioinformatics, Bio sequence Analysis

Experience

PROGENOME LIFESCIENCE | BIOINFORMATICS INTERN

• 01-06-2024 to 30-11-2024
• Analysis of sequencing data.
• Conducted bioinformatics courses (NGS Analysis, Molecular Dynamic Simulation, Molecular Docking, CADD).

HAYSTACK ANALYTICS | INTERN – NGS DATA ANALYST (3 months)

• 16-12-24 to working now
• Analysis of sequencing data of WGS, ONT, METAGENOMICS.
• Analysis of data and making a Report.

Projects

Project name – “Investigating Molecular Interactions between HIV and Substance Use Disorder: An in-silico RNA-seq Approach”

• Involved in identifying differentially expressed genes related to HIV, Substance Use Disorder (SUD), and their comorbidity to discover potential biomarkers that enhance diagnostic accuracy across conditions (HIV+SUD+, HIV+SUD-, HIV-SUD+, HIV-SUD-).
• Gained insights into molecular pathways affected by these conditions to support the development of targeted treatments.
• Tech stack used: Implemented Shell scripting, FastQC, HISAT2, DESeq2, UpSetR, Venn diagram and SAMtools for NGS analysis.

Certifications

• International conference cum workshop on plant molecular biology and bioinformatics.
• 2 days’ workshop on NGS.
• International conference on Bioinformatics in Health and Food Security.
• Emerging Topics in Modern Biology and Bioinformatics.
• Bioinformatics for biologists analysing and interpreting genomics datasets- By Future learn.

Skills: WGS, ONT, METAGENOMIC, NGS data analysis, Machine Learning, Molecular Simulation, Python, R, Perl, NCBI BLAST, SRA toolkit, UCSC genome Browser, Cytoscape, Pymol, Fastqc, KRAKEN2, BWA, GATK, IGV, QUIME2, MySQL, SQL, Database and management system, Molecular Modelling & Drug Discovery, Genomics & Proteomics, Structural Bioinformatics, Bio sequence Analysis

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Cover Letter:

Dear Sir/Madam,

I am Ramprasad Rasal, a postgraduate in Bioinformatics from Pondicherry University. I am currently immersed in my project work, focusing on Next-Generation Sequencing (NGS) data analysis using R, bioinformatics tools, and Linux.

Additionally, I am working as an intern at Haystack Analytics, where I have gained hands-on experience in analyzing Whole Genome Sequencing (WGS), Oxford Nanopore Technologies (ONT), and metagenomics data, along with generating analytical reports.

With a strong foundation in bioinformatics and practical expertise in NGS data analysis, I am confident in my ability to contribute effectively to your projects and initiatives. I am proactive, adaptable, and eager to continue learning and growing within the field.