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Bioinformatics & Computational Biology | RNA-seq, GWAS & Machine Learning | Python, R, Bioconductor
Newark, Delaware, United States

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Jobs verified_user 0% verified
  • Baylor Genetics
    Bioinformatics Research Intern
    Baylor Genetics
    Jan 2026 - Current (7 months)
    • Developing and optimizing RNA-seq analysis pipelines for bulk and single-cell transcriptomic data from TCGA cancer cohorts using STAR, featureCounts, and DESeq2 on an HPC environment, reducing pipeline runtime by ~35% through parallelization. • Performing integrative multi-omics analysis combining gene expression, somatic mutation, and copy number variation data to identify candidate driver genes in solid tumors.
  • VASANTH AGRI BIOTECH PVT LTD
    AGRO INDUSTRIAL ATTACHMENT
    VASANTH AGRI BIOTECH PVT LTD
    May 2023 - Jun 2023 (2 months)
    During my internship at Vasanth Agri Bio-Tech Pvt. Ltd., I gained valuable hands-on experience in the dynamic field of bioinformatics. This opportunity allowed me to immerse myself in gene studies, apply quality control techniques for crop improvement, and participate in agricultural marketing initiatives. It was a pivotal experience that further fueled my passion for the intersection of agriculture and data science.
  • VASANTH AGRI BIOTECH PVT LTD
    Crop Genetics Intern
    VASANTH AGRI BIOTECH PVT LTD
    May 2023 - Jun 2023 (2 months)
    Supported gene-level studies and quality assessment workflows for crop improvement initiatives. Assisted with biological data handling, interpretation of experimental results, and basic bioinformatics-related analyses, reinforcing interest in genomics and data-driven biology.
  • P
    RURAL AGRICULTURAL WORK EXPERIENCE PROGRAMME
    Professor Jayashankar Telangana State Agricultural University
    Jan 2023 - Jun 2023 (6 months)
    Participating in the Rural Agriculture Work Experience Program (RAWEP) as an undergraduate provided me with valuable hands-on experience in crop production. Engaging in day-to-day field visits, I worked closely with farmers to address their challenges. This immersive experience deepened my understanding of practical agriculture and rural farming communities. I gained expertise in pest and disease management, soil fertility, and irrigation practices. RAWEP enabled me to bridge the gap between theory and practice, implementing sustainable farming techniques and optimizing resource management. I developed strong interpersonal and communication skills through collaboration with farmers and agricultural professionals. RAWEP transformed my proble
  • P
    Rural Agricultural Work Experience Programme (RAWEP)
    Professor Jayashankar Telangana State Agricultural University
    Jan 2023 - Apr 2023 (4 months)
    Conducted structured field observations and biological data collection across multiple crop systems. Applied problem-solving and analytical reasoning to assess pest pressure, soil fertility, and crop performance, strengthening skills in data interpretation and experimental thinking relevant to biological research.
  • P
    Agricultural Experiential Learning Programme (AELP)
    Professor Jayashankar Telangana State Agricultural University
    Jul 2022 - Dec 2022 (6 months)
    Managed experimental plant growth systems and monitored performance metrics across production cycles. Collected, organized, and analyzed observational data to evaluate growth trends, supporting data-driven decision-making and applied biological research.
  • P
    Agricultural Experiential Learning Programme
    Professor Jayashankar Telangana State Agricultural University
    Jul 2022 - Dec 2022 (6 months)
    Led and managed the 'Commercial Horticulture and Nursery Raising Unit' during a dynamic 6-month tenure. Proficiently executed protected cultivation techniques, resulting in a substantial increase in crop yield and quality. This hands-on experience equipped me with invaluable skills in agricultural innovation
Education verified_user 0% verified
  • University of Delaware
    Master of Science - MS, Biomathematics, Bioinformatics, and Computational Biology
    University of Delaware
    Jan 2024 - Dec 2025 (2 years)
    Relevant Coursework: Bioinformatics, Programming for Bioinformatics, Biostatistics, Systems Biology, Big Data Analytics in Healthcare, Databases for Bioinformatics, Machine learning.
  • P
    Bachelor( Hons.) of Agricultural Science, Agriculture, General
    Professor Jayashankar Telangana State Agricultural University
    Jan 2019 - Dec 2023 (5 years)
    As a passionate agricultural undergraduate dedicated to driving innovation and rural development. Leveraging expertise in agricultural systems, problem-solving, and analytics to optimize farming, boost yield, and reduce post-harvest losses. Uniting tradition with modern techniques for a sustainable agricultural future and national food self-sufficiency.
Projects (professional or personal) verified_user 0% verified
  • University of Delaware
    Diabetes Risk Prediction Using NHANES Clinical Data
    University of Delaware
    Nov 2025 - Jan 2026 (3 months)
    Extracted and merged multiple NHANES datasets, transformed clinical and demographic variables through preprocessing and feature engineering, and loaded curated datasets into machine learning workflows for predictive modeling and SHAP-based interpretation.
  • University of Delaware
    RNA-seq Analysis of Drought Stress in Maize
    University of Delaware
    Sep 2025 - Dec 2025 (4 months)
    Extracted RNA-seq datasets from NCBI SRA, transformed raw transcript abundance data using Kallisto, tximport, and DESeq2 pipelines, and loaded processed datasets for downstream differential expression, functional enrichment, and network analyses. Performed data cleaning, metadata integration, normalization, quality control, and statistical analysis across multiple biological conditions.
  • University of Delaware
    RNA-seq Analysis of Drought Stress in Maize
    University of Delaware
    Jun 2025 - Oct 2025 (5 months)
    Extracted RNA-seq datasets from NCBI SRA, transformed raw transcript abundance data using Kallisto, tximport, and DESeq2 pipelines, and loaded processed datasets for downstream differential expression, functional enrichment, and network analyses. Performed data cleaning, metadata integration, normalization, quality control, and statistical analysis across multiple biological conditions.