About
Highly motivated B.Tech student in Bioengineering with a strong foundation in AI-driven genomics, biomedical image analysis, and data science. Proven ability to develop automated pipelines, analyze complex biological datasets, and contribute to research insights in cancer biology and real-time gene data retrieval. Seeking to leverage expertise in Python, R, Java, and deep learning frameworks to innovate within the biotechnology and healthcare sectors.
Work
Pune, Maharashtra, India
→
Summary
As a Project Research Intern, Harshit automated multi-channel cancer cell image analysis, significantly enhancing throughput and accuracy for circulating tumor cell evaluation.
Highlights
Automated multi-channel cancer cell image analysis using custom ImageJ macros and Java plugins, enabling high-throughput evaluation of circulating tumor cells (CTCs).
Integrated per-cell intensity measurement, morphological analysis (area, circularity), and karyoplasmic ratio calculations into a single reproducible pipeline, ensuring data consistency.
Reduced manual processing time from 7 minutes to 3 seconds per image by developing a fully automated workflow with Bio-Formats and ROI-based quantification, improving both speed and accuracy by over 50%.
Pune, Maharashtra, India
→
Summary
As a Summer Project Intern, Harshit conducted comprehensive genomic dataset analysis and developed automated pipelines for data wrangling and visualization in cancer biology research.
Highlights
Conducted preprocessing and analysis of genomic datasets using Python and R, focusing on gene expression and mutation profiling relevant to cancer biology research.
Developed robust pipelines for automated data wrangling and visualization, including clustering, differential expression, and pathway enrichment analysis for genomic datasets.
Collaborated with researchers to interpret complex bioinformatics results, contributing to integrative insights in cancer genomics and supporting experimental validation.
Awards
Finalist at NABARD Rural Innovation Hackathon
Awarded By
NABARD
Recognized as a finalist in the national innovation hackathon, demonstrating innovative problem-solving skills and a commitment to rural development.
Skills
Programming Languages
Python, R, Java, SQL.
Data Science & Machine Learning
PyTorch, TensorFlow, Keras, Scikit-learn, OpenCV, Pandas, NumPy, Matplotlib, Seaborn, NLP, AI-driven QA Systems, Genomics Data Analysis.
Development Tools & Platforms
PyCharm, Jupyter Notebook, Google Colab, VS Code, Git, GitHub, Docker, ImageJ.
Bioinformatics & Biomedical Imaging
Genomic Datasets, Gene Expression Analysis, Mutation Profiling, Pathway Enrichment Analysis, Cancer Cell Image Analysis, Circulating Tumor Cells (CTCs), Bio-Formats, ROI-based Quantification, Biomedical Entity Linking.