Varshini S
@user.2405178
Software Developer at Quantitative Brokers
Chennai
Varshini S is a Dual Degree Biotechnology graduate from IIT Madras with experience spanning data analysis, software development, and AI/ML research. She has worked at Pfizer Healthcare as a Data Analyst, at Quantitative Brokers as a Software Developer optimizing Apache Airflow, and completed her M.Tech thesis at AstraZeneca on Medical Image Generation using Poisson Flow Generative Models. She is skilled in Python, R, SQL, and machine learning, with notable research achievements including a Stanford Summer Research Fellowship.
Experience
M.Tech Thesis Intern
AstraZeneca India
Medical Image Generation using Poisson Flow Generative Model (PFGM). Implemented PFGM on BraTS dataset with FID of 0.91. Extended PFGM by solving the Poisson equation in 3 dimensions for 3D CT image generation.
Software Developer
Quantitative Brokers LLC
Efficient Resource Utilization and Enhanced Automation through Apache Airflow Optimization. Reduced CPU usage by 34% by configuring Celery executor. Leveraged Q language integrated with Airflow workflows to automate ETL processes.
Data Analyst
Pfizer Healthcare India Pvt Ltd
Integrative Patient Profiling and Fraudulent Activity detection in the Central Monitoring team. Constructed a dynamic dashboard aggregating over 1000 site-specific patient profiles from 11 distinct study datasets. Created models employing Clustering algorithms and Data mining to flag outliers. Detected suspicious activity in 16 sites.
Data Scientist
Metflux Research Pvt Ltd
Algorithmic Growth Tracking and Predictive Modeling Tool for Children's Physical Development. Implemented algorithm for identifying height and weight percentile based on WHO-IAP growth chart standards. Developed Random Forest model with 98.7% accuracy.
Education
Indian Institute of Technology, Madras
Dual Degree
Biotechnology
Minor in Economics
Instituto Superior Técnico
Bologna Masters degree
Biotechnology
Portugal
Licenses & Certifications
Grade 4 Vocalist
Trinity College