About
🌟 I am a Data Scientist at the intersection of Biopharma and AI, dedicated to transforming biological complexity into operational excellence. With an 🎓 MTech from IIT Kharagpur and a deep-rooted passion for data-driven solutions. Currently at Wockhardt Ltd., I’m driving digital transformation through: 📈 Process Optimization: Boosted API yield through high-precision parameter tuning and the successful deployment of ML-based process modeling. 🤖 AI Deployment: Streamlined site operations and historical data retrieval through the deployment of local LLMs. 📊 Enterprise-Wide Intelligence & Strategic Support Architected a multi-tier ecosystem of KPI dashboards and Management Information Systems (MIS) that serves as the strategic backbone for site operations. My work bridges the gap between floor-level data and boardroom decisions: • C-Suite Strategy: Delivered specialized, high-level MIS directly to the MD, Chairman, and President to drive global supply chain and site-wide strategic planning. • Operational Excellence: Developed real-time monitoring for Production and Quality (QMS), ensuring data integrity and GxP compliance through automated tracking. • Sustainability & Engineering: Designed energy consumption dashboards for the Engineering department, identifying cost-saving opportunities through granular utility analytics. 💡 My journey began with a focus on Bioinformatics and Systems Biology, evolved through clinical data roles at TTCRC. I specialize in leveraging Proteomics and Mass Spectrometry data to build computational solutions that prioritize patient outcomes and accelerate biopharma innovation. 🤝 I’m always eager to discuss how the blend of AI and Biotech can drive the next wave of efficiency. 📩 Feel free to DM me for collaborations or to talk shop!
Work experience
Data Scientist at Wockhardt Ltd., Jan 2025 - Present · 1 yr 8 mos, Aurangabad, • Optimized process parameters in API development at Wockhardt Ltd. using AI tools and Big Data. • Integrated Python programming language for efficient data analysis and automation. • Achieved significant cost savings and improved efficiency in API development processes.
Research Assistant at TTCRC - TATA TRANSLATIONAL CANCER RESEARCH CENTRE, Feb 2024 - Dec 2024 · 11 mos, Kolkata, West Bengal, India, • Conducted clinical data analysis using ML and DL techniques to support research projects at TTCRC. • Developed a visualization dashboard in Python Streamlit for data presentation and analysis. • Collaborated with clinicians and scientists to enhance project outcomes and improve presentation skills.
Internship Trainee at TTCRC - TATA TRANSLATIONAL CANCER RESEARCH CENTRE, Jul 2023 - Jan 2024 · 7 mos, On-site, • Conducted image analysis of FFPE tissue with H&E stained for a rare subtype of breast Cancer using QuPath. • Implemented nextflow and Docker for pipeline setup to reduce processing time and improve result reproducibility.
Student Intern at Indian Institute of Technology, Bombay, May 2021 - Aug 2022 · 1 yr 4 mos, Mumbai, Maharashtra, India
Education
Master of Technology - MTech, Biotechnology and Biochemical Engineering, Indian Institute of Technology, Kharagpur
Bachelor of Technology - BTech, Biotechnology, haldia institute of technology
