💼 Career Journey

Data Scientist

Wockhardt Ltd.
November 2024 - Present · 1 year 2 months
Maharashtra, India · On-site

Spearheading the integration of AI/ML and computational biology to accelerate biosimilar development and enhance R&D operational efficiency.

AI-Powered Solutions:

  • Developed and deployed SOP assistant application powered by Large Language Models (LLMs), resulting in significant improvement in organizational knowledge accessibility and operational efficiency
  • Automated critical R&D processes, including chromatogram data extraction and IT maintenance scheduling, to bolster data security and team productivity

Computational Biology & Protein Engineering:

  • Engineered Kex2 enzyme mutants with enhanced stability and activity through machine learning, leading to substantial cost reduction
  • Applied molecular docking and molecular simulations to expedite biosimilar development timelines

Process Optimization:

  • Leveraged machine learning models to predict optimal parameter ranges for upstream and refolding processes, maximizing production output and quality while minimizing energy consumption and product loss
  • Designed optimal Design of Experiments (DOE) for bioprocess development using QbD principles to ensure robust, scalable manufacturing processes

Professional Development:

  • Completed intensive CBT Course Series at IIT Delhi covering:
    • Module 1: Design of Experiments (DOE) for Bioprocess Experimentation with JMP
    • Module 2: Machine Learning for Bioprocess Engineers (DNN/CNN/LSTM, PINNs, Explainable AI)
    • Module 3: Biopharma 4.0 - Next-Gen Biomanufacturing (Digital Twins, Soft Sensors, Multi-objective Optimization)

Recognition:

  • Pride Of Wockhardt Award (September 2025) - Recognized for exceptional contributions

Technologies Used:
Python, Large Language Models (LLMs), Machine Learning, Computational Biology, Molecular Docking, DOE, JMP, ML Deployment, Process Optimization

Back End Developer (Internship)

Wesoftek Solutions
July 2024 - October 2024 · 4 months
Gurugram, Haryana, India · On-site

Designed and developed high-performance APIs with C# and ASP.NET Core in Visual Studio for enterprise management systems.

Key Projects:

  • Vehicle Management System
  • Visitor Management System
  • Asset Management System

Key Responsibilities:

  • Database architecture design
  • Implementing secure authentication mechanisms
  • Optimizing API scalability, security, and performance

Technologies Used:
C#, ASP.NET Core, Visual Studio, API Development, Database Design

🎓 Education

Master of Technology (MTech)

Indian Institute of Technology, Kharagpur
August 2022 - August 2024

Premier technical education from one of India's top engineering institutes, focusing on advanced data science, machine learning, and computational approaches for industrial applications.

Key Learnings:

  • Advanced Machine Learning & Deep Learning
  • Statistical Data Analysis
  • Computational Methods
  • Process Engineering & Optimization
  • Research Methodology

Skills Developed:
SQL, Python (Programming Language), Data Analysis, Machine Learning

Activities: Badminton

Bachelor of Technology (BTech)

Sardar Vallabhbhai Patel University of Agriculture and Technology
2018 - 2022

CGPA: 8.24/10.0

Strong foundation in engineering principles with focus on agricultural and biological systems, complemented by active participation in leadership and social service activities.

Activities & Leadership:

  • National Service Scheme (NSS) - Volunteer (Jan 2018 - Jan 2021, 3 years)
  • National Cadet Corps (NCC) - Senior Cadet (Jan 2019 - Jan 2022, 3 years)
  • Sports: Badminton, Cricket

📜 Certifications & Training

AI & Machine Learning

  • Machine Learning In Production - DeepLearning.AI (Issued Apr 2025)
    • View Credential
    • Skills: MLOps, ML Deployment Challenges, Model Monitoring, Continuous Delivery, Data Pipelines
  • Google Data Analytics - Google (Issued Dec 2024)
    • Credential ID: 2XA5TSOZCWEY
    • View Credential
    • Skills: Data Analytics, Data Visualization, SQL, R Programming

Specialized Training

  • CBT Course Series - IIT Delhi (2025)
    • Design of Experiments (DOE) for Bioprocess Experimentation (JMP)
    • Machine Learning for Bioprocess Engineers (DNN/CNN/LSTM, PINNs)
    • Biopharma 4.0: Next-Gen Biomanufacturing
    • Digital Twins, Soft Sensors, Multi-objective Optimization
  • Additional Certifications (7+ more certifications available)
    • Various specialized courses in Data Science, ML, and Biopharmaceutical applications

🏅 Publications & Presentations

Conference Presentations

  1. "Applying Machine Learning to Insulin Manufacturing: A Practical Approach"
    International Conference on Pharmaceutical Manufacturing, 2024
  2. "Design of Experiments vs. Machine Learning: Finding the Right Balance"
    AI in Pharma Summit, 2023
  3. "Implementing Explainable AI in Regulated Environments"
    PDA Annual Meeting, 2023

Technical Articles

  1. "Why DOE Still Matters in the Age of Machine Learning"
    Published on this blog, January 2025
  2. "Using AI in Bioprocessing: What Actually Works"
    Published on this blog, January 2025

🎯 Areas of Impact

Throughout my career, I've focused on creating practical, validated, and interpretable solutions that bridge the gap between advanced analytics and manufacturing reality.

Key Impact Areas:

  • Quality Improvement: Reduced defect rates and improved process capability
  • Cost Reduction: Optimized resource utilization and reduced waste
  • Knowledge Management: Made critical manufacturing knowledge more accessible
  • Regulatory Compliance: Ensured all AI/ML applications meet regulatory requirements
  • Team Development: Trained colleagues in statistical and data science methods

Building the bridge between data science innovation and pharmaceutical manufacturing excellence.