LinkedIn Profile Information

This file contains the real information extracted from your LinkedIn profile on December 28, 2025.

Personal Information

  • Name: Anuj Pandey
  • Headline: Data Scientist   IIT Kharagpur
  • Location: Maharashtra, India
  • LinkedIn: linkedin.com/in/anuj-pandey9
  • Connections: 500+
  • Followers: 2,695

Current Position

Data Scientist at Wockhardt Ltd.
November 2024 - Present (1 year 2 months)
Maharashtra, India · On-site · Full-time

About

“I’m a Data Scientist passionate about applying AI, machine learning, and computational biology to accelerate innovation in biotechnology and pharmaceutical research. At Wockhardt Ltd., I’ve been leading initiatives that bridge data science with bioprocess optimization — from building AI-powered document assistants and automating R&D workflows to leveraging LLMs and predictive modeling for biosimilar development. My work focuses on transforming complex scientific data into actionable insights that improve efficiency, product quality, and decision-making across R&D and manufacturing.”

Core Areas of Interest

  • Artificial Intelligence & Machine Learning
  • Computational Biology
  • Large Language Models (LLMs)
  • Data Analytics & Process Optimization
  • Pharmaceutical R&D Digital Transformation

Key Responsibilities & Achievements

  • Developed and deployed SOP assistant application powered by LLMs
  • Automated critical R&D processes (chromatogram data extraction, IT maintenance scheduling)
  • Engineered Kex2 enzyme mutants with enhanced stability through ML
  • Applied molecular docking and simulations for biosimilar development
  • Leveraged ML models for upstream and refolding process optimization
  • Designed optimal DOE for bioprocess development using QbD principles

Skills Used

Python, Large Language Models, Machine Learning, Computational Biology, Molecular Docking, DOE, JMP, ML Deployment, Process Optimization

Previous Experience

Back End Developer (Internship) at 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
  • Projects: Vehicle Management, Visitor Management, Asset Management
  • Skills: C#, ASP.NET, Visual Studio, SQL Server, API Development

Education

Indian Institute of Technology, Kharagpur

Master of Technology - MTech
August 2022 - August 2024

  • Activities and societies: badminton
  • Skills: SQL, Python (Programming Language), Data Analysis, Machine Learning

Sardar Vallabhbhai Patel University of Agriculture and Technology

Bachelor of Technology - BTech
2018 - 2022

  • Grade: 8.24 CGPA
  • Activities and societies: NSS, NCC, Badminton, Cricket

Certifications (9 total, showing top 2)

  1. Machine Learning In Production - DeepLearning.AI
    • Issued: April 2025
    • Credential: coursera.org/verify/KH3BCR9DT0ZX
    • Skills: MLOps, ML Deployment Challenges, Model Monitoring, Continuous Delivery, Data Pipelines
  2. Google Data Analytics - Google
    • Issued: December 2024
    • Credential ID: 2XA5TSOZCWEY
    • Skills: Data Analytics, Data Visualization, SQL, R Programming

Volunteer Experience

  1. National Service Scheme - Volunteer
    • January 2018 - January 2021 (3 years)
    • Social Services
  2. NATIONAL CADET CORPS - India - Senior cadet
    • January 2019 - January 2022 (3 years)
    • Social Services

Honors & Awards

Pride Of Wockhardt

  • September 2025
  • Associated with Wockhardt Ltd.

Skills (40 total, showing top 2)

  1. Computational Biology
    • Associated with: Data Scientist at Wockhardt Ltd.
  2. Design of Experiments (DOE)
    • Associated with: Data Scientist at Wockhardt Ltd.

Recent Activity

Recent Post (1 week ago)

Attended CBT Course Series at Centre of Excellence Biopharmaceutical Technology, IIT Delhi

Modules Completed:

  1. Module 1: Design of Experiments (DOE) for Bioprocess Experimentation
    • Deep dive into JMP software
    • Screening designs to custom designs with constraints
    • Statistical rigor in optimizing biological processes
  2. Module 2: Machine Learning for Bioprocess Engineers
    • Deep Learning (DNN/CNN/LSTM)
    • Physics-Informed Neural Networks (PINN)
    • Explainable AI (LIME/SHAP) for regulatory environments
  3. Module 3: Biopharma 4.0: Next-Gen Biomanufacturing
    • Digital Twins
    • Soft sensors
    • Multi-objective optimization
    • Automation insights from TCS research team

Connections & Following

  • Following: Vinay Krishna Gupta (Co-Founder & CEO at Antino IIT Kharagpur)
  • Following: Yann LeCun (VP & Chief AI Scientist at Meta)

Analytics (Private to you)

  • 152 profile views
  • 244 post impressions (Past 7 days)
  • 66 search appearances

Last Synced: December 28, 2025
Status: All information integrated into website