Hi there, I’m Koushik Naskar, a Data Scientist with a Ph.D. in Computational Sciences, working at the intersection of AI, automation, and real-world problem solving.

Professionally, I design and develop AI solutions that bring ideas to life through automation, smarter decision-making, and scalable innovation. My work focuses on applying Generative AI to create meaningful real-world impact across industries, from operations to digital products.

In my free time, I enjoy exploring emerging technologies, experimenting with new ideas, and building tools that solve practical problems. I’m constantly curious about how technology can be applied in creative and meaningful ways. Check out the Projects page to learn more about the tools and solutions I’ve built.

🎓 Education

• Doctor of Philosophy (PhD) — Quantum Reaction Dynamics
  📍 Indian Association for the Cultivation of Science, Kolkata
  📅 Jun 2018 – Jul 2024

• Master of Science (MSc) — Physics
  📍 Indian Institute of Technology, Guwahati
  📅 2015 – 2017

• Bachelor of Science (BS) — Physics
  📍 Presidency University, Kolkata
  📅 2012 – 2015

🛠️ Skills

• 🖥️ Programming Languages: Python, C, C++, Fortran, Bash/Shell Scripting, JavaScript, HTML5, CSS3, OOP, DSA, Data Visualization

• 🤖 Machine Learning: Pandas, NumPy, Scikit-Learn, PyTorch, Deep Learning, Feature Engineering, Predictive Modelling, Time Series Forecasting, Image Processing

• 🧠 Generative AI: LLMs, Prompt Engineering, Fine-tuning, RAG, GraphRAG, LangChain, Vector Databases, OpenAI API, Agentic AI

• 🌐 Full Stack Web Development: Node.js, Django, Flask, Dash-Plotly, API Development & Integration, Interactive Data Dashboards, Authentication Systems

• 🚀 High Performance Computing: OpenMP, MPI, OpenACC, CUDA, GPU Computing, Parallel/Distributed Computing, Job Scheduling (PBS, SLURM), Performance & Memory Optimization

• 📊 Data Engineering: SQL, ETL Pipelines, Data Warehousing, Data Cleaning & Transformation, Query Optimization

• 🧰 Miscellaneous: Git, LaTeX, Linux Environment, Docker, CI/CD Pipelines, Docker, Statistical Analysis, Scientific Computing