CV

Experience

Assistant Professor GH Raisoni College of Engineering and Management June,2025 - December, 2025

• Taught core Data Science concepts.
• Taught core Quantum Computing concepts.

Education

Defence Institute of Advancd Technology, M.Sc in Data Science, 2023 - 2025

• Research focus: GenerativeAI, Maritime Research
• Supervisor: Dr. B. Ramkrishna

Midnapore College(Autonomous), B.Sc in Mathematics(H), 2020 - 2023

• Graduated with First Class Honours

Projects

Exoplanet Detection using Machine Learning
◦ S. Manna, A. Sinha, Dr. S. Kumari, NCRA, TIFR
◦ Applied K-Nearest Neighbors (k-NN) on Kaggle light curve datasets to analyze intensity fluctuations and distinguish exoplanets from non-exoplanetary candidates.
◦ Tools Used: Python, Pandas, NumPy, Scikit-learn, Matplotlib, VS Code

CyberAICup2024 KISTI-IDS2024: Network Intrusion Detection
◦ S. Manna, B. Hati, A. Mishra, H. Vishwakarma, Dr. S. Kumari
◦ Developed a machine learning–based Network Intrusion Detection system interpolating payload data and training a LightGBM model to achieve 98.71% accuracy with faster real-time monitoring.
◦ Tools Used: Python, Pandas, NumPy, LightGBM, XGBoost, VS Code

Movie Recommender System TMDB
◦ S. Manna
◦ Built a recommender system using TMDB data, applying Count Vectorization and cosine similarity to generate personalized movie suggestions.
◦ Tools Used: Python, Pandas, NumPy, Scikit-learn, TMDB Dataset, VS Code

Generate CIFAR-10 Small Color Photographs using GAN
◦ S. Manna
◦ Designed and trained a GAN model on CIFAR-10 to generate realistic and diverse 32×32 color images, demonstrating GANs for image synthesis, augmentation, and creative content generation.
◦ Tools Used: Python, PyTorch, NumPy, Pandas, Matplotlib, CIFAR-10 Dataset, VS Code

Image Generation using Diffusion Model
◦ S. Manna
◦ Implemented Denoising Diffusion Probabilistic Models (DDPMs) to iteratively refine noise into realistic images, showcasing their effectiveness for art, design, and data augmentation.
◦ Tools Used: Python, PyTorch, NumPy, Pandas, Matplotlib, GitHub Dataset, VS Code

Internships & Certifications

Next24tech Technology & Services (NIP/2024/05-1126)
June 2024 – Aug 2024
◦ Completed a 2-month Generative AI internship focusing on deep learning and generative models.

AICTE Internship (INNOVATE/ailm/000666)
July 2024 – Oct 2024
◦ HealthCure: An Integrated Machine Learning Solution for Comprehensive Medical Care.

ACMAGRADE MOOD INDIGO – IIT Bombay
July 2024 – Oct 2024

Artificial Intelligence Fundamentals – IBM
July 2024 – Oct 2024

Power of Python in Data Analysis – Ramkrishna Mission Vidyamandira
One-day workshop, Nov 2024

Skills

Programming: Python, SQL, PyTorch, LaTeX
Technical Skills: Transformer, Attention, Encoder-Decoder, DDPM Tools & Frameworks: Hugging Face, GitHub, Cursor, LangChain, LangGraph, MCP Mathematical Skills: Linear Algebra, Probability & Statistics, Calculus
AI Skills: Machine Learning, Deep Learning, Large Language Models (LLM), Generative AI, Diffusion Models, GANs
Languages: English (Native), Deutsch (Fluent) Soft Skills: Problem-solving, Communication, Analytical Thinking, Time Management, Adaptability, Creativity, Collaboration

Hobby

Badminton - I love to play Badminton