Hello, I'm

Ankit Singh

|

Research Fellow exploring galaxy evolution through cosmological simulations and leveraging data science to solve real-world problems.

Ankit Singh

// About Me

I am a Research Fellow at the University of Nottingham, working at the intersection of astrophysics and computational science. My research focuses on understanding galaxy evolution within the cosmic web using state-of-the-art cosmological hydrodynamical simulations like Horizon Run 5 and EAGLE.

With a strong foundation in physics and growing expertise in data science, I apply advanced statistical modeling, machine learning, and data analytics to both scientific research and industry problems — from financial modeling and computer vision to time series forecasting. I hold two applied data science certifications from WorldQuant University and have authored 12 peer-reviewed publications with 100+ citations.

// Skills & Tools

Programming & Data

Python SQL C Cython Bash Streamlit Gradio Flask Git Linux HPC (MPI/Slurm) Jupyter

Machine Learning & AI

PyTorch Scikit-learn LightGBM Deep RL CNNs GANs YOLOv8 ARIMA GARCH Prophet SMOTE/ADASYN K-Means PCA OpenCV

GenAI & NLP

RAG Pipelines FAISS ChromaDB Sentence-Transformers OpenAI API Gemini API Ollama LLM Engineering

Astrophysics & Science

Galaxy Evolution Cosmological Simulations SED Fitting Monte Carlo Methods Radiative Transfer Large-scale Structure AGN

// Featured Projects

UK Accident Severity Classification

Dual-strategy ML models (LightGBM, Random Forest) with ADASYN and SMOTE+Tomek on 151K accidents, achieving 99.7% recall for severe cases.

LightGBM Scikit-learn SMOTE

UK Visa RAG Chatbot

RAG chatbot using FAISS/ChromaDB vector stores and sentence-transformers to answer UK immigration questions from GOV.UK data.

RAG FAISS Streamlit NLP

RL Traffic Signal Control

Reinforcement learning agent trained on real TfL API traffic data to optimize intersection signal timing and reduce vehicle wait time.

Deep RL PyTorch API

Mutual Fund Analyzer

Deployed Streamlit app with Morningstar data for portfolio analysis — sectoral distribution, Sharpe ratio, and company exposure.

Streamlit Altair Scikit-learn
View All Projects →

// Recent Publications