Programming Languages
- Python
- C/C++
- Scala
- MATLAB
- FORTRAN
- HTML/CSS
MATHEMATICS · STATISTICS · DATA SCIENCE
Turning mathematical ideas intomeaningful insights.
I'm a Data Science graduate student at BUET with a background in Mathematics and a curiosity about how data, algorithms, and statistical principles help us understand complex problems. I'm interested in machine learning, natural language processing, and distributed learning systems—and in the ideas that make them work.
TECHNICAL STACK
Tools I work with.
Languages, libraries, and systems I use across data science, machine learning, natural language processing, and data-intensive computing.
Data Science & Statistics
- Pandas
- Scikit-learn
- Statsmodels
- Scipy
- Seaborn
- Plotly
- GeoPandas
- Statistical Data Analysis
- Time-Series Analysis
- Hypothesis Testing
Machine Learning & AI
- PyTorch
- TensorFlow
- Hugging Face
- Generative AI
- LLM Fine-tuning
- Federated Learning
LLM Inference & Retrieval
- NLTK
- Llama.cpp
- LangChain
- LangGraph
- LlamaIndex
- FAISS
- Vector Databases
- Distributed RAG
Data Engineering & Cloud
- Apache Spark
- Apache Airflow
- BigQuery
- Google Cloud Platform
- MySQL
- PostgreSQL
Systems & Developer Tools
- Linux
- Git
- GitHub
- Power BI
- Data Studio
- LaTeX
- Selenium
- Playwright
- Distributed Systems