Data Scientist & Machine Learning Engineer | Turning Data into Decisions
I’m a Data Scientist and Machine Learning Engineer who helps businesses turn messy, real-world data into clear insights, reliable models, and deployable solutions.
My background blends data analytics, machine learning, applied research, and advanced Excel-based analysis, so I don’t just build models. I focus on why they matter, how they’ll be used, and whether they actually solve the problem.
What I do best
Machine Learning & AI
* Predictive modeling (regression, classification, forecasting)
* Deep learning with PyTorch
* Model evaluation, optimization, and deployment
* End-to-end ML pipelines from data to model to results
Data Science, Analytics & Excel
* Exploratory Data Analysis (EDA)
* Feature engineering and statistical analysis
* **Advanced Excel for analysis and reporting**
(formulas, structured tables, data validation, print-ready reports, automation workflows)
* SQL (PostgreSQL), data modeling, and database design
**Real Projects, Real Impact**
* Electric Vehicle Performance Prediction – built a model to predict EV efficiency and performance using real-world parameters
* Hair and Fashion Image Classification – deep learning classifiers using PyTorch
* Flood Prediction with Spatial Data (PostGIS) – combined geospatial data, APIs, and analytics for environmental risk prediction
* Market and Crypto Data Analysis – transaction analysis, reporting, and insights
I’m comfortable working with raw datasets, incomplete requirements, and evolving ideas. The kind of projects where clarity needs to be built, not assumed.
Tools & Tech
* Python (Pandas, NumPy, Scikit-learn, PyTorch)
* SQL and PostgreSQL (including PostGIS)
* **Excel (advanced analysis, reporting, and automation)**
* Data visualization and reporting
* APIs, data pipelines, model deployment
* Git and GitHub
If you need someone who can analyze your data, build robust ML models, deliver clean Excel outputs when needed, and explain the results clearly, I’d love to help.