Skills
I bring end-to-end experience in data analysis, machine learning, and product analytics—from exploratory analysis and predictive modeling to dashboard development and stakeholder delivery. My skill set spans across Python, SQL, cloud platforms, and visualization tools, allowing me to build impactful, interpretable solutions that drive business decisions.
Data Analysis & Modeling:
- Regression
- Classification
- Clustering
- Time-Series
- Optimization
- Frequentist
- Bayesian statistics
Machine Learning, AI & Frameworks:
- Keras
- PyTorch
- Scikit-learn
- TensorFlow
- Deep Neural Networks
- Convolutional Neural Networks
- LSTM
- (Variational-)Autoencoder
- Transformers
- PCA
- t-SNE
- XGBoost
- GenAI
Data Visualization & Reporting:
- PowerBi
- Tableau
- LookerStudio
- Matplotlib
- Seaborn
- Plotly
- Streamlit
Data Engineering:
- SQL
- BigQuery
Programming & Tools:
- Python
- R / RStudio
- SQL
- Github / Git
- Docker
- Jupyter Notebooks
- Paperspace
- Visual Studio Code
- Anaconda
- MS
Cloud:
- Google Cloud Platform
- Amazon Web Services
DEMO PROJECTS
The demo projects have been created solely for demonstation purposes.
My Github Repository
In this repository, you'll find a curated collection of projects from my studies at Harvard University, alongside hands-on demo projects that showcase the skills and services I offer. These include work in data science, machine learning, analytics dashboards, and AI-powered tools. Whether you're a collaborator, recruiter, or client, feel free to explore the code and see how I approach real-world challenges through clean, practical, and well-documented solutions.
