Portfolio
Explore my portfolio of machine learning projects, data analysis work, and data engineering pipelines. Each project demonstrates my expertise in Python, SQL, and various ML frameworks.
Lithology Prediction Model
Developed a machine learning model to classify subsurface rock types using well log data (DEPTH, GR, RHOB, NPHI). Improved geological interpretation accuracy and assisted in reservoir characterization.
- • Preprocessed and analyzed large-scale well log datasets for model training and validation
- • Implemented classification algorithms for rock type identification
K-Means Clustering Model
Implemented K-Means clustering to identify electrofacies and formation zones from well log data. Provided actionable insights for subsurface exploration and geoscientific decision-making.
- • Collaborated with geoscientists to interpret model outputs effectively
- • Aided reservoir characterization through clustering analysis
Airbnb Data Analysis Project
Performed data cleaning, transformation, and exploratory data analysis (EDA) using Python and SQL on Airbnb datasets. Identified key patterns in pricing, occupancy, and host behavior to derive actionable business insights.
- • Developed visualizations with Matplotlib to present data-driven insights clearly
- • Analyzed pricing trends and host behavior patterns
YouTube Trending Videos Analytics Pipeline In Progress
Built a data pipeline to collect, clean, and process daily trending videos via YouTube API. Orchestrated workflows and stored data in a warehouse to support dashboards and ML analysis.
- • Demonstrates experience in end-to-end data engineering, ETL processes, and analytics
- • Integrated YouTube API for automated data collection
GitHub Repositories
Explore selected repositories from the STUDIOUS-dev GitHub account.