Computer Systems Engineering graduate with hands-on experience in data analysis and Machine Learning. Skilled in Python and R, with projects focused on extracting insights and supporting data-driven decision-making.
- Exploratory Data Analysis (EDA)
- Data Cleaning & Preprocessing
- Regression Modeling (Simple & Multiple)
- Statistical Inference
- Data Visualization
- Machine Learning
- Python Programming
- R Programming
- SQL (Data Analysis)
- Git & GitHub Workflow
- Built an end-to-end machine learning model using Linear Regression and Random Forest
- Performed data cleaning, feature engineering, and model evaluation (RMSE, R²)
- Identified key factors influencing house prices
- Developed an interactive dashboard to analyze automobile sales data
- Performed EDA and visualized trends using Plotly and Dash
- Collected data using APIs and web scraping
- Analyzed and visualized stock prices and revenue trends
- Performed data cleaning and exploratory data analysis on weather dataset
- Identified patterns in rainfall, temperature, and weather conditions
- Created visualizations to support insights and trend analysis
- Conducted hypothesis testing and statistical analysis on real datasets
- Visualized distributions and interpreted results
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IBM Data Science Professional Certificate (Coursera)
- Includes: Python, SQL, Data Analysis, Data Visualization, and Machine Learning
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Machine Learning with Python (Coursera)
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Data Visualization with Python (Coursera)
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Data Analysis with Python (Coursera)
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Databases and SQL for Data Science (Coursera)
- Advanced Machine Learning
- Advanced Statistical Modeling
- Business Data Science Applications
Actively seeking Junior Data Scientist opportunities.