I began learning programming in high school and focus on
data science/engineering.
Most of my work is focused on
exploratory data analysis (EDA),
data cleaning and transformation,
model selection and fine-tuning, and
evaluation. I also create
data-visualization dashboards, and build
ETL pipelines to process time-series data via cron jobs.
Projects I Recently Built:
Hydrological Forecasting Engine:
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Created machine learning model using regularly collected data from API endpoints for model training, testing, and fine-tuning.
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Used FastAPI endpoints to train, test, and fine-tune Random Regressor at regular intervals.
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Used React.js hooks and components to render interactive dashboards and webpages.
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Implemented a Laravel MVC backend with authentication, routes, controllers, and views.
Languages/Technologies:
Languages:
Data Science/ML
- SQL, NumPy, Pandas, Scikit-Learn, FastAPI, R
Frontend:
- HTML, CSS, Bootstrap, JavaScript, AJAX, React.js
Databases:
Developer Tools
Methodologies
Experience:
Research Assistant:
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Worked with tensorflow MoDL algorithm to perform bio-image segmentation, morphological analysis, and function prediction
Machine Learning Researcher & Lecturer:
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Conducted data analysis on large datasets using Pandas and Scikit-learn to explore patterns in
datasets and prepare them for ML models.