Data Scientist | Machine Learning Engineer | Python & R Specialist
Passionate data scientist with a keen interest in transforming complex data into meaningful insights. I specialize in machine learning, deep learning, and advanced analytics, bridging the gap between data and actionable business strategies.
Interactive overview of my experience, education, and skills. Explore the sections below.
Explore my work across different domains of data science.
The COVID-19 Data Analysis Dashboard is an interactive web app for exploring, visualizing, and forecasting global COVID-19 trends using data from Our World in Data. Users can analyze country-level stats, compare regions, track vaccinations, and detect anomaliesβall in one place.
An advanced, interactive movie recommendation system built with machine learning and the MovieLens dataset. This web application helps users discover new films, explore cinematic trends, and uncover deep insights into viewing behaviors.
This Gradio application uses a DenseNet-121 model to detect and classify brain tumors from MRI scan images. The model can identify three different types of brain conditions with 94% Overall accuracy.
This web app converts Python code into optimized C++ using large language models (LLMs). It benchmarks the output and performance of both the original Python code and the generated C++ version for side-by-side comparison.
This project centers around the design, creation, and querying of a relational SQL database based on the Brazilian E-Commerce Public Dataset by Olist. It highlights how raw CSV data from a real-world marketplace can be transformed into a structured, normalized relational database for robust analysis.
Interested in collaborating or discussing data science projects?