Results-driven data scientist leveraging expertise in Python programming and data visualization to deliver actionable insights. Skilled in SQL databases and Tableau, I excel in transforming complex data into compelling presentations, fostering collaboration, and driving strategic decision-making.
Completed Coursework:
Data Science Internship: Codsoft online, completed 2023
Capstone Project: Mini project on Red wine quality prediction with ML libraries using Python, Mini project on CNN image classification
Dissertation1: An Avenue Study of Convolutional Neural Network for Image Stratification, published LNEE ICRIC, 2023 Oct 23, 2024
Dissertation2: Optimizing Supply Chain Efficiency using Machine Learning for Demand Forecasting LNEE 2024, ICRIC'07 Volume 2 Proof Reading Submitted May 30, 2024
Thesis Paper: An Avenue Study of Convolutional Neural Network for Image Stratification
Lab Work Experience: