Driven Data Science Intern ready to thrive in demanding digital intelligence processing environments. Well-informed on latest machine learning advancements. Ready to combine tireless hunger for new skills with desire to exploit cutting-edge data science technology.
Python
E-Commerce Analysis, Personal Project December 2022 - March 2023
· Acquired proficiency in Big Data management on Ubuntu, leveraging virtual box technology to optimize data processing capabilities and actively exploring Multi Node configurations to scale and enhance data analysis capabilities.
Flight fare prediction, Personal Project September 2022 - November 2022
· Developed a Machine Learning application for flight price prediction by utilizing diverse parameters, including boarding points, destinations, airlines, and more.
· Conducted a comprehensive exploratory analysis, effectively managing categorical data to enhance predictive accuracy.
· Employed rigorous testing, allocating 30% of the dataset to identify and implement the most effective predictive model.
· Sourced data from the open-source Kaggle platform, resulting in a 20% reduction in pricing errors and a significant boost in customer satisfaction.
Python Sudoku game, Personal Project August 2022 - August 2022
· Spearheaded the design and development of a captivating Sudoku game application utilizing Python, Pygame, and Requests libraries. Engineered a flexible architecture that seamlessly adapts to various gameplay scenarios, enhancing user immersion and enjoyment.
· Dynamically retrieved Sudoku grid values from the Sugoku web page, ensuring an ever-evolving and engaging puzzle experience.
Sales Analysis, Personal Project July 2022 - July 2022
· Integrated Splunk analysis and Spreadsheet analysis to identify sales and investment strategies. Managed and analyzed the dataset comprising 50,000 rows of sales data from google sources.