Implemented regression analysis on cars dataset to predict the prices of cars with good accuracy.
Employed advanced statistical methods to analyze and clean the data, while exploring various techniques for data visualization to gain insights and inform the modeling process.
Analyzing IPL Matches Dataset | Python
Conducted data analysis on IPL matches dataset to identify trends, patterns, and relationships among variables such as team and player performance, match outcomes, and factors affecting match results.
Utilized data analysis techniques to extract insights and inform strategic decision-making.
Applied programming expertise in Python and proficiency in data analysis libraries such as Pandas, NumPy, and Matplotlib to manipulate and visualize data. Applied statistical methods to ensure data accuracy and facilitate data cleaning.
Data Analysis of US Traffic Accidents | Python
Performed comprehensive analysis on the US Accidents (2016 - 2021) dataset consisting of data on over 4 million traffic accidents in the United States.
Employed data analysis techniques to identify patterns, trends, and factors contributing to accidents, as well as to generate insights that would inform road safety policies and decision-making.
Leveraged programming expertise in Python and proficiency in data analysis libraries such as Pandas, NumPy, and Matplotlib to manipulate and visualize data. Applied statistical methods and advanced analytical techniques to predict accident outcomes and identify correlations between variables.
Manual Control of Water Pump using Mobile | Design Project
Spearheaded the development of an innovative irrigation system, utilizing advanced engineering techniques and programming skills to enable remote control of water pumps using mobile devices.
Streamlined the farming industry by reducing the need for human intervention, increasing efficiency, and simplifying the irrigation process through the implementation of an automated water pump activation system.