Dedicated and highly analytical Data Support Engineer with 2.5 Years of experience in data management, troubleshooting, and problem-solving. Adept at ensuring data accuracy, integrity, and security, and skilled in resolving data-related issues efficiently. Seeking to leverage my robust technical background and experience to transition into a multifaceted role combining Data Science, Data Engineering, Machine Learning, and Cloud technologies to drive data-driven insights and innovation in a dynamic organization.
Project Title: “Score predictor for IPL"
Description:
We collected data which provides ball by ball details for all the matches. Various analytical rules are used in order to filter collected data with respect to the selected feature. Features can be match venue, runs mid, venue, batsman, bowler, striker, non-striker columns, using date, bat team, bowl team, runs, wickets, overs, runs_last_5, wickets_last_5, Further, cleaned data is split into training (80%) and testing data (20%). Training data is fed to all machine learning model and accuracy of each model is noted. Model having highest accuracy is selected for further prediction.