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Data Analyst intern
Tweek Labs•  March 2022 - Present
-- Implemented new features like max shoulder-speed of a fast bowler from labeled sensor data. -- Implemented methods like moving avg, selective scaling to remove fluctuations in sensor data. -- Setup a separate notebook of interactive charts to check for anomalies in various parameters of athletes using plotly. -- Developed aggregated scoring methods to rank players according to their stats. -- Most exciting! Applied Machine learning to predict ground contact with an avg accuracy of 11 milliseconds. Team : Motion Data Analytics language : python
intern
Ericsson•  September 2021 - October 2021
Project : Predict the root cause and recommend possible resolutions from the error messages from ENM upgradation logs. To build the resolution recommendation module JIRA database was used as a historical training data source Team : Log Analytics My task was to write a generalized parser in python to convert the JIRA xml tickets into json files. Which I have done within time and uploaded the files on elastic search and the visualization was done on kibana. Tech : Python extensively
Education
Christ University, Bangalore
Data Science, MS•  July 2021 - Present
University of Calcutta
statistics, BS•  August 2018 - September 2021
IIT, Madras (Indian Institute of Technology)
Data Science, BS
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