Experience

LiveScore Group

• United Kingdom
• Spectator Sports
• 200 - 300 Employee

• Insights Analyst

  • Oct 2022 - Present

  - Responsible for generating customer-oriented insights across sports and casino betting products offered by LiveScore Bet and Virgin Bet. Working closely with the compliance and player protection teams to ensure that customers engage in responsible gambling across sports and casino. - Utilised SQL and Python to disassemble customer activity on LiveScore Bet and Virgin Bet, and observe betting patterns that might result in problem gambling behaviour. Maintained and modified a behaviour score model that flagged at-risk patterns in customer play. - Built a Python-based tool that automated and optimised sections of the player engagement process at LiveScore Group, which helped reduce operational workload by 98.8%, with the manual processing time of 45 minutes every day being reduced to a mere 30 seconds. This tool was built using Ipywidgets and pandas, on JupyterLab and deployed as an app using Voila. Show less



East Molesey Cricket Club

• United Kingdom
• Sports Teams and Clubs
• 1 - 100 Employee

• Performance Analyst

  • Apr 2022 - Sep 2022

  - Responsible for tagging every delivery with a set of parameters like line, length, shot type etc. and using this data to generate performance insights for the players with Microsoft Excel. - Responsible for curating video content using Davinci Resolve for the club’s social media platforms. Doubled the number of subscribers and video views, and had 6,20,000 total impressions on the club’s YouTube channel. - Responsible for tagging every delivery with a set of parameters like line, length, shot type etc. and using this data to generate performance insights for the players with Microsoft Excel. - Responsible for curating video content using Davinci Resolve for the club’s social media platforms. Doubled the number of subscribers and video views, and had 6,20,000 total impressions on the club’s YouTube channel.



Xformics Inc

• United States
• Software Development
• 1 - 100 Employee

• Data Scientist

  • Aug 2019 - Aug 2021

  - Gained hands-on experience in implementing an end-to-end data science project lifecycle for predicting equipment failure and estimating remaining useful life of a machine. It involved stages like data pre-processing, feature engineering, data visualization, model selection, parameter tuning and dashboard creation. Extensively used Python and libraries like pandas, seaborn, streamlit along with ML algorithms like gradient boosting and decision trees during the workflow. - Built a state-of-the-art knowledge discovery engine that can extract insights from structured and unstructured data in the manufacturing sector, using modern data visualisation tools like network graphs to interpret the insights. - Built an AI chatbot based on Natural Language Processing techniques to automate replies to customer queries in the retail sector. Used RASA as a framework and Bidirectional Encoder Representations from Transformers for training the model. Show less



Broken Cricket

• Bengaluru, Karnataka, India

• Editor In Chief, Team Lead

  • Mar 2019 - Jul 2019

  Managed the English Content Team for Broken Cricket. Covered the 2019 editions of the IPL and the Cricket World Cup, and was also responsible for writing, editing and publishing articles. Managed the English Content Team for Broken Cricket. Covered the 2019 editions of the IPL and the Cricket World Cup, and was also responsible for writing, editing and publishing articles.



University of Florida

• United States
• Higher Education
• 700 & Above Employee

• Research Intern

  • Jul 2018 - Aug 2018

  Used Machine Learning and Pattern Recognition methods like Tabular Nearest Neighbor Encoding for recognition and classification of space debris, by simulating satellite imagery. Eventually developed a similarity index based classification system. Used Machine Learning and Pattern Recognition methods like Tabular Nearest Neighbor Encoding for recognition and classification of space debris, by simulating satellite imagery. Eventually developed a similarity index based classification system.



GE

• United States
• Industrial Machinery Manufacturing
• 700 & Above Employee

• Software Intern

  • Jun 2017 - Aug 2017

  Analyzed methods of data transfer between server and cloud, and developed a crude transfer mechanism for GE Healthcare to aid transfer of patients’ health records between a server and a cloud. Explored methods like data compression and data splitting, series and parallel transfer, to send the information across to the destination. Analyzed methods of data transfer between server and cloud, and developed a crude transfer mechanism for GE Healthcare to aid transfer of patients’ health records between a server and a cloud. Explored methods like data compression and data splitting, series and parallel transfer, to send the information across to the destination.