October 2021 - December 2021
In the world of football, wining is important and football clubs leave no stone unturned to win a league. They spend a large amount of money every season to buy professional players. The topflight club spends hundreds of millions during the transfer window. Scouting and accessing player’s market value is the most grueling part of the process before a bid is prepared. I have developd a model which will predict the player’s transfer market value based on their past performances. This model helps in predicting the market values of players in games like FIFA and PES or even in European football competition like English premier league. The model would also provide correlations among different features, which means the work will highlight the features which contributes more towards the market value of a player
August 2021 - September 2021
As a student, I find myself often misremembering (and sometimes forgetting 😅) assignment deadlines, especially when I'm overloaded with work or in job application mode. To solve this problem for me and my fellow students, I'm developing an intelligent deadline notifier. All to-do tasks, homework, assignments etc. are fetched from the user's calendar via the Google Calendar API, and the user is alerted periodically when deadlines approach closer. The app makes use of previous data to decide via a simple decision tree mechansim if, when and how to prompt the notification
Designed a dashboard to display people’s overall sentiments towards the COVID-19 vaccination effort through data collected via the Twitter API. Performed sentiment analysis on most retweeted and liked tweets, aggregated long-term trends and reactions of users in the United States. Displayed this data in the form of interactive graphs and charts.
March 2020 - December 2020
Developed a centralized ledger service RESTful APIs to collect transactions from 150+ banks in real time, process them, and initiate remittances as required across different corridors. Streamlined microservices to parse SWIFT statements like MT940 and MT942. Leveraged AWS S3, Lambda and CloudWatch to design a PCI-DSS compliant service equipped to handle sensitive data.
November 2019 - March 2020
Led the development of an auto-recon tool that helped save 95% time over manual reconciliation. Made effective use of agile software development principles while leading a team of 8 developers to deliver modules and delivered modules and services that integrated seamlessly with existing systems.
April 2018 - September 2018
Single-handedly engineered and deployed a webpart using SPFx to run across all Office365 instances of Chevron’s Australia offices, saving time required for document search and improving efficiency by 10%. Integrated Google Analytics to understand usage patterns and debug issues in real time.
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