Hola! I'm Rajath! Thank you so much for stopping by! I have a Master's degree in Information Management with a focus on Data Science from the University of Illinois at Urbana-Champaign. I've had the opportunity to work with some amazing companies like Goldman Sachs, Nvidia, and Visa, where I developed various projects and solutions using my technical skills in Python, ReactJS, Java, SQL, Shell, C++, R, and more. Some of my notable projects include predicting the medal tally of a country during the Olympics, predicting solar radiation, and building a chatbot to help people in distress find nearest available services. I'm always excited to take on new challenges and solve complex problems using my expertise in data science, machine learning, and software engineering. If you'd like to learn more about my projects or connect with me, feel free to explore my website or drop me a message!
Please find my Resume - Resume
Equities ST2 : -Developed a real-time profitability tool utilizing Python and C++ (Securities Language) to calculate profit/loss and commissions for trades across a variety of financial products, including shares, electronic trading, synthetics, and derivatives. DataLake Infrastructure : -Increased accuracy of commissions by 7% by developing an infrastructure to fetch trading data from different countries across the globe and developed heuristic algorithms to divide commissions to different trades across products using Kafka, AWS, Python, and ElasticSearch. Historical Viewer : - Developed a web UI using ReactJS to provide a view of historical trade data and generated customized reports for compliance teams to review and audit existing data.
Visa Artificial Intelligence Platform : - - Developed scripts in Python and Shell to perform overall system health-check, check connectivity, certificates and worked on CI/CD pipeline with Jenkins. - Increased productivity by 50% by deploying Python scripts to oversee the purging of log files containing 3+ Million transactions in HDFS to train models. Payments Systems Risk : - - Boosted efficiency by 25% by developing a smoke test framework in Python and integrated with Cloudview to automate server remediations. Splunk : - - Queried machine-generated Big Data to extract key metrics, devised alert mechanisms and visualized trans-action data to derive key insights to drive business efficiency. Achievements : - - Received 19 ”Go Beyond” - Corporate recognition for achieving crucial milestones. - Promoted from Associate System Analyst to Systems Analyst on Dec 2018.
Verified By Visa : - - Developed complex SQL queries to analyze 20+ million transactions to identify sales patterns, anomalies and used Python to generate reports to monitor performance in realtime. Tokenization (Apple Pay, Android Pay etc.) : - - Reduced 75% of the overall time involved in the remediation of the servers by deploying python scripts to start and stop instances on Mobile Wallet Gateway servers. Hackathon - Merchant Locator Chatbot (2nd prize ) : - - Finished 2nd among 125 Teams by building a chatbot to call Visa’s Merchant Locator API & retrieve merchant data to help people in distress find nearest available merchants.
Visualized Olympics dataset and explored how home-advantage, physiological, historical, demographical features, affect the performance of a country in the Olympics and predicted the medal tally of a country using HDI, Population, GDP, GDP per-capita using Random Forests with an accuracy of 96%.
Computed the stability of huge marble blocks when projected upon a particular shape using ConvexHull based on center of gravity and density. Demonstrated Test-Driven Development in Python and continuous integration with the help of Travis CI.
This project aims to predict solar radiation at a given location using ERA5 data from CDS.
This repository explores the American Community Survey (ACS - PUMS) Data from 2014 to 2018, released by the US Government .
• Languages: Python, Java, SQL, Shell, C++, R, HTML, CSS, Javascript.
• Technologies: Docker, Soap UI, Jenkins, Jira, Splunk, Git, REST API.
• Familiar: TensorFlow, Hadoop, Spark, Kafka, Hive, MongoDb, Redis, Node.js, Angular, MySQL, AWS, GCP, Azure.
• Relevant Coursework: Advanced Data Structures, Software Engineering, Design and Analysis of Algorithms, Deep Learning, Health Informatics, Programming Analytics, Machine Learning, Methods of Data Science, Usability Engineering.
I enjoy programming and also have a niche interest towards Machine Learning, Deep Learning and Data Science in general. I aspire to build software, data pipelines, develop models for the betterment of our society. Let’s code and make our world a better place to live!
I enjoy interacting with people, brainstorming with teammates and hanging out with “Pun”dits !
I prefer spaces over tabs, Python over JavaScript , nuts over crosses, Pizza over doughnuts, dogs over cats and coffee over Tea!
Hit me up at rajathjohnbosco@gmail.com , we can have a coffee chat to discuss technology, life and even different brews of coffee!