Over the course of my masters, I’ve gained a lot of experience with modern functional and object oriented programming languages, such as Python, Scala, R, and Go-Lang. I have also become familiar with building streaming applications using Apache Spark and Apache Flink in Scala. My work with Scala also required learning AWS, deploying cloud applications, and tuning cloud resources for optimal performance gains and as a result I am well versed in big data analytics using AWS.
Additionally, I have extensively utilized Python to create machine learning pipelines to analyze data-sets. Some prominent applications include dimensionality reduction, fraud detection, and anomaly detection. My masters thesis is in the field of Geomatics, which is concerned with the measurement, analysis, and display of geographic and other spatial data. Specifically, my thesis involves using machine learning and front-end visualizations in JavaScript to analyze the growth and change in urban areas, focusing on port cities such as Rotterdam, Hamburg, and London. I am on track to graduate by November 2022.
Here’s an overview of my education:
| Timeline | Level | University/School | Details |
|---|---|---|---|
| September 2019 to November 2022 | Masters in Computer Science - Data Science Track | Delft University of Technology, Netherlands | - Master thesis: Modify an existing machine learning algorithm that analyses cloud cover to research changes in forest cover. - Current GPA: 7.0 |
| May 2010 to May 2014 | Bachelor of Technology - Electronics and Instrumentation Engineering | B.S. Abdur Rahman University, Chennai, India | Graduated First Class - Final Grade: 77.42% (average of eight semesters) |
