About

As a Master of Science candidate in Data Science at The George Washington University, I am passionate about applying machine learning and data engineering techniques to solve complex business problems. With a Bachelor of Engineering in Computer Science & Engineering from R.G.P.V. and relevant certifications in Python and Machine Learning, I have professional working experience in programming languages like Python, R, and SQL, as well as tools and frameworks such as PyTorch, TensorFlow, and Tableau.

My project experience includes projects like developing forecasting models for wind turbine power generation and predicting timely delivery of electronic products using machine learning algorithms like SARIMAX and Random Forest and performing binary classification using an array of algorithms for categorizing an airbnb's rating as above and below average. In addition to this, I have also made projects using convolutional neural network that allows you to determine accents for english based on the audio input. This project can serve as a great utility for native english speakers to be able to communicate well when travelling to countries where english is not a first language. I am also working on a project idea is gonna solve a problem in copyrighting industry where you can encode audio into images such that it can be extracted with high accuracy at the other end so that when someone tries to pirate a software it can be traced using the encoded audio files in the software's user interface. I am also working on a Language model based application to help end users help them optimize their google search by suggesting necessary keywords to get better more relevant search results based on the initial text promopt given by the user..

In my previous roles, I have worked both as a Data Scientist and a Data Engineer. As a data scientist, I worked at The George Washington University- School of Business to take student interview transcripts to generate keyword insights from them to aid to the revenue generation for the business school. As a data engineer I have worked at Larsen and Toubro Infotech where I was promoted from a trainee to a senior data engineering role and took charge of development involving enhancement of the query execution time by 75%, developing business process flows using SQL, server tools, and frameworks. I also led solution design for the new functionalities in the application and developed automations using SQL scripting. With my go-getter mindset, I am always up for leveraging my technical skills and experience to contribute to business success and drive innovation through data-driven solutions.