Improved data accuracy and efficiency by 20% through Python scripts for data ingestion and transformation.
Created Shell scripts to automate tasks, reducing manual workload by 30% and increasing productivity.
Implemented and managed over 10 dynamic dashboards using OpenText's internal versions of Tableau/Power BI, enabling real-time analysis and decision-making for 50+ stakeholders.
Identified and resolved 95% of data pipeline issues using monitoring tools, significantly enhancing system reliability.
Increased customer access by 25% through collaboration with cross-functional teams to create custom data solutions.
Intern
Micro Focus
Bangalore, INDIA
05.2021 - 12.2021
Engaged in projects using Docker and AWS, enhancing skills in cloud computing and containerization.
Assisted in deploying and managing 5+ cloud applications, gaining practical cloud infrastructure experience.
Supported system integration between application components.
Provided technical support for over 50 software product inquiries, achieving a 95% customer satisfaction rate.
Participated in code reviews to ensure adherence to coding standards.
Maintained updated documentation for assigned projects.
Data Engineer Intern
Smart Bridge
Visakhapatnam, INDIA
05.2020 - 07.2020
Led the development of a Malaria prediction web app, integrating machine learning algorithms within a Flask-powered backend, showcasing strong problem-solving skills.
Applied Numpy, Pandas, Matplotlib and Seaborn libraries to enhance data wrangling and visualization processes.
Tuned deep learning networks, including CNNs and RNNs, increasing prediction accuracy by 25% and demonstrating strong problem-solving skills.
Education
Masters in Data Science -
Luddy School of Informatics, Computing And Engineering, Indiana University
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05.2025
Projects
Movie Tickets Booking System - 01/2024 :
Designed a comprehensive system for movie ticket bookings leveraging React for the frontend, Django for the backend, and PostgreSQL for database management.
Aimed to streamline the ticket booking process, enhancing user experience and simplifying transactions.
Focused on the practical application of web technologies and software engineering principles.
Served as a course project, demonstrating the ability to apply theoretical knowledge to real-world problems.
Movie Recommendation System - 10/2023 :
Explored and applied various algorithms for a movie recommendation system, including collaborative filtering, KNN, and the Apriori algorithm for association rule learning.
Investigated the intricacies of movie recommendation challenges and developed a solution using content-based and collaborative filtering techniques.
Employed the K-Nearest Neighbours (KNN) Algorithm to suggest movies based on genre attributes and similarity measures.
Leveraged the Apriori Algorithm to mine user interaction patterns and derive association rules for movie recommendations.
Certification
Image Classification with CNNs using Keras, Coursera, 07/2020
Web Design for Everybody: Basics of Web Development & Coding Specialization, Coursera, 07/2020