Machine Learning Data Science

Bhargav Reddy Modugulla

Charlotte, NC 704-***-**** *********************@*****.*** LinkedIn Github EDUCATION

University of North Carolina, Charlotte

Masters of Science in Computer Science, GPA: 4.0 Fall 2025 SKILLS

Languages: Python, R, Java, JavaScript, C, SQL

Technologies: Machine Learning, Scikit-learn, OpenCV, NLTK, NodeJS, HTML, CSS, Reactjs, Excel, Firebase, SQL, Mongodb, AWS, Apache Spark, GIT

Tools: Data Visualization Software (Tableau, PowerBI) WORK EXPERIENCE

Sagar Cements Limited, Data Science Intern July 2023 – June 2024

● Developed data-driven solutions that reduced production costs by 0.8%, improving operational efficiency using Python, R, and SQL.

● Collaborated with teams to implement predictive models for demand forecasting and inventory management, enhancing productivity and providing insights into data-rich operations, aligning with audit data pipelines and reporting structures.

Signalx.ai, Research Intern January 2023 - March 2023

● Build innovative techniques for managing experimental datasets, reducing turnaround time from 10 to 3 days.

● Proposed and documented methodologies while using Tableau to create data visualizations, directly supporting audit procedures and reporting, and working collaboratively with virtual teams to identify risks. Freelancing, Full Stack Developer April 2020 – December 2021

● Designed 5+ websites and applications, integrating full-stack development technologies to enhance user experience and optimize information systems for client needs.

● Successfully led 3 projects independently, demonstrating accountability, attention to detail, and collaboration with diverse, virtual teams—skills essential for internal audit and special project handling. PROJECTS

Sentiment Analyzer

● Designed a sentiment analysis tool that processes user input to determine whether a sentence is positive or negative, using natural language processing techniques in Python.

● Implemented sentiment classification models and integrated them with user input handling, improving the accuracy and responsiveness of text-based sentiment analysis. Recipe Advisor

● Created a recipe recommendation system using collaborative and content-based filtering, personalizing suggestions based on user preferences and dietary needs.

● Integrated user feedback to continually refine and improve recommendations, aligning with data-driven decision- making and audit testing efficiency.

Early Fire Detection System

● Built an image-based fire detection system using OpenCV to capture and analyze images for early signs of fire, improving safety monitoring.

● Trained the system to detect visual fire cues like smoke and flames, providing insights for early detection, relevant to fraud investigations and audit testing.

React ChatApp

● Deployed a real-time chat application allowing users to join any chatroom and engage in conversations, showcasing the ability to build scalable systems.

● Introduced live messaging, user authentication, and multiple chatrooms, demonstrating effective management of technology and tools in virtual environments.