Prahar.
Passionate data scientist turning raw data into actionable insights.
As a budding data scientist, I explore and analyze data to uncover insights that inform smarter decisions and innovative solutions.
Hi, my name is
About Me
I am a graduate student pursuing a Master’s in Data Science from the University of Maryland, College Park. I have a strong interest in Entrepreneurship employing technology to solve the major problems of the world. I am currently working part-time as an AI/ML student software engineer at Department of Information Technology (DIT) at the University of Maryland, College Park. Additionally, I’m assisting CloudLeap Technologies, LLC with the creation of detailed summaries of FDA workshops as a part-time Data Science Intern/Co-op.
Beyond data science, I find fulfillment in exploring spiritual teachings, navigating scenic hiking trails for adventure, cheering on cricket matches with enthusiasm, and actively seeking opportunities to contribute and support others in meaningful ways.
Here are a few technologies I've been working with recently:- Generative AI
- RAG
- Deep Learning
- Fine-tuning LLM
- Tensorflow
- Langchain
Experience
The Division of Information Technology at the University of Maryland, College Park, is responsible for supporting and advancing the university’s technology infrastructure. It plays a critical role in enhancing academic, research, and administrative functions through innovative IT solutions.
- Collaborated with the Enterprise Software Engineering Team to build and manage AI chatbots for university-wide use.
- Evaluated academic planner chatbot performance using the RAGAS framework to ensure high-quality responses.
- Developed suggested questions for student academic chatbots to enhance user experience and support.
- Involved in fine-tuning an LLM for improved communication consistency in official University emails.
CloudLeap Technologies, LLC is a software development and consulting firm that specializes in providing innovative solutions in Big Data, AI, Machine Learning, and NLP. The company helps clients securely manage and analyze data using advanced cloud-based tools and open-source technologies.
- Leading AI Development for FDA Workshop Automation: Currently designing and developing a proof of concept (PoC) project to automate and summarize FDA workshops using advanced AI, ML, NLP, and LLM techniques. This project aims to streamline information processing and reduce the manual effort of generating summaries of FDA Workshops.
- Upcoming Projects: Contributing to initiatives under The Opportunity Project (TOP) sponsored by the US Census Bureau and engaging in SBIR projects focused on AI/ML, and Robotic Process Automation (RPA).
- Collaborative Environment: Working closely with team members to deliver high-impact solutions and assisting with proposal support.
Project Kaatru is intended to provide real time Air Quality information using a network of distributed IoT devices, remotely sensed spatiotemporal data and theoretical models.
- Spearheaded comprehensive IoT device development for air pollution monitoring, integrating 2 additional features, and reducing development time by 2 months through establishing robust systems, and streamlined processes.
- Actively collaborated with the software development team to enable seamless integration of IoT data into backend cloud services.
- Recognized for outstanding contributions and was chosen to represent the team and the IoT device at the Eco Expo startup exhibition in Chennai.
Pegasus is an innovative home automation product that strives to revolutionize the way humans interact with their homes and care about their loved ones.
- Led the firmware team in C and C++ programming for embedded systems, ensuring efficient and reliable device performance consequently gaining problem-solving skills.
- Learned Cloud Infrastructure Management and deployment of new features on AWS services like AWS Lambda, AWS IoT Core, Dynamo DB, and API Gateway.
- Secured cumulative funding of 1M INR (Indian Currency) through successful investor pitches, and grant applications ensuring sustainable growth and development.
Education
2023 - 2025 (Expected)
Master of Science in Data Science
University of Maryland, College Park
GPA:
4.0 out of 4.0
Coursework
- Probability and Statistics, Algorithms for Data Science, Data Representation and Modelling, Big Data Systems, Communication for Data Science and Analytics, Natural Language Processing, Cloud Computing, Principles of Data Science, Principles of Machine Learning.
Skills
- Machine Learning, Deep Learning, Python, R, Data Visualization, SQL, Exploratory Data Analysis, Natural Language Processing.
Extracurricular activities
- Participated in Datathon 2024 (Hackathon organized by Deloitte)
- Participated in Info Challenge 2024 (Hackathon organized by UMD College of Information Studies)
2016 - 2020
B.Tech in Information and Communication Technology
Dhirubhai Ambani Institute of Information and Communication Technology
GPA:
7.25 out of 10.0
Coursework
- Software Engineering, Operating Systems, Database Management System, Internet of Things, Computer Networks, Design and Analysis of Algorithms, Data structures, Information Theory, Groups and Linear Algebra, Calculus.
Skills
- Computer Science, C, Python, Real-Time Operating Systems (RTOS), SQL.
Extracurricular activities
- Secured first place in Ingenious (Hackathon organized by Ahmedabad University)
- Secured top-10 place in Hack-Infinity (Hackathon organized by DAIICT)
- As a Convener (President) of Electronics Hobby Center, we conducted tech sessions and workshops to make freshers learn buzzing technology in the Electronics domain.
- Taught elementary subjects like Mathematics and English to primary school students in a village as a part ofs Rural Internship.
Projects
Docker
Pyflink
Kafka
Elasticsearch
Kibana
Distributed Data Processing using Apache Flink
This project constructs a complex distributed data processing ecosystem using Apache Flink in a Dockerized Python environment.
Get in Touch
My inbox is always open. Whether you have a question or just want to say hi, I’ll try my best to get back to you!