I am a passionate Data Science Explorer, constantly on the search for new insights and knowledge. My interest in this field is backed by several relevant projects and a research background, which has given me a good background on the developments in data science.
CVM.S. in Artificial Intelligence and Innovation
CGPA: 3.93/4.00
B.Tech in Computer Science Engineering
CGPA: 9.21/10.00
Data Scientist (Capstone)
Designed and developed a visualization platform using Neo4j, Cypher, and NeoDash, streamlining data summarization, analysis, and visualization of earnings calls.
Leveraged Prompt Engineering and RAG techniques on Large Language Models to create a Topic Modeling tool and a QA chatbot, enabling efficient and insightful data retrieval from a Financial Knowledge Graph.
Teaching Assistant
Crafted assignments, organized Kaggle competitions, and structured course content for 400+ students under Prof. Bhiksha Raj. Presented recitations, managed office hours, supported term projects, graded assignments, and quizzes, covering topics like MLP, CNN, RNN, Transformers, and Attention using PyTorch.
Software Engineering Intern
Built a knowledge graph for supply chain network data, for understanding interdependencies between multiple components, SKUs, manufacturers, etc. Implemented Graph Neural Networks to create an AI-based solution for scenario analysis within supply chain, enabling predictive insights into node-based risk for fluctuations in supply chain data, thus enhancing supply chain resilience.
Web Development Intern
Identified potential customers, conducted competitive analysis, analyzed product-market fit, and mapped stakeholders. Facilitated over 15 interviews with multiple stakeholders and delivered weekly product updates to the client.
Data Science Intern
Analyzed potential fraudulent claims and processed comments to classify issues for warranty analytics.
Developed a resume ranker system by curating and refining information from various files, streamlining the hiring process.
Web Development Intern
Worked on building the company website using HTML, CSS, JS.
Compared 9 Machine Learning Algorithms for predicting if the given website is a phishing website or not based on the given details of the website. Presented this paper at a conference(ICSMDI).
A framework that assists people afflicted with a particular disease and also displays relevant doctor details based on the given location. A chatbot is assists the users with health-related queries. Book chapter accepted for a book by Bentham Science.
Organized various technical and non-technical events and was a Coordinator for a national level fest and a hackathon. Publicity and Marketing Head for the year 2020.
Volunteered and Organized various events such as Diabetes Camp, Education sessions, Women's Gully Cricket.
Chapter Manager for Editorial, Publicity and Marketing, Events and Public Relations. Led a team along with other managers and board members and organized various events.
Publicity and Marketing Committee volunteer. Worked to publicize the event and bring in participants from across the country.
Worked as a campus representative(Hustler) and helped publicize and maximize student participation for Skillenza events.
pavitrakadiyala@gmail.com