Shraddha Sonawane

I am a highly motivated professional with good communication and interpersonal skills. My previous work experience coupled with recent up skilling in data science, positions me to make a valuable contribution to any data science team. During my seven year tenure as GLP quality assurance auditor, I honed my analytical and problem-solving skills by overseeing and ensuring data compliance with regulatory standards and guidelines. Thus, I bring a diverse range of skills, experience and knowledge.

• Conducted real-time intern demographic analysis.
• Recovered data, identified misconduct, and derived data-driven insights for pizza store operations (improved delivery and revenue).
• Performed exploratory data analysis (EDA) and hypothesis testing on the AMCAT dataset to investigate salary claims.
• Refactored and fixed bugs in a note taking application.
• Developed and deployed a Regex matching web application with Flask on AWS.
• AI Code Reviewer App, Developed the GenAI app (Python) that provides comprehensive feedback on user-submitted Python code using Streamlit for UI and OpenAI API for automated analysis.
• AI Conversational Data Science Tutor App, Conceptualized and developed a conversational AI tutor leveraging Gemini 1.5 Pro to answer user data science queries.
• RAG System for Enhanced Information Retrieval, Developed a Retrieval-Augmented Generation (RAG) system using LangChain to integrate large language models (LLMs) with external data sources, improving information retrieval.
• Enhancing Search Engine Relevance for Video Subtitles, Led the development of a semantic search engine algorithm for video subtitles, improving accessibility through NLP and machine learning techniques. This included - Preprocessing, vectorization, and cosine similarity calculation for efficient retrieval. Document chunking and embedding storage in ChromaDB for optimized performance and scalability.
• Sentiment Analysis on Product Reviews, Built a sentiment analysis solution for Flipkart product reviews using an 8,518-review dataset for the "YONEX MAVIS 350 Nylon Shuttle" product. This involved data preprocessing (text cleaning, normalization, feature extraction), training machine learning and deep learning models for sentiment classification, model registration and management with MLflow, automating tasks with Prefect Workflow, and Flask web app deployment on AWS EC2 for real-time inference.

• Advanced Machine Learning and Generative AI Internship, Innomatics Research Lab, 05/2024
• Machine Learning & AI, PrepInsta Technologies, 04/2024
• Data Analytics Internship, PrepInsta Technologies, 04/2024
• Advanced Data Analysis Internship, Innomatics Research Lab, 03/2024
• Certificate of Participation, 6 Hour Hackathon organized by Innomatics Research Lab
• Data Analytics, PrepInsta Technologies, 01/2024
• Data Science, PrepInsta Technologies, 01/2024
• Python, Prepinsta Technologies, 01/2024
• Introduction to Python, Programming by Udemy, 10/2023

• Implemented GLP compliance: Designed and implemented data quality assurance programs, ensuring data integrity and adherence to GLP principles. This involved data review, analysis, and identifying discrepancies.
• Ensured data integrity: Performed data validation by reviewing study documents and raw data for accuracy and completeness.
• Improved laboratory processes: Collaborated with lab personnel to analyze data and identify areas for improvement, leading to better data quality and efficiency.
• Managed quality system: Experience with audits for vendor/instrument qualification and reviewing validation deliverables demonstrates understanding of data quality standards and adherence to protocols.
• Maintained regulatory compliance: Stayed updated on regulatory requirements, which translates to strong analytical skills and the ability to adapt to changing data standards.

• English - Fluent
• Hindi - Fluent
• Marathi - Fluent