Shreeyash Pardeshi

About Shreeyash Pardeshi

Driving innovation in Data Science with 3.3 years of experience in Machine Learning, Deep Learning, NLP and Generative AI. At Tata Consultancy Services, I\'ve consistently delivered high-impact solutions that transform complex data into actionable business insights. Key Achievements: Led multiple successful Generative AI and Machine Learning projects from inception to deployment Developed end-to-end applications for financial analytics and customer complaint analysis, improving decision-making processes Implemented cloud-based ML solutions across Azure, GCP, and AWS, optimizing performance and scalability Certifications: Microsoft Certified: Azure Data Scientist Associate Google Cloud Certified Professional Machine Learning Engineer Specialties: Generative AI & Large Language Models (LLMs) Predictive Modeling & Forecasting LLMOps, MLOps & CI/CD for ML pipelines Full-stack Data Science Seeking opportunities to leverage my technical expertise and problem-solving skills to drive data-driven innovation and deliver tangible business value. Open to discussing how my skills can contribute to your organization\'s data science and AI initiatives.

Experience

1. Data Scientist

   Tata Consultancy Services

   Dec 2021 — Present · Pune, IN

   Led the development of advanced Machine Learning and Generative AI projects, with a strong focus on ML, Deep Learning, MLOps and cutting-edge AI techniques.• Created and optimized Generative AI solutions, incorporating tasks such as model fine-tuning, pre-training, API integration, large language model applications, and Retrieval-Augmented Generation (RAG).• Designed and implemented end-to-end solutions in Machine Learning, including Natural Language Processing (NLP), predictive forecasting, and Generative AI applications.• Experienced in deploying and managing applications on major cloud platforms including Azure, Google Cloud Platform (GCP), and Amazon Web Services (AWS).• Ensured project success through clear and effective communication with team members and stakeholders, promoting collaboration and timely delivery of results.Key Projects:FinWise Analytics: Smart Predictions for Customer Complaints• Developed a predictive model for forecasting customer disputes in financial product complaints.• Utilized Python, GCP Compute Engine, S3 Bucket, Prometheus, Grafana, Airflow, and CircleCI.Financial Q&A System: Accurate Customer Document Analysis• Implemented RAG-based LLM application for financial information retrieval from customer documents.• Used LangChain, Azure OpenAI model, AstraDB, and deployed on AWS.

Education

• Sant sai English Medium High school

  SSC

• Ineuron.ai

  Full Stack Data Science

  2021 — 2023

• DR.D.Y.Patil School Of Engineering And Technology

  Bachelor of Engineering - BE

  2018 — 2021

• Mit Polytechnic

  Diploma in Mechanical Engineering

  2015 — 2018