Vinit Vaidya
MSc Computer Science graduate with 2 years of professional experience in data analytics, machine learning and building automation workflows
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About
MSc Computer Science graduate with 2 years of professional experience in data analytics, machine learning and building automation workflows, complemented by extensive hands-on experience building AI/ML, Generative AI, and data engineering projects. Proficient in Python, SQL, TensorFlow, PyTorch, AWS, Azure, and modern LLM frameworks. Developed enterprise dashboards supporting 160+ stakeholders, production-ready RAG applications, cloud-native MLOps pipelines.
Passionate about building scalable AI systems that solve real-world business problems.
Experience
Data Analyst at Capgemini (2021-08 – 2023-07)
- Developed K-Means clustering (silhouette score 0.70) and Random Forest classifier (80% F1-score) for enterprise ticket management, improving routing efficiency and reducing resolution time through quantitative analysis.
- Developed 5 Tableau dashboards and optimized 3 existing ones, supporting 160+ stakeholders with data-driven insights that increased engagement by 25%.
- Built automated solutions using UiPath with C# and VB.NET to streamline data extraction, preprocessing, and reporting pipelines, improving efficiency and saving 150 hours annually.
- Developed 5 proof-of-concept for existing applications for integrating GenAI with OpenAI models, fine-tuned hyperparameters to generate solutions for core business challenges.
AI/ML Projects & Continuous Learning at Independent (2024-12 – Present)
- Built production-ready AI applications using Retrieval-Augmented Generation (RAG), LangChain, Amazon Bedrock, FAISS, and Docker.
- Developed cloud-native MLOps pipelines with CI/CD using TensorFlow, Docker, GitHub Actions, AWS, Azure, and DVC.
- Built enterprise-scale data engineering solutions using Azure Databricks, PySpark, Delta Lake, and Medallion Architecture.
- Currently preparing for the AWS Certified Machine Learning – Associate certification while expanding expertise in AI Agents and Generative AI.
Education
MSc in Computer Science – University of Galway (2023-09 – 2024-11)
B.E in Computer Engineering – Mumbai University (2017-08 – 2021-06)
