Data Scientist | Vehicle Engineering Solutions | Data & Cloud Design | End-to-End Data Solutions I am a Data Scientist with 2.5+ years of experience in Predictive Modeling, Statistical Analysis, and Natural Language Processing. My expertise spans building data-driven solutions across Vehicle Engineering, Telematics, Anomaly Detection, Fault Detection, Connected Diagnostics, Component Health, Outbound Logistics, and Factory Automation. I have a proven track record of delivering scalable solutions that enhance product quality, customer success, and support data-driven decision-making processes. In my cross-functional roles, I have collaborated with engineering, business, and marketing leaders to understand their needs and deliver impactful products. My approach is rooted in a Business & Customer First philosophy, ensuring that every solution I create not only meets technical requirements but also drives value for stakeholders. Key Achievements - Mahindra Research Valley: Optimized storage, automated reports, enhanced test bed operations, and conducted wear analysis. - Treo, Zor, Zor Grand (Mahindra Last Mile Mobility): Developed solutions for Vehicle & Component Health, Prognostics & Diagnostics, and intelligent reporting, aiding decision-making for leaders, business heads, engineering, design, and customer care teams. Core Competencies Technologies: Machine Learning, Ensemble Learning, Deep Learning, Predictive Analysis, Natural Language Processing, Anomaly Detection, Predictive Maintenance, DevOps, Cloud Solutions, Knowledge Graph, Generative AI Tools: AWS (ECS, ECR, RDS, Lambda, S3, EC2, EventBridge), Postgres, Docker, Jenkins. Programming Languages: Python, SQL. Libraries & Frameworks: Scikit-Learn, Pandas, NumPy, TensorFlow, Keras, PyTorch, PySpark, Matplotlib, Seaborn, Tableau, Flask, Streamlit. Email: shreyanshchopra7@gmail.com