Parth Chaturvedi
Lead Engineer @Sanofi
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WORK HISTORY
Lead Engineer @Sanofi
Hyderabad, IN
At Sanofi, I contribute to the development of SIMPLY, an advanced ML-driven platform designed to optimize manufacturing processes, enhance data analytics, and provide actionable insights for production efficiency.Key Contributions: Developed ML models for process optimization, including Regression, LASSO, Random Forest, and XGBoost, to predict and improve yield efficiency. Implemented the Yield Insights module, leveraging machine learning to analyze historical production data and identify key process parameters affecting batch yield. Designed and optimized Batch Similarities Finder, using clustering algorithms (K-Means, DBSCAN) and time-series forecasting to compare and evaluate batch performance. Built the Raw Material Characterization module, utilizing Principal Component Analysis (PCA) and Neural Networks to analyze raw material variability and its impact on production metrics. Integrated AWS AI/ML services (SageMaker, Glue, Lambda, OpenSearch) to deploy scalable models for real-time insights and automated decision-making. Improved data pipelines, ensuring efficient processing of manufacturing data from Kafka, Spark, and Hive, enabling real-time analysis and reporting.Tech Stack: ML & Data Science: Regression, LASSO, Random Forest, XGBoost, PCA, Neural Networks, Time-Series Forecasting, Clustering (K-Means, DBSCAN) Backend & Cloud: Python, Java, NestJS, Node.js, AWS (Lambda, Glue, OpenSearch, ECS, SQS, Fargate, DynamoDB) Data Engineering: Snowflake, Kafka, Spark, Hive, Pandas, TensorFlow, PyTorch Frontend & DevOps: React.js, Webpack, SCSS, Docker, Jest, SinonAt Sanofi, my focus is on bridging machine learning with real-world manufacturing challenges, ensuring data-driven decision-making and enhanced production efficiency.
EDUCATION
Rajasthan Technical University
Bachelors of Technology, Electrical Engineering
Arya College of Engineering and IT
Bachelor of Technology - BTech, Electrical Engineering
ABOUT PARTH CHATURVEDI
Passionate about building scalable, high-performance applications with expertise in serverless backend development, AWS infrastructure, data science, and machine learning models. With 7+ years of experience, I have contributed to FinTech, EdTech, and Healthcare domains, developing solutions that impact millions of users.Currently at Sanofi, I work on SIMPLY, an ML-driven platform, enhancing data analytics, machine learning capabilities, and cloud-native solutions. I have experience developing and optimizing ML models for predictive analytics, process optimization, and anomaly detection. My previous roles at PowerSchool, Yes Bank, and ICICI Housing Finance involved designing and optimizing microservices, data pipelines, and AI-driven applications. Tech Stack.Net, C#, Python, Node.js, TypeScript, Java, AWS (Lambda, DynamoDB, OpenSearch, ECS, SQS), React.js, Docker, Kafka, Spark, TensorFlow, PyTorch, Scikit-learn, Pandas. Recognitions: 3x MVP Award Winner (PowerSchool, Yes Bank) for outstanding contributions. Certifications: AWS Certified Developer (Associate), Advanced Prompt Engineering, Machine Learning & Data Science (Coursera).Let’s connect! Always eager to discuss serverless computing, cloud architecture, data science, ML models, and AI-driven innovations.
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