Headline

Data Scientist @ Syngenta Group | AI Developer | Machine Learning | Data Governance

About

AI Engineer | GenAI Applications | Data Products | Enterprise Systems AI Engineer specializing in building end-to-end production AI systems across NLP, forecasting, and intelligent dashboards. Experience includes: Deploying LLM-powered applications using AWS, SageMaker, Bedrock, and LangChain Building RAG systems and NLP-to-SQL data interfaces Designing ML forecasting pipelines for operational optimization Developing decision-support dashboards with Power BI I focus on delivering AI systems that are reliable, scalable, and aligned with real business decisions, not just experiments. 🔗 GitHub: https://github.com/amitstudy70 📩 Always open to collaboration and high-impact roles

Location

Pune Division

AI stack

anthropic apis

antigravity

claude code

claude

codex

cursor

gemini

kimi

langchain

langgraph

langsmith

mcp

n8n

ollama

opencode

Work experience

Data Scientist at Syngenta Group, Jul 2025 - Present · 1 yr 1 mo, Pune, Maharashtra, India · Hybrid, Supply Chain Data Scientist Architecting AI-enabled COGS intelligence systems that transform enterprise financial and operational data into decision-grade insights. Designing and deploying NLP-to-SQL and RAG-based LLM applications to power dynamic, self-serve analytics and automated dashboard generation. Engineering validated SQL generation pipelines with guardrails to ensure accuracy in cost-sensitive financial analysis. Building backend data orchestration and transformation workflows to support scalable, real-time cost visibility across supply chain operations. Partnering with finance and operations stakeholders to surface cost drivers, margin leakages, and optimization opportunities.

D&A intern at Syngenta Group, Feb 2024 - Jun 2025 · 1 yr 5 mos, Pune, Maharashtra, India · Hybrid, ➡️ Delivered NLP2SQL chatbot with RAG capabilities on the SQL response allowed users to analyze data 100% faster without much SQL exposure ➡️ Delivered RAG chatbot that allowed users to query any documents of their choice in multiple formats PDF, WORD, PPTX using FAISS and AWS Bedrock AI ➡️ Developed ML pipelines to forecast sales prediction for diverse portfolio of products increasing the accuracy of prediction and reducing bull whip effect on supply chain ➡️ Stakeholder management: Collaborated with Stakeholders to bridge the gap between business and the technical aspects of the forecasting framework, understood business context and developed ML models that increased the Forecast accuracy by 30%

Research Intern | Machine learning | Autonomous Vehicles Object Detection at Energy Research Institute @ NTU, Oct 2023 - Dec 2023 · 3 mos, NTU, Singapore, During my internship, I had the opportunity to work extensively with prominent vehicle utility software such as Autoware, MATLAB, and LiDAR labeler. My hands-on experience allowed me to develop a deep proficiency in these tools, contributing to my growth as a machine learning expert. My skill set expanded significantly as I honed my expertise in Linux and its shell, employing it seamlessly in various aspects of my work. I adeptly utilized utility tools like Rviz to meticulously verify recorded LiDAR data, ensuring accuracy and reliability. One of the highlights of my internship was leveraging MATLAB, open3D, Autoware, and CARLA to simulate and collect LiDAR data files. These files were subsequently subjected to thorough preprocessing for annotations and labeling, showcasing my proficiency in handling complex tasks. Throughout this journey, I encountered and successfully overcame numerous challenges, further solidifying my problem-solving capabilities. The experience not only strengthened my machine learning skills but also deepened my understanding of Autonomous Vehicles, encompassing both software and hardware aspects. This internship has been a pivotal point in my professional development, providing invaluable insights into the field of Autonomous Vehicles and equipping me with the expertise to contribute meaningfully to this dynamic industry.

Research Intern | Deep learning at VU-BU Design Thinking and Innovation Center of Excellence, Jul 2023 - Dec 2023 · 6 mos, Pune, Maharashtra, India, Captured 10660 high quality images of the plumbago zeylanica leaf. Published the dataset on Mendeley Data. Trained deep learning models like resnet50, Xception, InceptionV3 and EfficientNetB0 on the dataset and boosted their accuracy for classification of the plumbago zeylanica leaves in 3 classes (healthy, unhealthy, dried) to over 94%. Displayed the importance of the dataset to the deep learning models and trained a custom model for over 95% accuracy to do the same. Published a paper on the importance of the dataset in the science direct Journal

Project Manager at Team Overdrive, Mar 2021 - Mar 2022 · 1 yr 1 mo, Pune, Maharashtra, India, Project manager at team overdrive of Vishwakarma University

Education

Bachelor of Technology - BTech, Computer Engineering, Vishwakarma University - VU

junior college, science, St. Vincent's High School