About
Highly accomplished Associate Data Scientist with expertise in Generative AI, multi-agent systems, and machine learning, driving innovation in AI-driven workflows and intelligent automation. Proven track record in Python, SQL, and Snowflake, consistently delivering robust data pipelines and analytics solutions that translate complex datasets into actionable insights, enhancing operational efficiency and decision-making.
Work
Hyderabad, Telangana, India
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Summary
Spearheading the optimization of multi-agent AI workflows and engineering advanced Generative AI solutions to enhance system reliability and task automation efficiency.
Highlights
Optimized multi-agent AI workflows by identifying and resolving critical integration errors and debugging orchestration pipelines, significantly improving reliability and execution efficiency.
Engineered advanced Generative AI (agentic AI) prompt templates and enhanced task-decomposition logic, boosting contextual understanding, decision accuracy, and reducing processing time for complex automation tasks.
Pullman, WA, US
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Summary
Developed an automated Mask R-CNN in PyTorch, integrated with TerraSentia robot, achieving a 0.87 correlation with manual counts and reducing field labor requirements.
Highlights
Developed an automated Mask R-CNN in PyTorch-based counting system integrated with the TerraSentia robot, achieving a 0.87 correlation with manual counts and significantly reducing field labor requirements.
Applied advanced image preprocessing techniques to address lighting and overlap issues, thereby increasing detection accuracy and enabling reliable, data-driven agricultural insights for yield monitoring.
Bangalore, Karnataka, India
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Summary
Enhanced large-scale fleet data analytics by optimizing SQL queries and automating reporting pipelines, improving query speed and operational visibility.
Highlights
Enhanced large-scale fleet data analytics by optimizing SQL queries in Snowflake, automating reporting pipelines and improving query speed through indexing and partitioning strategies.
Collaborated with analysts to build operational performance dashboards, improving visibility into fleet KPIs and enabling faster, data-driven decisions.
Kharagpur, West Bengal, India
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Summary
Revamped menu and pricing strategies using market analytics, driving 40% revenue growth and boosting customer retention by 15% through targeted campaigns and A/B testing.
Highlights
Revamped menu and pricing strategies using market analytics, driving 40% revenue growth and boosting customer retention by 15% through targeted campaigns and A/B testing.
Expanded customer base by 20% within a quarter via optimized pricing models and diversified target segments, reducing overdependence on a single demographic from 90% to a balanced mix.
Skills
Programming & Query Languages
Python, SQL (Postgres), R, Bash, DAX (Power BI).
Frameworks & Libraries
Pandas, NumPy, Matplotlib, Keras, TensorFlow, PyTorch, Scikit-Learn, Pydantic, LangGraph.
Tools & Platforms
Git, VS Code, Visual Studio, PyCharm, IntelliJ, Power BI, Snowflake, QGIS, ArcGIS, AWS.
Certifications
HackerRank - Python, SQL, Problem-Solving, Hugging face: LLM, Agentic AI.