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I am a data scientist and engineer with over four years of experience specializing in machine learning, geospatial analytics, and cloud tools applied in agriculture, climate, and finance sectors. My work focuses on building scalable and reproducible pipelines and real-time analytical solutions. I have expertise in generative AI including large language models, prompt engineering, and retrieval-augmented generation, with published research in crop science and climatology. Throughout my career, I have partnered with agronomists, conducted satellite image analysis, developed forecasting models, and built interactive dashboards to support precision agriculture innovations and operational decision-making. I have successfully automated workflows, improved model accuracy significantly, and contributed to cross-functional agile teams, continuously advancing my skills in data science, AI, and cloud technologies.…I am a data scientist and engineer with over four years of experience specializing in machine learning, geospatial analytics, and cloud tools applied in agriculture, climate, and finance sectors. My work focuses on building scalable and reproducible pipelines and real-time analytical solutions. I have expertise in generative AI including large language models, prompt engineering, and retrieval-augmented generation, with published research in crop science and climatology. Throughout my career, I have partnered with agronomists, conducted satellite image analysis, developed forecasting models, and built interactive dashboards to support precision agriculture innovations and operational decision-making. I have successfully automated workflows, improved model accuracy significantly, and contributed to cross-functional agile teams, continuously advancing my skills in data science, AI, and cloud technologies.

Ushasree Mindala

Data Scientist, AI Engineer, Cloud Developer, +1

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I am a data scientist and engineer with over four years of experience specializing in machine learning, geospatial analytics, and cloud tools applied in agriculture, climate, and finance sectors. My work focuses on building scalable and reproducible pipelines and real-time analytical solutions. I have expertise in generative AI including large language models, prompt engineering, and retrieval-augmented generation, with published research in crop science and climatology. Throughout my career, I have partnered with agronomists, conducted satellite image analysis, developed forecasting models, and built interactive dashboards to support precision agriculture innovations and operational decision-making. I have successfully automated workflows, improved model accuracy significantly, and contributed to cross-functional agile teams, continuously advancing my skills in data science, AI, and cloud technologies.…I am a data scientist and engineer with over four years of experience specializing in machine learning, geospatial analytics, and cloud tools applied in agriculture, climate, and finance sectors. My work focuses on building scalable and reproducible pipelines and real-time analytical solutions. I have expertise in generative AI including large language models, prompt engineering, and retrieval-augmented generation, with published research in crop science and climatology. Throughout my career, I have partnered with agronomists, conducted satellite image analysis, developed forecasting models, and built interactive dashboards to support precision agriculture innovations and operational decision-making. I have successfully automated workflows, improved model accuracy significantly, and contributed to cross-functional agile teams, continuously advancing my skills in data science, AI, and cloud technologies.

Available to hire

I am a data scientist and engineer with over four years of experience specializing in machine learning, geospatial analytics, and cloud tools applied in agriculture, climate, and finance sectors. My work focuses on building scalable and reproducible pipelines and real-time analytical solutions. I have expertise in generative AI including large language models, prompt engineering, and retrieval-augmented generation, with published research in crop science and climatology.

Throughout my career, I have partnered with agronomists, conducted satellite image analysis, developed forecasting models, and built interactive dashboards to support precision agriculture innovations and operational decision-making. I have successfully automated workflows, improved model accuracy significantly, and contributed to cross-functional agile teams, continuously advancing my skills in data science, AI, and cloud technologies.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Geospatial Data Scientist at University of Missouri

November 1, 2022 - Present

Partnered with agronomists to build predictive models estimating above-ground crop biomass using multi-year ground-truth data, Landsat/Sentinel-2 imagery, and NOAA weather datasets, achieving over 80% model accuracy with a 40% RMSE reduction compared to baseline. Developed LSTM models to forecast vegetation indices for cloudy or missing satellite captures, restoring 90% data continuity used for biomass prediction. Built end-to-end ETL pipelines with Apache Airflow to automate ingestion and preprocessing of satellite and weather data, reducing manual efforts by 50%. Integrated groundwater and soil water balance metrics to improve temporal modeling of crop growth stages, enhancing early-season prediction performance by 15%. Created and deployed RESTful APIs using FastAPI and Docker for real-time model access across web and analytics platforms, ensuring reproducibility and scalability. Conducted high-resolution satellite image analysis to detect cows in pastures with 92% object detection

Data Scientist II at Deloitte

July 1, 2022 - August 22, 2025

Conducted data-driven analysis across UCAN, LATAM, and EMEA regions uncovering procurement inefficiencies that enabled 30% cost optimization within three months. Built analytical pipelines using PySpark and SQL to structure healthcare, finance, and logistics data for predictive modeling and dashboard reporting. Developed forecasting models for inventory planning and vendor performance, improving operational decision-making and reducing stockout risk. Conducted user acceptance testing for finance dashboards ensuring data accuracy and business rule alignment. Automated workflow deployment using AWS CodePipeline, cutting release effort by 50% and improving team agility.

Data Scientist I at Deloitte

March 1, 2022 - August 22, 2025

Performed exploratory data analysis and built financial forecasting models using advanced SQL to simulate multiyear budget scenarios for healthcare clients. Designed custom anomaly detection and KPI tracking logic enabling early identification of revenue and purchasing deviations. Created a Python-based AWS SDK tool to automate S3 data cataloging, reducing manual indexing time by 40%. Led data validation and cleaning for finance and procurement datasets, ensuring integrity across over 10 million rows used in executive reporting. Actively participated in Agile sprint cycles, supporting timely delivery of cross-functional data science solutions.