Vurum Jhaana Sreya

About

Postgraduate student in Agriculture Analytics with hands-on project experience in crop yield modelling, geospatial analysis, remote sensing, and AI-based decision support. Comfortable working across the full pipeline from satellite and field data to trained models and interpretable outputs, with a focus on agriculture and environmental applications.

Education

• B.Sc. Agriculture
  GH Raisoni University
  Agriculture · 2022 – 2025
• M.Sc. Agriculture Analytics
  Dhirubhai Ambani University
  Agriculture Analytics · 2025

Skills

• Python
• Decision Trees
• Matplotlib
• NumPy
• Pandas
• scikit-learn
• PostgreSQL
• PyTorch
• TensorFlow
• Seaborn
• Logistic Regression
• Keras
• QGIS
• Plotly
• ArcGIS
• Random Forest
• CNN
• XGBoost
• Lstm
• Google Earth Engine
• Shap
• Svm
• Knn
• Linear Regression
• Naive Bayes
• Ndvi
• Lswi
• Fpar
• Npp

Projects

• Crop Water Demand Forecasting – Paddy, West Bengal
  XGBoost, regression

  Developed an XGBoost model to estimate seasonal water requirements for paddy using climatic variables.

• Multi-depth Soil Organic Carbon (SOC) Modelling
  Statistical analysis, Machine Learning

  Ran depth-wise SOC analysis using statistical methods and ML to study how carbon content varies across soil layers.

• Rice Yield Prediction – Indo-Gangetic Plains
  XGBoost, LSTM, 1D U-Net, SHAP

  End-to-end pipeline for predicting rice yield across Indian states using climate variables, satellite vegetation indices, soil properties, and production records.

• Agricultural Land Value & Productivity Intelligence – Ludhiana, Punjab ↗
  QGIS, Google Earth Engine, regression modelling

  Built a geospatial system combining satellite-derived productivity indices with land records to estimate per-parcel agricultural land value in Ludhiana district.

• Harmful Algal Bloom Prediction – Hussain Sagar Lake ↗
  Machine Learning, remote sensing

  Trained ML models to flag high-risk periods for algal bloom in Hussain Sagar Lake using water quality indicators and remote sensing-derived indices.

• Maize Advisory Chatbot ↗
  LLM, prompt engineering

  Built a conversational AI chatbot that gives maize farmers guidance on pest control, irrigation scheduling, and crop health.

Courses & certifications

• Agricultural Analytics & Quality Assessment · Rotten Grapes Company

🗣️ Languages

• English · Professional
• French · Intermediate
• Telugu · Native