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Farmvaidya.ai
Data Scientist
June 16, 2026 – Present
llama-dataset-frontend
January 30, 2026 – Present
llama-dataset-frontend — GitHub repository
View Projectstt-benchmark-frontend
January 12, 2026 – Present
stt-benchmark-frontend — GitHub repository
View Projectstt-benchmark-backend
January 9, 2026 – Present
stt-benchmark-backend — GitHub repository
View ProjectBicycle-manufacturing-data-analysis-Python-PBI-SQL
January 4, 2026 – Present
End-to-end data analysis project using Python, SQL, and Power BI on a bicycle manufacturing dataset.
View ProjectDebt-Stress-Prediction-Using-FinBERT
December 9, 2025 – December 9, 2025
This repository contains an end-to-end Financial Stress Prediction model using FinBERT, showcasing skills in NLP, transformers, dataset engineering, model fine-tuning, and deployment-ready inference. Highly relevant for FinTech, credit risk analysis, customer support automation, and financial well-being applications.
View ProjectPlant-Disease-Classification
December 9, 2025 – December 9, 2025
Deep learning project for plant disease classification using MobileNetV2 and the PlantVillage dataset (15 classes, 20K+ images). Includes full training pipeline, optimized model (.h5), and a Gradio-based web interface for real-time leaf disease prediction.
View ProjectCrop_Prediction_Analysis
October 30, 2025 – October 30, 2025
Crop yield prediction and recommendation system using XGBoost and SHAP to analyze soil nutrients, pH, rainfall, humidity, and temperature. Developed and tested in Google Colab with complete data preprocessing, feature engineering, hyperparameter tuning, and SHAP-based model explainability for better agricultural insights.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal initiatives and open-source contributions, which can indicate proactivity and a learning mindset. However, the current experience level (0 years, with a future start date) and the nature of projects (mostly personal, some GitHub repositories with minimal descriptions) suggest a very early career stage. While the projects align with a Data Scientist role, the lack of professional experience and detailed project outcomes makes it difficult to fully assess cultural fit for a senior role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, indicating no completed test results.