Abhishek Bhardwaj

I analyzed 1,000+ resumes at Veridia.io, building preprocessing pipelines, NLP-based categorization models, and a Streamlit application with visual dashboards and filters.

I've built end-to-end analytics and machine learning projects, including a churn prediction system using Logistic Regression, Random Forest, and XGBoost, plus Tableau and Power BI dashboards for transport risk and retail profit analysis.

My work also includes FPGA-accelerated crop disease detection, where I trained deep learning models on PlantVillage and hyperspectral datasets and deployed an optimized model on a Kria KV260 using Xilinx Vivado and Vitis AI.