VIVEK Raj verma

I’m a results-driven Data Analyst/Data Scientist with 1.5+ year of experience in Python, SQL, Machine Learning, and Business Intelligence. I focus on Exploratory Data Analysis (EDA), statistical analysis, forecasting, and turning messy data into clear, decision-ready outputs.

At INVENTERON TECHNOLOGIES (Junior Data Scientist), I performed data cleaning, preprocessing, and EDA using Python (Pandas, NumPy), improving data quality by 25%. I developed and evaluated regression and classification models with Scikit-learn, raising prediction accuracy by 18%, and built Power BI dashboards tracking 10+ KPIs while reducing manual reporting effort by 30%. I also implemented LLM and RAG systems to improve response relevance by 20%, and supported deployment, validation, and monitoring in production to reduce model failure rate by 15%.

In my “Vendor Invoice & Freight Cost Prediction” project, I designed ETL/data pipeline workflows for automated ingestion and preprocessing across multi-source retail datasets. Using SQL (CTEs, joins, aggregation, filtering) and Power BI for real-time vendor KPI and freight analytics, I identified approximately $2.71M unsold inventory and generated data-driven recommendations—along with detecting 198 underperforming brands to support pricing and promotional decisions.