Pritesh Jain

I’m a Data Analyst with hands-on experience using SQL, Python, Power BI, and Excel to analyze data, build dashboards, and support decision-making. I focus on data cleaning, exploratory data analysis, KPI tracking, and reporting that stakeholders can trust.

In my Data Science Intern role at Encryptix, I analyzed a passenger dataset (800+ records) using SQL and Python to identify key survival predictors. I also performed data preprocessing and feature engineering that improved Decision Tree model accuracy by 15%, evaluating results with precision, recall, and a confusion matrix.

As a Testing Engineer Intern at Planet Electro Labs, I analyzed device performance logs and testing datasets to monitor measurement accuracy. I developed reports to track defect rates and outcomes, and I led data validation and discrepancy analysis to improve the reliability of reporting.

I build practical analytics solutions too—like a Sales Forecasting & KPI Dashboard in Power BI using DAX and time-series forecasting to improve inventory planning accuracy by 15%. Across projects, I’ve developed predictive models (including IPO profitability prediction) and an end-to-end NLP sentiment pipeline with TF-IDF and comparative classifiers.