Geetesh Matreja

Supported achievement of sales targets across ~5,000 SKUs by tracking daily sales to identify bestsellers, slowmovers, and replenishment needs to minimise lost sales. Maintained store compliance by executing daily openings/closings and processing 300+ transactions per day with zero cash discrepancies.

I was a project intern in SaS Australia to develop & maintain predictive model pipelines to predict home loan defaulters

Identified key financial default risk indicators by applying 5 feature selection algorithms and analysing missing data patterns (MCAR, MAR, MNAR), reducing predictors from 12 to 4 while maintaining 86% model accuracy and KS statistic of 0.68. Built a 3-tier risk classification scorecard achieving 100% true positive rate in the High Risk group to enable compliance and non-technical stakeholders to

I worked as a BDR in a corporate film making company in Mumbai, India drove 30% revenue with market research and streamlined outreach strategies. Reduced outstanding payments by 15%, by building a Power Automate workflow that auto-flagged overdue invoices and triggered follow-ups based on outstanding amount and due date. Maintained relations with stakeholders.

Drove 30% revenue growth in six months by analysing corporate spending patterns in Excel and Pipedrive to identify high-value client segments and streamline outreach. Reduced outstanding payments by 15% by building a Power Automate workflow to auto-flag overdue invoices and trigger follow-ups based on outstanding amount and due date.

Grade: 2.4

Grade: 3.8

Bachelor of Management Studies in Business & Economics at RADAV College (Mumbai University), started in March 2022.