Description: The project aims to develop a demand analysis and scoring model at the SKU and location level, enabling dynamic payouts with the core objective of optimizing contribution margins. The model will leverage historical sales, external factors, and predictive analytics to guide payout decisions in real-time, enabling a more data-driven, agile, and margin-conscious strategy.

Required Skills & Traits: Data Analysis and data science

Expected Outcomes: Absolute Contribution Improvement

Specific courses required for project execution: Hypothesis testing, Statistics

Description: The project is aimed at enhancing accuracy in revenue grids and highlights variances that may impact revenue recognition.

By pinpointing mismatches across data sources, it supports timely resolution of issues and enhances revenue accuracy.

Required Skills & Traits: Data Analysis

Expected Outcomes: Discrepancy TAT reduction from 3 months to 20 days

Specific courses required for project execution: NA

Fintech Blue Solutions Pvt. Ltd. ( turtlemint )

Station Overview

Project 1

Title: 1. SKU-specific demand analysis and scoring for Dynamic Payouts 2. Reconciliation of insurer statements and estimated revenue to identify discrepancies