This repository contains an end-to-end data engineering project using Apache Flink, focused on performing sales analytics. The project demonstrates how to ingest, process, and analyze sales data, showcasing the capabilities of Apache Flink for big data processing.
This repository contains results of the completed tasks for the Quantium Data Analytics Virtual Experience Program by Forage, designed to replicate life in the Retail Analytics and Strategy team at Quantium, using Python.
WooCommerce Sales ETL & Analytics Pipeline
Explore the power of data analysis with this Sales Dashboard project! Gain insights into sales trends, customer behavior, and profitability using Excel. Follow along to dive deep into the world of data analytics!
🚀 AI Sales Brain - Intelligent conversational AI assistant that helps sales teams automate workflows, prepare meetings, handle objections, and close more deals through natural Chinese conversation
The system combines an intuitive web dashboard with a powerful time-series forecasting engine, helping companies reduce stockouts, avoid overstocking, and make data-driven purchasing decisions.
SmurphCast – percentage‑first time‑series forecasting (churn, CTR, conversion, retention) with additive + GBM + ES‑RNN stacking and automatic model selection. 100 % Python, CPU‑friendly, explainable.
Back-end server for price analytics platform, enables tracking of sales statistics for various products and product clusters across different countries
A comprehensive sales performance dashboard built in Power BI, analyzing the Superstore dataset.
SmurphCast – percentage‑first time‑series forecasting (churn, CTR, conversion, retention) with additive + GBM + ES‑RNN stacking and automatic model selection. 100 % Python, CPU‑friendly, explainable.
A Power BI project analyzing sales, profit, customers, regions, products, and shipping performance of a retail superstore. The dashboard provides a 360° view of business performance with KPIs, trends, and actionable insights.
B2B sales lead quality prediction using XGBoost classifier. Achieves 81.06% ROC AUC and 84.74% recall on 7,420 IT sales leads. Handles class imbalance, high-cardinality categoricals, and missing data through frequency encoding and threshold optimization. Includes statistical analysis, cross-validation, feature importance, and business insights.
This project is done as part of Codebasics Data Analyst Bootcamp
EDA and data visualization project analyzing Australian sales performance to identify regional trends, seasonality effects, and revenue optimization opportunities.
Enterprise Sales Analytics & Reporting Solution – End-to-end ETL, MySQL database, and Power BI dashboards for business insights.
A 4-page interactive Power BI dashboard analyzing $1.6M+ revenue (2022–2024) for VTech. It tracks KPIs, customer and marketing performance, product profitability, and transactions. Shows growth in 2022–2023, a partial drop in 2024, highlights weak regions, and gives insights for better campaigns and revenue growth. It tracks KPIs, customer and mark
Build and Evaluate Drug Sales using Time Series forecasting
Power BI dashboard for beverage sales performance
Machine Learning framework for smart detection of under and overperformance in business sales
Automated sales performance tracker with incentive calculation for automotive accessory sales
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