Portfolio Projects

Real-world solutions delivering measurable business impact

Privacy Notice: The projects showcased here are work-related and contain confidential business information. While I can share the business impact and technical approach, detailed implementation code and internal documentation cannot be made public due to company privacy policies.

Predictive Sales Forecasting System

Production

End-to-end automated sales forecasting pipeline with real-time Power BI integration, enabling data-driven strategic planning and resource allocation.

Business Impact:

90% forecast accuracy (vs. 65% manual baseline)
95% reduction in forecasting time
Real-time insights for 50+ sales team members

Technical Implementation:

Time series models (Prophet, SARIMA)
Azure Data Lake + Power BI integration
Automated monthly retraining pipeline

Technologies:

Python Prophet Power BI Azure ML REST APIs

Duration: 8 months | Team: 3 people Work Project - Details Confidential

Customer Churn Prediction Engine

Production

ML-powered churn detection system providing real-time risk scoring and actionable retention recommendations for sales teams.

Business Impact:

95% model accuracy (AUC-ROC: 0.94)
15% improvement in customer retention
$2.3M annual revenue protection

Technical Implementation:

Gradient Boosting (XGBoost) classifier
Feature engineering pipeline (150+ features)
Real-time Power BI dashboard integration

Technologies:

XGBoost Feature Engineering Azure ML Power BI MLOps

Duration: 6 months | Team: 2 people Work Project - Details Confidential

Power BI x Azure Data Lake Framework

Production

Scalable data integration framework connecting Power BI with Azure Data Lake, optimized for large-scale KPI calculations and real-time analytics.

Business Impact:

40% improvement in data processing speed
10x increase in data volume capacity
Reusable framework for 5+ business units

Technical Implementation:

Polars-based data processing engine
REST API integration layer
Multiprocessing optimization

Technologies:

Polars REST APIs Azure Data Lake Multiprocessing Python

Duration: 4 months | Team: 2 people Work Project - Details Confidential

Portfolio Risk Assessment Platform

Completed

Interactive financial analytics platform for portfolio risk assessment, asset allocation optimization, and real-time risk monitoring.

Business Impact:

Real-time risk monitoring for $50M+ portfolios
Interactive asset allocation optimization
Client-facing analytics dashboard

Technical Implementation:

Risk metrics calculation engine
MySQL data warehouse
Docker containerization

Technologies:

Python Dash Docker MySQL Financial Analytics

Duration: 5 months | Team: 3 people Work Project - Details Confidential

Customer Segmentation & Targeting

Production

Unsupervised learning system for customer segmentation, enabling targeted marketing campaigns and personalized product recommendations.

Business Impact:

8 distinct customer segments identified
25% improvement in campaign conversion rates
$1.8M additional revenue from targeted campaigns

Technical Implementation:

K-means clustering algorithm
Behavioral & transactional features
Monthly segmentation updates

Technologies:

Scikit-learn Clustering Feature Engineering Power BI Python

Duration: 3 months | Team: 2 people Work Project - Details Confidential

ETL Pipeline Modernization

Production

Modernized legacy ETL processes using Python and Luigi, improving data reliability, processing speed, and monitoring capabilities.

Business Impact:

60% reduction in processing time
99.9% data quality improvement
Real-time pipeline monitoring

Technical Implementation:

Luigi workflow orchestration
MySQL optimization & indexing
Data quality monitoring

Technologies:

Python Luigi MySQL Pandas ETL

Duration: 4 months | Team: 2 people Work Project - Details Confidential

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