Work Case Study
ML models, data pipelines, and intelligent systems deployed.
Smart Finance Platform
Engineered product with ML forecasting and data-driven operational analytics.
Built AI-powered financial platform with predictive forecasting, intelligent dashboards, and data-driven compliance automation.
Role
ML Engineer & Full-Stack Architect
Timeline
Q3 2023 · 14 weeks
Industry
Financial Services & Data Intelligence
What I delivered
- Developed predictive models for cash flow forecasting and financial scenario planning.
- Built real-time data pipelines integrating accounting systems with ML-powered analytics.
- Created intelligent dashboards with automated insights and anomaly detection.
Highlights
- XGBoost and LSTM models achieving 92% forecast accuracy.
- Real-time data pipeline processing 100K+ transactions daily.
- Anomaly detection flagging irregular financial patterns automatically.
Impact metrics
ML & Tools
Product Intelligence Hub
Software platform with recommendation algorithms and growth analytics.
Launched data-driven product intelligence platform with ML-powered recommendations, demand forecasting, and dealer matching.
Role
Data Scientist & Product Engineer
Timeline
Q4 2023 · 10 weeks
Industry
Manufacturing & Data Analytics
What I delivered
- Implemented collaborative filtering for product recommendations.
- Built demand forecasting models using time series analysis.
- Developed dealer-product matching algorithm using similarity metrics.
Highlights
- Recommendation engine achieving 65% click-through improvement.
- Forecasting model with MAPE < 15% on regional demand.
- Smart dealer routing reducing lead assignment time by 70%.
Impact metrics
ML & Tools
Growth Marketplace
Full-stack application with ML matching, dynamic pricing, and user acquisition funnel.
Created intelligent marketplace platform with ML-powered matching, demand forecasting, and dynamic optimization.
Role
ML Engineer & Platform Architect
Timeline
Q2 2026 · 8 weeks
Industry
Hospitality, Events & Data Science
What I delivered
- Built ML matching algorithm connecting clients with best-fit service providers.
- Implemented time series forecasting for demand and pricing optimization.
- Developed supply-demand balancing using gradient boosting models.
Highlights
- ML matching improving booking success rate by 45%.
- Price optimization increasing margins by 18%.
- Demand forecasting enabling proactive capacity planning.
Impact metrics
ML & Tools
Analytics-First Platform
Engineering + content recommendations + audience growth strategy.
Engineered analytics-first content platform with ML recommendations and audience intelligence insights.
Role
Data Engineer & Full-Stack Developer
Timeline
Q1 2023 · 6 weeks
Industry
Publishing & Data Analytics
What I delivered
- Built content recommendation engine using NLP and collaborative filtering.
- Created audience analytics dashboard with cohort analysis and segmentation.
- Implemented automated content tagging using machine learning classification.
Highlights
- Recommendation engine increasing content engagement by 35%.
- Audience segmentation identifying 12 distinct reader personas.
- Automated tagging maintaining 90% accuracy vs manual labeling.
Impact metrics
ML & Tools
Intelligent Support Platform
Built system with ML categorization, routing, and customer retention analytics.
Built intelligent support platform with ML-powered categorization, predictive routing, and analytics dashboards.
Role
ML Engineer & Backend Architect
Timeline
Q4 2022 · 12 weeks
Industry
Customer Support & Intelligence
What I delivered
- Implemented NLP text classification for automatic ticket categorization.
- Built predictive model routing tickets to optimal agent queues.
- Developed SLA prediction and breach alerts using machine learning.
Highlights
- Automatic categorization achieving 88% accuracy with NLP.
- Predictive routing reducing resolution time by 25%.
- SLA breach prediction enabling proactive intervention.
Impact metrics
ML & Tools