"In a world of noise, I let data tell the truth."
I'm a Data Science Professional passionate about analytics-driven decision making, predictive intelligence, and scalable machine learning systems.
My approach blends technical rigor with business impact — delivering solutions that are as insightful as they are actionable.
- 🎯 Specialties: Predictive Modeling, Sales Analytics, CRM Optimization, Data Engineering Pipelines
- 🚀 Interests: AI-driven Business Intelligence, NLP in Customer Analytics, Financial Forecasting
| Domain | Skills | Achievements |
|---|---|---|
| Data Science & ML | Python, R, TensorFlow, PyTorch, XGBoost | Boosted model accuracy by 16%+ |
| Business Intelligence | Tableau, Power BI, SQL, Excel | Built 15+ live dashboards |
| Sales Analytics | Salesforce Data, CRM Modeling | Drove $100K/month revenue gains |
| Data Engineering | AWS, Azure, Snowflake, Docker | Automated pipelines with 30% faster ETL |
✨ Business Intelligence Engineer — George Washington University
- Engineered predictive health models improving forecasting precision by 16%.
- Automated anomaly detection across 12M+ records using advanced SQL and Python pipelines.
✨ Data Analyst — Ffreedom App
- Built lead scoring systems with XGBoost and LSTM, driving $100K monthly revenue uplift.
- Boosted marketing engagement by 20% via CRM-integrated analytics dashboards.
✨ Junior Data Scientist — Tequed Labs Pvt Ltd
- Developed an NLP-powered chatbot achieving 85% prediction accuracy.
- Designed high-throughput data pipelines with Kafka and Scala.
- CRM Sales Funnel Optimization: Simulated Salesforce pipelines, closed 12% mid-funnel leakages.
- Territory Revenue Forecasting: Modeled sales trends with 92% forecast accuracy.
- Discount Impact Analysis: Recovered $480K/year optimizing discount strategies.
