Data Science professional with strong expertise in predictive modeling, customer segmentation, sentiment analysis, and time-series forecasting, delivering project accuracies above 85%. Skilled in Excel, Python, SQL, ML/DL frameworks, and advanced visualization tools, with hands-on experience across banking, e-commerce, HR analytics, and financial forecasting. Certified in Advanced Data Science & AI, with a solid foundation in civil engineering and over 5 years of project coordination and auditing experience. Adept at combining analytical rigor with business insight to drive data-driven decision-making and optimize organizational outcomes.

Work Terms

- Operating Procedure: I follow a structured approach—understanding project requirements, conducting thorough data analysis, building predictive models, and delivering actionable insights with clear documentation.
- Payment Preferences: Flexible to client requirements, typically milestone-based or project-based payments.
- Turnaround Time: Committed to timely delivery; smaller tasks within 2–3 business days, larger projects depending on scope.
- Availability: Open to part-time, or freelance engagements.
- Communication Channels: Responsive via email, phone and chat. Regular progress updates are shared to ensure transparency.