Data Scientist at Iconma, with expertise in machine learning, predictive modeling, and natural language processing. Designed solutions, such as a loan eligibility assessment system and an AI chatbot, improve operational efficiency and customer engagement. Proficient in Python, data visualization, and LLMs, with a strong record of delivering results in collaborative, Agile-driven environments.
Audience-Builder:
Developed a loan eligibility assessment system using large language models (LLMs), improving applicant evaluation accuracy, and reducing manual screening time.
AI Chatbot:
Created an AI-powered chatbot for logistics operations to automate customer interactions, streamline query resolution, and enhance user experience.
No Show Prediction:
Designed a predictive model to forecast patient attendance for scheduled appointments, enabling better scheduling, and reducing revenue loss from missed visits.
Route Optimization:
Engineered a vehicle routing optimization system with OR-Tools, integrating depots, pickup–delivery constraints, vehicle capacities, and time windows, resulting in faster deliveries and reduced transportation costs.
Email Automation Model:
Built a natural language model to automatically generate and send emails from user specifications, improving communication efficiency and reducing manual effort.
House Price Prediction:
Constructed a regression-based predictive model for housing prices, achieving accurate price estimations to support data-driven real estate decisions.