RONAK PATIL
@ronakpatil
Data Scientist – II at AllCargo Gati
Mumbai
Ronak Patil is an experienced data scientist with proven success in leading data-driven initiatives. He has expertise in developing advanced algorithms for network optimization, manpower forecasting, and customer prioritization engines. His skills include Python, R, and advanced statistical modeling, enabling him to deliver significant operational savings and revenue growth.
Experience
Data Scientist – II
AllCargo Gati
Led and contributed to a diverse range of projects spanning various domains including but not limited to: Line Haul Network Optimization: Led the development of an innovative algorithm aimed at optimizing the organization's line haul network. Conducted comprehensive analysis to unravel the intricate network dynamics, followed by the application of advanced business logic and operations research techniques. This solution-driven initiative resulted in a significant ₹86 lakhs savings (2% reduction) in line haul costs, accompanied by a streamlined and simplified network architecture, enhancing overall operational efficiency. Manpower Forecasting: Developed a manpower forecasting system utilizing ARIMAX time series forecasting techniques to predict warehouse handler requirements. Achieved over 95% accuracy, resulting in annual cost savings of 1 crore through optimized resource allocation and enhanced operational efficiency. Collections Forecasting and Customer Prioritization Engine: Led the development of a collections forecasting and customer prioritization engine utilizing machine learning techniques. Forecasted customer payment timelines and prioritized collections efforts, resulting in a 5-day reduction in Days Sales Outstanding (DSO) during the POC. It led to enhanced collections efficiency and maximized recovery while minimizing losses. Micro Pricing: Developed a customer segmentation process and leveraged customer segmentation techniques to analyse pricing structures and develop a systematic approach to determine baseline prices for contract renegotiations, serving as the foundational framework for dynamic pricing strategies. The POC demonstrated an annual impact close to ₹14 lakhs, laying the groundwork for optimized revenue generation and contract negotiation strategies. Churn Analytics and Churn Forecasting: Championed the development of a customer-centric churn definition, departing from generic approaches, by incorporating nuanced customer behaviour and segme
Education
Texas A & M University
Master of Engineering
Mechanical Engineering
Relevant Courses: MEEN 683: Multidisciplinary System Analysis and Design Optimization, ISEN 613: Engineering Data Analysis
K. J. Somaiya College of Engineering
Bachelor of Technology
Mechanical Engineering
Received the TATA Education and Development Trust Scholarship for academic excellence covering full tuition for the academic year 2016-2017
V. G. Vaze College of Arts, Commerce and Science
Higher Secondary Certificate Examination
St. Pius X High School
Secondary School Certificate Examination