Pratik Moodlyar

Background

About Pratik Moodlyar

Strategic data professional and team leader with a strong background in leveraging data-driven insights to inform strategic decision-making. I excel in analyzing complex datasets to identify opportunities for revenue growth, cost optimization, and market expansion. My expertise lies in translating data into actionable recommendations and driving sustainable business outcomes in dynamic and competitive environments. I play a pivotal role in driving AML strategic initiatives and ensuring regulatory compliance through the implementation of enhanced due diligence processes, leveraging advanced data analytics and risk assessment methodologies. By integrating technology solutions and conducting comprehensive investigations, we strengthened our ability to detect and mitigate suspicious activities. In my previous roles at leading global organizations like Nestle, Adidas, Amazon, and Porche, I have spearheaded strategic initiatives to optimize pricing strategies and enhance portfolio performance. Leveraging advanced analytics and machine learning techniques, I have developed predictive models to forecast market trends, customer behavior, and competitive dynamics. By collaborating cross-functionally with sales, marketing, and finance teams, I have implemented data-driven pricing strategies that maximize profitability while maintaining competitiveness and customer value perception. Core Competencies: •Data Analysis & Interpretation •Predictive Modeling & Forecasting •Pricing & Delivery Strategy Development •Portfolio Optimization •Market Research & Competitive Analysis •Cross-Functional Collaboration •Stakeholder Management •Data Visualization & Communication Accomplishments: •Identified $3.8M in savings for clients •Reduced transportation costs by at least 12% •Achieved 100% positive performance evaluation •Received Productivity and Innovation Recognition Technologies: Anaconda Enterprise, Salesforce Commerce Cloud, SAS, SAP, MS Office (Outlook, Excel, PowerPoint, Word, Teams), Databricks, MicroStrategy, Tableau, SQL, Python, Kibana, IBM Sterling Order Management, Jira