Vineet Kumar Email & Phone Number

Gurugram, Haryana, India

Worked as business analyst for Coca-Cola bottlers sales and services (CCBSS).• Handling analysis and reporting of 42 FTEs for an Accounts Receivable Process for NAM and APAC regions.• My responsibilities encompass achieving targets for past due accounts, overseeing personnel, resolving disputes, managing billing processes, coordinating client communications.• Managed and analyzed large amounts of complex data using python to extract valuable insights.• Design, develop, and validate predictive models and algorithms, ensuring accuracy, reliability, and compliance with regulatory standards.• Worked closely with Subject Master Experts to identify and define business reporting requirements.• Communicate complex technical concepts and findings to non-technical stakeholders.

Gurugram, Haryana, India

• Orchestrated the smooth functioning of a mid-sized operations staff proficient in various tasks such as Enrolment & Renewals, Billing of retail customers, Account Receivables, and Analytics.• Oversaw the onboarding, transaction management, and invoicing processes for a diverse portfolio, including a substantial clientele of over 20,000 retail Electricity customers.• Spearheaded the recommendation and implementation of innovative forecasting methodologies and strategies, informed by meticulous research and detailed analysis of consumption and weather patterns, customer demographics, and market trends, leveraging Python-based machine learning models.• Crafted numerous interactive filters, parameters, and calculations embedded within Tableau and PowerBI dashboards and worksheets to enhance data visualization and facilitate informed decision-making, ensuring effective communication of insights derived from machine learning models.• Led the automation, streamlining, and enhancement of current processes leveraging Python, SQL, Tableau, and PowerBI, developing tailored solutions to optimize operational efficiency and improve overall productivity.

Gurugram, Haryana, India

• Responsible for preparing Retail Electricity Forecasts utilized for commodity hedging and scheduling, employing diverse sets of forecasting models including linear Regression, Logistic Regression, Decision Trees, Random Forests.• Responsible for creating accurate and timely proposals for potential and current customers. Coordinating and completing all pricing requests in a timely manner and ensuring all customer data is complete and accurate before, during and after pricing.• Producing deal review analysis, Profitability Report, Commission report for Broker Commission, and other reports utilizing PowerBI for visualization and analysis