Manoj Bomminayuni

Decision Analytics Associate Consultant

ZS Associates

Pune

07.2023 - Current

Supporting pharmaceutical clients on several analysis, including optimizations, development of reliable forecasting tools, business unit performance for important product/market segments by helping to develop models for new products and strategic initiatives, with emphasis on researching and validating the modeling inputs/ assumptions and ensuring their alignment with operational models and strategic goals.
Ability to work independently and interact effectively cross functionally.
Knowledge about: Sales forecasts estimate, sales revenue, understanding of market share and other brand growth metrics, different forecasting software with higher levels of agility and scalability
Strong Excel expertise, VBA coding, database management (e.g., C++, Java, SQL) and data analytics
Hands-on experience using data/analytics dashboards (e.g., Tableau, Power BI). Expertise in Model Building, Timeseries Forecasting, Patient-Flow Forecasting, Project management, Client solution majorly in US, Canada, Europe, Japan, China and Taiwan Markets.
Developed multiple forecast and portfolio models for top life sciences companies and hospitality industry using analytical frameworks and forecasting methodologies
Worked on forecast support projects to help clients with assumptions gathering, model population, ad-hoc analysis and process optimization
Understanding of Client problems and delivering solutions for unstructured problems
Effectively communicated complex analytical findings to non-technical stakeholders and brand leadership teams
Developed automated presentations and Tableau data visualization dashboards for multiple brands and therapy areas which helped in reporting, data development, tracking and improving the demand planning and forecast actualization process
Applied ML algorithms (Prophet, XGboost, ARIMA) in Python to generate time series forecasting for hospitality industry
Performed data cleaning and preprocessing for COVID affected data in pharma and hospitality industries