Anwesha Mohanty

As a Data Analyst at Adobe, I built Logistic Regression models for Market Mix Modelling, optimizing customer targeting and forecasting marketing strategies. I enhanced advertisers’ Cost Per Day bidding for high-budget campaigns, focusing on improving ROI through data-driven insights.

In my role at Mu-Sigma Inc., I led the development of a Customer Lifetime Value model using historic acquisition data. This model predicted revenue returns based on customer repeat rates, guiding strategies for customer acquisition and retention.

Conducted A/B and multivariate testing using SciPy and Stats models to optimize marketing creatives. Analyzed KPIs such as Click-Through Rate and engagement metrics to improve campaign performance.

Performed customer sentiment analysis using NLP techniques to classify feedback and optimize content. Utilized Python and Azure for data management and visualization, enhancing understanding of customer sentiments.

Developed a Demand Management System to standardize demand intake across organizations. Improved demand management accuracy significantly using React and Flask for frontend and backend development.

Created Power BI dashboards for a leading Oil & Petroleum company, enabling Portfolio Managers to track resources and project progress. Focused on maximizing business value through effective data visualization.

Conducted campaign assessments and forecasting using XGBoost to capture complex patterns in customer metrics. Implemented predictive simulations to enhance performance and bridge gaps in campaign effectiveness.

B.Tech in Computer Science & Engineering, focused on complex patterns and predictive analytics using advanced machine learning techniques. Conducted extensive testing on customer metrics to enhance performance and bridge gaps in business strategies.

Completed Higher Secondary Education with a strong foundation in analytical and technical skills, preparing for advanced studies in computer science and engineering.