sankalpa dutta

Lead a team and acted as individual contributors to create machine learning pipelines with large volumes of user data captured in the transaction funnel to understand and predict ​Customer Lifetime Value [CLV]. Created feed of relevant news articles to enrich transactional websites using ​NLP s​service provided by AWS Comprehend​ to improve user experience.

Retail Client in USA: Designed and Developed ​Neural Network based machine learning solution using Tensorflow ​to predict future sales, staffing and business growth. Art Gallery Client in Germany: Contributed as a Product owner of Data & Analytics projects. Gathered business insights for key leadership teams and l​aunched Dashboards ​for better tracking of​ user behaviours. Used ML for inventory management and ​forecasting

Drove B2B e-commerce data and insight based product optimisation for Cover-More in India and Australia Identified business opportunities, implemented hypothesis testing and improved sales by 35 % using CRO methods. Conducted statistical market research tests, gained customer knowledge and translated them to product roadmap, epics and user stories. Clustering and Targeting users for Newsletter and Email Marketing based on user persona.

Identified opportunities, performed Campaign Analysis to help improve campaign effectiveness and quality of service. Maintained organisation reputation online by detecting user sentiment and targeted engagement. Performed user analysis, formulated strategies and action plans to address identified opportunities.

Provided regular and timely reporting on key performance indicators, metrics to Leadership Team, along with implications and insights based on the data. Contributed as a part of the team working on Marketing Analytics and Customer Segmentation globally.

Identified common frauds, errors & irregular transactions through analysis. Identified opportunities to grow branch business through data analysis​.