<p><span data-sheets-root="1" style="font-size: 11pt; font-family: Arial;"><font color="#000000" style="background-color: rgb(255, 255, 255);">·Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.·Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.<br>·Experienced in working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding.<br>·Well versed with necessary data reprocessing and feature engineering skills.<br>·Strong background in Statistical Analysis. Constantly look and research on ML algorithms and data sources for better prediction<br>·Work and coordinate with multiple stakeholders to identify opportunities for leveraging company data to drive business solutions, implement models and monitor outcomes.<br>.Assess the effectiveness and accuracy of new data sources and data gathering techniques and develop processes and tools to monitor and analyze model performance and data accuracy.<br>·Experience in establishing/scaling up data science functions<br>·Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights<br>·Leverage analytics to increase customer lifetime value for clients acquired digitally by pitching right product to the right client at the right time<br>·Help define pricing models for digital value propositions for various segments of users / clients to ensure profitability of the portfolio and to ensure achievement of business outcomes<br>·Work with product, growth, and marketing teams across product/campaign lifecycle<br>·Empower product and marketing teams by creating automated dashboards and reports using PowerBI<br></font><br></span></p>