Abhijeet Ghadge

Data Analyst–Product&Tech

Entain•  June 2023 - July 2024•  London, England

Utilized SQL proficiency and Python, along with tools like DBeaver, Jupyter Notebook, and Google Colab for data analysis and manipulation, improving data processing speed. Worked with stakeholders, including product managers and UI/UX designers, to gather and address data needs for various projects. Utilized Looker and Power BI to develop comprehensive dashboards and reports,which enhanced reporting efficiency by 30% and supported more informed decision-making and strategic planning. Optimized customer engagement strategies using Google Analytics (GA4), leading to a 10% increase in user retention and a 12% boost in engagement. Spearheaded the development of innovative betting features for digital sportsbooks at leading brands (Ladbrokes, Coral & Bwin), resulting in a 25% increase in user engagement and enhancing customer satisfaction scores by 30% within the first quarter. Led the end-to-end product development lifecycle formultiple high-impact projects, from initial concept through to launch, achieving a 20% reduction in time-to-market and a 15% improvement in product quality.

Data Analyst

Tauro Techlabs Pvt Ltd•  December 2018 - March 2021•  Mumbai, India

Extracted and transformed data from multiple databases using SQL and Pandas, whichstreamlined data accessibility and reduced processing time by 35%. Conducted advanced statistical analysis with R and Python, generating actionable insights that drove a 15% improvement in strategic decision-making. Leveraged data visualization tools such as Tableau, Seaborn, and Shiny to craft detailed reports and interactive dashboards, enhancing data interpretation and stakeholder understanding by 25%. Applied basic machine learning techniques using Scikit-Learn, implementing models such as linear regression and clustering to support predictive analytics and improve forecasting accuracy by 20%. Cleansed, scrubbed, and transformed data from diverse sources including Postgres, Excel, and Microsoft Access, ensuring 98% data accuracy and reliability. Collaborated with cross-functional teams to pinpoint and address data requirements for business objectives, enhancing project alignment and efficiency by 30%.