Akshay Sapkal

Results-driven Professional with 5 years of experience in customer service and technical account management, I excel in conducting technical investigations, resolving escalations, and collaborating with cross-functional teams to exceed customer expectations and achieve business objectives. I hold a Master’s in Business Analytics, providing a solid analytical foundation and a strong focus on data-driven strategies to address complex challenges and enhance decision-making. Experienced in using tools such as Power BI, Excel, SQL, and Python to generate insights, automate reporting, and improve operational efficiency.

• SAS - Surrey Business School Academic Specialization in Data Mining and Text Analytics - Procured a badge from SAS after completing a Prediction Modeling project for module of Data Mining and Text Analytics
• Duolingo English Test - Demonstrated strong English language proficiency by achieving 6.5 band score in the Duolingo exam.
• AWS Certified Solutions Architect Associate certification - Demonstrated expertise in designing cost-effective and performance-optimized cloud solutions.

• Exploring Road Traffic Accident Data and Text Analytics Insights (12/2023 - 12/2023) - Analyzed and predicted road traffic accident data using SAS Viya, delivering insights that informed policy recommendations for improved road safety.
• Caravan Insurance Project (11/2023 - 12/2023) - Predicted customer interest in caravan insurance using MySQL and Power BI for EDA, and IBM SPSS Modeler and R Studio for modelling achieving 60% prediction accuracy and guiding marketing strategies.
• Statistical and Econometrics Analysis on the Paid Apps Dataset of Google Play Store (12/2023 - 12/2023) - Performed an Econometric Analysis on the Paid Apps Dataset of Google Play Store using statistical software STATA to evaluate the effectiveness of the competitive strategies for app success.
• International Bank Marketing Campaign (04/2024 - 05/2024) - Developed a marketing campaign leveraging insights from a new ML model using IBM SPSS Statistics for an international bank to promote their fixed term saving account scheme as a part of marketing analytics.
• Seoul Bike Sharing Demand Analysis (04/2024 - 05/2024) - Successfully conducted a predictive analysis of bike-sharing demand in Seoul using Python, evaluating multiple regression models to optimize bike availability based on weather and temporal factors.