Shaunak Deshpande

Throughout my academic, personal, and professional experiences, I have developed a valuable ability to adapt to environments and changes. Having lived in different countries and moved between schools, I have learned the importance of communication, teamwork, and building strong relationships. I am a dedicated problem-solver with a diverse background, which has equipped me to contribute effectively in data analytics and science, marketing, economics, and communications, while bringing a unique perspective to new challenges

I'm a recent MSc Data Science & Marketing Analytics graduate with hands-on experience in analytical marketing and consumer insights. Most recently, I worked as a Market and Insights Analyst at Philips (Versuni) from February to September 2024, where I developed over 10 dynamic Power BI dashboards integrating cross-functional data and led competitor analysis across 10+ competitors in 3 product categories. My work on multi-channel marketing campaign evaluations resulted in a 15% reduction in cost per acquisition, and I analyzed over 5,000 consumer survey responses to uncover key market trends and customer insights.

Previously, I served as a Web Analyst at MediaMarkt BeNeLux from October 2022 to April 2023, where I analyzed website performance and consumer behavior across 20+ key metrics. I collaborated with digital development teams to optimize KPIs, achieving nearly a twofold increase in conversion rates and reducing bounce rates by 10%. I also managed daily data reporting and created automated visualizations that significantly streamlined reporting processes.

Beyond my professional internships, I demonstrated leadership as a Management Board member at Rotterdam Consulting Club, where I led 250+ active members and built relationships with top consulting firms. My technical expertise spans advanced analytics tools including R, Python, SQL, Power BI, and GA4, with a proven track record of applying machine learning and statistical analysis to deliver measurable business impact through data-driven marketing optimization.

I recently completed my MSc in Data Science & Marketing Analytics from Erasmus School of Economics in the Netherlands (2023-2024), where I gained extensive hands-on experience applying advanced analytical techniques to real-world marketing challenges. During the program, I applied advanced machine learning methods including SVMs, neural networks, and tree-based models for market segmentation, which improved targeting accuracy by over 25% and boosted revenue through optimized pricing strategies. I used regression techniques like ridge, lasso, and elastic-net for churn prediction, successfully reducing churn risk and improving ad campaign impressions by approximately 20% while enhancing demand forecasting accuracy.

The program provided me with strong proficiency in R for ML-driven customer behavior analysis, sales forecasting, and marketing performance evaluation, along with skills in creating dashboards to visualize key KPIs. I leveraged GA4 for digital marketing analytics, optimizing conversion funnels to reduce drop rates by 12% and improve customer acquisition ROI. Additionally, I conducted text analytics on over 50,000 product reviews and social media posts to uncover sentiment trends, and developed consumer personas for a performing arts center with 500,000+ annual visitors to personalize their marketing strategies.

My undergraduate foundation includes a BSc in Economics & Business Economics from Erasmus University Rotterdam (2020-2023), which provided me with strong analytical and business fundamentals that complement my specialized data science and marketing analytics expertise.