During the Data Science Challenge at Schwarz Group, a prestigious competition organized by the Technical University of Munich, I collaborated with a team of three talented individuals to tackle a real-world business problem. Our objective was to optimize the coupon system for the company’s mobile app, ensuring that customers received personalized and relevant offers.
To accomplish this, we leveraged advanced data analysis techniques, particularly the RFM (recency, frequency, and monetary) model. By diving deep into the provided dataset, we identified the most valuable customers based on their purchase behavior and categorized them into segments. This allowed us to understand their preferences and tailor customized coupons that would maximize customer satisfaction and drive sales.
Employing our expertise in R and Python, we developed a robust model that impressed both our peers and the company stakeholders. During the presentation of our findings, the audience was captivated by the accuracy and effectiveness of our approach, leaving them in awe. As a result, our team was awarded the first prize in the competition.
Furthermore, my contribution to the project was recognized with a praise letter from the department, acknowledging my exceptional performance and dedication to delivering impactful results. This experience further solidified my skills in data science and affirmed my ability to provide valuable insights and solutions using advanced analytical techniques.
The Data Science Challenge at Schwarz Group showcased my ability to work collaboratively, apply data-driven methodologies, and deliver exceptional outcomes that drive business success.
