1️⃣ Performed Data Cleaning with Python, Pandas, and NumPy, achieving a 95% accuracy rate in predicting customer purchase behaviour. 2️⃣ Leveraged Matplotlib and Seaborn for Data Visualization, ensuring effective communication of insights, highlighting a 25% improvement in product visibility and customer outreach strategies. 3️⃣ Resulted in a 20% increase in targeted marketing precision, optimizing product placement and enhancing overall customer engagement.