Stanley Osei-Wusu

Data Science Intern

Experienced in operational management with over ten years of business knowledge. Skilled in Python, SQL, and data manipulation, with a strong foundation in machine learning and data analysis. Committed to utilizing technical expertise and business acumen to drive innovative solutions in dynamic environments.

• Car Sales Data Exploration: Analyzed car sales data to uncover trends and insights, developing targeted sales strategies that significantly improved sales performance.

• Bridging the Gap, A Data-Driven Approach to Enhancing Educational Equity and Performance: Investigated the impact of student demographics and socioeconomic factors on educational outcomes, with a focus on disparities in gender, race, and economic status, providing actionable insights for policy changes and targeted interventions.

• Analyzing Community Structures and Bridge Nodes in a Social Network: Conducted an in-depth analysis of a Facebook community network, identifying key bridge nodes and analyzing network connectivity using data from Stanford's SNAP database. Provided strategic recommendations for improving information flow and network cohesion.

• House Pricing Prediction Model: Developed a regression model to predict house prices based on data features such as area, age, and amenities, utilizing a dataset of 50,000 entries.

• Reading: Staying updated with the latest advancements in AI and machine learning through journals and articles.
• Chess: Enhancing strategic thinking and problem-solving skills through regular chess games.
• Cooking: Experimenting with different cuisines and learning new recipes, promoting creativity and relaxation.