Hey there! 👋 I’m a data analyst with hands-on experience in inventory management. What I find most fulfilling about my work is the satisfaction of completing projects and seeing how my analyses can guide decision-making. I enjoy the entire process—from cleaning and transforming data to crafting insights and generating actionable recommendations.
Outside of data, I’m passionate about reading psychology, enjoying electronic music 🎧, and working out at the gym 💪. I’ve recently started diving back into personal projects and am eager to explore new areas in customer segmentation and inventory optimization.
Technical Skills: Python, SQL, MySQL, NumPy, Pandas, Scikit-Learn, Tableau, Jupyter, Google Sheets, Google BigQuery, MS Excel
Soft Skills: Teamwork, Proactivity, Problem-solving, Attention to detail, Prioritizing, Adabtability
- Online Retail Customer Segmentation Analysis: Analyzed customer behavior using RFM metrics to enhance targeted marketing strategies and improve customer engagement.
- Bank Marketing Subscription Prediction: Developed a predictive model to forecast customer subscription likelihood for term deposits, utilizing random forest with hyper parameter tuning.
- Spotify Song Recommender: Developed a song recommendation system that utilizes Spotify's API to collect diverse audio features from tracks and searches genre-based playlists to build a comprehensive dataset. Implements K-means clustering for song similarity analysis and provides tailored recommendations based on user input.
- HR Analytics Dashboard: HR Dashboard