Natalia Zmeikova

Results-driven professional transitioning into Data Analytics after a successful career in recruitment. Strong analytical mindset, expertise in SQL, Python, Tableau, and a deep understanding of business metrics.

Data Analytics and Data Science Skills:

Advanced SQL & Databases | Python (Pandas, NumPy, Matplotlib, Seaborn, Sklearn) | Data Visualization (Tableau)

Retention Analysis | A/B Testing | Customer Segmentation | Regression Analysis

Unsupervised Learning: K-means, hierarchical clustering, DBSCAN, recommender systems

Supervised Learning: Regression & forecasting models, classification models