Position: Data Analyst
Category: Data Science
English level: upper
Years of experience: 3


- developed a customer segmentation model for an e-commerce company using K-means clustering, resulting in a 15% increase in sales through targeted marketing campaigns.

- Analyzed transaction data for a grocery store chain to identify frequent itemsets and association rules, leading to a 12% increase in revenue through optimized product placement.

- Predicted customer churn for a subscription-based service using logistic regression and decision trees, reducing the churn rate by 8% through targeted retention efforts.

created a dashboard in Tableau to display market basket analysis results for a grocery store chain, enabling managers to make data-driven decisions that resulted in a 7% increase in sales.

- analyzed credit score data to develop a predictive model for a financial institution, reducing default rates by 10% through improved risk assessment.

built a recommendation system for an online retailer using collaborative filtering, increasing average order value by 5% through personalized product recommendations.

- conducted sentiment analysis on customer reviews for a restaurant chain to identify areas for improvement, resulting in a 20% increase in positive reviews and customer satisfaction.

- Developed a machine learning model to predict housing prices in a particular area using regression techniques, providing real estate agents with more accurate pricing estimates and increasing sales by 10%.

- analyzed social media data to track brand sentiment and identify potential influencers for a marketing campaign, resulting in a 30% increase in engagement and brand awareness.
created visualizations in Power BI to communicate data insights to stakeholders for a business intelligence project, enabling the company to make informed decisions and improve efficiency by 15%.