Position: Data Scientist
Category: Data Analyst
English level: fluent
Years of experience: 3

• Utilized Tableau to analyze sales and income KPIs and delivered insightful reports to 7+ stakeholders, contributing to a 15% increase in sales and a 20% boost in revenue.
• Achieved a 12% YoY increase in customer acquisition by developing and operationalizing multivariate regression models that accurately predict portfolio losses based on macroeconomic forecasts.
• Led the end-to-end development of predictive models by creating SQL databases, automating data queries using ETL, performing imputation, normalization, preprocessing (utilizing PCA and PCR), and optimizing the models to enable effective product analysis.
• Implemented a Data MART that efficiently processed and organized daily data sets of up to 15 million rows and pivoted to a Revenue Fact Table for Bank products such as mortgage, cash credits, credit cards and etc.
• Mentored and supervised 3 interns in conducting research on evaluation metrics, variable selections, and cross-validation visualization dashboard, resulting in widely adoption by multiple teams across the Bank. The success of the research led to the interns being offered full-time positions.
Data Cleaning on Electricity Usage Data with Python
In this project, I have been provided with data on Electricity Provider
Company. As data was in an unstructured and unsorted format I had to clean data and turn it into a usable format. My second task was to select an optimal contract based on usage history.

Prepared Weekly KPI performance Analysis dashboards: KPI list as Parameter, Weekly time plot of each KPI, List top 5 tariffs for each KPI and growth rate for each of them in the last week, Daily
performance of each KPI in the last week, Total amount of KPI in the last week, KPI growth in the last week
Analytically minded and proactive Data Analyst with 3+ years of industry experience, adept at collaborating with cross-functional teams to deliver accurate and reliable data-driven insights for high-impact projects.