B2C Product Metrics: Monitored and analyzed key product metrics for consumer-facing applications to enhance user experience and engagement. Event Tracking: Implemented and maintained comprehensive event tracking systems to capture user interactions and behavior within the app. Reporting and Dashboards: Developed detailed reports and interactive dashboards, providing actionable insights for product teams and stakeholders to drive data-informed decisions. Performance Analysis: Conducted in-depth analyses of product performance, identifying trends and areas for improvement to support business goals. Collaboration: Worked closely with cross-functional teams, including product managers, developers, and marketing, to align data strategies with business objectives.

Investigated the demand situation in Brisbane and Melbourne and found that to achieve a 50% supply level, an average order-to-driver ratio of 7-9 to 1 was required. Consequently, the app in driver mode now offers the option to ”Send seven offers. This is how many it usually takes to get the first order”. · Successfully isolated error rates specific to Google Pay and Apple Pay within a previously merged payment dataset. Added 4 metrics, resulted in enhanced insights for pinpointing and addressing issues. · Analyzed data to estimate the number of drivers needed in Miami for 5-minute pickup times, considering cities with similar characteristics. · Examined the percentage of passengers who repeatedly create and cancel identical orders before driver acceptance, potentially impacting driver satisfaction levels. Stack: Python 3, Presto, Pandas, Numpy, Tableau, BigQuery

Collaborated with the team to suggest a logic change in failure formation, resulting in a note- worthy 5% increase in Approval Rate.

Engaged in ”Kazakhstan Railway” projects, including the successful transition of 2 substantial reports onto a new platform.

Junior Data Miner Kaspi.kz - Reconciliation, uploading, data analysis and reporting - Build predictive models by products - Work with large volumes of data. - Work closely with business customers - Data Mining - Tasks management using Jira

Kaspi.kz - Development of data loading procedures (ETL) in Oracle Exadata database, PL / SQL - Model development, analysis and reporting in Oracle BI - Work with large volumes of data, optimization of loading procedures and data transformation. - Analysis of the causes of software errors, elimination of software defects. - Tasks management using Jira - Formation of xml-files for sending to the National Bank of the Republic of Kazakhstan.

Kaspi.kz - Data analysis - Basics of Excel - Applied Analytics Using SAS Enterprise - SAS Enterprise Guide - Data Mining - Linear regression - Construction of classification models

Successfully covered basics of Data Analysis in R - Successfully covered basics of php - Successfully covered basics of laravel - Challenged and Solved problems of company via 1C and android app