Position: Data Analyst
Category: Data Science
English level: upper
Years of experience: 0.5


- Worked on Risk & Data Analysis department in Kaspi Business. The team is responsible for the connection of partners on shop of Kaspi.kz and for the fraud transactions and fraud partners, also for the business loan.
- Collected parameters on SQL for setting rules in order to stop self-financing of partners with bonus payment. Sent to the system of Bank for realization of rules.
- Checked 11 triggers of Kaspi shop that work on system for catching fraud partners. Built this logic on SQL and saw the statistics of coverage of frauds.
- Taught and supervised up to 21 students to study basics of programming on Python at one of the best universities in Kazakhstan. Covered basic data types including arrays, conditional statements and loops on Python.
- Held weekly office hours and responsible for grading of assignments and exam.
- Supervised up to 11 students from various universities to study and prepare algorithms & data structures, databases. - Covered basic topics related to C++. Taught complex data structures and algorithms including linked list, stack, queue and linear search, binary search. Students solved several algorithmic problems.
- Taught and considered introduction to databases. Covered basic understanding of DDL, DML.
- Analyzed Netflix Movies and TV Shows dataset from Kaggle.
-Analyzed 8807 rows and 12 columns of Tabular Data with Pandas.
-Fixed any missing or incorrect values with Pandas.
-Visualized the majority columns of dataset with Matplotlib and Seaborn.
-Connected to MySQL Server and created Database with Python library.
-Imported all CSV data into Database with Python.