- Python: NumPy, SymPy, SciPy, Pandas, Seaborn, Matplotlib
- SQL: DML (Subquery, JOIN, GROUP BY), DDL
- MS Excel: VLOOKUP, PivotTables, Power Query, Power Pivot, VBA (basic)
- Google Sheets
- Power BI, Tableau (basic)
- Git, Docker (basic)
During the interviews, I solved problems using certain analytics tools. You can get acquainted about it in the corresponding repository.
Job Position | Company | Department \ Division | Work Period |
---|---|---|---|
System Analyst | Nestlé | Sales Dpt. \ Reporting Div. | 08.2024 - present |
Sales Suppor Analyst | Nestlé | Sales Dpt. \ Reporting Div. | 04.2024 - 08.2024 |
Junior Sales Suppor Analyst | Nestlé | Sales Dpt. \ Reporting Div. | 12.2022 - 04.2024 |
Trainee Data Analyst | Nestlé | Sales Dpt. \ Reporting Div. | 06.2022 - 12.2022 |
Intern Analyst | EVA Technologies | Analytics | 11.2020 - 03.2021 |
- Bachelor's degree in Mathematics at Peoples' Friendship University of Russia (2017 - 2021)
- Diploma thesis: "Mathematical Modeling of Autowave Processes"
- Courseworks:
- Mathematical analysis: "Approximate Calculation of Integrals: Midpoint, Trapezoid, Simpson's rule"
- Algebra: "Pell's equation"
- Differential equations: "Bernoulli's Equation"
- Operational Analytics in MS Excel
- Excel Power Tools for Data Analysis
- IBM Data Science Specialization
- Telegram: @proshlil
- E-mail: prosh-liliya@mail.ru