Position: Data Analyst
Category: Data Science
English level: upper
Years of experience: 1

At my current job, I increased the forecast accuracy by an average of 2%, which helped to reduce costs.
Also developed a new forecasting tool, which helped to reduce the time required to prepare a forecast.

Passed several courses in ML\CV.
4 years experience in FMCG as Sales Analyst/Planner
During this time i did the following tasks:
- estimation of innovations performance;
- evaluation of price increases and promos impact;
- execution of analytical requests from the sales and marketing department;
- search, analysis and evaluation of factors that make most impact on products;
- automation of processes and reports;
- preparation of reports and presentations;
- mentoring newcomers;
- responsible for product hierarchy in the company.

Tasks with data:
- worked with SSAS (not as developer\admin), OLAP Cubes;
- transformed data using Python scripts;
- developed tools and reports using Excel, VBA, Access (data processing with SQL);
- worked with Power BI.

Tools:
- Excel (basic VBA, Power Query, Power Pivot, formulas);
- Python (Pandas, NumPy, basic level Matplotlib, Seaborn, Scikit-Learn);
- SQL (agg, union, joins, CTE, basic level window function) (unfortunately with SQL worked only in Access);
- Power BI (Data Modeling, Power Query);
- Have very basic knowledge in ML
It would be great to work in a friendly team on interesting tasks, where I can help in achieving the desired results.
Would be awesome to gain experience and work closely with ML\DL.

I don't have enough experience for Senior role, notice that please!