Nata L Data Analyst with BI and DE skills
Summary
- Oriented Data and Business Intelligence Analysis engineer with Data Engineering skills.
- 6+ years of experience with Tableau (Certified Tableau Engineer)
- Experience in Operations analysis, building charts & dashboards
- 20+ years of experience in data mining, data analysis, and data processing. Unifying data from many sources to create interactive, immersive dashboards and reports that provide actionable insights and drive business results.
- Adept with different SDLC methodologies: Waterfall, Agile SCRUM
- Knowledge of performing data analysis, data modeling, data mapping, batch data processing, and capable of generating reports using reporting tools such as Power BI (advanced), Sisence(Periscope) (expert), Tableau (Advanced), Data Studio (Advanced)
- Experience in writing SQL Queries, Big Query, Python, R, DAX to extract data and perform Data Analysis
- AWS, Redshift
- Combined expertise in data analysis with solid technical qualifications.
- Advanced English, Intermediate German
- Location: Germany
Experience
Operations Data Analysis w. BI, reports & charts development, Amazon e-Commerce Marketplace Aggregator
May 2020-present
Description: Designed and built data models (Redshift, SnowFlake), charts, and dashboards in Power BI and Periscope, responsible for being the source of truth for data that is core to the business and is leveraged by teams across the company. Worked closely with other teams (Supply Chain and Data Warehouse teams) to standardize data representations and visualizations.
Technologies: PostgreSQL, Redshift, Snowflake, Periscope, Tableau, Power BI.
Senior Data Engineer, Digital Hub Services Department (Automotive)
December 2019-May 2020
Description: Creating a Data lake and building reports for different levels of the Marketing department which provide analytical insights for all levels of data (starting from lead generation and ending with Customer Journey).
Responsibilities: Creating data pipelines for data ingestion, data pre-processing, performing requirement elicitation, building reports:
- Performed requirement elicitation, Developed User Requirements Specification. KPI matrix , Extensive data manipulation and analysis (Excel, Excel for Statistics, SQL),
- Processing large amounts of data including facts, figures, and number crunching, Data entry and auditing
- Compiling and organizing data from different Data Sources (DataLake, Excel Pivot Tables and CSV files etc.),
- Ensuring data accuracy and data integrity,
- Identifying trends and patterns of information,
- Data reporting, data visualization and Infographics creation,
- Applying statistical techniques and translating the results into information required by stakeholders,
- Created Reporting System for Marketing Department,
- Created Data Model and support for permanent data updating,
- Played mentor role for Stockholders in questions related to reports.
Key achievement: Created 10+ reports for different levels of marketing department that provide analytical insights for all levels of leads (starting from lead generation and ending with Customer Journey).
Technologies: Pentaho DI, Python, PostgreSQL, Oracle, Power BI, Tableau, DAX.
SOFTWARE ENGINEER, DA AND BI ANALYST, EPAM SYSTEM.
Software Engineering | 3.76 Billion,$ Turnover (2021) | ~58.800 empl. (2021)| US
05/2018 - 03/2020
CUSTOMER: Dow Jones, Business Information and Media
Conducting data analysis over the course of the 1st party data project which was aiming to assist Ads in supplying the data for building audience segments - perform DB research (CDP system, BigQuery) - BOK (book of knowledge): Source Factsheets, Source Data Analysis documentation - DG 1st party data usage restrictions and guidelines.
Data Scientist, Data Business Analyst, BI Analyst, QArea
December 2017-November 2019
Description:
Performed requirement elicitation, Developed User Requirements Specification, KPI matrix, Created Integrated Report System with Power BI tool, Played mentor role for Stockholder’s in questions related to Marketing/Staffing/Bench reports.
- Code quality control: Github analysis. Data analysis and data mining. Visualization.
- Business and Data Analysis: CreatingMarketing and Finance Integrated Report System: analyzing and extracting information from large amounts of both structured and unstructured data to help automate and optimize key processes design structured, multi-source data solutions to deliver dashboards and reports, built metrics and KPIs analytic dashboards.
Key achievement: Created 20+ reports that help to make a decision for different departments and management levels.
Data scientist, PerceptionBox
June 2017–November 2017
Description: Market analysis. Creating APIs for sentiment analysis and Personality Insights analysis.
Classifications: Mood and investment performance; Personality traits and Investment Performance; Behaviour finance.
Data scientist, Visiquate company
November 2014 –May 2017
Description: Data analysis and data mining. Development of algorithms for predicting: total payments. Tools Hybrid ARIMA Model for Time Series Prediction and Artificial Neural Network Multilayer Perceptron, R-language; denials.
Technologies: Random Forest Machine learning algorithm, Python.
Senior Research Assistant, National University for Radio and Electronics
September 2006 — December 2015
Description: Development of algorithms and neural network architectures for control systems and processes Adaptive, neural network, real-time systems; including problems related to identification, forecasting, clustering, diagnostics, and fault detection in technical, economical, medical, and ecological objects. Achievements: are reflected in publications (total of 42).
Post-doctoral researcher, Knowledge Media Laboratory, Graduate School of Engineering, Hokkaido University, Sapporo, Japan
October 2004 — November 2006
Description: Developing an agent-based system technology that combines principles of logic programming and fuzzy logic. Implementation: a task of Therapy Planning in clinical trials.
Project Coordinator (part-time), Germany
September 2001- August 2003
Description: Project management of software product development for Hotel solution development and sales
Responsibilities: product concept development
Education
- PhD Research work, DAAD Stipendium, Faculty of Computer Science and Automation
2001 – 2002
TU Ilmenau (Germany)
- State Technical University for Radio and Electronics (Ukraine)
Control Systems and Processes, Ph.D.
2001 - State Technical University for Radio and Electronics (Ukraine)
Computer Science, M.Sc.
1997
Certificates
- Microsoft Power BI Data Analyst (PL - 300)
2023 - Python for Data Science, LABA
2022 - Business Analysis, LABA
2020 - Advanced Power BI, LABA
May 2019 - Certificate of Completion The Complete SQL Bootcamp
December 12, 2018 - Tableau 10 A-Z: Hands-On Tableau Training For Data Science
February 22, 2018 - Cambridge English FCE
June 08, 2019
Academic Honors and Awards
- DAAD (German Academic Exchange Service)
Technical University, Ilmenau, the Faculty of Computer Science and Automation, Postgraduate student
2001-2002