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Senior
Registration: 24.02.2023

Maria Shirokolobova

Specialization: Data Scientist / Analyst
Data Scientist/Analyst with 10+ years of experience in Life&Science, Investments, Oil&Gas, and various other domains. My expertise is taking over advanced statistical algorithms, machine learning, predictive modeling, data processing, and data mining. This skill set enables me to conduct sophisticated data analysis and enhances my overall productivity. Certifications: Software Testing Foundations:Testing throughout the SDLC. CSSLP Cert Prep: 4 SecureSoftware Implementation. Quantum Mechanics. Characteristics of a Great ScrumMaster. Game Theory II: AdvancedApplications.. Honors-Awards: - The Winner of the competition foryoung scientists, young candidatesof sciences of universities, industryand academic institutions located onthe territory of St. Petersburg. - Member of the group of highprofessional potential (personnelreserve) - The Winner of the competition for thebest scientific publication of studentsof the European University at St.Petersburg. - BP Scholarship. Publications: - Differential Game of Oil Market withMoving Informational Horizon andNon-Transferable Utility. - Non-cooperative Differential GameModel of Oil Market with LookingForward Approach.
Data Scientist/Analyst with 10+ years of experience in Life&Science, Investments, Oil&Gas, and various other domains. My expertise is taking over advanced statistical algorithms, machine learning, predictive modeling, data processing, and data mining. This skill set enables me to conduct sophisticated data analysis and enhances my overall productivity. Certifications: Software Testing Foundations:Testing throughout the SDLC. CSSLP Cert Prep: 4 SecureSoftware Implementation. Quantum Mechanics. Characteristics of a Great ScrumMaster. Game Theory II: AdvancedApplications.. Honors-Awards: - The Winner of the competition foryoung scientists, young candidatesof sciences of universities, industryand academic institutions located onthe territory of St. Petersburg. - Member of the group of highprofessional potential (personnelreserve) - The Winner of the competition for thebest scientific publication of studentsof the European University at St.Petersburg. - BP Scholarship. Publications: - Differential Game of Oil Market withMoving Informational Horizon andNon-Transferable Utility. - Non-cooperative Differential GameModel of Oil Market with LookingForward Approach.

Portfolio

NBS-CDH for Novartis

Propagating multiple sales data sources

NBS-ICA for Novartis

Building dashboards for internal and external risk area data

NBS-PDL for Novartis

Building Data Lake for procurement business area

Skills

Python
SQL
Machine Learning
Key Performance Indicators
Databases
Snowflake
Big Data

Work experience

Senior Lecturer
09.2021 - 04.2022 |Kuban State Agrarian University
Economics, Econometrics, Mathematics, Machine Learning, Big Data, PySpark
Conducting lectures and seminars on econometrics.
Senior BI and Data Analyst
since 03.2021 - Till the present day |EPAM Systems
SnowFlake, Tableau, Scrum, Python, SQL, AWS, SDLC, Software Testing, Agile Application Development
Communication with customers, discovery, conflict management, requirements elicitation, teamwork, delegation, prioritization, knowledge transfer sessions, mentoring, data modeling, data profiling, source-to-target mapping, etc.
Data Engineer
11.2020 - 06.2022 |ITMO University
Python, Docker, Kubernetes, Apache Kafka, MongoDB, PySpark, SQL
Analyze and organize raw data, build data systems and pipelines, evaluate business needs and objectives, interpret trends and patterns, conduct complex data analysis and report on results, prepare data for prescriptive and predictive modeling, build algorithms and prototypes, combine raw information from different sources, explore ways to enhance data quality and reliability, develop analytical tools and programs.
Data Scientist and Big Data Analyst
09.2019 - 04.2021 |Samolet Group
Scrum, Git, Kanban, Jira, Big Data, PySpark, Python, SQL
Data mining, data preprocessing, descriptive analysis, and predictive analysis for game theory tender optimization, real estate price prediction, and NPS model.
Lead Economist and Data Scientist
10.2017 - 09.2019 |Central Bank of the Russian Federation
Big Data, PySpark, R, Python
- Descriptive, diagnostic, predictive, and prescriptive analysis of economic and statistical data to support decision-making on monetary policy; - Preparation of special publications on monetary policy; - Analysis of the needs of economic agents in financial instruments and services; - Monitoring the level of development and competition of financial organizations and financial instruments, as well as the preparation of proposals for improvement; - Data mining, data preprocessing, data analysis, and data modeling to predict inflation and other macroeconomic indicators.
Senior Lecturer
04.2017 - 02.2020 |Higher School of Economics
.
Scientific activities (conducting research and publishing articles), teaching (conducting seminars for the course on "Economics of the Public Sector", writing requirements and a plan for research and undergraduate practice for students, conducting practice defense).

Educational background

Big Data and Machine Learning (Masters Degree)
2020 - 2022
ITMO University
Financial Economics
2012 - 2014
European University at Saint Petersburg

Languages

EnglishAdvancedRussianAdvancedSpanishElementaryFinnishElementary