Natalia Grishchenko
Finance Expert
Warsaw, Poland
Skills
Data Science
About
Natalia Grishchenko's skills align with IT R&D Professionals (Information and Communication Technology). Natalia also has skills associated with Insurance & Finance Managers (Insurance and Finance). Natalia Grishchenko has 8 years of work experience.
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Work Experience
Institute of Social Policy, High School of Economics
December 2018 - January 2022
Leading Analyst & Lecturer
Laboratory of Forecasting, Novosibirsk State University of Economics and Management
December 2015 - January 2018
- Acting as a key contributor to all phases of the design and development lifecycle of analytic applications and studies in: Social Policy Programs in E-Government, Pension Insurance, HealthCare Insurance, Long-Term Care, Social Capital, Demography, the Covid-19 pandemic, Social Geography and Digital Economy: Productivity, ICTs, Digital Development, Digital Divide, Skills, Users, Connectivity, Telemedicine, Digital Geography, Financial Behavior with data-based results and publications in English, Russian, Polish, and French. Serve as a subject matter expert in studies' field, data science and analytics research, and adopt the new tooling and methodologies for evaluating and applying best practices. Creating customized solutions and initiatives that go beyond the standard and lead to innovative solutions. Working with complex datasets from variety of internal and external data sources. Building predictive models and forecasting. Utilizing statistical modeling and predictive analytics to forecast. Data visualization, reporting and publishing. Strong publication records.
Economist & Leading Analyst
Insurance company Spacckie Vorota
December 2005 - January 2009
- Developing and implementing analytic solutions for the new insurance products in life and healthcare insurance. Leading a team from the marketing, software, regional development departments to develop new insurance products. Collaborates with business partners to identify clients' segments and develop actionable existing and new products that identify patterns related to quality, usage, cost and other variables. Applying actuarial, financial and insurance data and calculations. Translate data into insights and recommendations. Measuring the impact of solutions and products on the business of the company, partners, and customers. Portfolio On request.