Nadya, Data Scientist, Data Analyst & BI

Data Analyst (DA), Data Engineer, Data Science, Business Intelligence (BI)
english C2 (Proficiency) English
seniority Senior (5-10 years)
location Ukraine UTC+02:00

Summary

- 10+ years in Forecasting, Analytics & Math Modelling
- 8 years in Business Analytics and Economic Processes Modelling
- 5 years in Data Science
- 5 years in Financial Forecasting Systems
- Master of Statistics and Probability Theory (diploma with honours), PhD (ABD)
- BSc in Finance
- Strong knowledge of Math & Statistics
- Strong knowledge of R, Python, VBA
- Strong knowledge of PostgreSQL and MS SQL Server
- 3 years in Web Development: Knowledge of C#, .Net and JavaScript for web development
- Self-motivated, conscientious, accountable, addicted to data processing, analysis & forecasting
- Engineering, Understanding AI and LLMs

Main Skills

Data Analysis, Data Scientist, Data Analyst & BI

Data Analysis 10 yr.

Python, Data Scientist, Data Analyst & BI

Python

Prompt Engineering, Data Scientist, Data Analyst & BI

Prompt Engineering

Programming Languages

AI & Machine Learning

.NET Platform

ASP.NET Core Framework ASP.NET MVC Pattern Entity Framework

R Libraries and Tools

caret dplyr rEDM tidyr

JavaScript Libraries and Tools

dash.js

Python Frameworks

Python Libraries and Tools

Matplotlib NLTK NumPy Pandas Plotly SciPy TensorFlow

R Frameworks

Shiny

Data Analysis and Visualization Technologies

Basic Statistical Models Chaos Theory Cluster Analysis Data Analysis 10 yr. Decision Tree Factor Analysis Jupyter Notebook Linear and Nonlinear Optimization Logistic regression Multi-Models Forecasting Systems Nearest Neighbors Nonlinear Dynamics Modelling Own Development Forecasting Algorithms Pandas Principal Component Analysis Random Forest Ridge Regression

Databases & Management Systems / ORM

Cloud Platforms, Services & Computing

Third Party Tools / IDEs / SDK / Services

Anaconda Atom R Studio Visual Studio

Version Control

Git

SDK / API and Integrations

RESTful API

Operating Systems

Windows
ID: 100-004-655
Last Updated: 2025-07-28

Experience:

DATA SCIENCE & ANALYST, Real Estate

May 2021 - Now

Forecasting of real estate pricing:

  • Regression analysis for trends
  • Moving windows to consider mostly the newest history
  • Seasonal analysis
  • Microcycles and large- and medium economical cycles analysis using Fourier approach and patterns recognition

Technologies: Python, python libraries: pandas, numpy, sklearn, scipy, seaborn, matplotlib, plotly

DATA ANALYST, AMAZON FBA PROJECT

July 2020 - April 2021 

Company with over 15,000 best-selling products across multiple categories and marketplaces.

  • Development of Analytical Dashboards
  • ETL implementation for returns and orders data
  • Data cleaning, validation, reconciliation
  • Preparing of BI Reports using Periscope based on AWS
  • Building causal impact estimation for significant sales dynamics changes

Technologies: Periscope, SQL, Python (Pandas, NumPy, Plotly), R (CausalImpact)

DATA SCIENTIST, DEVELOPER & PROJECT MANAGER

March 2018 – 2020

Responsibilities:

  • Development of Analytical Platform using Nonlinear Dynamical approach and NLP combined
  • Preparing of BI Reports using Periscope based on AWS
  • Development, implementation, support and enhancement of forecasting systems for cryptos, metals and currencies basing on nonlinear dynamics models; creation of own nonlinear forecasting algorithms
  • Work on Adverts parsing and processing projects
  • Development of interactive 3D Globe for Economic Data Visualization
  • Developing Web applications on ASP.NET Core – e.g. Web API, EF for the following systems:
    • Medical data storage system
    • Financial flows system
    • Global hotels booking system
  • Development of interfaces for booking portals
  • Different projects for website optimization and development

Technologies: Python (Pandas, NumPy, Plotly, NLTK, Matplotlib, SciPy, TensorFlow, Dash, Flask, etc.), R (Shiny, dplyr, tidyr, caret, rEDM, etc.), C#, Elixir, JavaScript, Microsoft SQL Server

SENIOR MATHEMATICIAN, DATA SCIENTIST

August 2016 – February 2018

Responsibilities:

  • Development, implementation, support and enhancement of forecasting systems for sales indices
  • Creation of analytical and forecasting products basing on multi-dimensional nonlinear forecasting, multi-models forecasting systems, nearest neighbors, ridge regression, logistic regression, random forest, cluster analysis, factor analysis, principal component analysis
  • Preparing multiple decks on the project results for the clients

Technologies: R (Shiny, caret, rEDM, etc.), Python (Pandas, NumPy, Matplotlib, SciPy), PostgreSQL

PROJECT MANAGER, ECONOMIC PROCESSES MODELING EXPERT

March 2008 – August 2016

Responsibilities:

  • More than 30 successful industrial market research projects: market research and modeling, SWOT and COST analysis, market niches identification, market volumes and sales forecasting, etc.
  • Development and implementation of forecasting and classification systems for a number of subscribers for information & analytical products
  • Development and implementation of a nonlinear forecasting system for price forecasts
  • Construction of optimization models for industrial markets for deep analysis of structure and prospects of the markets
  • Development and implementation of the unique charts format (including Cost Curve and others) 
  • Participation in international conferences

Education

Oles Honchar Dnipro National University.

  • Mathematician (Statistics & Probability Theory) Master's degree 2003 – 2008; PhD (ABD), 2009 - 2013.
  • Economist (Enterprise Finances, Bachelor's degree) 2006 - 2009.