Nadya, Data Scientist, Data Analyst & BI

Predictive modeling data scientist experience

Probabilistic methods & Bayesian inference

• Bayesian inference (hierarchical models), Bayesian Networks, Gaussian Processes (incl. GP hazards, monotone links)
• MCMC (HMC/NUTS), SVI
• Diagnostics & calibration (R‑hat/ESS, reliability/Brier, isotonic)
• Conformal prediction & uncertainty quantification

PPLs & libraries

• PyTorch. TensorFlow, scikit‑learn, PyMC, TensorFlow Probability, Stan, pycox / scikit‑survival

Time series & forecasting

• Time‑series forecasting for hazards/risk
• State‑space models & filtering (e.g., Kalman/particle)

Data & scale

• Wrangling large messy clinical/claims/OCR’d datasets, Missing data & censoring (MICE/IPCW/etc.)
• Feature stores & evaluators (Feast or custom)
• Distributed compute (Dask/Spark)

Model engineering & reproducibility

• Reproducible pipelines (MLflow/DVC/W&B)
• Testing: data/feature‑leakage controls

Domain knowledge

• Survival modeling in life insurance/life settlements, How survival PDFs feed policy DCF/NAV & fund constraints
• Actuarial basics (mortality tables, DCF/NAV)
• Finances, Retail, Real Estate

Commercial Experience

Prompt Engineering and Data Science Analyst, NDA

2024 - now

DATA SCIENCE & ANALYST, Real Estate

May 2021 - 2024

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 

Overview: Next-generation consumer goods company reimagining how the world’s most-loved products become accessible to everyone. We use a deep understanding of rankings, ratings, and reviews to identify and acquire quality brands and use world-class expertise and data science to make their products better or create new ones to meet changing customer demand.

Responsibilities:

• 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)
• Create and support ELT data pipelines built on Snowflake and DBT while ensuring high-quality data
• Develop and deploy data warehousing models, and support existing processes/ETLs (extract/transform/load), and functions (in Python/SQL/DBT) in a cloud data warehouse environment using Snowflake, AWS services 
• SQL statements and developing in Python, Design and develop data pipelines (DAGs). Automation tests. 

Technologies: Sisense BI, AirFlow, ETL, ElasticSearch, Snowflake, Python, SQL, DBT, Pandas, AWS S3, Medallion Architecture, MySQL, Hadoop, Spark, GitLab CI/CD, Kubernetes, LDAP, Automation Test, Pytest, Snowflake Schema, Dimensional Modeling, ER Diagrams.

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.

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