Sofiia Romanovska

mailto:sofiia.romanovska@gmail.com

UVIC, Math and Stats Department

3800 Finnerty Rd, Victoria, BC V8P 5C2                

 

EDUCATION AND TRAINING

2017-2019

(expected)

 

 

 

2013-2017

 

University of Victoria

Masters Degree, Applied Statistics, Department of Mathematics and Statistics

MITACS scholarship, Uvic graduate studies award

Supervisor: Laura Cowen

 

Institute of Applied System Analysis, National Technical University of Ukraine “Kyiv Polytechnic Institute” (Kyiv, Ukraine)

Bachelor’s Degree, Systems and Methods of Decision-Making

 

July 2016

International Summer Institute for Business Management, Gustavson School of Business, University of Victoria (Victoria, British Columbia)

Certificate of Completion, 6.0 credit hours (12 ECTS)

Modules passed:_Business Communication (A+, Award for the Best New Venture Project); International Business; Entrepreneurship; Service Management (A+)

 

2008-2013

Lyceum of Information Technologies, Oles Honchar Dnipropetrovsk National University (Dnipro, Ukraine)

Secondary Degree with Honors, IT and Mathematics stream

 

2002-2008

Secondary Eco-Economic School No 67 (Dnipro, Ukraine)

 

Independent Coursework:

-       Data Visualization and Communication with Tableau (Duke University on Coursera Platform, May 2016)

-       Introduction to Data Science, Business Analytics and Artificial Intelligence (UKU&IBM Canada, February 2016)

-       Data Science Track: The Data Scientist Toolbox, Getting and Cleansing Data, R Programming (Johns Hopkins University on Coursera Platform, 2014-2015)

Technical skills:

-       Programming in C#/C++, Pascal, HTML, website architecture and modeling

-       Practical experience with SPSS Statistics, R, GeNIE, Netica, Matlab, R, SQL, Tableau Desktop, MS Excel and all products of MS Office; database management (MS SQL, MS Access)

-       Basic understanding of SAS Base, Oracle, Java

RELEVANT EXPERIENCE AND SKILLS

“Evaluating citizen science Golden Eagle migration data collected by the Rocky Mountain Eagle Research Foundation, Mount Lorette, Alberta 1993-2018” graduate Project

Objective: Evaluate the quality of Citizen Science data, collected by volunteers.

 “Development of the Decision-Making System for the Prediction of Exchange Rates Trajectories, Based on the Monte-Carlo Simulation Algorithm”, Graduate Thesis at Kyiv Polytechnic Institute, May 2017

Objective: Design and develop in C# a system that, after populating it with existing portfolio data, will evaluate and forecast the value and VaR of each currency position, as well as provide recommendations for portfolio rebalancing

Methods/Tools applied: Modified Monte Carlo Simulation Method (8-step); Modelling of Market Exchange Rates on the basis of Geometric Brownian motion; Cholesky Decomposition for the Correlations of Exchange rates; Regression Modelling; Simulation-based optimization; Programming in C#

 

Course Project “Using Bayesian Models to Estimate the Economic Conditions of Enterprises”, Mathematical Economics Course, Spring 2016

 

Team lead; publicly defended the project’s findings

Objective: Predict the probability of the financial default of given organizations on the basis of real financial data

Methods/Tools applied: Modeling and Prediction of Nonlinear Processes, Bayesian Forecasting Methods, Building of Bayesian Networks; Use of GeNIe and Netica software

 

Final Project,  Financial Consulting Course, Institute of Applied System Analysis Case Club, 2016

-        Objective: Evaluate actual market price of Ukrtelecom (Ukrainian telecommunications company) on the basis of real accounting data

-        Methods/Tools applied: Quantitative and Qualitative Research of Ukrtelecom’s activities, Accounting Analytics (Ratios and Forecasting, DuPont Analysis, Earnings Management, Discretionary Accruals Models, Cash Flows and Net Present Value analysis); Preparation of consulting report

Course Paper “Statistical Methods and Techniques in Solving Socioeconomic Problems”, 2015

Objective: Research and process real financial data, develop forecasts of particular financial indicators (such as Adjusted Closing Price) through the use of time-series analysis

Methods/Tools applied: Data Processing including filling the blanks and data discretization; Developing Decision Trees through the methods of CHAID (5 levels) and CRT (3 levels), Logistic Regression and Probit Model; Use of IBM SPSS predictive analytics software

 

“Case Champ” Analytical Competition, Institute of Applied System Analysis Case Club, 2013-2014

Led a group of four people, was responsible for the final presentation; Top 20 Speakers Award in oral rounds

Objective: Assess market position of Coca-Cola, provide strategic solutions to increase enterprise profitability

Methods/Tools applied: Cross-disciplinary research, collecting and analyzing unstructured data from main company markets (North and South America & Eurasia), Predicting Future state, decreasing uncertainty levels, Building STEP, Porter, and SWAT models

INTERPERSONAL SKILLS/HOBBIES:

-        Interpersonal Skills: Advanced Research/Analytics skills, High Adaptability, Exceling in both Leadership&Teamwork, Excellent Communication, Presentation and Persuasion Skills, Ability to Stay Efficient Under Pressure, Optimism.

-        Hobbies: Tennis, Snowboarding, Boxing, Dancing, Sprint Running, Singing, Travelling (15 countries so far).