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Oleksandra Mieshkova

Oleksandra Mieshkova

Data Scientist

Fintech Farm | Canada

Technologies

My Portfolio Highlights

My New Course

Manipulating Time Series Data in Python

My New Course

Manipulating Time Series Data in Python

Data conductor, leading the orchestra of insights with analytical finesse.

My Work

Take a look at my latest work.

DataLab

Competition - Everyone Can Learn Python Scholarship

DataLab

Predicting Credit Card Approvals

DataLab

Employee Network Analysis

2Upvotes
DataLab

Competition - Everyone Can Learn Python Scholarship

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Intermediate Python
Working with the OpenAI API
Introduction to R

My Work Experience

Where I've interned and worked during my career.

Fintech Farm | Sep 2025 - Present

Data Scientist

- Architected and validated end-to-end credit risk scoring frameworks across multiple product segments, ensuring stable out-of-time performance and consistent risk ranking. - Designed a production monitoring system (Gini, bad rate trends, PSI, segment stability, drift diagnostics) to detect model degradation and portfolio risk shifts. - Built efficient SQL feature pipelines (ClickHouse) to aggregate behavioral signals from payment history, delinquency patterns, and credit inquiry data. - Conducted detailed data quality checks, including null handling and aggregation validation, improving the accuracy and reliability of risk reporting. - Collaborated with Risk and Product teams to translate analytical insights into updates to credit policies, limit strategies, and overall risk management.
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Fastback Refunds | Mar 2024 - Aug 2025

Data Scientist

- Conceptualized and constructed automated data pipelines with Python and SQL, improving end-to-end data processing efficiency by 40% and enabling faster quality assurance cycles for 10+ data processes. - Leveraged web scraping techniques to enrich datasets with external sources, strengthening model resilience and behavioral insight. - Integrated OpenAI models for HTML page parsing, shipment label extraction, and entity matching, improving data accuracy and reducing manual input by 60%. - Enhanced fraud detection and credit evaluation models, achieving a 25% boost in predictive performance. - Engineered internal dashboards in Looker and BigQuery to monitor business KPIs and compliance metrics, reducing manual oversight by 50%. - Upheld data governance standards and supported operational decision-making through timely insights and advanced analytics.

Imberg Consulting | Jun 2018 - Jul 2019

Data Scientist

- Implemented efficient processes for financial data processing and analysis, reducing manual tasks and improving data accuracy. This streamlined approach positively impacted project timelines and resource allocation, boosting efficiency in financial operations. - Designed and documented algorithms to optimize functions and SQL queries in Oracle Database, resulting in faster query performance and improved data organization. This enhanced data management processes. - Constructed mathematical models for strategic decisions in finance, providing actionable insights for investment strategies and risk management. This improved financial outcomes and decision-making within the organization. - Created proposals to optimize control risks, improving the efficiency and effectiveness of risk management strategies. These proposals facilitated better risk assessment and mitigation, strengthening the organization's risk management practices.

Aventus Group | Mar 2017 - Aug 2017

Risk Analyst

- Developed a strategic framework for creating predictive models, resulting in accurate trend forecasting and better resource allocation. This approach enabled proactive planning based on data-driven insights, improving operational efficiency. - Collaborated on integrating computer science techniques into projects, enhancing information use and project outcomes across sectors. - Used R and Python to implement credit card risk scoring models, improving risk assessment accuracy and financial stability. This initiative minimized potential losses and strengthened risk management practices. - Proficiently managed relational databases with PostgreSQL, improving data storage, retrieval, and reporting efficiency for better operational processes and informed decision-making.

Moneyveo.ua | Jan 2016 - Mar 2017

Risk Analyst

- Created and applied advanced mathematical models in finance, improving the accuracy and efficiency of financial analysis. These models facilitated data-driven decision-making, enhancing investment strategies and risk assessment. - Utilized R and Python programming to develop innovative risk management solutions. By automating complex calculations, these solutions streamlined risk assessment processes, enabling quicker identification and mitigation of financial risks. - Analyzed user behavior metrics in loan portfolios, identifying trends for intervention. These insights guided user-centric strategies for optimal portfolio management. - Demonstrated a commitment to continuous learning by staying updated on the latest developments in computer science and finance. This dedication facilitated the integration of new techniques and methodologies, keeping the organization ahead in industry advancements.

PrivatBank | Jan 2012 - Jan 2016

Data Scientist, Lead Analyst in Risk Management

- Managed structured, semi-structured, and unstructured data, extracting insights for informed decision-making across different scenarios. - Oversaw data flow critical for credit risk analysis, proactively mitigating risks and ensuring financial stability. - Identified and prioritized key threats and business risks, leading to targeted risk management efforts. - Translated complex business challenges into actionable Data Science projects, delivering solutions that addressed organizational needs. - Utilized MySQL for Data Analysis and reporting, employing R and Python to develop ML models for valuable insights. - Developed credit risk policies and procedures, building scoring models using SAS Guide/Miner, Python, and R.

Cupid plc | Aug 2011 - Jan 2012

Product Analyst

- Analysis of monthly financial results to identify trends and compared to quarterly forecasts and annual financial plan to explain any variances. - Development SQL queries to extract data from a large database associated with dating utilizing proprietary data mining software. - Work with SQL Server Analysis Services (SSAS) that delivers Online Analytical Processing (OLAP) and Data Mining functionality for business intelligence. - Exploratory Data Analysis and Data Mining with Tableau and MS Excel. - Report generation and dashboarding using Tableau and QlikView, writing analytical articles.

My Education

Take a look at my formal education

Master's Degree, System Analyst and Researcher in Applied MathematicsClassical Private University | 2011

About Me

Oleksandra Mieshkova

Results-driven Data Scientist with a robust academic background and extensive experience delivering over 20 data-driven solutions across sectors such as Risk Management, Fintech, and Insurance. Skilled in tackling complex analytical challenges and pr

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