gudvin13

Data Analyst/ Scientist

Partnered with cross functional teams on tasks, brainstormed and developed technical specifications and delegated follow up tasks to the related software/ML team.
Investigated several significant fraud incidents, implemented new preventive algorithms and enhanced mechanisms that allowed to significantly reduce the proportion of fraud.
Responsible and diligent, with excellent in-depth analytical, organizational, and problem solving abilities. Eager to work as a data analyst developing and implementing cutting edge solutions, based on mathematics, statistics and massive data sets


Experience: 5 years

Yearly salary: $90,000

Hourly rate: $50

Nationality: 🌏 Remote

Residency: 🌏 Remote


Experience

Data/ risk analyst
495credit
2023 - 2023
- Administrated, developed and monitored ETL processes - Validated, analysed and processed large volumes of customer data - Conducted qualitative and quantitative analysis and calculated key indicators of customer behavior - Performed anti-fraud/risk analysis, established the most informative and effective solutions for reducing the share of fraudsters - Calculated FPD, LTV, Retention at the level of a client and contract - Initiated client segmentation (cluster analysis) - Designed and developed A/B tests - Integrated data visualisation using Power BI and JupyterLab (seaborn, plotly, matplotlib) - Parsed XML/HTML/JSON files - Initiated and monitored the development of an in-house scoring model for determining the most important features of a client - Oversaw significant changes - model was proved to be 23% more effective than third party scoring services
Data/ product analyst
IT Smart Finance
2023 - 2024
Top 10 FinTech companies - Estimated and forecasted the cost-effectiveness of introducing features and integrating new product features - Collected and analysed large volumes of data for development of new features (PostgreSQL, Python) - Performed cohort analysis - Delegated subtasks of complex projects to junior analysts - Designed and enhanced the system of product performance metrics, integrated new improving features - Launched visualisation dashboards, administrated them in an up-to-date (PowerBI) - Partnered and guided the product team to interpret data and make decisions based on such - Delivered the results to the Product Manager - Administrated and forecasted the dynamic of metrics (recovery, retention, return, LTV, churn rate, etc.) - Identified key factors that affected metrics and the opportunities for changing them - Performed analysis and calculation of key indicators of customer behavior, antifraud/risk analytics, introduced the most informative and effective solutions - As a result, lowered the profoption of fraudsters on certain channels by 7-9%
Data analyst
Venera
2021 - 2023
- Developed a relational database of clients, suppliers, materials, etc. from inception - Conducted the analysis of large data sets (SQL, Python) - Provided dashboards to the Director (JupyterLab) - Developed ML models for predicting customer outflow, clinic performance indicators - As a result of the landed solutions, the clinic increased its profit by 11%, and reduced its expenses by 13%

Skills

data-science
data-viz
git
math
sql
stats
english