Position: Data Analyst / Product Analyst
Category: Data Analyst
English level: upper
Years of experience: 1

Below my the most significant achievements from the latest place of work (brightfin):
1) Ardent Health Services: Onboarding of new billing accounts
Ardent Health - one of the biggest healthcare group in US.

Problem: AHS has lots of local departments (facilities) which pay invoices by themselves (lot of missing invoices, late payments fees…) > AHS doesn't have visibility of charges and cannot manage it.

Task: integrate new billing accounts that were processed by local departments to brightfin system.

Result: +334 new accounts in 3 months, total monthly amount $650K. Full visibility of charges and allow payment on corporate level.


2) Nokia: Inventory reconciliation & clearance
Problem: due to inaccuracy of downloaded data to the system (data sources, incorrect uploads) and absence of data audit  > mess in the inventory (85k records): duplicates, blank records...

Task: to clean up inventory and make reconciliation.

Result: clear inventory in 3 months +founded mismatches in golden source
MY THE LATEST WORK EXPERIENCE:
brightfin | software provider of TEM and ITFM solutions for enterprises
Service Delivery Specialist | 08.2022 – 05.2023
- working closely with Client Delivery Manager. Back up DM.
- manage operational tasks.
- preparing presentations and reports (QBR, savings reports, etc.).
- handling weekly / ad-hoc calls with projects’ stakeholders.
- collaboration with R&D, Implementation, Ops departments.

Data Quality Analyst | 09.2021 – 07.2022
- data quality check.
- data audit (detect, analyze, and resolve discrepancies).
- participating in calls with customers.
- preparing documentation (guides, comparison spreadsheets)


EDUCATION:
Kyiv National Economic University | Finance

ADDITION COURSES:
Lemberg Solutions: Data Science Camp 2023
DAN.IT: BI (Data Analytics) Course


MY DATA ANALYTICS PROJECTS:
1) Hospitalization Hypothesis Testing. This project represents analytics research and hypothesis testing of COVID injured patients of Apollo Hospital. 
Main goals are to find out which factors are significant in predicting the viral load for different regions of Delhi and understand how well some factors like viral load, smoking, and severity level describe the hospitalization charges.

Tech. used:
Python: NumPy, Pandas, SciPy, Statsmodels, Matplotlib, Seaborn
Statistics: T-Test, Multi-factors ANOVA, Regression, Tukey HSD, Shapiro-Wilk, Levene's Test

2) Airbnb Market Analysis. The goal of this project is to analyze, understand, visualize, and communicate the demand from guests and hosts' supply in Dublin.

Tech. used:
Python: NumPy, Pandas, Matplotlib, Seaborn

3) Pizza Restaurant Ops Report. Goal of this project is to build dashboard for Operation Manager of Pizza Restaurant to improve operations and visibility of the restaurant performance.

Tech. used:
PowerBI: PowerQuery, DAX, Dashboard design and interaction