Candidates 8
$2500 / mo
≈ $30000 / year net
BI Developer/ BI Analyst
Ukraine · Kyiv · 3 years of experience · Upper-Intermediate ·Published 18 April
Ukraine · Kyiv · 3 years of experience · Upper-Intermediate ·Published 18 April
Led the migration from QlikView to QlikSense, enhancing functionality and accessibility of reports.
Managed end-to-end development and project lifecycle, collaborating closely with clients to understand technical requirements and ensure project success.
Proficient in QlikSense Management Console, VizLib tools, and NPrinting for generating reports.
Implemented and supported ETL processes using DB, Azure Data Factory, SAP Hana, and SAP BI.
$950 / mo
≈ $11400 / year net
Data Analyst
Ukraine · Uzhhorod · 6 months · Upper-Intermediate ·Published 15 April
Ukraine · Uzhhorod · 6 months · Upper-Intermediate ·Published 15 April
$5000 / mo
≈ $60000 / year net
Team Lead - Data Science & Data Analytics
Ukraine · Uzhhorod · 5 years of experience · Advanced/Fluent ·Published 4 April
Ukraine · Uzhhorod · 5 years of experience · Advanced/Fluent ·Published 4 April
I am mainly interested in management-like positions in BI, Data Analytics, Data Science, Research and other related spheres, preferably in miltech. I would also consider other related positions, though.
My education and experience is self-explanatory, i.e. top level EU university Master’s degree and industry recognised companies (i.e. GIZ, GOPA Consulting Group, Jabil Inc., IKEA).
I will primarily consider contractor/freelance roles. Feel free to contact me here or on LinkedIn, I would be happy to receive your offers!
$600 / mo
≈ $7200 / year net
Junior/Trainee QA Engineer
Ukraine · Uzhhorod · 6 months · Intermediate ·Published 4 April
Ukraine · Uzhhorod · 6 months · Intermediate ·Published 4 April
Main achievements:
- preparation technical requirements to insurance treaties (insurance products) for 1C development and support department;
- performing testing for new insurance treaties (calculator, forms, reporting, print etc.).
- development of an effective unprofitability report of MTPL;
- creation of new insurance products, which increased the receipt of insurance premiums.
2. Lawyer (2003-2014, 2021-2022)
Total experience of a lawyer over 10 years. Providing legal services to a group of companies (wholesale of building materials, production of mineral water, freight, taxi service, pawnshops).
- working with software systems "1C" and "SAP" - reporting on obligatory reinsurance contracts (border of premiums, losses, etc.);
- analysis and reporting of incoming and outgoing reinsurance and reporting for the Ukrainian financial regulator in terms of reinsurance;
- underwriting of insurance contracts, development, implementation and maintenance of insurance products;
- underwriting of risks offered for reinsurance, their analysis.
Actually for the following reasons:
I have a good experience with beta testing and preparation technical requirements.
I'm a good observer and pay attention to details.
I'm pretty good at finding errors (in my everyday life).
So instead of finding mistakes in anything and everything, I rather channelize this quality of mine into finding defects in the applications/software.
I'm curious and want to know how everything works. I like to know the end-to-end functionalities.
I have excellent communication skills - both written and verbal.
And I like documentation.
I like to investigate.
I'm a perfectionist and quality matters to me the most.
And first of all I need experience and practice.
$1500 / mo
≈ $18000 / year net
Python Developer
Ukraine · 3 years of experience · Intermediate ·Published 3 April
Ukraine · 3 years of experience · Intermediate ·Published 3 April
Clouds: GCP, AWS
DB: PostgreSQL, BigQuery
AI: OpenAI models, LLAMA, OpenCV, PyTorch
I bring to your attention a robust professional background in Python and database development, encompassing three years of hands-on experience. Noteworthy among my proficiencies are strong skills in web scraping and data processing.
Please do not hesitate to reach out if you require any additional information or have specific inquiries. I am at your disposal for further discussion.
2) Extract data out of a few external sources (API's, Google spreadsheets, etc.) to one database using Google Cloud Platform tools (Google Functions, Storage, Scheduler, BigQuery DB, etc.).
$1000 / mo
≈ $12000 / year net
Data Analyst
Ukraine · 2 years of experience · Pre-Intermediate ·Published 19 March
Ukraine · 2 years of experience · Pre-Intermediate ·Published 19 March
• organized and conducted analytical researchs
• accumulated, systematized and formed databases
• interacted with departments and other organizations
• identificated, analysed and verificated financial transactions
• conducted by analytical researchs, provided conclusions
Project expirience in IT:
1. Power BI - Data costing, visualization creation, working with external API
In the training project, I used various functions to calculate and aggregate data (dataset "Supermarket Sales" - data from the Kaggle dataset on sales in the supermarket); developed different types of visualizations to understand sales data; connected an external API (currencyconversion).
2. Tableau - Unit Economics + Product metrics
To complete an individual training project, I used a dataset with data on the revenue of a product company. Calculated fields for metrics were created, LOD, Table Calculations were used.
On the dashboards, I visualized a comparison of the total Revenue for each of the location + product combinations; total Revenue for each of the locations; total Revenue by month broken down by product; ARPPU and Paid Users Account monthly; change in Total Revenue as a percentage compared to the previous month, cohort analysis of Revenue from users, and more.
3. Tableau - Onboarding Funnel
To complete an individual training project, I used a file with data on the steps users took from registration to the first payment. Based on this data, I created a dashboard with the following components: blocks with the main indicators (conversion rate is displayed in tooltips); a graph with the number of registrations and conversion from registration to trial in each month of registration; a graph with the average number of days from registration to payment in each month of registration; a funnel-shaped diagram showing how users followed the steps from the file (data in absolute numbers and relative (conversion rate).
4. Python
When implementing individual training projects, I worked with data in Pandas, performed data aggregation and cleaning, as well as data visualization using Matplotlib and Seaborn
I need a short adaptation period to really assess my capabilities in a relatively new field
$750 / mo
≈ $9000 / year net
Junior Data Analyst/ Data Analyst
Ukraine · No experience · Intermediate ·Published 25 February
Ukraine · No experience · Intermediate ·Published 25 February
1. Tableau Project : in this project a diagram in the form of a funnel was created, which shows how users go through the steps from registration to the first payment, and the conversion rate is displayed.
2. Google Looker Studio Project : in this project the indicators of Facebook and Google advertising campaigns were analyzed and compared, a table with columns and heat maps was created, the total metrics of Ad Spend, CPC, CPM, CTR, ROMI were derived.
3. Data analysis in Google BigQuery : A query was created to retrieve a table with information about conversions from the beginning of the session to the purchase.
Studio and Tableau. Clean, transform, analyze and visualize data using Pandas, NumPy, Matplotlib and Seaborn libraries in Jupyter Notebook. Work with key
product and marketing metrics using Amplitude and Google Analytics. Make decisions about improving products and services, draw conclusions and
recommendations for business based on data analysis. Conduct A/B tests to test hypotheses, optimize and improve business performance
$2000 / mo
≈ $24000 / year net
BI Developer / Data Analyst
Ukraine · 1.5 years of experience · Upper-Intermediate ·Published 24 February
Ukraine · 1.5 years of experience · Upper-Intermediate ·Published 24 February