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Valentin Grechany

Offer Valentin work on your next project.

Ukraine Poltava, Ukraine
11 months 19 days back
Available for hire available for hire
1 Safe completed
1 year back
1 client
age 19 years
on the service 1 year

Rating

Successful projects
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Average rating
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Rating
171
Data Processing 1
465 place out of 1482
Databases & SQL
316 place out of 1209

Language proficiency level

Українська Українська: fluent
English English: intermediate

Skills and abilities

Programming

Design & art

Services

Portfolio


  • A/B test of the subscription screen

    Data Processing
    #python #pandas #SciPy #Statsmodels #seaborn #Mathplotlib #dataanalysis #ABtest
    Full project description:
    https://github.com/valenthr/ABtest_analysis
    - statistical significance was determined (using t-test and z-test to confirm the result) of the difference between subscription screen designs;
    - user engagement effectiveness was established for each design;
    - correct decisions were made based on the data.
    The main goal is to increase the CR in subscriptions using the new subscription screen design.
    Tools and skills: A/B testing, Python libraries: Pandas, Scipy, Statsmodels, Matplotlib, Seaborn.
  • Analysis of credit applications

    Data Processing
    #python #pandas #seaborn #Mathplotlib #dataanalysis
    Full job description:
    https://github.com/valenthr/credit_applications_analysis/tree/main
    - calculated the credit applicants' rating based on 8 criteria;
    - made the correct selection of applicants to minimize risks based on the rating;
    - found correlations and valuable insights regarding loan amount, age, gender, education, industry, and location.
    Goals:
    1. Optimize the process and minimize risks when approving loans.
    2. Identify patterns in the applicants' data.
    Tools and skills: Python libraries: Pandas, Mathplotlib, Seaborn
  • Analysis of sales from Google Merch Store

    #analysis #product #analytics #visualization #data #SQL #BigQuery
    Full description -https://github.com/valenthr/purchase_funnel
    - a sales funnel was created and user drop-off points were identified;
    - problem areas in the funnel and the effectiveness of each advertising source and campaign were identified;
    - the degree of dependence between engagement metrics and purchases was revealed;
    Main goal: increase conversion and sales.
    Tools and skills: SQL (BigQuery), product analytics, advertising campaign analysis.
  • Analysis of marketing campaigns

    Data Processing
    #analysis #product #analytics #visualization #data #SQL #PostgreSQL #BigQuery
    Full description -https://github.com/valenthr/ad_campaigns
    - the most effective advertising sources were identified;
    - the effectiveness of advertising campaigns was studied by month.
    Goals:
    - determine the effectiveness of campaigns and sources (by advertising metrics such as CPM, CPC, CTR, ROMI, etc.);
    - improve advertising strategies and optimize marketing efforts.
    Tools and skills: SQL, Looker Studio, advertising campaign analysis
  • Analysis of player behavior in online games

    Data Processing
    #analysis #product #predictive #analytics #visualization #data #Tableau #GoogleSheets
    Full project description: https://github.com/valenthr/gameusers/blob/main/README.md
    Valuable insights into user behavior were obtained, which helped optimize the user journey and retention. To achieve this:
    - data was collected and analyzed to assess key metrics (DAU, WAU, stickiness, ARPPU, retention, etc.);
    - patterns of behavior and user retention were identified through cohort analysis;
    - predictive models were used to forecast future metrics;
    - visual reports and dashboards were created for clear presentation of information, facilitating data-driven decision-making.
    Goals: optimize business strategies and improve product effectiveness.
    Tools and skills: Tableau, Google Sheets, product analytics, predictive analytics.
  • Analysis of music listeners' behavior

    Data Processing
    #analysis #product #analytics #visualization #data #Amplitude
    Full project description: https://github.com/valenthr/music_listeners_behavior
    1. An onboarding funnel was built.
    2. A dependency of the time spent on its completion was identified with the operating system, date, and day of the week.
    3. User drop-off points were studied.
    4. The effectiveness of the funnel, retention, and user engagement level were established.
    The main goal is to find patterns in user behavior.
    Tools and skills: Amplitude, product analytics
  • Analysis of SaaS company revenue

    Data Processing
    #analysis #product #analytics #visualization #data #Tableau
    Full project description: https://github.com/valenthr/SaaS_revenue_analysis
    Tools and skills: Tableau and product analytics.
    Essence: analysis of product revenue by date and location.
    Brief job description:
    1. Analyzed data on the revenue of the SaaS company for the year.
    2. Customer behavior patterns were identified using cohort analysis.
    3. Problem areas in the customer journey were identified that significantly reduced customer retention.

Reviews and compliments on completed projects 1

20 December 2024 23 USD
Set up data visualization in Looker

Quality
Professionalism
Cost
Contactability
Deadlines

Well done and quickly completed work
I recommend!

Activity

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Creating a beautiful, structured, and easy-to-read table in Excel
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