lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Junior Data Analyst
Category: Data Analyst
Experience: 0 years | English: pre


Looker Studio

As a Data Analyst, I extract and analyze data to evaluate key metrics such as MRR, ARPPU, ROMI in Lomy expertise in data visualization, data analysis, and storytelling using Tableau. The project demonstrates my ability to transform raw data into actionable insights that can drive strategic decisions and optimizations.oker Studio. I use the metrics for creating a chart with ROMI and ad impressions by month. You can also view metrics by company in the form of a table. In this project, all metrics were calculated using a query PostgreSQL. Visual reports and dashboards are created to effectively 

Google Sheets

I use Google Sheets for calculation of values and using the different functions. I determine the activity of users from the first month of use to next month. In the report, I use cohort analysis with thermal indicators.

Tableau

In Tableau, i use my expertise in data visualization, data analysis, and storytelling using Tableau. It's demonstrating my ability to transform raw data into actionable insights that can drive strategic decisions and optimizations.
Position: Junior Data Analyst
Category: Data Analyst
Experience: 1 years | English: intermediate


Math/C++ Tutor
2019 - 2021
Preparing primary school students for exams. Solving Olympiad level tasks.

Casafari | Data collection & QA
2021 - 2023
Collecting data from websites and analysing it. Working with data and preparing it for automatic parsing. Stack: html, css, js, json, python, sqlite, regex
Position: Junior Data Analyst
Category: Data Analyst
Experience: 0 years | English: fluent


Mondelez International (Nov 2021 -  May 2022)
Analyst:
- Was responsible for optimizing workflows, by using Power Query, and Power Pivot tools reduced about 30 hours of monthly routine work;
- Planned product demand on a monthly and yearly basis utilizing forecasting methods and models based on historical data;
- Used SAP to track shipments and sales with further data analysis;
- Was involved in business and sales analysis, evaluation of turnover, and P&L analysis.
   Nestle (Apr 2019 - May 2021)
Channel development specialist:
- Worked with relational databases, extracting data to conduct analysis;
- Designed and developed business analytics dashboards using Excel and Power BI to find out valuable insights from the dataset;
- Successfully interpreted data to draw conclusions for managerial actions and strategies;
- Calculated and analyzed KPI, pre-post evaluation of trade marketing investment efficiency.
Sigmaengineering
Business Project Developer (Project work):
- Developed a business plan for establishing a manufacturing enterprise; 
- Investigated the industrial fans market, and analyzed the company`s facilities;
- Calculated basic costs, and financial projections for the production of industrial fans;
- Developed the key strategies, goals, and tactics for target realization.
Personal Project
Online Store on E-commerce:
- Carried out market analysis and research;
- Searched for the best-selling products in the home goods niche via AdSpy, NicheScrapper, and other tools;
- Looked for and chose a reliable supplier;
- Сreated the visual components of the site on Shopify;
- Designed creatives and advertising materials for Facebook campaigns;
- Worked with PayPal payment system;
- Launched, optimized, and scaled advertising campaigns.
Position: Junior Data Analyst
Category: Data Analyst
Experience: 0 years | English: fluent


MoYo (Retail/ E-commerce), www.moyo.ua
Product Category Manager,  DEC 2021 - MAY 2022
Category: Tablets, Wearable
Analytics: market analysis (volume, trends, dynamics, share etc.), product analysis (ABC and XYZ, bestsellers,brands share, pin-to-pin comparison etc.) 
Planning: sales, stock and promotions planning, strategy providing.
Assortment & Stock: width and depth assortment control, product matrix management, forecasting, buying, distribution, price protection, turnover and aging control;
Pricing: competitors analysis, RRP control, discounts.
Marketing: promotions prodiving (inc. COOP), marketing communications management
Sales operations: interplay with retail and sales department (motivation, trainings providing, client communication support, complaint management)

Citrus (Retail/ E-commerce), www.ctrs.com.ua
Product Category Manager,  MAY 2017 -  JUN 2018
Category: IoT, Drones, Action cameras

MoYo (Retail/ E-commerce), www.moyo.ua
Product Category Manager,  AUG 2016 - MAY 2017
Category: Smartphones

Stylus  (E-commerce), www.stylus.ua
Product Category Manager,  MAR 2015 - JUN 2016
Category: Smartphones
Position: Junior Data Analyst
Category: Data Science
Experience: 0.5 years | English: upper

Have basics of Probability Theory, Statistics, Linear Algebra and Mathematical Analysis.
On my final project of the course of Data Sciense I worked with a data set from the agro company. I identified the most important clients, found out four goods with a stable consumption value and built a sales forecast for the next period (accuracy = 97%).
Non-commercial projects. 
- Manipulating, cleansing and processing data;
- Machine Learning fundamentals: clustering, classification, regression, metric vs loss function, over- vs underfitting;
- using tools and libraries such as Pandas, NumPy, SciPy, scikit-learn, matplotlib, etc.;
- ABC- and XYZ-analysis;
- Time series forecasting;
- Data visualization and reporting.
Position: Junior Data Analyst
Category: Data Analyst
Experience: 0.5 years | English: upper


On my last job I was working as Payment Analyst and this was my responsibilities:

- Finding out problems of poor conversion, anti-fraud, etc.
- Generating statistics on payment methods of providers
- Building communication with support service providers
- Analysis of conversion in the context of payment methods and clients
- Checking the efficiency of payment methods
- Methods of payment and alternative methods of payment
- Building dashboards for analyzing purpose
- Testing problem methods improvement
- Monitoring user behavior for UI/UX
Position: Junior Data Analyst
Category: Python
Experience: 0 years | English: upper


Personal Project, Kyiv, Ukraine
03/2023
Backend for CRM of tests with Django
-	design flexible database using Django ORM;
-	prepare API for creating answers, questions, and tests with Django REST framework;
-	implement Auth using JWT token;
-	test flow using Postman and Kolo;


11/2022
Network and Mobile Application Programming
-	create a library-like application;
-	work with navigation;
-	fetch data from external API;
-	prepare layout for a few fragments;
-	work with events, handle clicks


09/2022-11/2022
Architect the Database and Work with Data Using SQL
-	construction of a conceptual (logical) data model;
-	convert the conceptual data model into a relational model;
-	implementation of the data model in the database management system environment with Django;
-	work with SQL (create structure and change data);
-	use SQL in application programs
Position: Junior Data Analyst
Category: Data Analyst
Experience: 0 years | English: intermediate


-  Programming languages: Python, R
-  Working with databases and executing queries: SQL
-  Data processing and analysis: Pandas, Numpy, Matpltlib
-  App Analytics: Firebase
-  Knowledge of basic machine learning techniques such as regression, classification, clustering, and unsupervised learning
-  Knowledge of Excel and Google Sheet for data processing and analysis
Position: Junior Data Analyst
Category: Data Analyst
Experience: 0 years | English: upper

Work History

• English/Spanish Teacher at Private School (2 years of experience)

• Customer Service Agent (Promoted to Team Leader of Customer Support Department)
Online-store of gold bars, Belize City (5 years of experience)

• ESL Kindergarten Teacher in China, Beijing (1,5 year of experience)

• English to Spanish Interpreter (Self-Employed)
Projects
• Data Preprocessing Building Permit Project
Goal: preprocessing for further analysis and modeling by handling missing values, data type conversions, and other necessary adjustments. Techniques: imputing missing descriptions (Mode imputation), Unavoidable Missing Data (datetime was changed to NaT), Forward filling, Mean imputation, Non-informative Value imputation.

• Bike Path Usage Analysis and Prediction Project (Poisson Regression)
Goal:  predict the number of riders on one path based on the number on another path using Poisson Regression. Techniques: EDA, Correlation Matrix and Feature Selection, Handling outliers (Outlier Capping), Data splitting into training and testing sets, Model Building and Evaluation, Model Visualisation, RMSE.

• Predicting #cakeweek Project (Logistic Regression) 
Goal: predict whether a recipe was part of #cakeweek based on other recipe features. Techniques: Filtering data to find correlations, EDA, Finding Correlated Features, Data splitting into training and testing sets, Model Building and Evaluation, Modification of predictions to improve model accuracy.

• Water Salinity Prediction Project (Linear Regression)
Goal: predict the water salinity based on its temperature. Techniques: Feature Selection, Sampling, Correlation Plotting, Simple Linear Regression Model, Model Visualisation, Model Evaluation with R^2 score.

• Adidas US Sales EDA Project
Goal: analyse the sales data to identify trends and patterns. Techniques: Data Preparation, Correlation Matrix, EDA, Trend Analysis, Growth Rate, Visualisation (Pie charts, Line Charts, Bar Charts), Simple Linear Regression, Reshaping time series to 2D array, Model Building and Prediction, Plotting Predictions vs actual data and fitting a line, Data Export, Dashboard in Tableau.

• Covid-19 (SQL)
Goal: extract valuable insights from a COVID-19 dataset by employing SQL queries and leveraging Microsoft Azure's data management capabilities. Techniques: Retrieving data from table, Filtering, Using aggregate functions and Grouping, Joining the covid_deaths and covid_vaccinations tables to analyze vaccination statistics, Creating temporary tables and views.

• Web Scraping Multiple Pages on Amazon
Goal: scrape data from the Amazon Best Sellers page for Kindle eBooks. Techniques: HTTP requests, Parsing the HTML content and extracting relevant information, Reading and writing data to CSV, read the data from the CSV file and create a DataFrame, Writing test cases.
Position: Junior Data Analyst
Category: Data Analyst
Experience: 1 years | English: fluent

I did market research analysis for Canoe Federation of Slovenia, which served as a basis for marketing strategy formation.
Results-driven professional with a diverse procurement, data analysis, project management, and account management background. Skilled in leveraging analytical tools to identify cost-reduction opportunities and drive operational efficiencies. Experienced in managing cross-functional teams and collaborating with stakeholders to achieve project objectives. Proficient in MS Excel, Google Sheets, R, SQL, Power BI. Seeking new challenges in the technology industry to enhance skills and contribute to organizational growth.
In my portfolio I have projects involved clustering, perception map, market basket analysis, hypothesis testing and ect.
My portfolio: www.svetlanafuks.com
Position: Junior Data Analyst
Category: Data Analyst
Experience: 0 years | English: upper


Revision auditor | Nash Product Plus
June 2020 - September 2020
• Creation of reports based on audit results
• Working with pivot tables and search functions
• Work with a large amount of data - warehouse databases of the enterprise - in MS Excel
Mathematics teacher Setstud
September 2021 - July 2022
• Preparation of high school students for external examinations
• Preparation of students of mathematical specialties for exams
• Responsible keeping of logs and records
 

C# Trainee | Infopulse
February 2023 - May 2023

• Assistance in the development of the website of the charitable foundation
• Working with ASP.Net architecture, writing controllers
• Close teamwork, experience using Jira
Position: Junior Data Analyst
Category: Data Analyst
Experience: 1 years | English: upper


September 2022 - Now: Power BI developer/data analyst 

Recently I passed the course on SQL where I worked with a different database. Through this course, I made database requests using basic possibilities of SQL like window functions,  CTE, and another. 

This year I had university courses on math statistics and probability theory. It was a good experience where I created regression models for educational projects, hypothesized and tested them using different statistical criteria, and worked with a sample where I made and tested a hypothesis about the population's distribution.  

I used Pandas and Excel to work with data. For visualization results, I used Python libraries like Matplotlib and Pandas. 

Also, I have experience working with results of support service where I verified compliance with service speed expectations. 

I am interested in self-development in data analysis.
Position: Junior Data Analyst
Category: Data Analyst
Experience: 0 years | English: upper

I am a freshman IT student in university and this year I gain full tuition for my education. So also, I am also learning Data Analysis as extra-curricular. I am constantly learning new things and completed courses about Data, Statistics.
So, being honest i have no official experience. BUT I try to get experience with Forage Virtual internship and some sites give simple tasks about Excel. Fortunately, I learn quickly from practice. So if i have a chance i work hard on my wrongs and try to develop myself)
I want to develop my Data Analysis skills. I hope both I and Company which I work for will be glad. So my first expectation is good area for developing myself and show my progress on company's works
Position: Junior Data Analyst
Category: Data Science
Experience: 0 years | English: upper

My big achievements over the past year:
- the victory in the AR/VR Hackathon from Laboratory of culture,
- passing the "БУДЬ/BE" mentoring program,
- completing learining path on the SheCodes platform,
- successfully graduating from the Python Core course (SoftServe).
-  mentoring program from Women Who Code Kyiv in Data Science,
- Hatathon 4.0: Ukraine Heritage Edition (in top 15 of 133 registered projects)
I overcame all this on maternity leave, which only emphasizes my motivation, responsibility, multitasking, and organization.
So far my experience in IT is just learning. I am now starting to develop my PET projects. Currently focused on learning Python, JavaScript, (and started with HTML/CSS/JS). Already studied the following Python libraries - NumPy, SciPy, Matplotlib, Pygame, Turtle. Next will be - Pandas, Seaborn, PyTorch, OpenCV.
About previous experience. I have 15 years of experience in insurance - financial monitoring, audit. At the same time, I was engaged in 3D modeling, AR development, participated in city projects. Participating in these projects gave me teamwork experience. And also, urban planning taught to put a person in the center of any process/work.
Therefore, in my new profession, I also want to do something that will improve people's lives, because it is technology that serves people, not the other way around.
I dream of joining a friendly team where everyone is valued. Where there is no shame in asking questions, and mistakes are perceived as experience, and not punished. Where company promote the development of their specialists.
It is important to me that someone will believe in me. And I will work diligently and persistently to confirm that it is not in vain.
Also I will repeat again - with my work, I want to make people's lives better, I want to create something useful for society. Therefore, even for gain of "work experience", I don't want to waste time creating another tic tac toe or shooter game.
Position: Junior Data Analyst
Category: Data Analyst
Experience: 5 years | English: intermediate


Strategically-minded analyst with 5+ years of experience and a background in data visualization. On my current position I'm using statistical data modeling. Also I have experience in managing junior specialist.
As a TV marketing analyst I design complex TV strategies for clients in different categories like Pharma, FMCG, Microcredit, E-commerce, Betting.
Also I have experience in analysis of customer business data, audience, competitors communications using different professional software like Markdada, Galileo MMI, PharmXplorer, Nielsen Answer, SimilarWeb, Google Trends.
Position: Junior Data Analyst
Category: Data Analyst
Experience: 0 years | English: fluent

Education:
 2022 Business Intelligence Specialist Learning Path (Linkedin Learning, 24h)
 2022 Business Analyst Learning Path (Linkedin Learning, 24h)
 2019 Learn SQL Course (Codecademy)
 2018 Project Management Extended course (A-Level Ukraine IT School, 96h)

Projects:
 Cloud password vault
 Cloud storage (Nextcloud, LEMP) 
 Self-hosted VPN server (OpenVPN) 
 Self-hosted XMPP server 
 Apache workshop 
 Data copy/paste service (haste-server) 
 Cloud storage for the team
 Local PKI
Technical support engineer with 7+ years of experience in IT Industry in providing technical support, analysing clients’ requests for further product development, writing technical documentation and communication with business and technical stakeholders.

Complex analytical problem solving
	Solved clients’ technical issues with web security and networking solutions, Cloud Data Integration (ETL), Productivity and Data Connectivity Solutions on everyday basis for clients worldwide 
	Analysed clients’ requests for further product development

Market research
	Provided competitors research, comparing different networking solutions and preparing summary on the results

Collaboration with stakeholders
	Tested unreleased features of the VPN router and communicated results to business and technical stakeholders
	Communicated customer feedback to the corresponding departments/staff in order to develop processes for better serving customers
	Advised clients  on apostille issues, legalization of documents and other issues when providing translation services for them

Creating technical documentation 
	Wrote technical guides, created YouTube tutorials for web security products
	Updated external client knowledgebase, as well as internal departmental documentation as required
	Wrote company ToS / Privacy Policy

Learning and mastering for new technologies, mentoring
	Constantly upgraded knowledge and skills in web security specifics, SQL, data analysis tools and applying new knowledge in real business cases
	Worked as escalation point, a mentor and internal support for CS Specialists
Position: Junior Data Analyst
Category: Data Analyst
Experience: 1 years | English: fluent

UK SHE HSE (Health, Safety and Environment Officer) Level 1-3
National Institute of Information Technology (HTML,  CSS, PHP)
Data Analysis certificate from Takenmind Global Data Analytics Internship
Entry Level Product Management Certificate
Udemy Microsoft Excel - Excel from Beginner to Advanced
SQL (Beginner & Intermediate Level) – Datacamp
Data Science for everyone - Datacamp
PowerBi (Beginner & Intermediate Level) – Datacamp
Used Excel to organise and analyse data, create charts, graphs, and presentations
Used Power BI and QlikView to develop and update existing reports
A Top Editor at Everipedia.org (16 months experience)
Student Intern at National Institute of Information Technology (HTML,  CSS, PHP)
Student Intern at TRUTEC oil and gas plc (1 month experience)
Student Intern at OVH Energy and Marketing (6 Months experience)
Student Intern at Takenmind Global Data Analytics (1 month experience)
1 Month Data Analysis 30-projects internship with Octave Incorporations
Personal Projects on data analysis
I would like to have a role as a data analyst where I cam make use of my data analysis skills to the fullest and more.
Position: Junior Data Analyst
Category: Data Science
Experience: 4 years | English: upper

As a designer: Clients were happy with the Dashboards and Signup portal. The company launched the new products successfully. 

As a support engineer: 
- I successfully prepared the clients installation to updates and migrations;
 
- The company received positive feedback of the support team job highlighting their experience with me as exceptional because of my accuracy, attention to detail and dedication to solve the issues;

- My colleagues found my to-do instructions the best because they were clear and structured.
- While working as a support engineer I learned to analyze, troubleshoot and provide a suitable solution fast and effective.

- Experience with the billing of the telecom company showed how huge the data can be and how to build complex queries to get useful info from DB. 

- My UX designer position was more UX than design because my responsibilities were: gathering info from clients' DBs via Ansible, data analysis and interviewing the clients to get more details about their business scenarios and use-cases. After that long-time preparation, designing the interface took the least part of my daily routine.

- Also,  I took part in the design sprint (Google methodology) while developing the new products: the Business Dashboard and the Signup portal
After working as UX I realized that manipulation and analyzing  data brought me more pleasure than designing job. Thus, I dived into related courses. So, now I am looking for the opportunity to apply knowledge in production and learn more.
Position: Junior Data Analyst
Category: Data Analyst
Experience: 0 years | English: upper

Google Data Analytics Specialization
Exploratory Data Analysis with Seaborn 
DeepLearning.AI TensorFlow Developer Specialization
Worked on various data analysis projects using Python.
- Utilized Pandas, Numpy, and Scipy libraries for data manipulation and analysis.
- Created visualizations using Matplotlib and Seaborn libraries to present findings effectively.
- Implemented data cleaning techniques to identify and handle duplicates and missing values.
- Utilized visualization and statistical methods to identify outliers in datasets.
- Applied fundamental statistical methods, such as mean, median, and standard deviation, to summarize data.
- Conducted time series analysis to study patterns and trends in time-ordered data.
- Applied analytical thinking to derive insights from the data.
- Made data-driven decisions based on thorough analysis and interpretation of data.
Position: Junior Data Analyst
Category: Data Analyst
Experience: 1 years | English: upper

Successful completion of test tasks

Months of active study of analytics

Three-week basic statistics course in 5 days (sometimes I'm over motivated)

Regular attempts to master machine learning (small result by link in CV)

Web-application with using Java, MySQL, CSS/HTML, ORM, Hibernate (so, knowledge in architecture of data on back-end)

Hand-written data mining algorithms on Python (Naive Bayes algorithm, Page Rank algorithm, K-means clustering, Market Basket Analysis)
Working with data in Python (Pandas, NumPy, Matplotlib, Seaborn)
Awesome interactive SQL trainer
Excel including pivot tables and other (Access - excellent; Word, Power Point - as usually)
Data visualization tools (Tableau, but will be more soon)
Mathematical statistics in theory (wish to practice on A/B testing)
Analytical metrics and job interview secrets from experienced data analysts' videos
Flexible working hours and friendly atmosphere, of course