lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Analyst / Data Scientist
Category: Data Analyst
Experience: 3 years | English: upper

- Bachelor's in Business Administration (2016), Master's in World Economy (2018);
- Launched two small tech businesses;
- Learned Python, Object Oriented Programming, Data Analysis and fundamentals of Data Science.
2020 - Present
Python Developer   |   Freelance
Numerous projects to practice coding. To name a few:
- Data Monitoring: created scheduled scripts to collect and analyze new data from the CRM of an educational platform (formula-ct.by) and trigger specific notifications (SMS and Email);
- Automation and analysis: designed Google Spreadsheets for table reservations at MonNom Bar, automated their creation and extracted some meaningful insights from the gathered data; 
- Object Oriented Programming: wrote and hosted versatile Chatbots for a food retail (dobronom.by), a chain of gas stations (azs.a-100.by), etc.

2019 - Present
Co-Founder, CTO   |   wifi-scanner.by
Wireless Technologies LLC, Minsk, Belarus
Presence estimation and geo-targeting of internet ads for Offline Retail.
- Processing large amounts of Data (802.11 probe requests), building pipelines from sensors to client dashboards and ad platforms;
- Random-split data A/B testing with control and treatment groups;
Supervision of in-house and outsourced developers and network engineers;
- Prioritizing product features, writing SRS;
- Making strategic business decisions.
Achievements:
- №1 Wi-Fi DMP provider in Belarus with data from more than 1000 locations;
- Customer success stories with ROI > 300% in Food Retail, FMCG, Fashion, Pharmacy and Automobile Dealers."

2015 - 2019
Co-Founder   |   freewifi.by
Individual Entrepreneur, merged into Wireless Technologies LLC
Wi-Fi HotSpots with authentication and marketing features for HoReCa.
- Implementing different business revenue models (SaaS, CPM, CPA);
- Studying customer demand, designing product features;
- B2B marketing and sales, signing contracts with advertizers.
Achievements:
- The largest advertising Wi-Fi Network in Belarus (2018);
More than 1.5 million unique users;
- Average B2B customer lifetime > 3 years.
I want to solve challenging data problems for the company, which product or industry I will be sincerely passionate about.
Eager to work relentlessly to become a pro.
Position: Data Analyst / Data Scientist
Category: Data Science
Experience: 2 years | English: pre

• Optimized the system of automatic reports
• Trained model for LVT calculation based on RFM analysis, which includes the results of the trained model of detection of the last user session, taking into account
user segmentation
• Created an application for collecting, aggregating and visualizing financial data
• Development and implementation of an automatic reporting system and trigger scripts
• Make exploratory data analysis
• Submission, analysis and description of data
• Formation, maintaining dashboards
• Preparation of regular offline and online reports 
• Detection of anomalies and patterns in user data 
• Development and implementation of models for predicting user behavior
• Data mining (clustering, segmentation, forecasting)
• Training and validation of machine learning models (fraud detection for customers, retention, LT and LTV)
• Visualization of research results and conclusions using BI-system
• Creation and maintenance of a custom application for collecting financial data and generating report
• Work in a team of 3 or more specialists
• The team is located in a separate office (not in the openspace)
• Corporate equipment
• Ability to work remotely and visit the office
Position: Data Analyst / Data Scientist
Category: Data Analyst
Experience: 1.5 years | English: upper


Digital advertising expert with strong ad operation skills.
I possess both an operation / technical background as well as a business background. Worked with various ad technologies and platforms.

Skils:
- business intelligent tools (Tableau, Data Studio, Google Spreadsheet)
- Python (pandas, numpy, matplotlib)
- SQL
Position: Data Analyst / Data Scientist
Category: Data Science
Experience: 4 years | English: intermediate

I proud of developing a pack of reports that allows monitor some main indicators in different aspects  of department activity. From creating procedures in DataBase to visualizing in Power BI
Experience in writing complex SQL queries;
Knowledge of Python (+ basic of Pandas, Numpy, Matplotlib);
Data analysis and visualization using Power BI;
Reporting;
General knowledge of linear algebra, statistics;
Search for cause and effect relationships;
Black and front testing.
I expect a position where i could process and analyze data using SQL and Python in daily work.
I would like to prepare the reports, calculate metrics, vizualize data, automate and optimize processes, build prediction models.
 I would prefer a position where i could focus on global, strategic, technically complicated tasks and projects. I don't really want a job where i would only do some operational tasks on a day-to-day basis.
Position: Data Analyst / Data Scientist
Category: Data Analyst
Experience: 5 years | English: fluent


I have visualized Amazon orders and campaign keywords data for Amazon sellers for improving advertising efficiency, increasing conversion rates etc by Tableau Desktop.

I visualize SkyScanner data for a flight booking company. Data sets are very big, I have worked with 107 mln rows data. I am using Oracle Server and SQL for wrangling data sets and visualizing by Tableau Server. Planning to apply ML for generating predictions by using NumPy, Pandas, SciPy, SciKit-Learn, Matplotlib modules and building a web app for visualization by Flask module.

I work with a local e-commerce company as well. Using python for scraping thousands of products' data from other e-commerce platforms to increase productivity.
Position: Data Analyst / Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper


I was working as Junior Data Analyst for almost 6 months. My responsibilities were: data preparation, data preprocessing, data transformation, data validation, making reports
I love math and discovering hidden patterns in data, so I want to develop myself in Data Analytics or Data Science
Position: Data Analyst / Data Scientist
Category: Data Analyst
Experience: 3 years | English: upper

Balancing in-game economy
Generating reports using local dashboards from Tableau
Creating dashboards using Data Studio
A/B testing
Managing the process of creating dashboards
Monitoring and analysis of online dashboards
Creating and analyzing user behavior funnels
Setting and testing remote configs
Analysis of UI elements
Segmentation of users in F2P games
Data cleansing
Bank credit scoring tasks
PRODUCT ANALYST | ANTS GAMES | AUGUST 2022 – NOW
Mobile game company
Member of marketing team, responsible for two products: a casual simulation game, a mid-core RPG.
Closely working with development and product teams, created the entire data analytics pipelines for 
the projects mentioned.
· Created the documentation for relaying game events to Firebase. Described the tracked user event 
parameters. Worked with the developers in order to introduce the mentioned event params. Tested 
the events themselves, as well as the quality of the event relaying.
· Analyzed user behavior, monetization options, UI/UX of the games, made funnels for playthroughs.


DATA ANALYST / DATA SCIENTIST 
OCTOBER 2021 – JUNE 2022
Full-service marketing agency for Amazon brands

An integral member of the Analytics / Data Science team charged with creating state of business metrics 
interactive reports for clients and developing ML models to project sales forecast.
· Created interactive dashboards with business metrics using Tableau and Google Data Studio.
· Developed ML model based on time series prediction taking into account seasonal trends, holidays 
and specifics of Amazon sales, using no-code environment to forecast clients’ sales, and optimize 
their business processes.

PRODUCT GAME ANALYST 
MARCH 2021 – OCTOBER 2021
Casual games company

Served as analyst on the Product Analytics team that monitored state of projects and analyzed different 
aspects of these programs to improve game metrics, and processes. Recruited to work on four (4) hypercasual games.
· Utilized analysis of user behavior from casual mobile games user input funnel to recommend 
strategies and tactics that reduced users churn at first levels of the game by 8%, which in turn 
increased DAU by 5%. Built UI/UX funnels that helped to simplify the interface and eliminated
unpopular features that resulted in increasing the average length of game sessions by 14%.
· Actively monitored Marketing tracking & measurement dashboards daily to detect critical 
situations and address them in a timely manner to maintain margins for the company.
· Segmented users in hyper-casual F2P games to optimize advertisements exposures to 
targeted user groups based on lifetime, in-game spending and overall user experience.
· Analyzed A/B test results of new game features; changes in in-game economy; and complexity curve 
using Firebase, Python and Google Sheets.
· Strive to achieve balance & optimization of in-game economy.
Position: Data Analyst | Data Scientist
Category: Data Analyst
Experience: 1 years | English: fluent


During my studies I've participated in many different projects connected with Data Analysis and Mathematical modelling as I am enrolled in the Master's program in Economics at University of Copenhagen. 

Briefly, my skills include:
- Working with Python packages like NumPy, Pandas, Matplotlib, SciPy and other in order to conduct statistical analysis on the data and create visualisations
- Strong experience working with database when doing different SQL queries for data frames
- Recognise, structure and solve financial problems in a constructive manner
- Set up and perform own independent analyses using statistical and econometric methods
- Structure, analyse and solve complex issues on the basis of economic theory and methodology
Position: Data Analyst | Data Scientist
Category: Data Analyst
Experience: 2 years | English: fluent


I am Farid Karimli, a data analyst/scientist with two years of work experience and an engineering background. Currently working as a data analyst/scientist at Kapital Bank, the largest bank of Azerbaijan. I use Python, DataIKU DSS and sometimes R for ML, and for data visualization, I use SQL and Tableau. In addition, I have almost one year of work experience as a data analyst at State Oil Company of Azerbaijan Republic (SOCAR), largest company in Azerbaijan.
Position: Data Analyst, Data Scientist
Category: Data Analyst
Experience: 2.5 years | English: fluent

- Presidential Scholarship Winner;
- 1st place winner at the 2nd International Student Research and Science Conference for the "Heuristic Method for Tuning the Parameters of Takagi-Sugeno Fuzzy Model" project in System Analysis, Modeling and Data Processing category;
- 3rd place winner at the First National Students Scientific Conferences for the "Handwriting Recognition in MATLAB" project;
- Graduated from a Bachelor's of Engineering in a top 3 (GPA 93.11/100);
- Dual degree Master's of Science student in Data Analytics and Computer Science (GPA 3.64/4);
- Completed Neural Networks and Deep Learning, Practical Time-series analysis courses offered by Coursera;
- Graduate of MIT Global Startup labs program 2018;
- ACM ICPC, National Informatics Olympiad participant; 
- Successfully completed Artificial Intelligence, Data Analytics and Big Data, Design & Analysis of Algorithms, and Information Retrieval Systems courses offered by the George Washington University;
2+ years of experience as a Data Analyst and Data Scientist:
- Doubled cashless retail transaction amount compared to the previous year;
- Increased average daily premium card sales by 60% compared to the previous month;
- Lead a team of three in analysis and prediction of four marketing campaigns;
- Increased debit card customer activity in cashless retail transactions by 30%;
- Implemented "Real-time Drone Detector" project developed in Python and trained with YOLOv3 real-time object recognition model;
- Data Science Bootcamp mentor in Python, Machine Learning;
- Data extraction using SQL;
- Customer behaviour analysis using Excel, Python;
- Campaign cost prediction using Machine Learning;
- Product analysis using Python, Machine Learning;
- Data Visualization using PowerBI dashboards and reports;
- Implemented "Business card reader" using OpenCV, Tensorflow;
- Implemented "Handwriting Recognition" using MATLAB;
- Developed Fuzzy Logic for the "Heuristic Method for Tuning the Parameters of Takagi-Sugeno Fuzzy Model" project;
- Experienced in Agile and Scrum;
Position: Data Analyst, Data Scientist
Category: SQL
Experience: 6 years | English: upper


6 years of experience in SQL, PL/SQL Analysis & Development. 

DWH managing Oracle, Amazon Redshift, Azure SQL DB.

Query optimization, procedures, functions, indexes, partitions, JOBS, DWH architecrure, DWH migration

BI: modeling and developing dashboards. Work with OLAP, Power BI, Google DS

Able to identify, investigate and resolve data issues.

Learn and improve new skills quickly.
Position: Data Analyst, Data Scientist
Category: Data Analyst
Experience: 2 years | English: fluent


A goal-oriented specialist who has;
• 2+ years of experience in industry and theory,
• a working knowledge of Python, SQL, Power BI, and other data science tools,
• highly developed qualitative and analytical skills to conduct independent research,
• proven ability to conceptualise problems and develop well-reasoned and integrated solutions.
Position: Data Analyst, Data Scientist
Category: Data Science
Experience: 4 years | English: intermediate

* Client financial behavior analysis based on transaction data from multiple sources to prove or deny
given hypothesis. 
* Technical support of a Bank's anti money laundering unit.
* Development of client's suspicious transaction search system for Bank's unit.
* Certification in data science by IBM on Coursera.
I have 4 years of wide experience with RDBMS and software development for ERP and MES systems.
 Also, I have an experience in data analysis, BI and database development. Have a basic knowledge in Python and analytical libraries, basic understanding of statistic and probability theory.
       Now I'm changing the vector of my professional growth and I think the work at the junction of math and programming is the most perspectival and suitable for my purpose.

Strongest skills:
- DB
- reverse engineering
- wide engineering experience
I am strongly interested in diving deep into work with data and designing new complicated solutions.
Position: Data Analyst, Data Scientist
Category: Python
Experience: 1 years | English: fluent

I have successfully completed the following personal projects:
-multilinear regression model to predict the price of used cars based on some features.
- classification model for predicting the chances of customers churning.
I have worked as a data analyst for 1.5 years at a Spin Mobile which is a fintech company in Kenya. Duties include:
- Assist in collecting, cleaning, and compiling data ensuring quality and completeness.
- Contribute to data analysis using a variety of techniques, including machine learning, to analyze borrowers data and predict their risk factor. 
-Utilize business intelligence tools to create dashboards to visualize data and create reports for key stakeholders of the data collected
- Demonstrate the borrowing behavior as well as the affordability capacity of borrower to potential customers by analyzing and interpreting patterns.
Position: Data Analyst, Data Scientist
Category: Data Analyst
Experience: 1 years | English: upper

Implemented ML algorithm: Linear regression for prediction revenues from special month events with Python and its libraries
Reported directly to CEO: for designing and developing
the dashboard about the communication rate of company
recruiters' which led to boosting the company's rate on
Handshake from 50 to 65%
Designed and integrated Tableau reporting
Completely automated mid-, end- month marketing reporting 
Optimized marketing metrics by adding ROAS, led to the growth of the number of special events and percent of company penetration into new marketing regions
I've worked for a year in this field as a Data Analyst, Business Intelligence for USA companies.
I grew from a Statistical intern to a Data Analyst. 
I used my experience to bring new approaches to marketing analysis. For example, I've changed Excel tools on Python and Excel visualization to Tableau reporting.
However, my responsibilities included not only analyzing business problems and reporting them with data visualization tools but also finding a solution to these problems. 
Machine learning algorithms are the most exciting part of my work. For example, I used Linear Regration to predict
revenues from special marketing events.
Furthermore, I have experience with both Supervised, such as Linear, Logistic Regression, SVM, KNN, and Unsupervised like K- means, K-medians clustering ML algorithm. I can accomplish Decision Trees or Neural Networks. In practice, I prefer to combine them to get more precise predictions without overfitting.
Among other skills, I'd like to highlight Python and its libraries: Flask (SQLAlchemy), Pandas,
Numpy, Seaborn, Matplotlib, Sklearn, Pytorch; PostgreSQL; Git, and Docker. I really like Linear
Algebra, I'm good at statistics and the theory of probabilities(my first course about the game
theory I took at tenth grade), and of course, I'm familiar with the basics of calculus.
I'm learning Data Science for more than two years and not gonna stopping as one of my goals is to
receive a university education in math. My background as a legal researcher gives me a much deeper understanding of formal logic and is fundamental for analytical thinking, and data orientation. I appreciate my law education for letting me practice mediation. Now as a Data
Scientist, it allows me to explain hard stuff easily and find solutions that would satisfy all stakeholders.
Position: Data Analyst, Data Scientist
Category: Technical Writing
Experience: 0 years | English: upper

Creating  predictive models - that's small breakthrough.
Work with computer vision.
Split test analysis.
Writing SQL queries(Vertica)
Looking for a job or internship .So, I have commercial experience. Programming and math are my passion. My goal - to get as much knowledge as I could.
I completed some courses - Diving into Python (Moscow Institute of Physics and Technology);  Introduction to machine learning (HSE University, Yandex School of Data Analysis), GENESIS Product Analytics school. 
I wish I could become a Data Analyst or Data Scientist, but I don't mind to try myself in other spheres.
Product Analyst
Data Scientist
Position: Data Analyst, Data Scientist
Category: Data Science
Experience: 0 years | English: fluent

My certifications:

1. ICDL Profile Certificate issued by ICDL Europe
    Modules: 
Computer Essentials
Online Essentials
Spreadsheets
       June 2023
       Show credits
2. Technologies of high-performance computing  (Bachelor) issued by Technische Hochschule Wildau Technical University of Applied Science 
       3 ECTS January 2023
3. Бази даних (поглиблений рівень)/Databases (advanced level) issued by Ukrainian Association of IT Professionals (UAITP)
       June 2022
       Credits ID: Р1122-0020
4. Використання баз даних/Use of databases issued by Ukrainian Association of IT Professionals (UAITP)
       June 2022
       Credits ID: Р1122-0013
Motivated to learn and hardworking with strong junior skills in Python, including data processing, classification, clusterisation and visulization. Experienced in performing analysis in order to make predictions on the data, highlight key tendencies, based on the obtained results. Worked with the databases creation from the stage of designing database architecture, based on the necessary functionality and data, to the stage of increasing the productivity of high-loaded databases. Had an experience of working with recognition algorithms.
I have self-employed working experience as a tutor in English, databases and provided help for students at other computer science disciplinces for 3 years since 2020.
Position: Data Analyst, Data Scientist
Category: Data Science
Experience: 1 years | English: fluent

Basic knowledge of MapReduce paradigm and Hadoop
Creating R packages, slidify presentations and shiny apps.
Python programming: numpy, pandas, connect with MySQL or SQLite databases.
Interested in Data Science, participating in Kaggle competitions.
MySQL, Linux, Python, R programming, SQLite, Hadoop, MapReduce, VBA, MacOS, Machine Learning, Econometrics, Statistics, Data mining, SQLite, Data Science
Professional development. Analytics with programming. Complicated tasks. Studying.
Position: Data Analyst, Data Scientist
Category: Business Analyst
Experience: 3 years | English: upper

Skills:
* Fast learner
* Analytical thinking
* Critical thinking
* Attention to details
* Teamwork and Leadership
* Intellectual curiosity
* Business acumen

- MS Office (Advanced)
- SQL (Beginner)
- Python (Beginner)
- Tableau (Beginner)
- Power BI (Beginner)
- MySQL (Beginner)
Worked as an Operational Analyst at Coral Travel Ukraine for 3 last years. Worked with MS Excel, main tasks were reporting, operations and pricing, market research. Completed online courses on BI Analysis. On this course, learned SQL, Tableau, Python, statistics. I want to develop in Data Analysis and Data Science. For this, I need more practice after courses.
Position: Data Analyst/ Data Scientist
Category: Data Analyst
Experience: 1 years | English: fluent


Data Analyst | Ketchup Loyalty Marketing - Kyiv, Ukraine


• Extracted and interpreted data patterns to translate findings into actionable outcomes.
• Updated and developed scripts and queries to extract and analyze data from multiple sources.
• Created 10+ analytical dashboards in Power BI.


Assistant to the Head of Analytics | Deep Knowledge Group - London, UK

• Participated in business development activities and communication with partners and clients.
• Reported to manager in form of reports, presentations, and interactive charts.
• Managed the team of 15 people & provided smooth communication between 5 departments
with 40+ team members.
Position: Data Analyst/ Data Scientist
Category: Data Analyst
Experience: 0.5 years | English: upper


Hello!
I started my career as an analyst in remote sales company.
Being presently involved in sales, I am trying to apply Python skills (also gspread, Pandas, os, XLWings) in my work. 
My previous roles have strengthened my capabilities in communication and critical thinking, including a keen attention to detail and accuracy.
Thank you for the interest.
Position: Data Analyst/ Data Scientist
Category: Data Science
Experience: 1 years | English: upper

1. Completed coursework "Forecasting of behaviour of financial stocks using neural networks".
2.Studied machine learning algorithms and neural networks for neural translation tasks  at Winter Machine Learning School at Lviv in Ukrainian Catholic University.
3.Participated in development of Dormitory Management System designed fro Kyiv-Mohyla Academy
4. Participated for two years in Ukrainian Student Olympiad at Lviv National University.
Python,scikit-learn, Numpy, SciPy, TensorFlow, Keras,matplotlib,R,MS Excel,Java (Spring framework),NodeJS, Django framework.
Seeking interesting and demanding projects connected with the field of data science/machine learning.Free to explore new depths of math and programming in order to solve hard and difficult problems.