lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Analyst
Category: Data Analyst
Experience: 0.5 years | English: intermediate

There are no big achievements so far(
My work experience was rather limited due to the outbreak of war and layoffs at work. During the 6 months of my work at Temabit Software Development as a data analyst, I participated in 5 projects, 3 of which were joint and 2 were single projects. All projects were directly related to Excel and its internal formulas. My responsibilities were to find patterns in the data and analyze them further. After that, I created a report and visualization. I also completed many small tasks from the company's employees. Among other things, I started learning PowerBi, but did not have time to implement this knowledge.
I don't like very monotonous work. For example, trivial and monotonous filling in a table with data. I also had the experience of unpleasant analytical work, which consists of 50 hours of checking employee reports.
Position: Data Analyst
Category: Data Analyst
Experience: 2.5 years | English: pre


My work has always been related to classical analytics, but last year I started using Python for data analysis and Power Bi for visualization. Additionally, I have learned SQL and the fundamentals of statistics and probability for conducting A/B tests. Being interested in this field, I wish to continue my professional development in data analytics.

Experience:

Analyst at the  "Diia" from 12.2020 to 04.2023
Performed tasks related to the study of state communications, preparation of regular and ad hoc analytical reports, crisis monitoring.

Advisor to a member of the National Council for Television and Radio Broadcasting from 07.2017 to 03.2020
Initiation and implementation of media and sociological research in the segment of television and radio broadcasting, preparation of analytical reports, presentations, infographics.
Position: Data Analyst
Category: Data Analyst
Experience: 11 years | English: fluent

* Microsoft Certificate PL-300: Microsoft Power BI Data Analyst
* Development of reporting structure for management in different companies
* 100+ client projects in consulting and research
My working background includes international companies, large corporations (SCM), state companies (Ukrposhta), and international organization (Transparency International). 

Have solid experience in data analysis using Power BI and Excel.
I'm looking for interesting project with life-work balance and friendly team to which I can add my knowledge and experience in data analysis.
Position: Data Analyst
Category: Data Analyst
Experience: 0.5 years | English: intermediate


NDA company | 09.2021-02.2022
Junior data analyst (PSP)
- working with large data sets, building analytical reports on the operation of the company's products;
- conducting financial reconciliations between the company and its partners;
- writing simple macros to automate reports in Excel (VBA).
Position: Data Analyst
Category: Data Analyst
Experience: 4 years | English: fluent


NDA
e-commerce and affiliate marketing, sales of health & beauty Asian products on developing African markets
Call center supervisor
January- March 2022
(2,5 months)
Responsibilities:
Managing work of 2 call centers in Kenya and Nigeria remotely from Kyiv (40 people)
Control of performance of call center, setting up KPI´s for the teams
Implementation of new processes
Analytical research
Achievements:
Implementation of transition of call center to new custom CRM program
Revealing mistakes of call center agents´ job (based on analytical research) and successful  correction of those mistakes by creating an educational process

August - December 2021
Maternity leave 
(5 months)

Ukrtelecom
Biggest telecom company in Ukraine (internet, telefonia, radio and TV provider)
November 2020-July 2021
(9 months)
Analyst in product department
Responsibilities:
Competitors research (home internet)
Implementation of strategy of price increase (based on competitors´ research)
Presentation of results of marketing activities (preparation of analytical reports)
Achievements:
Segmentation of cities and creation of algorithm of price increase in every city based on competitors and customers behavior analysis.

Own business project 
October 2013- October 2020
(Clothes production)
 
Microsoft Ukraine 
May 2012 – May 2013
(1 year)
Regional project coordinator (Sales department)
Responsibilities:
- Coordination of daily activities of 5 regional representatives located in different parts of the country (Analytics and reporting, daily operations);
- Incentives Program for partners support (Coordination of enrollment, re-enrollment, partner readiness, partner requests management & support);
- Retail channel incentives program support;
- presentation of the results of regional sales project on regular basis
- Admin support to the head of department
Achievements:
optimization of incentives programs and as a result - better involvement and higher motivation of partners.
optimization of reporting of sales results of regional project.

Shell Retail Ukraine
August 2010-April 2012
(1 year 8 months)
 Loyalty specialist in marketing department
(10 month)
 Responsibilities: 	
Loyalty Program Database Analysis (big arrays of data)
Position: Data Analyst
Category: Data Science
Experience: 0 years | English: upper

Courses on Coursera:
- Машинное обучение и анализ данных by Moscow Institute of Physics and Technology and Yandex, 
- Machine learning by Stanford University, 
- Applied machine learning in Python by Michigan Univertisty. 
Few kaggle projects. Was a participant of the Perspektywy Women in Tech Summit 2018 (November 2018).
-	.NET developer, Infopulse (March 2019 – Present);
        Developing Web API project.
-	Volunteer, Data Science UA conference (March 2019);
-	Developer, Volunteer project (December 2018 – March 2019);
        Chatbot development to facilitate garbage sorting.
-	Intern, Infopulse (July 2018 – August 2018);
        Work with the resume database.
Looking for a data science internship program or a job as a data analyst in which I can apply my knowledge.
Position: Data Analyst
Category: Data Analyst
Experience: 0 years | English: upper

pet-project:
EDA Black Sea Grain Initiative: inspection and downtime
80+ certificates of accomplishment with DataCamp, Codecademy, Udemy, EPAM.
Never ever too late to switch to data analysis from legal profession. Open and flexible mind with note of skepticism is ready for new challenges. Sceptics are never deceived.
Lack of previous experience in the field is sufficiently reimbursed by persistence in learning confirmed by one year-long of everyday data analysis learning on various platform.
Want to gain practical skills in Data Analysis - collection, processing, cleaning of data, statistics, visualization.
Position: Data Analyst
Category: Data Analyst
Experience: 0 years | English: intermediate

1) I have participated in JAS(Junior Academy of Sciences of Ukraine) competition in Poltava. My project is a digital register in school for marking grades. Tools have been used: Python, PyQt5, MS Excel and MS Access.
2) Participated in INT20H Hackathon in Kyiv Polytechnic Institute. Theme was Data Science. We work in teams with groupmates. Tools: Python, pandas, numpy, scikit-learn.
No commerical experience.
1) I have developed two Telegram Bots: first is for fun(1500 lines of code). Second is for cryptoactivities - it shows a quotes for cryptoprices and shows changes for 1 day and 1 week. Also gives short description of cryptocurrency.
2) Done a project about Team Performence in Jira. I have explored metadata, figuring out NaN values and outliers, creating charts and forecasting with scikit-learn.
3) Performed an analysis of supermarkets. I have researched simple metrics, analysis of squares and sells in stores, explored remains goods and pressure on shelves.
4) Also I have done a research of Covid-19 data with SQL.
Most of this tasks you can find in my GitHub repository.
Position: Data Analyst
Category: Data Analyst
Experience: 5 years | English: upper


Now I am working at telecomunication sector and I have:
             2 years of working experience in the Banking and Telecommunications Sectors, 
            3 years experience as Data Analyst and  
            More than 1 year of agile and remote work experience.

My job description is:
         Collecting, cleaning, and processing large data sets from various sources.
         Conducting advanced data analysis and modeling using statistical and machine learning techniques to identify trends, patterns, and insight
        Creating data visualizations and dashboards to effectively communicate insights to stakeholders


Skills: 
        Python
        SQL
        Excel
        Analytic mindset and problem solving
        Power BI
        Tableau
        Machine Leanring
        Deep Leaning (Tensorflow)
Position: Data Analyst
Category: Data Analyst
Experience: 0.5 years | English: pre


Now, I just have some courses in study platform like 
"Udemy" - BI-Analyst (Excel, SQL, Tableau, Jupyter) and Python-for-data-science-and-ML
"Kaggle" - Machine Learning
 (theory and few practical examples)
I want go on   practices in this branch for more practice
Position: Data Analyst
Category: SQL
Experience: 5 years | English: intermediate

By accident create a system of classification and coding of NPP reliability indicators for Ukraine.
Survive 24.02.2022
Now interesting in Python and SQL development, Data Analyst and similar projects
Curent Project:
 Information System for Monitoring Safety Indicators NPP Operation
- Database architecture development on Oracle platform, including data population;
- Description and creation of mathematical functions and analytical methods using SQL;
- Creation of a web application using PHP for data collection, analysis, and visualization;
- Implementation of a data integrity and validity control system;
- Development of a key performance indicator-based reporting generator;
- Implementation and deployment of the system in both test and production environments;
- Training of personnel and ongoing support for the project.

Past Project:
IAEA Green books library
I was involved in the development and implementation of a system for classifying and storing events at nuclear power plants (NPPs) in Ukraine in accordance with the rules of the International Atomic Energy Agency (IAEA). As part of this work, I created a user interface using WebLogic and integrated the system with an external Reliability Database (RDB). Additionally, I developed a report generator using Oracle Reports.
Not working in IAEA groups, because there are no reason to work for company which did not works))
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: fluent

I followed this with a certification course in data statistics applied and mathematics. I attribute my success as a Data Scientist in large part to this extensive and in-depth education. I believe my personality has also played a major role in my ability to succeed in this career.
Now I work as Data Scientist as mentor in training center. Also I complited some projects in Data Science and upload it to my github profile :

github.com     profile ==>ornicat

I have good abilities of working in a team, understanding of algorithms, excellence in the MatLab tool kit, proficiency in GGplot, knowledge of SQL, and excellence in applied statistics
My abilities as a Data Scientist are rooted in a sturdy education in mathematics.I began with a bachelor's degree in computer science from UNEC.
I want to apply my skills to project and improve myself. I want to work with team and accomplish a lot of projects.
Position: Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: upper


Now my responsibilities are:
- finding insights in data from different sources
- developing and automation of analytical reports, dashboards
- result presentation with relevant data visualization

I'm also interested in Marketing analytics and for now study it.
Position: Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: pre


OLX Group
September 2021 - till now
1 year 4 months

Data analyst
A long-term experiment was implemented to change the rules of the service, which led to an increase in profits by an average of 23% per month.
An experiment was conducted on user clustering, which increased the attraction of site visitors by 33%.
Created operational reporting in Tableau to find areas for improvement for service users.
Created a text model for processing violators and further blocking violating content using SQL, and Python.
Conducted many A/B tests.

OLX Group
December 2020–September 2021
10 months

QA Specialist
Updated the system for measuring the quality of the work of moderators, which led to a 25% improvement in the performance.
Updated the training system for new employees, thereby improving the quality of training and reducing the training time from 10 days to 6 days.
Automated reports and reduced report update time by two times, using Python, R, VM, and Google Sheets

OLX Group
June 2019–November 2020
1 year and 6 months

Content Quality Assurance Specialist
Reduced service violations by 96% by automatically measuring content quality using R
Reduced cheaters by 80% using Python libraries (pandas, numpy, nltk, sklearn)
Created a database of basic criteria for finding scammers.
Conducted an analysis, the result of which was an increase in income of 93%.

Khan Group
September 2017—June 2019
1 year and 10 months

Head of the technical department
Formed from scratch, a department of four technical specialists
Created a training plan for new employees, reduced training time by two times.
Implemented a long-term experiment on service pricing, which led to a 25% monthly increase in profits.
Set up communication with component suppliers, reduced costs by 30%.
Led a team of four full-time employees
Position: Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: fluent


One of the most recent project would be the analysis of a shipping data, An international E-commerce company wants to discover key insight from the customer's data base. The objective was to meet the satisfactory level of Shipment Delivery Time and to further precdict a more efficient means of shipping going forward.
The project was done independently.
The tools used in the product is the python programming language, Jupiter notebook, pandas, Numpy, Microsoft Excel, E.T.C
Position: Data Analyst
Category: Data Analyst
Experience: 2.5 years | English: intermediate

Courses:
Statistics: Basics of statistics, Analyzing data in R (Stepik). Math Statistics.
Visualisation: BI developer. Tableau.
Data Science: Data Analyst, Introduction to Data science and Machine Learning, R Programming Basics, Interactive SQL Trainer (Stepik). Kaggle micro-courses + competitions, my profile: melnykmaryna).
Now, I'm started Coursera specialization: "IBM Data Science".
Python, Pandas (with libraries: Matplotlib, Seaborn, Numpy).
Ongoing I'm work as Data Analyst in GameDev company.
My responsibilities: 
Monitoring of key product metrics. Developing of marketing, product and game analitycs.
Analysis of the game economy. Workinh with raw data and check correctiness on data (logs and events).
Development and support of dashboards (Power Bi, Tableau, QuickSigth).
Development of analytical systems and internal analytical tools.

Database  Admin, Analyst (1.5 year).
Working with databases, information analysis. 
Passed courses for data scientist, data analyst: Python, R, SQL, Statistic. 
Hard skils: BigQuery, Power Bi, QuickSight, BD Athena,
Python, Data Analysis, Pandas, Numpy, ML, Data Science, Jupyter Notebook, Anaconda, Statistics, SQL, Tableau, MS Excel (pover pivot and hard function). IBM Watsons Studio
Also, I have experience working with scientific data (technical science).
gambling, dating
Position: Data Analyst
Category: Data Analyst
Experience: 0 years | English: upper

Solving analytical tasks with the help of learned tools in Genesis Analytics school and Product analyst internship.
Online courses (python,sql, tableau) , university courses (python,c++, math, SQL, data
analysis(R)), Genesis Analytics school, Product analyst trainee, mathematics teacher for children in Nobel School,exam preparation tutor.
Position: Data Analyst
Category: Data Analyst
Experience: 11 years | English: upper


On my current job I have finished several projects. 
1. Automation. All Excel reports of the team was automated with the python. 60% time saving achieved with this project. 
2. Dashboard. With Python(specifically pandas, dash plotly, flask) and Linux server telecom multi-domain raw data processed and auto-updated dashboard was created. This dashboard has functionalities as drill-down, analysis of the neighboring base stations. Update interval of the dashboard is 5 minute.
3. Anomality detection. Continuously (1 hour, 15 minute) analyze ~15 KPIs of ~20K Network elements and detect if there is any trend degradation. For this project first I used SQL and then I shifted all algorithm to Python. Of course several Machine learning algorithms can be applied also for this project
4. Power outage prediction. During bad weather conditions we face with global power outages and because of this telecom base station are going to down. With the weather api forecast data and historical power outage alarms I have created Machine Learning template which can predict future power outage locations. I used Python and several regression models for this project. 
5. With the Python Atoti library I have created BI tool for our multi-domain needs.

I am currently Head of Quality Assurance unit in my organization. In my opinion I have achieved all the possible tasks in my organization and now I would like to open for new challenges to gain new experience.
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: fluent

1) Created NLP Chatbot
2) Graduated in MBA in Artificial Intelligence and Data Analytics program at KSE
3) Finished Mitacs Globalink Research Internship at Canadian University (UNBC)
4) Project: Admission process improvement for KSE Business Education Department
5) Project: Data Analytics research on Product Portfolio, Customers, Competitors, Business Processes and Operations for KSE Business Education Department
On my previous place of work, we did a complex long-term Data Analytics research. We analyzed our Product Portfolio, Customers, Competitors, Business Processes and Operations. This project helped us to realize what is going wrong and react immediately in order to solve our major problems related to Products' Marketing, Sales, Customer Satisfaction and Attrition rate. We even fond some gaps in our work and created a Strategy to eliminate them in long-term.
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: fluent

- Received "Gold Medal" taking 1st place at the biggest technology
festival "Teknofest" - 2022
On the industry side, I have worked as a junior data scientist in a famous, thriving Azerbaijani analytics company named QSS Analytics. Additionally, I was firstly an academic mentor and then instructor of “Data Analytics with Python”, and “Data Analytics with Oracle SQL” training held by the company. 
My last job was Data Analyst at Kapital Bank where my main responsibilities include translating unstructured data, in combination with other structured data sources, into actionable insights utilizing visualization tools like Tableau, and implementing data-driven solutions using statistical and programming skills to analyze and interpret large data sets to improve business outcomes. 
Additionally, throughout our master studies, we developed a computer vision product named “Azerbaijani Sign Language Recognition system” which brought us the 1st place - gold medal at Teknofest Azerbaijan 2022 - The biggest Technology festival and competition in the region. You can get detailed information about our project on my LinkedIn page. 
During these working experiences, I have been involved in various projects, most of which were about working on Data Science and trying to solve business cases using Machine Learning algorithms.
- I am looking for an opportunity where I get to use my skills and experience so that I can contribute to the company and also grow with the company professionally and personally.
- A positive work environment and friendly atmosphere
Position: Data Analyst
Category: Data Science
Experience: 1 years | English: fluent

Tech Stack: Python (pandas, numpy, ML with sklearn), SQL, JavaScript in Google Sheets.
Constucting Power BI and Google Data Studio dashboards visualization.
Prediction of customer involvement and probability of next purchase with Machine Learning.
Running ETL scripts in cloud and loading to BigQuery.
Completed 6 online data-courses for last 6 months
Operational Data Scientist with professional education and experience of Data Analyst. On my previous work place I have created ML model that predicts customer retention. 
Have experiance in ETL data from different API`s to BiqQuery database with reports construction in Google Sheets and visualization dashboards in Power Bi and Google Data Studio.
Actively participating in international competitions and Data conferences for getting new trends that can be used in business.
As experienced and responsible man I understand importance of teamwork and focused to become a Teamlead in next 3 years.
Position: Data Analyst
Category: SQL
Experience: 1.5 years | English: intermediate

I have experience in clinical trials data analysis using SAS and SQL. Also I performed analysis using python when I made a research in bioinformatics. For data visualization I used R. I have good analytical skills, a great desire to work and self-improvement.
Oracle, MySQL, Python, R
Mainly, I am interested in two areas. First is Oracle SQL, PL/SQL. Second is Python (Numpy, Scipy, Sklearn, Pandas), R, machine learning.
Position: Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: upper

Developing of myself is my passion. I don't like to sit around while world is running forward.
I think my main achievement is to push myself to new horizon of knowledge and begin new more interesting career in Data analysis.
Over then 1 year learning and practicing within DAN IT courses. Have sufficient knowledge of SQL, Python (worked with Numpy, Pandas), have projects in Power BI and Tableau. All my projects you can find at Github.
Currently I am working at the analytic position (SQL / Looker studio) in the finance company.
Currently have workplace, not searching actively. Thank you for attention to my profile!