lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Scientist
Category: Data Science
Experience: 2.5 years | English: upper

Education:
	Master’s degree in Applied and Theoretical Statistics (2018-2020)
	Bachelor’s degree in Statistics (2014-2018)
Taras Shevchenko National University of Kyiv. Faculty of Mechanics and Mathematics

Projects:

	“Hand-held groceries recognition using Residual Networks”, master's degree thesis 
Trained a residual neural net to classify groceries in customers’ hands.
	 “Handwritten Digit Recognition using Support Vector Machines and Logistic Regression”, bachelor's degree thesis. 
Created models (SVM, Logistic Regression) that classify images with handwritten digits. 
	“Prediction of coronary heart disease in the Western Collaborative Group Study” 
Created a model (Logistic Regression) that predicts the presence of the disease. 

Tech stack: Python (NumPy, Pandas, Matplotlib, Scikit-learn, Fastai, OpenCV)
Data engineer 
-	Collecting and processing (cleaning, transforming, structuring) data for computer vision tasks
-	Implementing image background segmentation with clustering algorithms/background subtraction
-	Developing data selection techniques to create clean, diverse and large-scale datasets
-	Automating scenarios generation for testing AI’s real life performance, creating descriptive classification reports
-	Creating scripts for data labelling automation
-	Creating and managing in-store products databases
Tech stack: Python (NumPy, SciPy, Pandas, Matplotlib, Scikit-learn, OpenCV), Excel
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: fluent

Two times 5th place at all-Ukrainian math olympics in uni, bachelors diploma with honors in computer science degree
Data Science: ~2 years of work with machine learning / data science. I have ~a year of experience as data scientist / data engineer combined, so I'm good with preprocessing data as well. 9 months experience with pytorch/scikit on a machine learning non-commercial project for data prediction.

Overall: Approximately 4 years of python experience with various sql-databases, mainly PostgreSQL. 
Some (<.5 years) experience with linux+mongo; AWS S3.

I'm always looking forward to learn something new, especially in data-oriented fields.
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: fluent


Data science and machine learning practical and enthusiast within 4 years experience in Fintech, Marketing, R&D and Fashion area.

TECHNOLOGIES:
Phyton, ML, Interbase, MongoDB, MySQL,
T-SQL, Node.js, jQuery, JSON, Bootstrap 3, Angular.js, React.JS, Redux, Webpack, REST API, Websockets
TOOLS:
WebStorm, PhpStorm, IBExpert, MS DB Management Studio, SublimeText , XAMPP, Denver, PHPMyAdmin, Adobe Photoshop, Avocode, K2 blackpearl
OS: Linux, Windows, Mac OS
Gambling and Porn
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper


Data Science (Azerbaijan Airlines  2018 - Present)

 - Scraping aircraft failure data from server ("Amasis")

- Clean scraped data, keep defects which is affecting airworthiness
- Making data visual for cleaned time series data

- Failure forecasting for time series data and making monthly
reports & defect analysis

Computer Vision Engineer (Drivecasts 2019 - 2022)

- Building detection and classification models using
Python,Tensorflow,Pytorch,scikit-learn
- Construction data ingestion pipeline, implementing APIs
 - Building model to get 3d points coordinates and angles for
implementation UE4

Freelance 
Experience in preforming Future Selection, Linear Regression,
Logistic Regression, K-mean clustering, Classification, Decision
Tree, Random Forest and Neural Network algorithms to train and
test customer data sets
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: upper

1st place at NBU hackathon (computer vision track)
1st place at medical image segmentation competition (BEST course)
100% exam at KU Leuven data science course (BEST course)
Participation at Kaggle competitions.
Volunteering experience (5th Data Science UA Conference and Visualization Course)
Data Science Internship at Skein
Successfully implemented a classification model for the health-care project. I also worked with Google Analytics and made reports with Power BI.

Lviv Data Science Summer School
Attended courses: Machine learning for financial data structures, Security and Privacy of ML, Deep Learning for Computer Vision, Conversational design, Automated Machine learning.
Final project: representation learning for image classification.
Technologies: Pytorch, Fast.ai, Faiss.

BEST Course on Technology (Belgium, Leuven)
I completed the course at KU Leuven. Also, I participated there at medical image
segmentation competition and was a team leader (1st place). Final exam after
course: 100%
Technologies: Keras, imgaug, OpenCV, matplotlib.

Data Science Trainee at Data Root University
Studied machine learning, data analysis & deep learning. Completed several
courses at Cousera. Implemented the final team project related to NLP (SEO
requests clustering and correction).
Technologies: nltk, pymorphy.

Also, worked with Excel, Tableau and PowerBI.

Kaggle projects:
Santander Customer Transaction
Prediction - binary classification. Main technologies: CatBoost combined with LightGBM. TOP 20%.
Predict Future Sales : TOP 25% - regression
Looking for interesting projects with challenging tasks. 
Passionate about Computer Vision, customer, and financial analytics.
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: fluent


Data Science Nigeria Lagos, Nigeria
- Provided GIS technical services and support particularly related to city/county applications using Java Open Street Map (JOSM), QGIS, and ESRI Product and also extract relevant information from the overall geospatial data gathered from various sources, analyzed and visualized to solve problems related to intelligence.
- Built an end-to-end computer vision model that could classify Community pharmacies (CP) and Proprietary Patents and medicine Vendors(PPMV) stores in local areas in Nigeria using Python, Tensorflow, Keras
- Built a Retail audit Computer Vision model using YOLO architecture to recognize over 500 FMGCs products in Nigeria, determine the visibility and provide detailed analytics based on the detected FMCGs products (Yolo, Pytorch, tensorflow, Fastapi)
Africa4AI (Remote)
- A computer vision model that can be able to detect rooftop from satellite images most especially in remote areas in Africa (Labeling, Tensorflow, Keras, Drone technology)
- A thematic analysis of Twitter conversation peoples believe on COVID-19 (NLP, Machine learning)
- Worked on an extensive study on the prediction of accidents on some major roads in South Africa(Python, Machine learning)
Big T Infotech technologies Asaba, Nigeria
- Maintaining and preparing robotic tools for use, and training of kids on robotics and computer programming and graphics design(IOT, Robotics)
National Bureau of Statistics Abeokuta, Nigeria
- Delivering valuable insight from Data and helping with Weekly and Monthly Reports (Excel and R)
- Verification of Data Integrity and Computational Analysis.
- Analysis of Data with Statistical Software, SPSS, EViews, and R Programming language.
Position: Data Scientist
Category: Java
Experience: 1.5 years | English: upper

Won comprehensive scholarship for Erasmus joint double-degree program in Odesa Mechnikov university and Universita Studi dell'Aquila and finished with 98/110 grade.
-- Data Science projects

1)  APS Failure at Scania Trucks. Python (Data Analysis and ML)
• Got insights from data by cleaning and using different plotting techniques.
• Trained different ML models (Logistic Regression, KNN, SVM, RF) and
found the best one.

2) Quality classification of molded products via Machine Learning and Control Theory
• Conducted data preprocessing, applied standard regression and classification techniques (Linear Regression, Regression Trees, Random Forest, Gradient Boosting, SVM), upgraded techniques, control theory algorithms and compared the results to find best.
• Utilized Python with libraries: numpy, scipy, pandas, scikit-learn, matplotlib, seaborn
 
-- Junior Software Engineer - Netcracker Technology

Worked at “Shopping cart” component of the product in 3 projects with a team of 12, a team of 3 and a team of 7.

Worked on code refactoring, which increased the speed of the work of colleagues during further interaction

Optimized the process of adding a new product to the customer cart and enhanced the code according to data provided

Mentored new comers to help them understand the company's product, technologies and their responsibilities

Participated in daily brief sessions to present the work done and show the results of implementation to seniors

Followed agile methodology to ensure timely delivery of software projects
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: upper


Data science skills:
Machine Learning(supervised, unsupervised), 
Deep Learning(PyTorch, Keras), 
Python(numpy, scipy, scikit-learn, pandas, etc), 
Data Visualisation(matplotlib, seaborn, plotly), 
Working with group accounting method arguments, as a science research.
Experienced in linear models and computer vision. Working with neural networks and classic ML algorithms.

Development skills:
Python, C++, Flask, SQL, Unix, Git, Docker, VirtualBox, NixOS, AWS
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: fluent


Data Science Team Lead, Gamboo
•Cleaned and manipulated raw data.
•Designed surveys, opinion polls and assessment tools to collect data.
•Tested, validated and reformulated models to foster accurate prediction of outcomes.
•Used statistical software to analyze and process large data sets.
•Created graphs and charts detailing data analysis results.
•Applied feature selection algorithms to predict potential outcomes.
•Followed industry innovations and emerging trends through scientific articles, conference papers or self-directed research.
•Worked closely with team members to deliver project requirements, develop solutions and meet deadlines.
•Delivered product to customer on time.

Middle Data Scientist, Datacity 
•Worked alongside team members and leaders to identify analytical requirements and collect information to meet customer and project demands.
•Produced in-depth analyses and proposed solutions to meet complex business needs.
•Mentored and encouraged Data Science team to enhance data mining, management and analysis techniques.
•Reviewed business areas to strengthen analytics, enhance strategic planning and support decision-making processes with solid data.
•Cleaned and manipulated raw data.
•Designed surveys, opinion polls and assessment tools to collect data.
•Tested, validated and reformulated models to foster accurate prediction of outcomes.

Head Academic Mentor, Datalent 
•Helped teachers and administrators optimize curriculum offerings and successfully prepare students for higher education, vocational school or direct employment.
•Employed skills in crisis intervention to help resolve difficult situations.
•Assessed students one-on-one to gauge interests and better meet changing demands.
•Encouraged students to carefully consider career options and related academic decisions based on personal strengths and goals.
•Improved students' access to career planning information, work experience and employers by setting up special events.
•Juggled multiple projects and tasks to ensure high quality and timely delivery.
Improved operations by working with team members and customers to find workable solutions.

Data Scientist, E-Gov Development Center
•Created graphs and charts detailing data analysis results.
•Research on subjects related to data project
•Data Cleaning, including advanced cleaning methods, such as regex, etc. with Python
•Data Manipulation, aggregations, grouping, etc. with Python
•Predictive modeling
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: intermediate


Data Science
Together with some university courses taken, I have been learning online about Data Science and Machine Learning. My framework is Python with pandas, numpy, scikit-learn, matplotlib and seaborn. For deep learning, I am using Keras + TensorFlow. 
I have made a personal and team projects for university courses(Data Analytics and Data Mining,  Network Optimization, Parallel computing, Machine Learning), as well as solutions for kaggle competitions(Sberbank Moscow Housing Prices, )
Analytics
I enjoy the process of  data-driven decision making. It combines my technical math education with my passion to design. I like designing clear and self-explanatory visualizations with wide range of tools - matplotlib, seaborn, pyplot, folium - and provide strong statistical evidences.
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: intermediate


Data Scienst with 3+ years of experience in collecing, analyzing and making sense of large amounts of data and transform into useful information. I am skilled in using math and statistics to create predictive Machine Learning models and algorithms that help busineses make better decisions. My goal is to use my expertise to help organizations thrive in a data-driven world.
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: fluent

Contributed to Pytorch for its default inference optimizer
Contributed to Huggingface for its HF Hub
Data Scientist and AI Researcher with 4 years of experience. Worked with H2O.ai, and contributed to well-known initiatives such as Pytorch and Huggingface repositories. Substantially used Python, Pytorch, and SQL alongside the journey of my experience for scalable systems.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper


**Data Scientist**
- ANTz, Paris, France
- April 2021 - present 
- Developed web scraping scripts to collect XML, JSON data
- Applied data wrangling techniques to acquire clean data using Python (CSV, XML, JSON, TXT)
- Integration of processed data into 3D environment and advanced visualization

**G&i Academy**
- Baku, Azerbaijan
- February 2020 - present 
- Educating clients on varying aspects of data and modern technology
- Training Python and data skills related to their field(HR, marketing, finance, etc.)

**Data Science Intern**
- Nikoil Bank, Baku, Azerbaijan
- January 2019 - May 2019
- Created data visualization graphics, translating complex data sets into comprehensive visual representations.
- Modeled predictions with clustering and regression algorithms using R
- Developed R Shiny apps for internal non-technical staff to visualize data. Achieved 20% higher productivity in terms of data visualization
Position: Data Scientist
Category: Data Science
Experience: 2.5 years | English: fluent

mlcourse.ai – finished in 36th place
Cambridge English: Advanced (CAE) – CEFR level C1
Coursera – Structuring Machine Learning Projects
Coursera – Neural Networks and Deep Learning
DataRoot University final project (NLP, keyphrase extraction)
Data Scientist at A-bank
October 2020 — present
• Building various credit scoring models
• Speaker verification model
• Fraud transactions detection model
• OCR (Ukr. ID-card, Taxpayer Identification Number document)
Opportunity to build interesting data-driven solutions
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper


Data Scientist at Amazinum (Feb-Jul 2023)
- Developed and implemented the monitoring system for service.
Tools and technologies: Python, NumPy, Prometheus, Grafana, Jenkins, Git.

- Researched model for user behaviour prediction.
- Researched LTV model.
Tools and technologies: Python, XGBoost, Scikit-learn, NumPy, Pandas, Plotly.

- Analysed performance of the service.
Tools and technologies: Python, SQL, Pandas, NumPy, Plotly.
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: fluent

200+ hours in competitive programming/programming puzzles (CodeInGames / CodeWars)

Kyiv Polytechnic Institute provided me with a lot of practice in Python and C/C++

IELTS certification 6.5.
Data Scientist at computer vision sports startup. There I created data set labeling tool and participated in developing the ML part.

Developer of a project whose goal was to help the Ukrainian army obtain the orcs' location. There, I created a telegram bot and assisted in creating the project architecture.

Kyiv Polytechnic Institute practice - course works and labs.

Scientific circle: Neural Networks and its implementation in cybersecurity, KPI.

Machine Learning algorithms: Linear Regression, Logistic Regression, Decision Tree, SVM, Naive Baye, kNN, K-Means, Random Forest, ANN, CNN.

Data Science Python libraries: Pandas, Numpy, Mptl, etc.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: fluent

1. Polygon Africa Bootcamp: Mastery Track runner-up
2. Chainlink Spring 2022 Hackathon Filecoin - Runners up.
3. Protocol Labs (Filecoin) MicroGrant.
4. 2nd place Zinid's SFC PAYGo Solar Credit Repayment Hackathon by #ZindiWeekendz.
5. 3rd Place Bitgrit's Video Popularity Prediction Challenge.
6. Data Science Nigeria 2020 Bootcamp - Runners up.
Data Scientist at Crown Interactive Limited
 •Worked with the product team on operational tasks.
 •Generated business reports using PowerBI for the company clients.
 •Worked with the management team to create a prioritized list of needs for each business segment.
 •Worked with departmental managers to outline the specific data needs.
 •Generated a report for the billing project with Python (Pandas) and MySQL.
 •Responsible for investigating and resolving discrepancies between transactions from different sources with Python (Pandas).
 •Responsible for performing reconciliation processes across a range of channel partners in accordance with prescribed client standards. 
 •The source of these data are SQL and excel, rigorous data analysis is done to make sure these data from different sources match (Transaction amount).

Data Scientist/CrunchDAO Member at CrunchDao
 •Building Machine Learning Model for financial market.
 •Using Machine Learning to build Trading Signal that generates profit.
Position: Data Scientist
Category: Data Analyst
Experience: 0.5 years | English: upper


Data Scientist at Fractal Analytics
- Building machine learning models for sales forecasting
- Time series analysis and its decomposition
- Determining and analysis of the factors affecting the sales volume

ERP Developer at Innoware
- Development and support of functional modules of the system
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: upper

Megogo Challenge WinnerMegogo Challenge Winner
Issued by HACKA-CON by MEGOGO & PariMatch Tech · Dec 2021

Gold medal "For Special Achievements in Learning"Gold medal "For Special Achievements in Learning"
Issued by Technical Lyceum NTUU "KPI" · Jun 2017
Data Scientist at Media Partnership Buying

Tasks and Responsibilities:
• Creating of predicative models using languages Python / R programming, mainly using methods of regression analysis to assess effectiveness marketing activities of brands (areas - finance, retail, mass media and others)
• Feature engineering: selection of factors for predicative learning models, checking data for 
completeness, for the absence of autocorrelation etc. If necessary, parsing data from online sources for processing and inclusion in the dataset
• Testing models for accuracy, stability and reliability forecast using statistical indicators, including R-squared, adjusted R-squared, F-statistic, Prob, LogLoss, Accuracy score, Durbin-Watson, Jaccard similarity score etc.
• Preparation of regular and adhoc analytical reports in MS Excel, PowerPoint, PowerBI
I am very interested in machine learning, working on neural networks and computer vision.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: upper

Certifications and courses: 
Data Science course by DevRepublik
(March 2020- June 2020)

Neural Networks and Deep Learning by Coursera
( Issued: August 2020)

Improving Deep Neural Networks: Hyperparameter tuning,Regularization and Optimization by Coursera
( Issued: September 2020)
Data Scientist
August 2019 - November(1 year 3 month)

-Detect fraud transactions
-Clustering of users by paying capacity
-Gender and age recognition
-Scraping
-Creating Power BI reports
-Creating API with Flask

Stack of technologies:
Python, MySQL, BigQuery, Power BI, Gitlab, Docker
Interested only in  IT companies
Position: Data Scientist
Category: Data Science
Experience: 2.5 years | English: upper


Data Scientist, Bennett Data Science
Sep 2022 - Jan 2023
• Implementing and deploying data processing functions.
• Helping develop new algorithms to improve the system’s accuracy.

Data Scientist, KSE
Jan 2022 - Sep 2022
• Undertaking processing, cleansing and validation of hospital data.
• Presenting health data using data visualisation techniques.
• Conducting time series analysis and forecasting.

Software Developer, Stealth Mode Startup Company
Aug 2021 - Dec 2021
• Developing and integrating the data validation layer into the system.
• Supporting data migration.
• Collaborating with the cross-functional team to build and maintain the application.

Junior Data Scientist, MyCredit
Jun 2020 - Jun 2021
• Undertaking data collection and preprocessing.
• Analysing data to drive improvement of product development.
• Building models to address business problems.
• Developing tools to monitor and analyse system performance.
• Analysing and integrating business rules.

Software Engineer Intern, SAP SE
Dec 2019 - Mar 2020
• Building data processing pipelines and operators.

Software Engineer Intern, Samsung R&D Institute Ukraine
Apr 2019 - Oct 2019
• Preprocessing and analysing biomedical data.
• Developing algorithms in the field of image and signal processing.
• Developing new and improving existing machine learning models.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: fluent


Data Scientist  - Care Technologies 
•  Identifying the business problems that can be solved using data science and machine
learning methods, implementing corresponding models
• Visualizing and analyzing Electrocardiogram (ECG) data
• Detecting, classifying and providing full analytics of arrhythmias

Data Scientist
PrekogAI - AI based fully automated crypto trading system  
• Perform full exploratory analysis on provided data and nd patterns.
• Selecting features, building, and optimizing classiers using machine learning techniques.
• Data mining using state-of-the-art methods.

Articial Intelligence Researcher
Hero House - AI Incubation Program
• Worked on a Chart-Based Cryptocurrency Price Prediction project using
computer vision.
• Researched topics in stock and cryptocurrency markets, technical analysis,
algorithmic trading with machine learning.

 ->Style Transfer (Computer Vision) - applies a style on the input image
->Label classification (Time Series) 
->Sarcasm Detection (NLP)
->Object detection and classification (CNN, MaskRCNN)