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


Built and deployed the customer rewards system, ecommerce chatbot, ETL script for data transformation from the inventory management system. 
Django, Node.js, Docker, Apache Spark, AWS, GCP.
I am currently the Software Engineer (Backend)
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: upper

A/B tests flow automation with Web application:
- 2x less load on 4 analysts
- faster decision making
- product managers statistics education
- Built a subscription refund, billing retry and pause prediction in production ML pipelines (SQL data source, notebook research, python application development, tests, model validation and deployment, results visualization)
- Made several improvements of subscription LTV, ads LTV and inapp LTV prediction services that redused bias and variance, boosted performance and affected 100+ apps and 3,000,000+ yearly users
- Automated A/B testing flow with Web application (UI and features requirements, close work with backend team, usability testing) that saved 50% of 4 analysts' time
- Automated mobile ads monetization via networks mediation (algorithm implementation, database modeling)
- Made an open source analytic tool library
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: intermediate


Business experience.
Marketing department:
- HR automatic analytics using loyalty program.
- Customers age and emotions detection via security cameras.
- Cusomer segmentation in Kyiv city.
- Minor SQL queries.
- Association analysis of sold products.
- Sales analytics.
- Any machine learning problem.

Algorithms:
- Linear, Logistic, Ridge, Lasso, Decision Tree, Random Forest, Gradient Boosting Regression, XGBoost, LightGBM Regressor, K-means, CatBoost, etc.
- Neural networks: FFNN, DNN, CNN, RNN, YOLO, etc.
- Computer Vision (image recognition, object detection)

Technical stack:
- Python 2/3.
- Jupyter Notebook, Scikit-Learn, XGBoost, CatBoost, Anaconda, TensorFlow, Keras, PyTorch, OpenCV.
- Pandas, SciPy, NumPy, MS Excel.
- Matplotlib, Seaborn.
- MSSQL, SQLite, PostgreSQL, MySQL, MongoDB.
- Flask, Django.
- AWS, GCP, Heroku.
- Linux, Git, Docker.
Making predictions, object detection, recommendation systems. Interested in any project where ML model could be implemented. Expecting an interesting project and a friendly team.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: intermediate

Winner of regional Olympiads in Physics and Mathematics.
Captain of the winning teams at the XXII regional tournament young inventors and innovators, XXVI regional tournament of young physicists and XV regional tournament of young 
economists.
Enrolled in the best technical university in Ukraine ,arguably, on the hardest faculties of all.
Business support agent (september 2020 november 2021):
- Supports of Clients
- Settings of business process
- Management and Work with database
- Visualization of business materials in Figma
- Excel managment
- Evaluate an Employee s Performance
Position: Data Scientist
Category: Data Science
Experience: 11 years | English: intermediate


•	Car counting system in Kiev by Google Maps using neural networks (Tensorflow , MaskRCNN, Python)
•	Create system counting car by video stream (Tensorflow, YOLO, DeepSort, OpenCV)
•	Create system people counting by video stream 
•	Create system car plate recognition by video stream (Tensorflow, MaskRCNN, PosgreSQL)
•	Create system roads signs detection
•	Create system face detection and recognition
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: fluent

In 2019, I received a certificate from Hillel in C#. In 2020, I graduated from the Information Technology Lyceum. From 2020 to 2023, I am getting a bachelor's degree. In 2021, I received a certificate in Python from the Python Institute. In 2022, I received certification from IBM Machine Learning. I participated in a project to predict the temperature of farm plots in the Alentejo region, Portugal.  I worked at CELFINET in a Full-Stack position from July 2022 to September 2022, participated in the development of antenna/signal location visualization and base work for NOS.
CELFINET (Full-Stack)
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: intermediate

I'I always saw myself in IT. In the first year of university, Iworked as Java Junior Developer for a year at Exadelcompany. I did an internship with this company before Ibecame Java Junior Developer.
I lacked math at work, so all tasks seemed monotonous.After working on an article for the III International ScientificSymposium "Intelligent Solutions," I realized I wanted todevelop in the field of Data Science.
Also,
I’m communicative, punctual, responsible, attentive, afast learner.
Chairman of the Jury of Mathematics Olympiads in Kyiv
Jury of competitions of different levels for 3 years
I have a basic knowledge of Python
She conducted research on the topic "Building a maximumvolume simplex for a given set of points." The study introducednew methods that significantly accelerated calculations
Invited to III International Scientific Symposium "IntelligentSolutions", where I will present my article
Head of lecturers of the All-Ukrainian Mathematical SummerSchool "Mathematical Olympim" for Olympiads
I have B2 level of English and continue to study and learn this language further
I hope to get interesting experience and new knowledge. I study on the 3rd course at the university, therefore I hope for a remote work
Position: Data Scientist
Category: Data Analyst
Experience: 2 years | English: fluent

As a financial data scientist, I would have experience working with large financial datasets, cleaning and organizing data, developing machine learning models, and creating reports and visualizations to communicate data insights to stakeholders. I would also have experience using a variety of tools and technologies, such as Python, R, and SQL, to support data analysis and modeling. Additionally, I would have experience collaborating with teams across the organization to understand business needs and identify opportunities for data-driven improvements in the financial industry. This experience would be gained through working on a variety of projects, such as developing predictive models for financial markets, analyzing the performance of investment portfolios, and identifying trends and patterns in financial data.
Cleaned and organized large datasets, ensuring accuracy and completeness of data.
Developed predictive models and algorithms to support business decision-making.
Created reports and dashboards to communicate data insights to stakeholders.
Collaborated with teams across the organization to understand business needs and identify opportunities for data-driven improvements.
I do not want a toxic working environment
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: intermediate


Clustering and relationships between plant speciesClustering and relationships between plant species. Institute of Botany of the Ukrainian Academy of Sciences · FreelanceInstitute of Botany of the Ukrainian Academy of Sciences · Freelance. Apr 2023 - May 2023
A rating system for clustering plant species has been developed. The created system made it possible to develop a well-founded methodology for rapid assessment of the expansive potential of plant ecosystems.
The results were presented in the form of an interactive dashboard Power BI.

Automation of trading signals evaluation. Freelance. January 2023. Introduced a trend reversal signal "hanging man" and "hammer" as a formula for analysis. Created a program that tracks these signals in any time series of trading pairs. The ratio of true and false indicators of trend change for 5 currency pairs has been calculated. Pandas.

Analysis of anime descriptions. Freelance.  December 2022. Parsed descriptions of anime, created Sqlite3 database. Used a frequency dictionary and neural networks to test the hypothesis that the anime rating depends on its description. Create a PowerBI dashboard to present results of parsing.

Estimation of the financial performance of a trader. Freelance. November 2022. Parsed two years trading data. Tested hypotheses about the most successful actions using regression analysis and confidence intervals. Pandas, Scikit-learn.

Kaggle competition  Big Data Derby 2022. September 2022 - November 2022. Analyzed data to increase the chances of winning for jockeys during the races. Developed a Statistical Model to determine winning strategy.  The result: plots with visual representation of the winner's patterns. Pandas.

Internship at the University of Artificial Intelligence.  July 2021 — July 2022. 
Improved NN credit score accuracy by 2.6% compared to the old SVM model. 
Designed a model with better accuracy from Random Forest, KNN and a neural network (better by 6%) for the base of no-showing  clients at the barbershop. 
Diploma project. Collected a database of words with the correct pronunciation. Wrote functions for parsing, evaluation and visualization. Designed an autoencoder and classifier to evaluate the pronunciation of the sound [ai] of the English language.
Position: Data Scientist
Category: Data Science
Experience: 8 years | English: intermediate


-  Clustering and segmentation (stores, assortment, customers) 
-  Forecasting and modelling (sales, promo, margin, market share, pricing, elasticity, etc) 
-  Strategy and investment models creation and defending 
-  All ad hoc analysis providing and ad hoc methodologies creation (variance analysis, fraud analysis, consumer analysis, etc)
-  Сreation and verification of motivational programs
-  More than 5 years of managerial experience
Work and professional growth in strategic planning,  business and data analysis in a company that encourages:
 - combination of analytical and creative thinking
 - fast and accurate understanding of the complex systems processes
 - desire and ability to "see the full picture".
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: fluent

- Bachelor degree in Economics
- Data Science courses (Coursera, Codecademy, Dev Republik Bootcamp (150 hours));
- Independently developed a small healthcare application using Data Science tools to predict a probability of stroke a user has;
- Create currently used financial models in exсel for companies in various industries.
Coding - Python, SQL, VBA

DS - data exploration, analysis and visualization, anomaly detection, A/B testing, Machine Learning algorithms (linear regression, logistic regression, k-NN, CART, SVM,  boosting algorithms, NN, k-means, hierarchical clustering, PCA)

Tools - numpy, pandas, scipy, matplotlib, seaborn, plotly, scikit-learn,  keras

Other - Excel, Power BI, BigQuery

Experience - 6 years of experience as a financial analyst (business planning, financial modeling in Exсel using VBA, marketing research, investment consulting, etc.)

I like to solve complex up-to-date problems and know that my work is significant. I am interested in working with data, because I consider the sphere itself to be interesting and promising, and from my part, I strive for new levels of professional development. Among my positive qualities, I can single out perseverance, ability to study and understand technical information, developed communication skills, interest in new complex and unusual projects.
I am looking for interesting and challenging tasks in a company where my knowledge and skills can be used in an efficient way - a great place to start a new career turn.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: fluent

I achieved 22/22(A1) the highest score in Programming1(Pyhton) at uni in Scotland
I achieved 88/10 c++ at KNU
IELTS 6.5(B2) aug'22
Cofee machine (Js, html/css)
copy of google's weather forecast (API, js)
"chat" application (node.js, js, html/css, bootstrap)

Now, I study oop(python) and algorithms in the university of Aberdeen in Scotland.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: upper


Collecting data from HLTV / DotaBuff to analyze time series for a certain period of eSports disciplines. Testing own generated strategies by calculating factors probability in the game on Pre-Match/Live markets to get profit.
Fintech, eSports, GameDev
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: upper


Company 1| 07.2021 - Present
-Incorporate and evaluate new data sources. 
-Exploit predictive power of user histories in real-time and -other algorithms.
-Generate new data based on prediction. 
-Generate predictive and other models.
Company 2 | 02.2019 – 07.2021
-Creating predictive pipelines including developing structure, data flow and visualization for prediction process. 
-Clustering and prediction using medical record data.
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper

-- Winner of a few hackathons
-- Graduate of McKinsey Virtual Academy
-- Microsoft Learn Student  Ambassador
Completed 2 internships in international research institutions, one of them in South Korea. Most interesting projects: visitors` flow optimization for the museum.

Ongoing Masters in UX Analytics, switched from Masters in Data Science. Bachelor in System Analysis. Recently started course work in university about interpretability of machine learning algorithms.

My pet projects:
-- chatbot for coffee shop
-- board game about polar bears' survival
Looking for a full-time Data Scientist / Data Analyst job
Not NLP, Deep Learning
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: upper

My bachelor's thesis is a good one. 

- Achieved great results for the task (according to 
 the listeners' survey).
- Read tons of papers.
- Debugged and refactored lots of lines of Google Magenta's code.
- Conducted an ablation study that shows which part of the architecture is crucial for the timbre transfer capabilities (as opposed to the audio resynthesis ones).
- Partially adapted the model for the real-time usage. Gained experience with TensorFlow internals and TensorFlow Lite format, as well as built-in optimizations and quirks associated with them.
- Completed a bachelor's thesis titled "MIDI-DDSP architecture for the task of timbre transfer for monophonic musical instruments". 
- Proposed an improved approach for the problem, conducted ablation study. 
- Have experience with deployment and optimization of the TFLite models and C++ TensorFlow API.


- 2 years of commercial experience in AAA game development (UE5/C++ game, engine and rendering programming). 
- Was responsible for complex feature that included object generation, animations and editor extensions.
- Implemented a handy tool for level designers.
- Continuously collaborated with designers on the refinement of several game mechanics.
- Worked on a game for mobile devices.


- Finished Deep Learning Specialization (2-4)
I like:

- Healthy environment that encourage initiative and creativity.
- Clearly defined responsibility. 
- General human values.
- Honesty.

Looking for part-time project.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: intermediate

I took courses about fundamental ML in the DRU lab via Slack, Coursera, and Datacamp paths. Learned AWS technologies and basic DevOps principles. My university course works help me to reach good knowledge in computer science and SQL.
Completed final projects on Slack lab courses. Participated in Hackatones IASA and INT20H, where get experience with real-world data, and end-to-end modeling. In last of them won 2nd place and created a solution for the ETA geo task.
Work for an NLP-oriented startup, where work as a data scientist and mlops.
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: upper

Meet or exceed clients needs by providing high quality analytical products
Effective communication & presentations to clients
Internal processes optimization
Comprehensive data analyses
Econometric modeling
Data visualization
Project management
Presentation skills
Analytical thinking
Fast learning
Proactivity
MS Excel
MS PowerPoint
Answers
Survey Software
Modelling Software
MS Access
VBA
Spotfire
I'm expertized media & market research analyst with 5,5 years experience and excellent project management skills, proactive and focused on the result. Currently I'm open for new opportunities and will be happy to have an interview in your company
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: pre

1. Programming languages: Python, SQL
2. Data manipulation and analysis: Pandas, NumPy
3. Machine learning frameworks and libraries: Scikit-learn, TensorFlow, XGBoost
4. Data Mining and Exploration: Experience with exploratory data analysis techniques, feature selection, and dimensionality reduction methods.
5. Statistical analysis: Regression analysis, time series analysis
6. Data visualization: Matplotlib, Seaborn
7. Data Extraction and Transformation: Knowledge of data extraction techniques from various sources, and web scraping. Familiarity with tools like BeautifulSoup
Conducted exploratory data analysis (EDA) on data collected from Wiliot's battery-free Bluetooth tags to identify patterns, correlations, and anomalies.
Assisted in the development and implementation of machine learning models to extract insights and improve product performance.
Engaged in feature engineering, transforming raw sensor data into meaningful variables to enhance model accuracy and predictive capabilities. 
Used Postman for API testing.
Position: Data Scientist
Category: Python
Experience: 2 years | English: fluent


Construction equipment and safety violation detection						
Position:	Machine Learning Engineer					
Client:	Australian Company                                  					
Product:	Web-based and cross-platform mobile application 					
Industry:	Constructions					
"The solution is a web-based and cross-platform mobile application with Machine Learning CV algorithms at core. Using YOLOv5 to detect cases of possible safety violations, misplaced machinery or materials, inappropriate.
Responsibilities: Machine Learning model development, training, maintenance and deployment, development of backend features. "						
Project Technologies Stack:						
Python, PyTorch, FastAPI, AWS						
						
The Platform for Choosing a Career Path						
Position:	Machine Learning Engineer					
Client:	US Company                                  					
Product:	Web-based and cross-platform mobile application 					
Industry:	HR, Recruiting, Social Networks					
Overview:						
"The solution is a web-based and cross-platform mobile application with Machine Learning and Data modeling capabilities. Project mission: help people work happy, live balanced, feel fulfilled; assistance in navigation of the ocean of careers to find the path to dream roles that best suits someone’s passions, purpose, skills, and strengths.
The Platform helps user to find his path and get after it by using technology to identify the careers that best fit user's skill set, lifestyle, experiences, and interests.
Responsibilities: Machine Learning model (that provides scoring and recommendation services) maintenance and deployment, development of backend features. "						
Project Technologies Stack:						
Python, Doc2Vec, TensorFlow, Django, ReactJS, Flutter, Gensim, FastAPI, AWS						
						
Mobile dance game 						
Position:	Machine Learning Engineer					
Industry:	GameDev					
Overview:						
Mobile game powered by ML pose estimation solution translating to 3d-avatar.						
Project Technologies Stack:						
Unity, ONNX, Tensorflow, TF-Lite, PyTorch, OpenCV, Google Mediapipe, Pandas, Redis AWS						
						
Healthcare Covid-19 Project 						
Position:	Machine Learning Engineer Trainee					
Industry:	Healthcare					
Overview:						
Computer Vision application called to help doctors to analyze chest X-ray imagery to diagnose Covid-19 presence.						
Project Technologies Stack:						
Tensorflow, Keras, PyTorch, OpenCV, pandas
Цікава вмотивована команда.
Цікавий проєкт де є можливість розвиватися.
Подобається працювати сконцентрованим на одному проєкті, коли є поле відповідальності і я реалізовую задачу. 
Подобається можливість обговорювати бізнес задачі як з клієнтом так і всередині команди.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: fluent

Developed and delivered several state-of-the-art ML models for stock market/sports analysis including reinforcement learning and deep learning. Developed custom-built ML algorithms. Optimized ML algorithms both CPU and GPU. Processed Google Analytics Data and provided customer analytics and predictions
C#, Python, .Net, R
Tensorflow, Keras, Scikit-Learn, Numpy, Pandas, Seaborn, OpenCV, Fintech, Quandl, Deep Learning, Reinforcement Learning, Cluster Analysis, Regression Analysis, Genetic Algorithms, Machine Learning, Time Series, Statistics, Signal Processing, Computer Vision.
MySql, MS-SQL, Redis, MS Dynamics, Google Analytics.
GPU computations, Parallel/Concurrent Programming.
TDD, DDD, OOP, Continuous Integration 
Git, TFS, Mercurial
Looking for Data Science, Machine Learning/Artificial Intelligence projects with cutting edge technologies
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: fluent

My greatest accomplishment was when I increased the profit of a sales company by given them data driven decisions on how to make more customers buy more goods by placing them in the right order.
Market Basket Analysis
Created and maintained monthly powerBI dashboards to show total amounts paid by different clients and stakeholders and showed which project category had the highest profit. 
•  Implemented predictive and prescriptive analysis with 100% integrity using regression model on phyton to solve real business problems and management of resources.
•  Generated an 8% increase in total revenue by maintaining the company data integrity using different tools and reports.
•  Automated end-to-end reporting process in Python and SQL server reducing long hours of human labor and decreasing operating costs by 15%.
•  Acknowledged with a score of 70% for teamwork performance.
One expectation my previous employer had for me as a data scientist was that I would display my analytical abilities through special projects and tasks. I met this expectation. For example, my employer tasked me in predicting different valuable for different clients using regression analysis on python and also show relationship rule using market basket analysis. In this role, I provided new sales parameters and data driven decisions with feedback while also continuing to meet the expectations for my role.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: fluent

As a data scientist, I applied my skills of understanding and structuring business processes, to design the logic of optimizing routes planning for one of the biggest logistics companies in the world
Created financial transaction success predictor based on XGBoost with REST API based on Flask-RESTful
Built RNN based predictive model for fuel consumption
Developed logic for optimizing routing planning
Built text-sentiment classifier that uses hierarchical attention mechanism
Created facial recognition program based on open-source frameworks
Applied CNN to graph database for fraud detection
Performs initial contact with potential clients to understand their need in data science services
While being senior auditor in EY I managed teams up to 12 people (including remote locations)
Many years of practical experience in finance as auditor of financial institutions
I would like to work on projects that will go into production, into real world. The projects that won't stay "on paper". 
Also it is highly preferable to work in multinational teams.