lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Scientist |  Machine Learning Engineer | MLOps | Data Engineer
Category: Data Science
Experience: 4 years | English: fluent

I have done many experimental researches on various segment on machine learning.
I have built data engineering structures for 2 companies I worked from scratch.
Hello, 
I have 4 years of experience to work as Data Scientist and Data Engineer
- I can and did build Text summarizing, QA, Chatbots,  Named Entity Recognition on scale from end to end including devops processing.
- I have experience with various computer vision tasks such as Image classification, Text to Image, Image segmentation, etc
- I have experience in data engineering wir building ETL pipelines using Python, DBT, databricks, airflow, etc.
- I have experience with customer focused Machine Learning products such as churn prediction, conversion rate optimization, recommendation, anomaly detection, etc.

Tools&Stacks;

Coding; Python.
Data engineering; DBT, AWS, GCP, databricks, Airflow, Tableau.
Databases; MySQL, PostgreSQL, Bigquery, mongodb.
ML frameworks; Pytorch, Keras, Sklearn, transformers, Opencv.
A friendly and challanging enviroment
Position: Data Scientist/Machine Learning Engineer/NLP Engineer
Category: Data Science
Experience: 0.5 years | English: intermediate

LVIV DATA SCIENCE SUMMER SCHOOL                                                                                            Lviv, Ukraine                                                                                                                               Jul 2018 – Aug 2018
Courses: Statistical Inference, Machine Learning, Data Visualization, Computer Vision, Natural Language Processing.

GENESIS DATA SCIENCE SCHOOL                                                                                                     Kyiv, Ukraine                                                                                                                                  Jan 2018 – Mar 2018
Skills: Business intelligence (A/B tests, Tableau), Data Science (Machine Learning, Recommendation Systems, Natural Language Processing, NN).


Курсы:
How to Use Git and GitHub https://classroom.udacity.com/courses/ud775

Bertelsmann Data Science Challenge Scholarship Course https://classroom.udacity.com/courses/ud002-bert

SQL Fundamentals course from SoloLearn https://www.sololearn.com/Certificate/1060-3748579/pdf/

Python 3 Tutorial course https://www.sololearn.com/Certificate/1073-3748579/pdf/

Intro to Python for Data Science Course https://www.datacamp.com/statement-of-accomplishment/course/7d9f79c607087ced4db511b6f0186b4871d4937a

Intermediate Python for Data Science Course https://www.datacamp.com/statement-of-accomplishment/course/ed3821451105eae94b971d77ee84f52b77eef517

Математика и Python для анализа данных 
https://www.coursera.org/account/accomplishments/verify/9HGHCKJEWNLB
ЦЕНТР КОНТЕНТ­-АНАЛІЗУ (Nov 2018 ­ - May 2019)

 Hand on experience with NLP (python, sklearn, pymorphy, nltk, fuzzywuzzy).
 Developed model of sentiment analysis in news (based on dictionary).
 Created news clusterization and classification by themes (TF­IDF, k­means, logistic regression,
naive Bayes, SVM, levenshtein distance, cosine similarity, LDA, LSA).
 Developed model of news coverage.
 Worked on date parser and date converter to a standard format (dateparser, yargy, dateutil).
 Worked with database (postgreSQL, mongodb, redis, elasticsearch, neo4j).
I expect from my future job the opportunity to learn and improve my skills, get new and helpful experience and interesting projects.
Position: Data scientist / Machine learning engineer / Researcher
Category: Data Science
Experience: 5 years | English: upper

- Developed with my team successfull Credit Cards / Documents text recognition MVP
- Developed a synthetic data generator for text detection/recognition
- Developed with my team successfull Text to Speech MVP
- Increased risk model prediction accuracy by 3-5%
- Developed chatbot (deep learning model + algorithm) with API for user customer service
- Developed system for predicting cryptocurrency price spikes
- Developed voice cloning MVP
- Startup co-founder, develop whole web application with one team member
Machine Learning Engineer (Moneyveo)
March 2020 - February 2022 (2 years)
Text detection/recognition, OCR, Text to speech, fraud detection, risk scoring, 
Data Scientist (EDC Blockchain)
June 2019 - January 2020 (8 month)
Chatbot, question answering, text classification, market price spikes detection, controlled semantically dependent text generation, web scrapping
Research Engineer (ARVI Lab)
May 2018 - May 2019 (1 year 1 month)
Text to speech,  NLP, Computer vision, web scrapping, voice cloning, text emotion recognition, image foreground extraction, semantic segmentation
Co-founder / Full-stack python developer (Bookmeal)
Feb 2018 - May 2019 (1 year 4 month)
front-end, back-end, database engineering, integrating payment service, admin page
Full-Stack Developer (Viyar)
Jun 2017 - Dec 2017
Development of a project for creating furniture components using PHP, JavaScript, Angular, jQuery. Programs for machines, visualization, validation. - Made an application for constructing an equidistant figure.
Progress as a true professional, get tons of knowledge and work with team members on interesting projects. Improve skills in Deep Learning. Preferably to have at least one person in the team.
Position: Data Scientist | Machine Learning Engineer | Researcher
Category: Data Science
Experience: 3 years | English: pre

2022, Academic Rank of Senior Researcher
2018, President's Award Winner
2015, Academic Degree of Doctor of Philosophy
Education.
Doctor of Philosophy (PhD). Engineering Science.
Master's degree. Applied Mathematics, Software Engineering.

Professional background.
16 years Researching, Mathematical Modeling, Software Engineering, Data Analysis.
3+ years Researching with DS/ML, Building and Implementing Models in Expert Systems parts.

Skills.
Research and Development Engineering.
Scientific Researching with DS/ML.
Desktop Windows Development.
Database Development.
Mathematical Modeling.
Data Analysis.
Teamwork on an interesting project.
Position: Data Scientist, Machine Learning Engineer/Scientist
Category: Data Science
Experience: 3 years | English: fluent


A Charles University graduate with the highest distinction. As can be inferred from my in-depth profile, I have relevant expertise in three different sectors, ranging from insurance to ML solutions to, eventually, banking. In case interested, drop me a message!
Position: Data Scientist/ Machine Learning Engineer trainee
Category: Data Science
Experience: 0.5 years | English: fluent


Projects experience:
Coca-Cola partners rating project
Data-analysis-based project for ranking business partners.Developed various regressive models with IVs & multiple dummies
for classification task. Performed data preprocessing using PySpark and visualized data with Pandas and Power BI.

Super Resolution for Videos project
Adopted Multi-Frame super-resolution algorithm implemented in phone cameras for video upscaling. Mainly worked with the OpenCV library for python. 

Vienna MedTech Summer School project
Research project dealing with estimating the height of jumps for schools' PE lessons. Statistical data analysis & visualization in excel, presentation preparation, and work with the Vicon system.
Position: Data Scientist Machine Learning Junior
Category: Data Science
Experience: 0.5 years | English: fluent

I graduated Kyiv National Taras Schevchenko University  
Faculty of Radiophysics, Computer systems and Electronics.
I worked as a Teacher in English school. I teach Mathematic,Science, etc (all lessons in English).
I completed course "Lightning Bits: Essential Computing Skills" (Lightning AI).
I'm taking a course for machine learning cs231n.
I worked with the following tasks: Image Classification, kNN, SVM, Softmax, Fully-Connected Neural Network.
Also, I made realization Machine learning model for 10 classes from scrantch, tried different losses: crossentropy loss, hinge loss, etc.
I made crossvalidation of model.
I would like to get job in Machine learning or Data science field, because it's my passion. I hope that someone helps me to find my first job in this field.
Position: Data Scientist / Machine Learning ML R&D Engineer
Category: Data Science
Experience: 5 years | English: fluent

- by adding improvements to the novel anomaly detection model I was able to reduce false negative rate by 30%
- by designing an AutoML pipeline framework, I was able to decrease hyperparameters tuning time from ~5.5h to ~30m
- mentorship and technical interviewing experience
As ML Engineer, I've worked on search and ranking using Python, AWS, ELK stack, and Airflow.

As Data Scientist on another project, I was responsible for data analysis and MVP prototyping of data-heavy products for a client operating in the mining industry. Technologies utilized were Python, GCP, and Airflow.

On another project, I've designed scalable data processing and modeling pipeline architecture. I also did research and implementation of novel methods of Outlier Detection, Hyperparameters Optimization and Unsupervised Anomaly Detection in Time Series data.
Technologies:
Python, MATLAB, pytorch, scikit-learn, pyod, ray, AWS S3, EC2, ECR

As a Middle Machine Learning Engineer, I've worked on personalised recommendation system for adtech product company. Technologies: Python, pytorch, catboost, scikit-learn, plotly, AWS S3, EC2, ECR

The first title I had was Junior Computer Vision Engineer, where I was responsible for data preprocessing, visualization and statistical modeling. I have also worked on a camera-to-LiDAR auto-calibration, Driver Face Recognition and Gaze Tracking, as well as Multi-object tracking on LiDAR data.
Technologies:
C++, OpenCV, Python, pytorch
I am mostly interested in:
- Recommendation systems and search
- Anomaly detection and predictive maintenance
- Time series analysis

If the project or idea is interesting, I am capable of working with:
- Computer Vision
- NLP

I will ignore the following domains:
- Data Engineering
Position: Data Scientist, Machine Learning, Python developer, Web developer
Category: Data Science
Experience: 1 years | English: intermediate


Mathematics and statistics, Data Science, Deep Learning, Machine learning. Front-end development(HTML, CSS, JavaScript), Back-end development(Python, PHP). Python Frameworks: Django, Flask. Haxe, actionscript, C++. Strong knowledge of OOP.
Professional advancement
Position: Data Scientist / Machine Learning Research Engineer
Category: Data Science
Experience: 5 years | English: fluent

I have few accomplishments that I'd be glad to share privately.
4+ years of commercial Machine Learning R&D experience. 8+ years of software R&D experience.

— Experіence designing, testing, and deployіng machine learning systems and pipelines into productіon.
— Experіence building software products and startups from the ground up.
— Experience workіng remotely across different cultures.
— Strong analytical and problem-solving skills.
— Good communication and іnterpersonal skills.
Looking to join a startup in the life sciences domain. Pretty flexible in terms of salary but would like to have an option to get shares in the company.
Position: Data Scientist / Machine Learning Specialist
Category: Data Science
Experience: 0 years | English: intermediate

Several times top-ranked student, GPA: 96.
Achieved a max possible grade for the coursework of Implementation Face Recognition System.
Visiting research student in Canada, engaging in a ML (CV) project. Working on a research paper.
Erasmus+ exchange student in Finland.
As a Visiting Researcher at the Vision and Image Processing Lab, University of Waterloo, my responsibilities include analyzing spatial relationships within Hyperspectral Imaging data, developing machine learning and deep learning models to address spectral mixture effects, and conducting comparative studies on real-world datasets. 

During my academic journey, pursuing a Bachelor of Computer Science at the National University of Kyiv-Mohyla Academy, I have developed Face Recognition System as my coursework, where I gained practical experience in deploying advanced models. 

Additionally, during my international exchange at the University of Helsinki, I completed courses such as Data Science, Machine Learning, Advanced Machine Learning, Deep Learning, and Statistics. These courses provided me with a strong foundation in data analysis, machine learning algorithms, and advanced techniques like deep learning, enhancing my ability to contribute effectively to research and projects in the field.
Position: Data Scientist / Machine Learning Specialist
Category: Data Science
Experience: 11 years | English: upper

Data preprocessing, regression, classification, clustering, association rule learning, reinforcement learning, natural language, deep learning, dimensionality reduction, model selection&boosting
ANN, CNN, RNN,GAN, UNet, DarkNet, AIS, MIDAS, DarkNet, NLP, (S)ARIMA, OpenCV, BERT, Transformers, LSTM-RNN,,etc. 
Collect, analyze, and visualize data
I am an expert in data science, machine learning, and business analysis with a strong background in math, physics, and technologies.
I've a good soft skills and extensive experience in communication with representatives of business, administrative institutions, science, as well as ordinary employees and top managers of companies working in various fields and areas. 
Extensive experience in working with data and machine learning, as well as practical analysis of business processes and projects allow me the following:
• to design and implement data models in Python with Keras, Tensorflow, Scikit-Learn, Pandas, Numpy, Matplotlib, Seaborn, PyCharm, PyTorch, OpenCV, etc.
• to work effectively with machine learning models (data preprocessing, regression, classification, clustering, learning association rules, reinforcement learning, natural language processing, deep learning, dimensional reduction, model selection and upgrade, etc.)
• to find creative solutions to deep/machine learning problems
• to develop visions and concepts of technological solutions
• to develop effective technological approaches, models and methods
• to manage, optimize and evaluate business processes and projects
• to develop financial and economic models
The knowledge and experience gained over the years of work help me to freely navigate in various business systems and quickly find effective solutions to complex problems, as well as to propose, substantiate and develop the methods and technologies for their implementation. 
The main goal that I set myself when solving a problem is to implement an integrated approach from concept development to a real product that “can be felt with my hands”. 
With the ability and skills to achieve the goals on my own, I mostly consider myself as a team player 

	Data science and machine learning: Keras, Tensorflow, Scikit-Learn, Pandas, Numpy, Matplotlib, Seaborn, PyCharm,  PyTorch, OpenCV, Flask, Flask extensions, Requests, BeautifulSoup / CNN, RNN, GAN, AIS, DarkNet, MIDAS, YOLO, UNET, (S)ARIMA, BERT, Transformers, LSTM
	Business analysis
	Both waterfall and Agile: SAFe, Scrum and Kanban
	Familiar with any Trackers and Management tools - MS Project, Spider, Merlin, Jira + Confluence
	All around Understanding of SDLC, XML, SQL, BPMN, UML notation and CASE- tools, UX/UI design, API, BDD + Gherkin, Web
	Skills of converting business visions to POCs' & MVPs' scopes
	Able to work with large volumes of information
Position: Data Scientist / Machine Learning Specialist
Category: Data Science
Experience: 4 years | English: fluent


I have a big experience in such fields of Data Science and Machine Learning, as:
• data analysis and preprocessing
• testing, developing and fine-tuning different ML models
• time series analysis
• image detection and recognition

Technical skills:
• Programming languages: Python
• AI and ML Libraries: Pandas, Mathplotlib, Scikit-Learn, Tensorflow, PyTorch, GluonTS, opencv
• Databases: MySQL, SQLite, Snowflake
• Cloud services: AWS
• Familiar with git, Hadoop, JIRA

Recent projects I took part in:
• Time series prediction for the sport goods retail company
• Traffic sign recognition and detection for German customer
• Damage detection on the concrete walls for German customer
• EEG data processing and visualisation for the medical startup

Seeking an opportunity to solve interesting tasks in the fields of Machine Learning and Data Science. Got a special interests for the projects connected with Natural language processing, image recognition and biotechnologies.
Position: Data Scientist/ Machine Learning Specialist
Category: Data Science
Experience: 3 years | English: fluent

Machine Learning 
+ experience - 2 years
  + Supervised Learning:
     - Email filtering/classification project
   + Unsupervised Learnig:
     - Image segmentation project
Data Science 
+ experience - 1 year
+ R, Scala


I have worked on the Image Processing Applications for Medical Researchers for 2 years. Technologies used : C++, Qt.
Machine Learning 
+ experience - 2 years
  + Supervised Learning:
     - Email filtering/classification project
   + Unsupervised Learing:
     - Image segmentation project
Data Science 
+ experience - 1 year
+ R, Scala

Aside from the above, I have worked on the Image Processing Applications for Medical Researchers for 2 years. Technologies used : C++, Qt. 
More details can be sent via email.
Position: Data scientist, mathematician-researcher
Category: Data Science
Experience: 11 years | English: upper

My duties:
-  the mathematical formulation of the problem;
- the choice of the method of solving the problem, or development the method based on the existing methods;
- algorithm development, the fulfillment of this algorithm by one of the most convenient languages (MATLAB, Scilab, Python);
-  debugging and transferring to the other specialists for integrating into the finished software product.

2014  – grant holder of the fund named N.I. Akhiezer for young mathematicians of the Kharkov Mathematical Society
Skills.
1)	Correlation analysis, сluster analysis, statistics;
2)	Applied analysis of random data, Time Series Analysis, Spectral analysis (wavelet transform, fast Fourier transform, method of the spectral characteristics);
3)	Machine Learning: linear and nonlinear regression analysis, neural networks, deep learning, group method of data handling,  principal component analysis, singular spectrum analysis, genetic algorithms etc.;
Deep Machine Learning, Convolution Neural Networks end etc.;
4)	Computer vision algorithms: Image manipulation (resize, blurring, filtering),
Image gradients (Sobel, image profiles, 1st and 2nd derivative, Hessian matrix), Image thresholding (global, adaptive), histograms (hist matching, hist construction, hist equalization, CLAHE), Canny edge detector, Hough transform , Morphological operators (erosion, dilation, closing, opening), Contours detection, Corner detection (Shi-Tomasi, Harris), Template matching, Keypoint detection (FAST), Local descriptors (ORB, SURF), Image matching, warping and stitching, Homography, Optical flow and etc.,
OpenCV modules;

5)	Problems of identification (Kalman filtering and etc.), self-learning models, probability models, stochastic control, numerical methods;
6)	MATLAB, MAPLE, Python (Pandas, Numpy, Mathlib and etc.)
7)    SQL
Or I'm ready to learn other programming languages.
Position: Data scientist (mid/sr), Machine Learning engineer (mid/sr), BI
Category: Other
Experience: 10 years | English: fluent

My projects involved..
Anomaly detection: Electric Usage and Demand outliers detection for large US chain store company
Dependency Modeling: 2nd purchase behavior for retail customer; Re-Tweet vs Followers modeling
Clustering: Retail customers behavior analytics
Regression: Electric Demand and Price modelling
Summarization: Retail analytics/Dashboards, Twitter/Instagram data geospatial presentation
Process mining
+ R, SQL, Excel, QlikView, Tableau
+ Statistics, exploratory analysis, predictive analytics, machine learning, neural nets
+ basic JS, d3.js, Python, Flask, Apache Spark
+ managing small teams
+ Mooc fan and easy learner
Position: Data Scientist, ML/CV Engineer
Category: Data Science
Experience: 4 years | English: fluent


I worked as a research fellow at the Czech Technical University in Prague on a research-commercial computer vision project for 2.5 years. Developed a novel algorithm for image reflection removal in a team of three. Primary technology: PyTorch.

Worked as a data science consultant for several companies for 1.5 years. Consulted on data science, statistics, pricing, big data, machine learning, and computer vision. Contributed to developing algorithms for automated pricing, natural language processing, image recognition, and computer vision. 

Worked as a machine learning engineer in computer vision in a team of five. Developed a pipeline for automated camera control and recording. The pipeline included several machine learning algorithms for tracking, human position detection, and voice and face recognition.
Position: Data Scientist / ML developer
Category: Data Science
Experience: 4 years | English: fluent

I developed a collision prediction system.
I suggested using other neural net architecture (CNN -> transformers). I researched the SOTA papers, trained the most applicable model on our data, and integrated it into an existing pipeline.
I suggested and implemented automated testing and reporting, which previously was manual (each manual iteration took ~2 hours).

I proposed an approach for adversarial attacks on OCR (Tesseract) for my bachelor's thesis.
Scholarship holder at Ukrainian Catholic University. Teacher assistant for Python course (lectured and created new projects for students). I proposed and implemented: 4 big group projects, 12 workshops in Colab, and a git workshop for 100 people. I managed a team varying from 2 to 5 people. I also gave lectures.
For my master's thesis, I proposed a novel model-based method to improve the camera calibration's feature detection step.
3.5 years of work in GlobalLogic as a computer vision engineer on an automotive project. Sensor fusion using classical CV in C++/python.

One year of work at Samsung as a CV engineer. The project is about image understanding, utilizing deep learning and classical CV approaches.

I have a bachelor's in computer sciences from the Taras Shevchenko National University of Kyiv and a master's in data science from the Ukrainian Catholic University.
1.5 years of non-commercial experience in the UNIT Factory. C/C++ projects, python, dozen small group projects, each in a different language (golang, lisp, PHP, javascript, java).
I am looking for a position where I'll improve my research, ML, and programming skills. I'm mostly interested in R&D.
I also value exciting and passionate people.
Also, I need to be able to handle my time. It's acceptable to have occasional emergencies, but I won't be able to handle constant tasks "due tomorrow".