lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Scientist, ML Developer
Category: Data Science
Experience: 3 years | English: intermediate

- in a year changed the field of activity from the head of the sales department to the Data Scientist
    - wrote a parser that collected real estate data  and processed it for further storage and model training
    - Reduced mdape error from 10 to 5 percent when modeling property value forecasts.
    - within the framework of the project on the classification of real estate objects by photographs, an accuracy level of 97% was achieved
    - as part of a speech recognition project, I wrote a module for recognizing and converting voice into auditory, and text into text features for further training the model
    - Ph.D. Candidate in Сomputer Science, Odessa National Maritime University, Odessa, Ukraine
- For 2 years I have been involved in a startup that predicts the price of rent, sale and mortgage of real estate objects.

 - During this period, I have developed and implemented more than 40 machine learning models based on Random Forest, XGBoost, LightGBM and others, including on AWS with an error level of up to 5% (incl POI, text description to featrures)

 - I have experience in deploying machine learning models based on the Python, including through the front-end (HTML, CSS) and through the API

 - There is experience in data parsing (BeautifulSoup) and the use of NLP in converting object descriptions into their features (BERT, GloVe, TD-IDF), skills in working with SQL databases

 - Working with geospatial characteristics, clustering (DBSCAN) and detection of anomalous data

 - Time Series based forecasting the dynamics of real estate prices with macroeconomic factors (Linear and Polynomial Regressions, VectorAutoregression, SARIMA, FB Prophet with exogenous factors, interpolation, savgol filter)

 - NLP based classification of Customers (classification by description with vectorization (TF-IDF, GloVe) and modeling (MultinomialNB)),  Property Address mapping, text summarization and classification

 - image classification (Transfer Learning) through more than 20 classes with F-score 97%

 - Speech recognition, auditory features extraction

 - GPT/LLM: gpt for regressor as experiment, text summarization, text paraphraze, titles for images and texts, objects on images

 - Strong analytical skills, ability to understand the essence of the issue, I have a master's degree in systems analysis, candidate for PhD, I like to modernize and improve existing processes
Position: Data Scientist, ml engineer
Category: Data Science
Experience: 4 years | English: upper

implemented  solution  of  surface defect detection reduced  by 6 times cost on labour force 
more accurate forecasting of demand reduced overstock in retail net by 30%
Eva
         Data Scientist
         June 2021 - current
 developed demand prediction system for retail network (tabular data, LightGBM, XGBoost), reduced excessive stocks by 20%
 developed system for legal document verification (OCR, tesseract, OpenCV)
 developing demand prediction for internet store (tabular data)


         EvoPlay
         Data Scientist
         January 2021 - June 2021
 developed and successfully implemented sports modeling that predict outcomes using Markov Chains and that enabled the hole project growth

         uData Tech
         Data Scientist
         March 2019 - January 2021

 developed BI-system based on manufacturer’s goods data 
 scraped online stores for prices on goods
 built ML models to solve customer churn prediction problem for gas stations
 built ML and statistic models for stock price prediction 
 built model for food detection problem
 developed model to predict optimal prices on banners in internet for ukrainian tv channel
 developed methodology for solving surface defect detection problem and implementation it in production
 created surface defect detection system and deployed it on factory 
that helped to reduce amount of workers from 40 to 5




         uData School
         Trainee Data Scientist
         October 2018 - March 2019

 made research and implemented algorithms to solve CPV code prediction based on tender description on Prozorro dataset (NLP problem)
 developed BI-system for Prozorro sales
 built models to solve anomaly detection problem in the parking
Position: Data Scientist / ML engineer
Category: Data Science
Experience: 5 years | English: intermediate

I designed and implemented different projects:
- news ranking & classification;
- user profiles extension; 
- control group creating;
- segments building,
I'm a Data Scientist with 5+ years of experience. I developed and supported more than 10 different projects, that helped our business grow and get more devoted clients, who appreciate our services. 
My key responsible are:
incorporating and evaluating new data sources;
improving the performance of key business metrics;
researching, designing, implementing and deploying machine learning solutions.

I have advanced expertise in solving different tasks - clustering, classification, regression, NLP and time-series problems.
Position: Data Scientist / ML engineer
Category: Data Science
Experience: 2.5 years | English: fluent


Junior data scientist with over 3 years of experience working in a company that provides digital solutions for industrial companies from different sectors and a strong foundation in data analysis and a passion for leveraging data-driven insights to support business decision-making.

My experience includes signal and image processing, developing ML models, and Artificial Neural Networks to effectively solve complex business problems.

I am proficient in performing data cleaning, data preprocessing, and exploratory data analysis to uncover patterns and trends that contribute to actionable recommendations.

I possess practical experience in utilizing Python as a primary programming language for a wide range of data science projects. This includes developing data pipelines, executing effective data analysis, and leveraging popular data science libraries and frameworks such as TensorFlow, Scikit-learn, and Pandas to drive impactful insights and deliver robust solutions.
Position: Data Scientist | ML engineer
Category: Data Science
Experience: 5 years | English: upper

I have completed various projects, including transforming diverse datasets into a unified, user-readable format. I optimized communication campaigns by closely collaborating with other data analysts and data hunter teams. As a Data Scientist, I developed and deployed machine learning models for antifraud projects. Additionally, I automated manual processes using SQL scripting and Python programming.

Throughout my work, I have utilized technologies such as Python, SQL, PySpark, Pandas, NumPy, Scikit-Learn, and TensorFlow. I am proficient in version control systems like Git and have experience in data visualization using tools like Power BI. Statistical analysis and A/B testing has been instrumental in my projects.

In my current role, I collaborate closely with cross-functional teams, including IT and Data teams. I am responsible for optimizing communication campaign decisions, generating insights through data analysis, and conducting A/B tests. My focus is on automating processes and continually improving the data science workflow.

I am committed to continuous improvement and seek to enhance my statistical analysis, predictive modeling, and A/B testing skills. I aspire to deepen my knowledge of machine learning techniques and explore areas such as natural language processing or deep learning. Balancing self-management and dynamic teamwork is an area I am keen on refining to contribute effectively to projects.

My experience demonstrates a strong foundation in data analysis, programming, and statistical methods. I have successfully completed diverse projects, utilized various technologies, and actively pursued growth opportunities to stay at the forefront of my field.
In my various roles, I have completed projects such as transforming datasets, optimizing communication campaigns, developing ML models, and automating processes. I have utilized technologies like Python, SQL, PySpark, Scikit-Learn, and TensorFlow. Currently, I am a Data Analyst and Scientist, collaborating with cross-functional teams to drive insights and improve the data science process. I strive to enhance my skills in areas such as statistical analysis, predictive modeling, and A/B testing. I am eager to contribute my expertise, learn new technologies, and continuously improve in delivering impactful solutions.
Position: Data Scientist, ML engineer
Category: Data Science
Experience: 0.5 years | English: fluent

New York University AI/ML School 2022 advanced track participant (there was no competition though)
Currently, studying Machine Learning and Statistical Learning (theory). Also, I took courses on Deep Learning and Computer Vision, so now I am playing more with DL algorithms.

Before finding my previous job, I have done a few pet-projects with data analysis and machine learning with tabular data.

As a junior data analyst at Beeline Kazakhstan, I:
- created and sustained regular reports using PySpark
- analysed and improvemed existing Machine Learning models (churn model, reactivation model, etc.)
- provided ad-hoc data analysis
- created and improved regular dashboards in PowerBI
Position: Data Scientist, ML engineer
Category: Data Science
Experience: 0.5 years | English: pre

created  model of  sentiment analysis which gives result close to IBM Watson
experience in NLP: custom Sentiment analysis models, custom NER models. In NLP case: working with twitter api
experience in CV: athlete number plate detection and character recognition

Moreover, I have ability: to collect data, solve the problem of missing data, normalize the final data, solve the problem of classification and clustering, write my own api and deploy it, work with cloud hosting resources
Interesting long term projects.
Position: Data Scientist/ ML engineer
Category: Data Science
Experience: 2.5 years | English: fluent


Curious data mining specialist with interdisciplinary  technical degree and commercial experience.

Education:

[BSc]: System Analysis at National Technical University of Ukraine (2017)
[MSc]: Computer Science at University of Tartu (2021)

Experience:

• DataRoot Labs, Kyiv, Ukraine (Sep 2017 - Mar 2018)
Data Science Trainee
Build data science tech stack. Implement ML algorithms & deep learning model's design. Hands-on production-ready technologies

• Mawi, Kyiv, Ukraine (Mar 2018 - Jun 2018)
R&D Engineer
Develop features for a wristband IoT device which helps people to easily control their heart activity in real-time. Automatic detection of significant points from the noisy ECG signal

• KappaZeta, Tartu, Estonia (May 2019 – Sep 2019)
Research Software Engineer Intern
Improve farming activity event detection accuracy by applying custom noise reduction technique. Integrate suggested solution into neural network training pipeline

• TartuNLP Research Group, Tartu, Estonia (Oct 2019 – January 2021)
Research Assistant
Create an API for querying neural machine translation engines. Investigate utility of back-translation during continuous learning

Expertise:
- Math ( Statistics, Probability, Optimization, Linear Algebra, etc.)
- Data Preparation & Analysis
- Machine Learning Software Engineering
- Big Data ELT
- Business Communication

Programming languages:
Python, Bash, SQL

Tools:
Git, Jupyter, Docker, Apache Hadoop

Databases & Web Development:
SQL: PostgresSQL, Oracle
noSQL: MongoDB, CouchDB
Web : Flask, FastAPI
Enthusiastic about extracting and presenting insights from raw data, as well as building intelligent, data-driven solutions that offer direct value.
Position: Data Scientist/ML engineer
Category: Data Science
Experience: 2 years | English: fluent

Job achievements:
- 
- 

Hackathons & Competitions:
- SoftServe hackathon 9/39 (team of 2)
- WiDS2020 competition: 24/950 (team of 3*)

Some online courses:
- MIPT Deep NLP Spring 2020
- NLP by DeepLearning.ai 
- Neural Nets & Deep Learning by Andrew Ng
As a Data Scientist / ML engineer at a mid-scale outsourcing company, I work on internal and external projects, prepare demos and participate in pre-sales/discovery phases for customers.

Key projects:

- Various projects in CV\NLP (incoming contacts classification system,)
- Different discovery\research phases (Image Captioning for interiors, Image\Text Similarity for de-duplication)
- NaUKMA student with Master's degree in Applied Mathematics
- experience with time-series analysis
- data visualization skills
- experience with SQL/NoSQL databases

- took part in presales
Looking for a company to apply and develop my skills, broaden my domain of expertise and grow as a DS-professional
Position: Data Scientist/ML engineer
Category: Python
Experience: 3 years | English: fluent

Kaggle Competitions (2018 - present)
Cinema Challenge Hackathon 2020 (Recommender Systems)
Deloitte Data Science Hackathon 2020 (NLP)
Megogo Hackathon 2018 (Recommender Systems)
Pet projects: 
Website for ARS startup (Angular CLI)
Python parser for extracting earnings releases of selected company  from marketwatch (Python 3.7)
System Analysis labs (PyQt, Python 3.7)
Chess interface (C++)
Guitar Tuner/Metronome (Java)
Database of automotive manufacturing factory (SQLite)
Hi! I am a newly-minted bachelor of System Analysis. Among subjects i studied in university are Linear Algebra, Probability Theory, Statistics and Math Analysis. During previous years I also participated in several ML courses such as Udscourse, AISaturdays, Machine Learning Crash Course by Google, SoloLearn courses on SQL and Python. I have 3+ years of experience with python, ML algorithms and common libraries and tools for data science (jupyter, numpy, pandas, matplotlib, sklearn). I also have experience with using SQL(MySQL) databases and Git. Apart from python, recently I tried myself as Angular CLI developer for university project. I Currently seek a position to continue growing in the areas of ML and DS and to begin implementing my knowledge in real projects.
I hope to find an interesting project that would allow me to grow professionally as well as friendly team with whom I will be able to learn and improve. It would be most interesting for me to work in the areas of natural language processing, recommender systems or computer vision. I definitely do not want to work in Excel and waste time building simple linear regressions.
Position: Data Scientist/ML engineer
Category: Data Science
Experience: 0 years | English: intermediate


I am a Ph.D. student of the last year of study (specialty information systems and technologies) with problem-solving thinking and research skills. I know machine learning algorithms and their mathematical basis. I have experience with Python scientific packages.
List of my skills:
Python knowledge;
Basic Matlab knowledge;
Skills in ML: Regressions, kNN, SVM, PCA, k-means, DNN, CNN, RNN;
Skills in Python libraries for ML and DA: SciKit-Learn, Keras, Pandas, NumPy, SciPy, Matplotlib, Seaborn;
Math knowledge: Linear algebra, Probability theory, Statistics, Calculus;
Development tools: Jupyter, PyCharm.
Development of professional skills, the acquisition of new experience, the use of new technologies.
Position: Data Scientist/ML engineer
Category: Data Science
Experience: 3 years | English: intermediate

I completed my bachelor's degree in NTUU KPI.
I had experience in working with optimization of SQL queries, data analyze, working with big data for 3 years. I used for this SQL Server instruments and got strong knowledge. I have good communication skills with foreign customers and working in multinational team. I can speak in English, Ukrainian, Russian and French.  I am passionate about machine learning (I have a pet project) and really want to be a professional in this direction.
I would like to become like a fish in water in machine learning. My aim to fully understand mathematical methods for solving different kinds of ML problems.
Position: Data Scientist/ML engineer
Category: Data Science
Experience: 0 years | English: upper

By using sklearn library I make custom class for ML wich is searches regression/classification models and optimal parameters with fine tuning
I have experience working with multinational teams.
On my GitHub account you may find my own custom metrics and algorithms for Data Scientics task

I have strong foundation in machine learning, data visualization, clustering and deep learning. I am proficient in using the following frameworks and libraries: SciKit-Learn, Tensorflow, Pandas, Numpy, Matplotlib, Seaborn, English - Advanced
Position: Data Scientist/ML engineer
Category: Data Science
Experience: 2 years | English: upper

Recently, I got the experience of volunteering, our project is used by thousands of Ukrainians across the country, we unite volunteers and those in need. I love when my efforts are useful to people.
Product-oriented, young and promising machine learning engineer with good leadership and interpersonal skills.
Seeking for the position of Data Science/ML roles. Offering 2+ years of commercial experience in Machine
Learning. I work proactively on my products, which I gradually develop into a startup, the main stack of which
is computer vision and natural language processing.
I am interested in a team with a project in the direction of Computer Vision or Natural Language Processing. The purity of my work is important to me, i.e. one of the most important requirements is the absence of extraneous activity. Yes, I have experience with frontend, backend, clouds, but I aim to work exclusively with ML, no frontend, no meetings for the full day.
Position: Data Scientist / ML Engineer
Category: Data Science
Experience: 3 years | English: intermediate

- Development several AI projects from scratch
- PhD (Applied mathematics)
3+ years in ML/AI, experienced in NLP field
- Strong math and academic background
- Languages: Python, SQL, R
- Python (Numpy, Pandas, Scikit-learn, MatPlotLib, flask)
- Data Science: Classical Machine Learning, XGBoost, Deep Neural Networks, CNN, Time-series Forecasting
- NLP (embeddings, transformers, huggingface, spaCy)
- Deep Learning, Neural networks (Tensorflow, Keras)
- Software engineering: OOP, Linux, Git, Algorithms & Data Structures, AWS, MySQL, MSSQL, Docker, Flask

Highlights and experience:
- Price prediction for real estate USA market
- Smart watches data processing (stress estimation and prediction, provide nutrition recommendation)
- Risk assessment, data anonymization and data masking
- Disease risk assessment, recommendation diagnosis for doctor
- Long-term position
- Challenging problems to work on
- Informal and friendly atmosphere
- Working in a team of professionals
Position: Data Scientist / ML Engineer
Category: Data Science
Experience: 3 years | English: fluent

7.5 Academic IELTS
3+ years of active volunteering
Currently getting my second masters degree.

Last  workplace: Data Analytics, some data engineering.

SQL - 3+ years of working experience (BigQuery, Sybase, PostgreSQL/MS SQL)

Python - university projects (analysis, modelling and visualizations) (Numpy, Matplotlib, Pandas, scikit-learn, Altair)
Excel - 3 years in banking industry (reports, pivot tables, charts, data imports)
Experience with BI tools: Power BI, Google Data Studio
Looking to further my knowledge of Python in combination with Statistics and ML. Big fan of diverse databases where I can "dive in" and explore the data.

Expect my next work place to be flexible in giving me an ability to combine studying and working.

Workplace either in Kyiv or Lviv
Position: Data Scientist / ML Engineer
Category: Data Science
Experience: 4 years | English: upper


During last 1.5 years was working on marketing product with clustering and predicting challenges, building & improving ML models and analysing results.
For 0.5 year was working on predicting probability of purchases & analysing and recommending marketing strategies in pharmacy sphere. 
Previously during 2 years was working on ML projects such as predicting probability of repurchasing customer products, analysing marketing efficiency, classification and clustering feedbacks. Significant amount of time spent solving NLP problems analysing feedbacks. 
Experienced in data analysis & pre-processing. Investigated & built a lot of ML models. Created Python and R projects. 
Have Master's Degree in Computer Science.
Looking for interesting projects to develop skills and grow professionally in creative team.
Position: Data Scientist / ML Engineer
Category: Data Science
Experience: 2 years | English: intermediate


Hands-on experience in all stages of the development of machine learning models, from requirements gathering to testing and deploying in production.
Development of ML models for classification and regression tasks. Create ML Pipelines.
Development and support of ETL processes.
Development of models for solving optimization tasks (assignment problem, 3D bin packing problem, transportation problem).
Hands-on experience in building an end-to-end analytics system.
Parsing and collecting data from different sources (Databases, CSV files, third-party APIs).
Position: Data Scientist / ML Engineer
Category: Data Science
Experience: 5 years | English: upper

I have worked for one of the best Georgian bank's chatbot project especially in speech-to-text and text-to-speech parts. As we don't have good NLP models, I trained language models from scratch. That chatbot engine works successfully.
I'm experienced Data Scientist with more than 5 years of experience in software engineering and Machine Learning. I'm proficient in Python and Java and have worked extensively with other programming languages, such as JavaScript and SQL. I know PyTorch and TensorFlow on expert level.
I expect to work with interesting and challenging Engineering team,where I can develop my skills even more. . Turning into a better professional is my ultimate goal.
Position: Data Scientist / ML Engineer
Category: Data Science
Experience: 3 years | English: fluent

My accomplishments at the Eurasian bank:

1) +20% of department’s total deposit sales share during my first 6 months of work 
2) >3 mln USD per month deposits attracted using my ML models 
3) +3% of department’s monthly loan sales conversion (from cold calls to actual loan purchase) 
4) Junior specialists mentorship: served as a mentor to new young professionals in my department, offering guidance and assisting in their growth and skill-building in Data science and analytics
5) Decision making: after 1 year, started contributing to vendor selection decisions for the department
July 2020 - present 
Middle/Middle Strong Data Scientist at the Eurasian Bank JSC
--- Was responsible for ML models development for task such as clients clustering and clients selection for the bank’s products (loans, deposits, credit cards), bank's chat-bot (LLM), as well as analytical dashboards preparation on Power BI.

March 2020 - June 2020
Front-end Developer Intern
--- Almaty-based outsource development company 
1. Built UI components of web application using React JS 
2. Got on well with modern development workflow and Git version control 
3. First ever big experience in IT field

ML Engineer and Data scientist with 3 years of experience. Having expertise in creating ML and DL models. Beside great ML skills, have high-level mathematical, analytical, and leadership skills.
I wish to my future employer to be ready for creating innovative products, that's the only expectation I have. I am very passionate about AI things and would expect my employer to fulfill my demands.