lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Scientist NLP / Machine Learning Developer
Category: Data Science
Experience: 2 years | English: upper

Yandex and MIPT specialization "Machine learning and data analysis"
Professional certification prep course "Google TensorFlow Developer"
Neural Networks for NLP by Samsung Research
I have hands-on working experience with Python .
Skills:
+ Data collection and extraction (external APIs; scraping, parsing)
+ Data processing, aggregations (MongoDB (MQL), PostreSQL (SQL))
+ Working with classical data science toolkit : scikit-learn, xgboost, keras.
+ I specialize in natural language processing (NLP):  language models, vectorization, topic modeling. Familiarity with following tools: gensim, natasha, spacy, keras (tensorflow) for NLP tasks, as well as pytorch, transformers.
+ I feel comfortable integrating things together, working outside of jupyter notebooks. 
+ API development and micro-service architecture.

Projects:
+ Application for sentiment analysis of product reviews for English and Russian: several implementation from classical baselines, continuing with Keras neural networks and filnally with transfer learning, API endpoint by flask, webUI; data collection and labeling by hand;
+ Text generation work, based on LSTM-nets;
+ Text summarization work and application;
+ Punctuation restoration project: LSTM written in PyTorch;
+ Keyword generation work: applied topic modeling by gensim and syntactic parsing by spaCy;
+ Work on classifying company operation codes based on transaction graph;
+ Project for an American company for email automation: intent classification, entity extraction, FastAPI endpoint and demo interface;
+ Non-ML projects can be found on my github page.

I have job experience as developer in analytical company, currently I'm working with industrial NLP, with emphasis on text classification and entity extraction.
I am comfortable with the following tools: git, docker, docker-compose, other tools of good software engineer; confident Linux user.
I'm looking for "ML developer", "Data Science developer" or "Data Scientist" position with more emphasis on machine learning and lesser on back-end development, yet I'd prefer to create complete applications (services) participating on both sides, other than just doing analysis in notebooks. Relation of the project to NLP is a must.

Remote work only.
Position: Data Scientist, NPL engineer
Category: Data Science
Experience: 2.5 years | English: fluent

- Successfully developed from end-to-end NER pipeline with help of Prodigy tool for annotations with human level performance, resulting in enhanced company data and user experience and increased customer satisfaction significantly.
- Implemented geocoding pipeline from scratch using Google’s places and addresses api, created voting system as part of pipeline for selection best of multiple geocoding api outputs.
- Combined the two above projects to create ML driven system that takes news (media articles) as input and outputs location (lat-lon pair), time and actors of crime event.
- Spent significant amount of time developing tools for automatic data insight and statistics generation to make user experience more pleasant and insightful.
For the past 2.5 years I have worked in US IT startups as Data Scientist (NLP field) with trade and crime data.
- NER model with Prodigy package (data preparation, labeling, modeling, error analysis, iterate)
- Geocoder (Google APIs, Pelias)
- Supervised models (xgboost, bi-lstm, transformers) for free text comparation
- Unsupervised models / custom systems for free text clustering
- A lot of tabular data (SQL)
- Cloud services (AWS, Databricks)
Position: Data Scientist or Machine Learning Engineer
Category: Data Science
Experience: 2 years | English: upper


Data Scientist / Risk Analyst | December 2020 – till now
Project description: ukrainian fintech project of consumer lending on mobile-only platform

Main work activities description:
• Continuous improvement of fraud and credit scoring models, actualisation of them, sample collection, experiments with target, prod models verification, new features research and other experiments to improve model metrics
• Creation of MVP project for speech recognition of customer calls in the support department. Further analysis of them in order to improve the customer experience
• Development of tools for automated deployment and support of the reporting system, creating new and optimisation of existing ones reports based on current business needs, also periodic analysis of kpis
• System and product analytics to identify potential areas of automation and changes in product and system settings


Python Machine Learning Engineer | March – December 2020
Project description: social media marketing platform

Main work activities description:
• Extracting and structuring data from MongoDB, cleaning it
with following preprocessing
• Engaged in clusterization of instagram influencers and
developing recommendation system for matching brands
with bloggers
• Building Falcon APIs for using this models in dockerized
production environment
Position: Data Scientist, Other
Category: Data Science
Experience: 0.5 years | English: intermediate

Interesting international  teamwork in research projects with colleagues from the Institute for Computational Science and Artificial Intelligence, Van Lang University, Vietnam.
I hold a Ph.D. in theoretical physics and have worked as a scientist for over 10 years on various research projects at the university level. 
Over the course of my career, I have acquired extensive expertise in analytics and visualization, demonstrating a proven ability to develop innovative solutions for complex problems.  In my role, I have been responsible for several key tasks:
• Designing, conducting, analyzing, and presenting research on physics to stakeholders.
• Writing, reviewing, and publishing articles in scientific journals indexed in Scopus and Web of Science.
• Creating and delivering presentations at international conferences.
• Providing research reports and recommendations to teams and stakeholders.

Additionally, I have been actively pursuing knowledge in data science through YouTube tutorials and self-study. Currently, I am seeking my first job in the IT field and I am enthusiastic about exploring new opportunities in IT technologies where I can apply my skills and expertise to help businesses achieve their objectives.
Only remote, challenging tasks, opportunity to learn and develop, flexible hours.
Position: Data scientist, partnerships manager, business analyst
Category: Data Science
Experience: 5 years | English: fluent

I´ve managed to do well with a highly demanding strategic position in my career, achieved to sell in person a newly created service product to 25 companies during a first 9 months of operations, planned and executed several B2B event projects, cooperated with government entities, executed market research. 

Executed as an independent dealer of a ukrainian digital service platform for exporters.

Learned to work with project documentation and client requirements in IT, to code basic scripts on Java, fix bugs, which was completely new for me at the time.
Have developed knowledge of most of the Data Science algorithms using python and the main data science libraries(Pandas, Numpy, Matplotlib, Seaborn, SciPy, ScikitLearn), Tensorflow/Keras. Have basic knowledge of SQL, Tableau, Google Analytics 4 and Google Tag Manager.
I'm finishing the yearly Data Science program, part of a Master in DS and Big Data. I have experience working almost for two years as a Business Analyst for Luxoft/DXC in a banking sector. 
Also I have had an experience in marketing and partnerships management for All.Biz e-commerce platform.
Going back to data, I know the most of the existing types of ML algorithms including Deep Learning. Usually I use Python libraries such as NumPy, Pandas, ScikitLearn, Matplotlib, as also Tesorflow/Keras. As a graduate from a sociological faculty of the NTUU KPI, I'm familiar with statistical concepts. 

The roles I also fit greatly are such that require developed communication skills and a business acumen, partnership management, marketing, market research. Domains I have had experience in: banking, import/export, international trade, food & beverage distribution, agribusiness, agri- or food- industry, international and government relations, business events planning, B2B services.
Position: Data Scientist (Part-time)
Category: Data Science
Experience: 4 years | English: fluent

Winner of AI4DIGIGOV data competition, that took place in Azerbaijan. Know 5 languages. Study in one of the Europe's best tech universities.
Most of the time i've worked on the project called
"Reduction of electricity generation costs using historical and current operating and service data of onshore wind turbines" or shortly Restrok at Center for Wind Power Drives in RWTH, Aachen, Germany. Before that i used to write some python scripts for the same center.
In Azerbaijan i've worked for 4 month, mostly developing software on C#. 
I have written my bachelor thesis on the "Estimation of Wind Power Turbine power capacity using aerial and satellite images" topic.
Now i am working at Knuddels as a working student data scientist. Have been engaged in user behaviour analysis and bot detection.
I would like to work on computer vision, BPI, NLP related projects. It would be great if there are already skilled developers in the team, so i can learn from them.
Position: Data Scientist/Product analyst
Category: Data Analyst
Experience: 4 years | English: upper

Optimized expenses for communication by tens of millions per month. 
Built uplift model, which in test, improves conversion by ~ 35%
Optimized the cost of communication with customers by 18% without losses in the necessary indicators
Increase in sales based on more conversional “leads” identification.
Built and implemented classification models that work online
Based on distributions of different parameters built a rule-based model for quick online implementation
Evaluating and monitoring key metrics, understanding root causes of changes in metrics
Behavioural analytics with explainable ML and causal inference.
Experience in conducting A/B tests, experience in client analytics.
Planning on KPI earnings for all bank products of legal entities throughout all channels.
Started to build the model of churn and pre-churn of legal clients.
Clustering clients and formed client portraits.
Position: Data Scientist & Product Owner
Category: Data Science
Experience: 7 years | English: fluent


I have a solid experience of 8+ years in IT and graduated as a master in two directions of Computer Science and Quantitative Methods for Economics and Business. Data Science Expert and Founder of Data Science Academy. Former Sales Manager and Lead IT Consultant for Fortune 500 companies. Especially interested in leveraging my skills and expertise to solve challenging problems and drive innovative solutions in various industries.

A history of success in diverse industry sectors including Finance and Banking, Healthcare and Medicine, Transportation and Logistics, Automotive, Energy, Customer Service and Chatbots, Education and E-learning. Feel free to contact me via message.
Position: Data Scientist | Python
Category: Python
Experience: 1 years | English: intermediate

In my spare time I solve LeetcCode problems  100+ problems solved.

I have 6 years experience in medicine.
For a long-term car rental company, I conducted a study of user behavior on the site regarding the completion of a targeted action. 
I built an ML model and an API that allows to predict the target action and shows the marketing department the success of an advertising company.

I take part in Kaggle competitions:
AMP®-Parkinson's Disease Progression Prediction result: 422/1805
Vesuvius Challenge - Ink Detection in progress
Position: Data scientist/Python Developer
Category: Data Science
Experience: 1 years | English: upper


Designing and building a relational database for the institute and its partners.
At the moment, the base has made it possible to significantly optimize the scientific and medical activities of the institute.
Wide use of Amazon web services.
Writing Python scripts for processing and collecting information.
Position: Data Scientist, Python developer
Category: Data Science
Experience: 0 years | English: intermediate


My experience in development is more study projects such as labs and course works in the following areas:
Databases( MySQL+PHP project),
ML algorhitms ( projects with clasterization, classification, regression, neural networks, Association Rules and work with metrics (Python( NumPy, Scikit-learn, Pandas, Matplotlib))),
Lots of labs in Python ( Optimization methods, Time series analysis, Computational methods),
C/C++ labs (OOP and Alghoritms and Structures) and console game.

I am highly motivated to study and work.
Position: Data Scientist / Python Developer
Category: Data Science
Experience: 5 years | English: upper


Data science / Python development

• Establishing ML/DL services architecture.
• Data handling: preparing and cleaning datasets, synthetic data generation, pseudolabeling, semi supervised learning.
• Training and deployment object detection models.
• Text classification (lgbm, umap, LSTM, transformers).
• Inference runtime optimization (OpenVINO).
• Face recognition, metric learning.
• Unsupervised learning, cluster analysis, feature processing (tabular data).
• Datalake handling (pyspark, Sagemaker, Glue, CloudFormation).
• Backend services development (rest API, SQL queries optimization, building analytics dashboards).
• Python packages development (setuptools, tox, testing pipeline).
• Integration tests pipeline automation (Docker, localstack).
• Product demo presenting and delivery negotiation with clients.
ML services development and integration.
Position: Data Scientist / Python Developer
Category: Data Science
Experience: 2 years | English: upper

I have several achievements with Python and DS, including:
• Email-campaign open-rate prediction system with error about 3%
• NLU (Natural Language Understanding) bot made for easy access to company's knowledge base. 
• Successful development and implementation of computer vision models for a video analytics application in Python.
 • Development of an efficient credit scoring system.
 • NLP tasks: text analysis and generation with Transformers.

I have many certificates in the field of Data Science and development. I participate in Open Source projects and write about my ML experiments on Towards Data Science.
I am a passionate Data Scientist with experience in NLP and Computer Vision.
Position: Data Scientist | Python Developer
Category: Python
Experience: 2 years | English: upper


In my role as a data scientist in the banking industry, I have completed several projects related to cross-selling and client acquisition. These projects involved developing machine learning models to identify potential clients for targeted marketing campaigns, as well as predicting customer behavior to improve the bank's overall customer experience. To accomplish these tasks, I primarily used Python and SQL for data manipulation and analysis, as well as Grafana and Dataiku for visualizing and managing the machine learning pipeline.

Currently, my role on the team is to support various departments within the bank with data-driven decision-making processes. This involves collaborating with business stakeholders to understand their needs, designing and implementing data-driven solutions, and presenting findings to stakeholders in an accessible and understandable way. I work closely with other members of the data science team to ensure that our models are accurate, reliable, and scalable.

Moving forward, I would like to continue improving my skills in data visualization and storytelling, as well as exploring new technologies and approaches for machine learning and data analysis. I believe that by staying up-to-date on the latest trends and tools in the industry, I can provide even more value to the bank and help drive its success.
Micromanagment
Bureaucracy
Position: Data Scientist | Python Developer
Category: Python
Experience: 3 years | English: fluent


MS graduate of Computer Science and Data Analytics at The George Washington University.

Strong Python, Java, Sql, MySql, PostgreSql programming and scripting skills. 

Fluent in Azerbaijani, Russian and English. Intermediate level of German language.

Have an experience working on NLP and Computer Vision problems. Currently working on a Speaker age and gender identification for Azerbaijani language. 

3+ years of experience Python and its frameworks (Flask, Django, FastAPI) and libraries((pandas, numpy, scikit-learn, plotly, etc.)). Familiar with R. 2+ years experience with Tableau visualization tool and Figma. I am a quick learner and can enhance and develop the required skills.
Highly interested in creative projects that involve working with Data and ML but also interested in Python Backend Development. Currently searching for opportunities to apply my knowledge and skills. I would like to work in a team with professionals on interesting projects. I don't like manual work that doesn't allow the flexibility of using various novice tools.
Position: Data Scientist, Python Developer
Category: Python
Experience: 7 years | English: fluent

I have completed all my duties by myself, without any assistance and technical guidance, that is why I am sure in my learning and programming skills.
I am a researcher, Data Scientist and Python Developer. Have a PhD in Economics. The focus of my work is internet researches including gathering distributed data from different sources, web scraping, data mining, building prediction and classification models using ML algorithms, sentiment analysis, images recognition and classification, developing and deployment of web applications based on mined data and developed modes. I use Python for coding and AWS cloud for computing and deployment.
I would like to enlarge my experience, to work on new challenging tasks. Also it would be good to participate in bigger project where I could work together with many people.
Position: Data Scientist, Python dev, Team lead
Category: Python
Experience: 11 years | English: upper

PHD of economics, Master of economics, IFRS specialist, Banking, Scoring, Risk Modelling, Collateral estimation, IFRS Implementation, Financial Analisys, Macroeconomy specialist, Pinchuk Fund PrizeWinner, Systems modelling development and implementation
PHD of economics, Master of economics, IFRS specialist, IFRS Implementation, Financial Analisys, Macroeconomy specialist, Pinchuk Fund PrizeWinner. Credit risk manager. Banking. investment Baning, Basel 2. Basel3, Scoring. IFRS and prudential provisioning and reporting (FINREP), EE, EEPE, PFE, Irr and loans, collateral. BA, developer, R, SQL, MySql, Java Core, Maven, JDBC, GIT, RStiduo, PyCharm, ELK, Team City, Python dev 3+ years, but without Django exp
proffesional and personal grow
Position: Data Scientist / Quantitative Developer / ML Engineer
Category: Data Science
Experience: 2 years | English: upper


- Machine Learning Researcher

I've fully done a project with automatic heart disease detection on an ECG. Starting from data preparation, various Digital Signal Processing techniques for useful information extraction, pipelines for model training, train process monitoring, and validation. This work resulted in a scientific paper. Used PyTorch, PyTorch Lightning, scikit-learn, TensorBoard, numpy, pandas.


- Quantitative Researcher 

Was a part of a small team, that was building a trading model for an exchange. A lot of statistics, post-analytics, building pipelines for hyperparameters optimizations, training many models in parallel and validating them. Also was writing C++ code, where latency was crucial. Keras, TensorFlow, numpy, pandas, C++.
I am looking for ML/DL research position. I would rather work either in the finance sector or in the scientific mixed domain.
Position: Data Scientist, R&D
Category: Data Science
Experience: 2.5 years | English: fluent

- Received a Ph.D. degree in theoretical physics (Supergravity/String Theory/Quantum Field Theory) in Germany;
- Successfully applied my personal and analytic skills to adapt to a new working environment and to accomplish all the given tasks;
Please look at the attached resume
I am looking for remote Data Science/R&D projects/positions. 
I am interested in a wide spectrum of topics and am willing to develop in different directions.
Position: Data Scientist, R developer, ML engineer, Applied Scientist, Researcher
Category: Data Science
Experience: 4 years | English: upper

I have improved ML models using sparse matrices and more efficient approaches, which significantly increased the code performance (RAM usage and model runtime were reduced by 95% and 99%, respectively).

On another project I have found a way to significantly improve code performance by optimizing and rewriting on SQL (Exasol) most of scripts related to data preprocessing, which reduced the model runtime dozens of times.

Have scientific publications in refereed journals, as well as participation in more than 30 international conferences.

Active member of the International Astronomical Union Administration.
PhD in physical and mathematical sciences with six-year deep research experience (physics, astrophysics, space plasma physics). 
3,5 years of research and engineering experience in Data Science/Machine Learning (Work for American worldwide management consulting firm). 
>2 years of experience for the team/tech lead position of the data science/development team.


Projects domain:
• Marketing & Sales (Price and Promo optimization for Retail/CPG projects).
• Demand forecasting.
• Applied Science (physics, astrophysics, space technology).


Active technology stack:
• Commercial projects: R programming, SAS programming, Julia programming, Python (Pandas), Spark, SQL (MS SQL, Exasol, MySQL), AWS stack, GIT (git, GitLab, GitBook, GitLab CI/CD), Jira, Confluence, Tableau, draw.io, Excel (tabular data), PowerPoint; various Machine Learning models/algorithms.


• Science: MATLAB, C++/Qt, LaTeX (MiKTeX); IBM SPSS Statistics, Origin Pro, Statistica (StatSoft), Grapher; Global Survey Method (GSM) - methods for spherical data analysis; Data Analysis, Mathematics, Applied Statistics, Data Visualization, Mathematical Modelling, Probability theory, Math. Analysis, Linear Algebra and Analytic Geometry, Differential Equations, Vector and Tensor Analysis, Methods of Mathematical Physics, Theoretical Physics.
Position: Data scientist remote part-time
Category: Data Science
Experience: 4 years | English: upper

A year part time exp of clustering, prediction, classification using word2vec, nltk, scikit-learn, keras, numpy, pandas
Data analysis 3 years exp with different data sources and systems, mostly relational
4 years in data analytics
1,5 years part-time experience in data science 

−	Data science, Data mining, Data analysis, Segmentation, Cluster analysis, Database structure, Prediction modeling, Statistics, Econometrics, Higher math
−	Machine learning: SVM, regression analysis, decision trees, KNN, k-means, tf-idf matrices etc.
−	Python (practical use): libs: pandas, numpy, scikit-learn, matplotlib, math, word2vec, nltk
−	SQL: Teradata, Oracle, MS 
−	Software: Tableau, SAP BO & BI, Power BI
−      Linux, windows
−	Languages: English, Ukrainian, Russian; 
German, Polish – basic
Part time remote or freelance, 20-25 hours in a week position/project in data science