lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data resercher (Data analyst)
Category: Data Analyst
Experience: 1 years | English: intermediate

I am ready to develop and learn something new. Life is movement to a forward . I like to learn something new and analyze information, look for patterns.
Research and collect information from different sources across the Internet, social media and process collected data in an accurate manner using technical knowledge.
Responsible for the quality, accuracy, and completeness of the data.
Collect, validate, analyze and transfer data about companies.
Research and analyze jobs from companies. 
Work together with the team to improve and expand the toolset; to collect, process, and understand data for computer entry.
3d max, v-Ray, Maya, Photoshop, Illustrator,  Corel draw, html, css, Data analysis, data research.
She is not ready to take part in immoral projects.
Position: Data science
Category: Data Science
Experience: 6 years | English: intermediate

Ph.D. in Applied Mathematics
Data science
Interesting and motivating projects and tasks.
Position: Data science
Category: Data Science
Experience: 1 years | English: fluent

Education:
I am studying at Taras Shevchenko Kyiv National University in the field of finance. Got a full scholarship. Average grade is 5 out of 5.
I earned a bachelor's degree in finance at IFNTUOG University. Full scholarship. Average grade had been 5 out of 5 in the last 2 years of studying. 

Certification:
«Python for Everybody (PY4E)» from University of Michigan and «Fundamentals of Python Programming» from Higher School of Economics. Skills I got:
Computer Programming · Basic Programming Language · Python (Programming Language) · SQLite · Python Syntax And Semantics · Web Scraping · Database (DBMS) · Tuple · Data Structures · SQL · Json Xml
I manage a portfolio of $ 7,500. Mostly I make investment decisions using modern portfolio theory (MPT), PMPT. Basis is CAPM and more sophisticated the Fama French model. Therefore, I am familiar with covariance regression analysis in the context of portfolio theory and with finding out the trade-off between risk and return. 

To a greater or lesser extent familiar with all methods of financial analysis.

I use a CFA curriculum as a standard in my work.
Position: Data science
Category: Data Science
Experience: 0.5 years | English: intermediate

Open new opportunities and projects relate Machine learning.
 

Data collection, image processing, analysis and digitization. Responsibilities included ensuring good data quality across the spatial database of Azerbaijan. Waste water, storm water and drinking water assets using ArcGIS and SQL. Creating and maintaining geospatial databases. Produce maps for Agriculture, urban cadastre, land use, environmental and geology field (ore golden).
Build and debug Machine Learning algorithms, deep learning/computer vision algorithms applied to remote sensing and environment.
Develop-organize the existing GIS system with SQL Server (DBA). Perform quality checks, supervision of spatial data production. 
Research and collect data to assist with product development and analysis by using PowerBI, Python.
Develop and implement GIS analyses supporting survey projects. Planning, organizing and multi-tasking.
Junior Machine learning for drone datasets to build a new segmentation model for crop measurement.
GIS and Remote Sensing specialist 10 year experience.
Image processing, analyses and modeling of satellite image.
Position: Data Science
Category: Data Science
Experience: 11 years | English: intermediate

Position - Senior Software Engineer, Data science specialist
Job responsibilities:
	Design of data warehouse structure, ETL-procedures. OWB, ODI and are used.
	Develop models for predicting, using Microsoft Azure and R language.
	Design reports using Oracle BIEE 11g.
	Algorithms implementation on SQL, PL/SQL (Oracle 10g and 11g).
	Preparation of new releases and maintenance.
Database: OLTP, OLAP, data warehouse design.
	Data Science: Machine learning and Data mining algorithms.
	Programming languages: PL/SQL, SQL, Java, Python, R, Octave.
	Visualization: Oracle BI EE, Tableau, QlikView.
	noSQL: neo4j, Mongo DB. 
	Conceptions: Object-Oriented Design, Database Concepts, Data Warehouse, Business Intelligence
	Software: Oracle Data Integrator (ODI), IDEA, PL/SQL Developer, Toad, SQL Server 2005 (SSIS, SSAS, SSRS), Microsoft Azure Machine Learning.
	Methodologies: Oracle Data Warehouse Method (DWM), Scrum.
The opportunity to participate in Big Data, Machine Learning or Data Science projects.
	Removals and Relocation job opportunities
Position: Data Science, Computer Science
Category: Python
Experience: 0 years | English: fluent


I'm a 7th semester AI/ML studend in Sharda University Uzbekistan. I've been learning python for almost two years. I'm interested in computer vison and NLP.
I do speak both English and Russian
Position: Data Science / Data Analist
Category: Data Science
Experience: 2 years | English: intermediate


Head of Risk / Data Science, MyCredit, Oct. 2019 - May 2020
Improve Scoring and Fraud detection system for financial projects (online credit system, 1M regular users and 6K per day)
Full cycle of predictive model development: data preprocessing, feature selection, tuning and testing of linear and non-linear algorithms, deployment.
Tech support Scoring API in Production
Taking part in business development and financial strategy (stakeholder) Writing Technical task for IT department
Communicating with partners for providing new data
Team lead of small DS command

Data Science / Data Analist, MyCredit, Jun. 2019 - Oct. 2019
Research and develop ML models for Marketing and Collection department Development and implementation a model for predict fake customers emails Improve reporting system

Data Analist, MyCredit, Feb. 2019 - Jun. 2019 Providing analytics and reports Ad-hoc reporting
A/B/n testing
Mine and analyze data from company database to drive optimization business strategies

Post Production Editor, Lightfield Productions, 2017-2019
Setting up the department's data collection for further analysis
Analysis of models sales, for optimize their use
Monitor the sale of photos depending on the team

Kaggle experience (bronze medal with my own solution)
Position: Data Science, Data Annotator, Web Development, Game Development
Category: Ruby
Experience: 0 years | English: upper

All programming skills are elementary
Project manager - 2 years, Myrnichiy LLC.
Responsibilities include:
1. Communication with the client
2. Development of technical documentation
3. Distribution of work, optimization
4. Digitization of material (MicroStation)

Now I'm learning Ruby (Prometheus, course from SoftServe)
Position: Data Science developer
Category: Python
Experience: 2 years | English: upper

Took a part in number of projects and startups as server and as client developer. Have experience in working in a team as well as with a single projects. 
At the first time engaged in outsourcing and freelancing as full-stack/mobile developer.
Worked in such spheres as data analysis, statistics, machine learning, computer vision and math-related areas. 
Ready to get acquainted with new technologies.
AI engineering, machine learning and web application development.

- 3+ years of experience in Python and C/C++ with strong theoretical knowledge of language capabilities. Practical background in PHP, Java, JavaScript, Solidity. Good understanding of Object-oriented and Functional programming paradigms. 

- Confident in following mathematical domains: probability and statistics, calculus, analytical geometry, linear and matrix algebra.

- Good knowledge of various parametric and non-parametric statistical methods (linear and logistic regression, SVM, Mean Shift, Cumulative density function approach, Decision trees, Neural Networks). Have experience of work with various Python libraries (numpy, scipy, pandas, scikit learn) and R package.

- Excellent understanding of the principles of the operation of Neural Networks (including Convolutional and Recurrent) with experience of their practical implementation (using Tensor Flow and Keras framework). Well versed in many NN optimization methods: L1 and L2 regularization, dropout, artificial expansion of the training data, activation function types (sigmoid, softmax, tanh), various cost-function (quadratic, cross-entropy, exponential) and weight initialization approaches.

- Big experience in application development using various web frameworks: Yii2 (PHP), ZK (Java), Django, Flask (Python). Well familiar with relational and non-relational databases (MySQL, SQLite, PostgreSQL, MongoDB). Confident in the basic front-end technologies (CSS, HTML, JavaScript).

- Strong theoretical knowledge of fundamental principles of blockchain philosophy, big practical background in Ethereum smart-contract development (Solidity).

- Worked with IOS (Swift) and Android platforms for end-client application development.

- Version Control Systems: Git (GitLab, GitHub, Bitbucket)
Looking for interesting and difficult projects with chance to grow, improve my skills and gain experience. Willing to learn and to work with new technologies. Vacancies in math-related domains are preferred. Not interesting in front-end development (only as one-time tasks if necessary).
Position: Data science engineer
Category: Data Science
Experience: 2 years | English: basic


1. The next-gen AI-powered open knowledge discovery platform:
-	Development and training of a neural network model for semantic similarity of news content
-	Development and training of a neural network model for abstractive text summarization
2. Recognition of blood vessels in medical images:
-	Construct training dataset
-	Development and training of a neural network model for recognition of blood vessels 
3. Object recognition and detection in digital aerial photos:
-	Construct training dataset 
-	Development and training of a neural network model for object recognition and detection in digital aerial photos
4. Сryptocurrency trading software:
-	Reverse Engineering
-	Processing of historical data about cryptocurrency
Position: Data Science Engineer
Category: Data Science
Experience: 5 years | English: upper

With the help of ML solutions increased user happiness by more than 10%. Developed maintainable infrastructure for running ML experiments and analyzing AB testing results. Designed solutions for advanced analytics and modeling that guide growth of the products.
Worked as Data Scientist and Data Engineer on various problems regarding learning from data. Have hands-on experience in developing infrastructure and ecosystem for Data Science experiments. Participated in building ETL pipelines, applying ML in production environment, training and validating ML models on large data sets, AB testing, implementation of dashboards for visualization of results. Worked on the full cycle of software development including CI, CD and Monitoring. Always looking towards production solution and thinking about improvements and code quality. Mostly interested about Machine Learning part of the job. Have strong desire to implement ML solutions that increase user happiness.
Expect the company mission to be inspiring and the product unique value to be helpful to the people. Expect working on and scaling production environment of the product with the help of data. Expect interesting and complex tasks that will drive and keep you focused. The more interesting data there is, the better it is.
Position: Data Science Engineer at Interlogic
Category: Data Science
Experience: 1.5 years | English: upper

Completed Epam data science program
Completed "Deep Learning" by Andrew NG
Completed "Databases and SQL for Data Science from IBM" 
Completed "Design patterns from University of Alberta" 
Completed statistics course
Got related certifications
10.2021 - 02.2023 Worked as a data scientist at Interlogic/Lobyco(COOP).

Experience with data science workflows: 
- Data acquisition and understanding
- Exploratory data analysis
- Data preparation
- Relative statistics hypothesis test conduction
- Training, tunning ML models
- Results and quality consideration
- Storytelling obtained results to business

Experience with NLP - language models(Word2Vec, RNN, Transformers, etc.)
Experience with recommender systems(collaborative filtering, content-based filtering, etc.) with NLP enhancement
AI-relevant experience: classification cracks on rails (computer vision filtering, CNN and random forest application altogether), robot lidar localization(robotics), coin segmentation on video file (cv filtering).
Got experience as a software engineer, creating web-based application.

TECHNOLOGIES:
Python (Core + DS libs), C++ - basic level,
SQL Server/SQL, MySQL, Pyspark,  Delta Lake, MlFlow, Pytorch, transformers, Word2Vec, Numpy, Matplotlib, Scikit-learn, NLTK, Spacy, Pandas, Plotly.

TOOLS:
Azure Databricks, Jupyter Notebook, VSCode, Pycharm, Git, Azure Devops, Azure Board, dbx.

OS: Windows, Linux.
Position: Data Science Engineering Manager
Category: Data Science
Experience: 11 years | English: fluent

Achievements at the current place:
- Resource lead for a team of 22 people: Salary and development plans, project staffing and support during the delivery, and interviewing of new candidates
- Oversee more than 5 projects in total with different sizes and expectations 
- Practice Lead for Data Science in Retail and Media business domains and Demand Prediction and Personalization technical domains: pre-sale and discoveries support of projects, design the vision and implementing it, and designing demos and products for lead conversion increase.
- Lead the delivery of the project "Tuned application for customer-centricity in retail" (Dubai-based retail conglomerate,  data science team up to 10 people):
The team was part of a big project for the client to deliver a web application using modern technologies to provide the following functionality (not the whole list): KPI dashboarding, demand prediction, assortment recommendations, impact measurement calculations, etc.
- Finalized the project delivery: "Train agent to control oil/gas separator" (Global energy company, team up to 4 people):
The team delivered a solution that was prepared by the core development team: trained the final agents, checked issues related to missed bugs that influenced results, and prepared the final delivery report.
- Delivered project "Collecting statistics using video-cameras" (Global electronic company, team up to 4 people): 
The team prepared a solution for a client to collect information from the videos: number of cars entering/exiting the parking slot, how long cars stayed on the driving-through line, number of people entering/exiting a restaurant, and tracking tennis ball during a game
Programming Languages: SQL, R, Python.
Domain skills: Data product design and adoption, AI/ML team leading, DataOps and MLOps, assortment optimization, demand forecast, balance sheet and liquidity management, financial institution analysis, A/B testing.
I am a professional Data Science Engineering Manager with more than 10 years of experience in analytics product delivery of different technical stacks and complexity and people management of different sizes. I have experience on all project levels: pre-sale, discovery, implementation, and acceptance phases. I am sure that the professional team has to lead clients to the ideal solution and the project could be delivered only through continuous communication with the final users.
Position: Data Science Lead
Category: Data Science
Experience: 8 years | English: fluent

Developed & Implemented two production ad predictive high load OpenRTB systems. At one of them took part as ML Lead + PM. Took part in video recommendation engine development. Implemented tool for Big Data processing via EMR under BI needs. Implemented different approaches for efficient big data processing and storing under various business needs.
7 years at Data Science. 2 years as Business Consulting Analyst and 1 year as Scoring Model expert in Finance. 4 years as Machine Learning Developer + System Analyst + BI in IT. 4 years as BigData + Python Developer. 1 year as PM of the high load OpenRTB system. 2 years as Head of Data Science

As Machine Learning Developer worked with high load online education systems via Vowpal Wabbit. NLP (LSA, Embeddings). Worked with FM, Boosting algorithms (xgboost). Active user of numpy, pandas, pyspark, sklearn, scipy, nltk, pymorphy2, pyvw, gensim, keras, tensorflow.

As Developer worked with PostgreSql, Hive, MongoDB, Redis, Aerospike, ClickHouse. Data transferring via PubSub, Kafka, Flume. Big Data Processing via Spark.

Wide technology stack at AWS and GCP.
Position: Data Science Lead
Category: Data Science
Experience: 10 years | English: upper

PhD in Computer Science (Artificial Intelligence Aids).
I have about 10 years experience in artificial intelligence aids. I implemented an intellectual decision support system in my PhD thesis. My hands-on experience and core expertise include predictive models development, implementation of supervised/unsupervised learning algorithms, customer insights analysis, data analytics.
Looking for Data Science Lead position 

Insurance. 
Risk prediction for motor insurance companies 
Key responsibilities (KR): EDA, supervised/semi-supervised outlier detection (boosting and multilayer neural networks algorithms), multivariate data visualization (t-SNE, umap), explainable AI models development.   
Technologies: Python, Tensorflow 

Healthcare. 
Outlier detection in clinical trials
KR: clinical data preprocessing, EDA, data clustering (k-means clustering, Isolation Forest, DBSCAN etc.), dimension reduction, outlier detection with unsupervised learning algorithms and neural networks (Variational Autoencoder). 
Technologies: TensorFlow, Keras, Python (pandas, numpy, sklearn), R (dplyr, ggplot2)

Sales.
Machine learning for Customer Insights
KR: sales data preprocessing, EDA, feature generation, prediction model development, model validation, feature importnabce and correlation analysis, demo presentation. 
Technologies: Python, pandas, XGBoost

University.
Teaching, academic and research activities.
KR: developing courses "Intellectual data analysis", "Decision making theory", "System modelling", "Software development technologies", "System analysis", "Information processing systems", "Support decision making systems"; mentoring students ( conferences, contests, hackathons, theses); scientific research activity (publication in journals, attending conferences); organizing of international scientific conferences and IT-hackathons
Technologies: Python (pandas, numpy, scikit-learn), R, MS Azure, UML, Matlab, FuzzyLogic Toolbox

Business
Personnel assessment. Decision making system for the HR department  in order to reduce staff turnover.
KR: system analysis, initial data processing, feature generation, intellectual models development, rule base development, model evaluation and validation.
Technologies: R(dplyr, ggplot2, fuzzyR), machine learning (svm, random forest)

Commercial bank
Intellectual decision support system development
KR: data collection from different sources, EDA, predictive analysis, quality measurement model development, financial results prediction model development, fuzzy logic model development, validation, banking processes formalization.
Technologies: Matlab, FuzzyLogic Toolbox, BPMN, UML
Position: Data Science Lead
Category: Data Science
Experience: 5 years | English: fluent

- Bachelors in Applied Math in Ukraine, Masters in Pure Math in Italy
- Popular blog on Medium, 40k+ views monthly
- Teaching deep learning for Masters, PhD students and postdocs in University of Verona
- Public speeches on conferences in Ukraine and Italy
- Experience both in development and management
Main competences: machine learning in Python / Java, computer vision, NLP, signal processing, scientific computing, AI research to production pipelines, software project management, teaching and coaching.

NumPy, SciPy, statsmodels, JavaScript, Instagram API, Twitter API, PowerDesigner, Oracle, MySQL, SQLite, scikit-learn and contributions, Caffe, Theano, Keras, Tensorflow, Chainer, PyTorch, NLTK, OpenCV, Gensim, AWS, Docker, deeplearning4j, Annoy, H2O, PyMC3, Pyro
I am applying machine learning (in particular state of the art deep learning) in different areas, with special emphasis on signal processing as technical domain and fast startup proof of concept prototyping as business domain. I am ready to help you with design and architecture of your machine learning solutions, teach and lead development or research teams.
Position: Data Science Lead | Data Science/R&D Engineering Manager
Category: Lead
Experience: 5 years | English: fluent

Led more than five projects and research tracks, with the 100% success rate this year only.
Presented at multiple conferences/events and conducted a set of workshops with clients worldwide 
Running a set of educational events on machine learning
Advised and mentored teams that won international DS competitions
I'm passionate about making businesses and society benefit by enabling data-driven decisions and transforming the data into information. 
While fulfilling my passion, I gained experience by leading multiple consulting, r&d, and development projects for clients across numerous industries.
I have expertise in leading and implementing deep learning, computer vision, reinforcement learning, and conventional ml projects across all the stages, starting from the research phase and finishing with the deployment.
Looking to join either a consultancy company or a growing data-driven product
If joining a startup would be highly interested in equity
Position: Data Science Lead / PM
Category: Data Science
Experience: 6 years | English: intermediate

Medalist of Mathematical and Physical Olympiads and other math competitions.
6 years DS + python
1.5 years PM + tech lead 

- Finance time series forecasting
- recommendation systems
- object detection
- real time sport results prediction
Less spoken English.
Position: Data Science Lead/ Senior Data Scientist
Category: Data Science
Experience: 3 years | English: fluent

• Publication and presentation of my research paper on IEEE conference.
• "Deep Learning, a 5-course specialization by deeplearning.ai" on Coursera
• Prizes and participation in various programming contests, hackathons.
• Developed the problem statement and organized the optimization Huawei Hackathon in Sweden
Current location: Warsaw, Poland

3 years of professional experience, mostly in the fields of Data Science, Computer Vision, and AR/VR. I worked in a wide range of companies, from international tech giants like Meta, Snapchat, and Huawei to smaller outsourcing companies and a startup. My AR experiences were used by millions of users worldwide, I helped to build the Metaverse. You might even use my software if you ever used 5G technologies.

Education:
- Computer Science BSc in Ukrainian Catholic University

Highlights and skills:
- Strong math and academic background
- Languages: Python, SQL, Rust, C++,
- Data Science: Computer Vision, Classical Machine Learning, Deep Neural Networks, CNN, Time-series Forecasting
- DS Python tools: PyTorch, PyTorch lightning, Numpy, Pandas, Scikit-learn, OpenCV, MatPlotLib, wandb
- Software engineering: OOP, Linux, Git, Algorithms & Data Structures, AWS, Distributed Systems, Signal processing,
Parallel/Concurrent programming, PostgreSQL, Docker, Flask
- Soft skills: English C1+ (certified by CAE). Leadership: led a team of 8 developers to develop an operating system from
scratch. Great work management qualities, experience in Agile software development.
I'm looking for
- remote job with flexible working hours 
- challenging project in the team of professionals
- I expect the company / team to have solid work culture (collaboration, feedback culture, healthy environment)
- growth opportunities