lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper


Samsung R&D institute of Ukraine study practice:
• Game Bot detection using classic machine learning approaches.

Samsung R&D institute of Ukraine study practice:
• Text-to-face image generation using generative adversarial network.

Bachelor’s Thesis:
• Handwriting recognition using RCNN.

Master’s Thesis:
• Fair price and hedging strategies for European type options.

Pet projects:
• Fish segmentation – a U-NET-based model for binary instance segmentation
• Movie search engine – A python FastAPI service for content-based movie recomendational system based
on SBERT using Milvus vector database.
• Titanic - a classic Kaggle classification problem.
• House pricing - regression model for predicting housing prices
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper


Scientific Projects:
• Protein database augmentations:  Improving ML prediction of point mutation effect prediction by introducing augmentations to protein structure/sequence datasets.
• Cytochrome P450 metabolism prediction:  DNN for structure-based classification of CYP450 substrates.
• ML prediction of dissociation kinetics:  Experimented with applying classical ML methods to predict protein-ligand dissociation kinetics with a manually curated database.

Pet ML projects:
• Neural 3D Reconstruction:  Reproduced and modified FastMVSNet method to improve the deep multi-view stereo for depth fusion on DTU database.  Deep Learning university course team project.
• Adversarial attack and Defence:  Implementation of the adversarial attack and defence on CNN model trained onFashionMNIST dataset
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: intermediate

I'm professional with 12 years of experience in process control systems. Quickly write a stable code – my record is 2 weeks for software development and commissioning of facility. Facility has been working 24/7 for more than 7 years until now.
Scikit-learn, pandas, numpy, Keras
Looking for first job in Data Science (full or part time). Perfectly - remote with strong data science team. Ready to learn a lot and constantly improve myself skills.
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper


Self-driven, motivated, and dedicated Data Scientist with 3 years of experience working as a Data Analyst, passionate about helping businesses succeed. I would like to participate in interesting and perspective projects and apply the machine learning algorithms in practice. Fast learner, sociable and responsible, I strive for development and improvement of professional skills.

Qualifications:
- Experience in data gathering, preprocessing, and data analysis.
- Understanding of classical Machine Learning algorithms and their application in practice.
- Knowledge of Python (NumPy, Pandas, Scikit-learn, SciPy, Matplotlib, Seaborn, Plotly).
- Knowledge of SQL, RDBMS (Microsoft SQL Server, PostgreSQL, MySQL).
- Experience in data visualization, designing reports and dashboards using PowerBI, Tableau, and Microsoft Excel.
- Experience with Jupyter Notebook, Visual Studio Code, PyCharm, Git, and Jira.
- Knowledge of Exploratory Data Analysis (EDA).
- Knowledge of evaluating the quality of the ML algorithms, hyperparameter optimization.
- Understanding of the basic principles of organizing and conducting A/B testing.
- Knowledge of mathematical analysis, linear algebra, statistics and probability theory.
- Strong time management skills, with the ability to prioritize and multitask.
- Strong communication and creative problem solving skills.

While I was working as a Data Analyst, my responsibilities included:
- Maintaining internal systems, collecting and parsing data from internal and external resources using Python and SQL queries (Microsoft SQL Server).
- Developing dashboards and reports using data visualization tools such as PowerBI and MS Excel.
- Reducing the time for preparing reports due to the development and implementation of automated reporting.
- Measuring and demonstrating organizational efficiencies with data analysis and reporting.
- Performing regular and ad-hoc analysis and presenting results to stakeholders.
- Building the reporting infrastructure to provide real-time insights into the business KPIs.
- Effectively prioritizing and executing tasks while under deadlines.
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: upper


Self-motivated Data Scientist with 4+ years of experience (8+ years in IT Data Analytics ). I constantly bring high-quality business solutions to businesses seeking higher efficiency.
Strong analytical mindset and proactive team player
Excellent problem-solver and collaborative with expertise in algorithm design and data collection.

Responsibilities: 
 - Development a set of ML solutions: Classification / Regression / Clustering / Recommendation System / MAB for Real-Time Bidding auction, which allowed to automatically buy traffic from the most prominent advertising platforms  for more than $500k+ monthly with positive margins.
 - Creating complex resolutions to provide RTB (real-time bidding) in a highly loaded platform.
 - Generating ideas for founding triggers and forming specific, accurate proposals for product improvement.
Profound analysis and finding hidden patterns/causes.
 - Controlling all the main KPIs, A/B testing, rolling, and validation of results.
 - A/B testing.

Skills:
  — Python,
  —  Jupyter Lab/Hub
  —  SQL
  —  Hadoop, PySpark
  —  BI Tableau, Power BI
  —  Datadog, AirFlow, MLFlow
  —  ML: supervised and unsupervised learning,
clustering, regression, classification,
recommendation systems,time series
  —  VBA, OLAP, PowerPivot, PowerQuery
  —  Word,Access,PowerPoint,Excel,Microsoft
Office
  —  End-to-end experience with data collection, processing,aggregation, analyzing and visualization
   —  Agile methodologies : Scrum, Kanban, Safe, Waterfall
  —  Jira, Confluence
  —  Advanced mathematical and statistics skills
  —  Excellent interpersonal skills
  —  Problem solving and creative thinking
  —  Team management
I am considering only part-time vacancies for around ~20-25 hours on the english-speaking market: Only Canada/USA
Progressive project with professional growth
Position: Data Scientist
Category: Data Science
Experience: 11 years | English: upper

Hydro-power cascade optimization system using own ANN and evolutionary engine
Bank transaction classification (multi-labeled transactions)
Long-term cell phone base station overload prediction
Anomalies detection tool (KPIs themselves and correlations between KPIs)
Verified certificate for Data Science and Engineering with Spark specialization (edx)
Verified certificate for Neural networks and Deep Learning specialization (coursera)
Senior Data Scientist with 10+ years of experience.
For the last 5 years, I work mostly in Python and pySpark.
On the current position, most of the projects are related to marketing (LTV/DAU prediction, A/B testing and so on)
Previously I worked with fraud-detection in digital marketing, telecom services, fintech, and some other areas.
Interesting projects are the most important thing for me. I like to solve interesting and unusual tasks.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: fluent


Senior Risk Advisor, KPMG Luxembourg, Luxembourg
O C T O B E R 2 0 2 2
Risk Advisor
A P R I L 2 0 2 2 — S E P T E M B E R 2 0 2 2
• Develop and implement risk management solutions for Solvency II reporting
• Analyze and implement quantitative risk management solutions and pricing
methodologies in line with best practice
• Participate in the design and implementation phase of new solutions in
the wide field of quantitative risk solutions, including implementing pricing
methodologies, developing algorithms and handling market and client data
• Handle technical inquiries to ensure service quality and client satisfaction
• Participate in the onboarding of new funds into the risk platform
Risk Modeling and Analytics Specialist, UBS, Krakow
A U G U S T 2 0 2 0 — M A R C H 2 0 2 2
• Develop methodologies (Funding Valuation Adjustment and Structural Foreign
Exchange models) for stress testing of UBS Group and different legal entities
around the globe
• Answer methodological stress testing related questions raised by regulators
across the world
• Analyze diverse portfolio data and risks under a macro-economic stress
testing approach and build stress testing models which are sensitive to
macro-economic risk factors
• Support the development of stress testing scenarios and business engagement
• Interact on a regular basis with Senior Management on inquiries related to
UBS' stress testing framework
Financial Analyst, DemirBank, Azerbaijan
M AY 2 0 1 7 — S E P T E M B E R 2 0 1 7
• Participate in the report building of the bank for internal and external needs
• Work on financial and non-financial numbers and answer inquiries of different
units in the bank as needed
• Extract different types of data from the databases and prepare reports based
on these data
Position: Data Scientist
Category: Data Science
Experience: 7 years | English: fluent


Senior Software Engineer with 5+ years of experience in building trading applications and data pipelines, tackling challenging architectural and scalability problems in Finance. Recently helped SA ASSET with Terabyte scale data pipelines.
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: upper


Sentiment analysis and clusterization of user comments. Creation of a recommendation system which aim is to recommend some visually compatible items for a given one and measuring the quality of the initial system’s predictions. Creation of an application for goods customization specifically shoes with customer text input. Creation of an application for a text to image search using CLIP.

Technologies used:
Python
Pytorch
TensorFlow
Google Colab
Amazon S3, EC2
LSTM
CNNs
CLIP
VQGAN
Dall-E mini
Diffusion models

Responsibilities:
Collection, cleaning, processing and analysis of new and existing data sources
Model architecture selection and model training
Work results presentation


Training project on .Net platform

Technologies used:
C# programming language,
ASP.NET Core,
LINQ to SQL,
MS SQL Server,
HTML,
CSS,
JavaScript.

Responsibilities:
Developing functionality,
Participating in code review.


Master thesis: Action recognition in sports videos

Technologies used:
Python programming language,
Tensorflow,
Numpy,
Recurrent neural networks,
Convolutional neural networks

Responsibilities:
Data processing (Data augmentation, Dealing with class imbalance)
Build and train models for action recognition in sports videos,
Assess quality of models


Graduate work: Time series forecasting with neural network and statistical methods

Technologies used:
Python programming language,
Tensorflow,
Pandas,
Numpy,
Matplotlib,
scikit-learn,

Responsibilities:
Building a model,
Data processing,
Model's quality estimation
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper

Unit Factory student, studying machine learning and data science.
Finished a branch of online courses on Coursera, such as Deeplearning.ai course by Andrew Ng.
Currently rolling in UCU Master program.
Sep 2019 - Sep 2020 Data Analyst, Kyivstar
Improve my skills of ml, math and programming in a team of professionals
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: upper

I have learned VBA, SQL on my own, improved the level of English in short period.
Sep 2020 – Present: Data Analyst
− Data monitoring and analysis;
− Investigation of issues root causes;
− Generating reports and analysis from single or multiple DWH;
− Develop and analyze the effectiveness of methodology and scenarios of RnD, analyze their results;
− Create PowerBI dashboards and other visualizations;
− Ad-hoc analysis;
− Analyse overall business data, draw insights, and prepare reports in a manner that can be understood by all stakeholders.
July 2019 – Sep 2020: Business Analyst 
− Creation marketing email campaigns;
− Provide Marketing department with deep insights regarding all marketing activities;
− Building forecasts and predictive customer behavioral models;
− Data analysis to detect the reasons for deviations in the main and secondary metrics;
− Support in decision-making
− Create visualizations and presenting them to the stakeholders.
May 2018 – July 2019: Dispatch 
− Loads searching and booking;
− Cargo orders monitoring, reports creation;
− Solving issues with loads;
− Communication with brokers and drivers, updates provide;
− Construction logistics chain providing for each specific driver.
October 2016 – May 2018 Reporting Specialist 
− Logistics reports creation and coordination (Service Level, Out Of Stock);
− Automation of reporting projects;
− Ad-hoc requests from other departments;
− Development of tools for new reports to decrease Full-Time Equivalent;
− VBA Macro tools support and modernization
- I want to work in a friendly team,
- Learn something new,
- Always work on interesting and challenging projects,
- Develop new methods and approaches, to solve the task.
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper

I have several publications related to EEG data classification that indexed in Scopus.
Sep 2021 - Present, Software Developer, Freelance
• Scraped data for estimation value of property.
Stack: Python, Selenium, Beautiful Soup, Scrapy, Google SpreadSheets API.
• Developed conversational Telegram bots as interfaces for dating, commerce, and API wrappers.
Stack: Python, Git, Telebot, python-telegram-bot, MongoDB, Flask, Azure, Docker, OpenAI API.
• Built a Windows desktop application for YouTube audio data extracting with PyQT5.
Stack: Python, PyQT5, PyInstaller.
• Developed an Android application for facilitating tree data collection.
Stack: Python, Kivy, Buildozer, Git, LinuxVM, reportlab, GoogleOAuth, pyjnius, adb

Research Assistant:
Stack: Python, Tensorflow, Pandas, Numpy, Matplotlib, Scikit-learn, SciPy, MNE-python, fathon, grapviz, LaTeX
I contributed to several publications related to classification of Grasp-and-Lift hand movements based on EEG data.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: pre

•	Investigation of a new bispectrally-organized modulation. In this area, a Ph.D. thesis is defended.
•	The use of higher-order spectra for processing radar weather data. In the framework of this direction, it took part in an international program DAAD "Leonhard-Euler-Scholarship Program", 2014
•	Participation in the state budget topic "Intelligent system of integrated automatic processing of visual multimedia data"
September 2013 – present

National Aerospace University “Kharkiv Aviation Institute”
Assistant Professor of Dept. of Information-communication technologies named after O.O. Zelensky (Nov 2017 –  present)
    • Conducting lectures, practical and laboratory classes on "Microwave Engineering", "Antenna device", "Satellite Communication Systems," "Certification, standardization and accreditation", "Metrology";
    • Drafting work programs and curricula;
Scientific work in the direction of UWB systems, bispectral analysis and higher-order  moment, signal processing, image processing, time series.
Interesting non-standard tasks requiring a scientific approach
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: fluent

1 year of working as Data Scientist on several projects.
Conducting research in the field of GANs and the applications in CV.
Several ML projects, including:
- NLP projects (information retrieval, sentiment analysis, document comparison) - worked with NLTK, spaCy, gensim, 
- CV projects - with classical (OpenCV) and deep learning approaches (frameworks - Keras, PyTorch),
- anomaly detection.

Bayesian statistics, feature engineering, data visualization, regression analysis, time series analysis. Experienced with neural networks architectures.

Other libraries: pandas, numPy, sklearn, sciPy, seaborn, matplotlib, statsmodels, etc.
Looking for ML engineer/Data Scientist job opportunities, either research or industrial projects. Better if the position is concentrated on one particular field, i.e. Computer Vision engineer, or NLP engineer.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper


Sigh Language App
ChatBot - I used to PyTorch nn module to train and test my model . It is so simple question and answer chatbot.
Image Classifier with pytorch on Cifar-10 dataset - I used to PyTorch nn module to train and test my model on the CIFAR-10 data for building an image classifier. CIFAR stands for Canadian Institute For Advanced Research. And the 10 stands for the 10 classes of images included in the dataset, namely: plane, car, bird, cat, deer, dog, frog, horse, ship, truck
Microsoft Stock- Time Series Analysis with FbProphet -  The stock market is a public and organized environment for trading certain securities and real estate. In this project, I analyzed FbProphet to predict the closing price of the stock in 10 days
As a data scientist, I am looking for opportunities that offer challenging projects where I can leverage my skills and experience to drive meaningful impact. I am seeking a company culture that values collaboration, encourages knowledge-sharing, and fosters a positive work environment. I am excited to work with a team of like-minded individuals who share my passion for data-driven solutions and continuous learning.
Position: Data Scientist
Category: Data Science
Experience: 2.5 years | English: fluent


Skilled Data Scientist with more than 2.5 years of experience in the banking field in Agile working environment. Good knowledge of Python, SQL, Grafana, Dataiku DSS, Git. I also had experience with tensorflow 2.0, C++, Tableau and PowerBI.

Main Tasks: Data Mining, Data Cleaning, Data Analysis, Feature Engineering, Hypothesis Testing, Modeling,
Deploying and etc.

Main Projects:
1. Churn Prediction - Developing a predictive model to forecast customers who are likely to leave the bank
within the next three months. The final models were deployed in production and integrated into the bank's
CRM system to implement proactive actions to prevent the churn.
2. Propensity Models - Developing propensity models for loan and salary products on DataIku platform, which
would allow for effective targeting of potential customers. The final models were deployed in production
and integrated into the bank's CRM system, enabling effective targeting of potential customers who were
most likely to take up loan and salary products.
3. Client Hunt - Using machine learning algorithms, such as collaborative filtering or association rule mining to
acquire potential new customers who shared similar transactional behaviors with the bank's current
customers.
Position: Data Scientist
Category: Data Science
Experience: 11 years | English: fluent

Speaker on DataScience conferences, Lecturer on ML, 
Author of four published scientific articles, writer on towardsdatascience.com, volunteer.
Skilled in multiple IT fields and roles from R&D to Data Scientist with 15+ years of commercial experience in project management from middle to large scale applications and organizations. Have expertise in understanding of project data, business analysis, management, communication, architecture and development lifecycle. Team player as a technical support for the project in requirement gathering, change management, design, deployment support, customer training and software development. Have 25+ years experience as a software developer in multiple frameworks and programming languages from Assembler to high level Data Science scripting.

NER for GDPR
An engine to recognize multiple risk word, names and numbers in documents. There are three models: character based LSTM for names, character based CNN for taxonomy entities and word based for context understanding joined by Bayesian rules.
Role: Data Science team leader with 3 team members.

Machine Learning-Powered Parking Signs Recognition
As per client’s request, the professional Data Science team created a solution capable of determining object geolocation and its properties using Google Street View images. This solution can pass through the entire regions on the map and build the needed profiling even if the only available data is the image location and the direction towards it.
Role: Senior Data Scientist.

IoT Smart House
The project consists of three different engines:
Prediction for humal commands in the house (classification using CNN, RNN, LSTM)
Prediction for complex sequences (LSTM)
Define templates of typical commands based on multiple houses - clusterization problem.
Role: Data Science team leader.

Ecommerce Price Prediction System
Regressor for price prediction based on DNN. Number of input features - more than 2500. The engine contains additional model that predicts accuracy of the prediction and NLP module
Role: Data Science team leader.

Other Projects:
Along with multiple software development projects, there were resolved multiple Big Data and Data Science problems. This is a list of some projects:
Detection of handwritten signatures in old books (2004)
Auto assembling of gas compressors with performance prediction and analysis (2006)
System for gathering computer network data and further anomaly detections (2008)
In-memory SQL-like database component for Adobe Flex (2011)
Framework for building Big Data applications for mobiles (2013)
- no work only for one company restriction
- no work in some specific tech field restriction
- no work for specific country/region restriction
- no public events and networking restrictions
Position: Data Scientist
Category: Data Science
Experience: 11 years | English: upper


Skills and achievements

- 19 years webmaster experience (partnership programs and some privately developed online services)
- 3 years of working as a seo-manager in Uvocorp (essay)
- almost 5 years working as a seo-analytic at Govitall (essay)
- python programming skills (own websites and scripts development)
- highly competitive niches experience (essays, pharma, gambling and other)
- 2yrs crypto experience - 10k+ trades, own bots and services
- All required seo-related skills included in package :)


Additional traits and skills
------

- knowledge of HTML and internal optimization principles

- ability to make simple and effective decisions

- the desire to develop professionally

- experience in promoting multi-language projects (80% EN)

- PPC campaigns creation and management

- writing tasks with technical requirements (know what to do and how to automate it, if it's possible )

- experience with a large number of niches and key phrases, black hat seo incl. (know how to get to the google top fast, but need some budget for that :))
Crypto sphere preferred