lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: upper


2018 – PRESENT
AI RESEARCHER
•	Was a part of a team that built a unique AI-based technology for whole-genome analysis.
•	Enabled fast and reproducible experimentation by designing and implementing an internal framework for building neural network attribution pipelines. The framework was used to perform and document more than 100 experiments.
•	Reduced sequence analysis time from 1 week to 1 day by selecting, modifying, and implementing string lookup algorithms.
•	Improved understanding of neural network results for biologists by applying modified explainable versions of classic machine learning models.
•	Conducted AI-driven research on the genetics of virus-host interaction.
•	Delivered a conference presentation on the modern state of AI for genome research.

2017 – 2018
TEACHER ASSISTANT
•	Was a teacher assistant for two courses: Artificial Intelligence for 3rd-year students and Machine Learning for graduate students.
•	Created evaluation criteria and a distribution-based process for fair grading.
•	Enabled student success by achieving 20 minutes average response time for online student questions and requests.

2016 – 2018
JUNIOR DATA SCIENTIST
•	Participated in productization of an in-house analytics system for data-driven software delivery management with 50 internal corporate users.
•	Maintained a Deep Learning based apparel recognition system.
•	Delivered two conference presentations on Deep Learning.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper

Created and build helpful models for the bank such as :
- Churn prediction
- Fine tunning of classification models with PyTorch
- Segmentaion / Detection tasks
- Fico model
- Speech to text
- Computer vision tasks
- Client overdue prediction
- Soft Collection model
- Recommendation system of bank products
- Cross-sell/ Upsell models
- Photo Moderation models
- Detection and Segmentation models
2019-2021 ForteBank  , lead bank in Kazakhstan. Following problems been solved :
- Fixing datalake storage 
- Implementing Churn, Loan prediction, Uplift modeling, Cross Sell modeling
- Developing Scoring models
- Optimizing ATM systems and controlling cash
- Recommendation system of Bank Marketplace
- Improving Client conversion in bank products

2021- present  Working for a consulting company as Data Scientist and Ml Engineer. Have experience in working with different Computer vision  and classical Machine Learning tasks:
- Segmentation and Detection problems with Pytorch
- Tuning image classification problems and Sequentially implement them in service
- Working with NLP and NER problems 
- Working with : Aws Sagemaker , Azure ML 
- Working with remote GPU machines and servers
I would like to for an interesting projects and ready to show all my best. Additionally I have  experience in working R&D projects , that's why Research is also interesting for me.
Position: Data Scientist
Category: Data Science
Experience: 11 years | English: upper

Doctor of Technical Sciences in Diagnosis of Materials And Structures. The topic of the doctoral dissertation: "The development of optical imaging analysis methods of homogeneity on the surface material for monitoring the technical condition of the objects"

PhD in Information Technology. Dissertation topic: "Structurally invariant algorithms for formal image description"
2019-Present
Head of the Image Decryption Laboratory of Karpenko Physico-Mechanical Institute of The NAS of Ukraine, Lviv.
Development of the remote sensing image analysis methodology to monitor the state of natural and physical objects using convolutional neural networks and marked random point fields

2006-2018
Senior Research Scientist of the Department of Remote Sensing Information Karpenko Physico-Mechanical Institute of the NAS of Ukraine.
Performed research of study topics to increase knowledge and to provide state-of-the-art contributions.
Created annual research plans, and cultivated research vision.
Wrote over 60 research papers, reports and summaries on the problem of improving the efficiency of the optical control methods.
Developed numerous computer vision methods for the detection and quantitative description of observed objects.
Developed statistical models of physical processes in the operation of materials.
Supervised junior technicians and scientists.

2020-Present 
Professor of the Department of Artificial Intelligence Lviv Polytechnic National University.
Developed lectures and course content to achieve student-centred learning for the subjects "Information Theory", "Machine Learning", "Image Processing with Artificial Intelligence", "Artificial Intelligence in Gaming Applications".
Created syllabus and instructional plans for each class session in accord with stated course objectives.
Participation in projects, a significant part of which is research or application of advanced scientific developments
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: intermediate


2020 - Present   Data analyst/Data scientist
•	Sales forecasting of CPG products
•	Data analysis, reports preparation and insights generation based on the historical data
•	Data manipulation, data preparation according to requests using python
2017 – 2019	 Sr. Business Analyst
•	Support and coordination of work of BAs group as a regional team lead. 
•	Automatization of the internal processes. 
•	Business analysis and demand forecasting. 
•	Client communication and support, analysis of clients’ requests.
•	Development specifications for new features of the product. 
2013 – 2016	 Business Analyst
•	Business analysis and demand forecasting, data mining and analysis, trends research and analysis. 
•	Software testing. 
•	Development of videos for clients training.
•	Preparation and analysis of the reports with work results.
2012 – 2013	 
Specialist of Business Intelligence and Report Development   Department, bank
•	Development internal reports according to requests using DB ORACLE 10g, tools of PL SQL Developer, Oracle Discover.  
•	Writing explanatory documentation about developed reports.
•	Testing and performance analysis of developed reports.
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: upper

Built models for user-item recommendations increased sales by 6%, crossell increased sales by 5%, analog/upsell increased sales by 3%.
2021-2022 
•Parsed data from state resources and compared with questionnaire data.
• Evaluated quality of front office with Python generated reports. •Created procedures in PL SQL and updated scripts for reports.
•Searched for fraud customers and built a model to automate search for fraud requests
•Implementation and analysis of AB test results. 
•Collaboration with other departments to implement new marketing campaigns. 
•Classifying users by behavior on the market.

2020
•ETL for fraud calls in "KazakhTelecom" network. Searching for patterns
•Wrapped project into Docker and using RabbitMQ sent it to MongoDB
Position: Data Scientist
Category: Data Science
Experience: 2.5 years | English: upper


~2.5 years as a Data Scientist/Analyst (till now)
~3.5 years as PPC Specialist and Traffic Arbitrage Specialist
Master’s degree in Computer Science
Completed more than 10 Python and Data Science courses from Coursera, Kaggle, Hillel, ITEA, Udemy, DataCamp

Responsibilities: 
- Building automated ETL-pipelines for reporting using Python, third-party API's and SQL
- Creating functional dashboards using Google Data Studio and Amazon QuickSight
- Conducting paid traffic performance analysis and users behavior analysis using Python
- Time Series analysis, modeling, forecasting and anomaly detection using Holt-Winters triple exponential smoothing model and Brutlag's algorithm
- Deploying models with Apache AirFlow and Amazon S3/Glue
- Features influence research using Random Forest model

Also conducting cryptocurrency prices data analysis as pet project
Position: Data Scientist
Category: Data Science
Experience: 2.5 years | English: upper

I am a master student at Ukrainian Catholic University. I am enrolled into Data Science programme and I am currently pursuing my master thesis. At the uni we had many ML/DS related courses, many of which were ended by the project, which was done either in teams or alone. Constant participation in group projects has developed strong team-playing, problem solving and communication skills. 
On previous place of work I had a project where the task was to track a laser pointer with a camera, which was successfully solved. 
Furthermore, in one of the courses at UCU students split in teams and participated in a Queen's Innovation Challenge.
Particularly our solution to the problem organizers had posed was to detect and prevent potholes on the roads. For detection we used computer vision and I was in charge of creating a model that would be able to classify photos into 2 classes: with a pothole and without one.
2,5 years as C++ developer. I was engaged into computer vision projects and project that required to optimize the server load (I was researching algorithmically efficient ways to do that).
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: fluent

IELTS 7.5;
Scraped lots of fraud-related datasets: adult-related, carding-related, personal data-related.
2.5+ years: Fraud Manager
E-commerce fraud management (classification modeling & outlier detection), risk assessment (modeling payment fraud, detecting merchant fraud, AML/FT modeling), researching and implementing monitoring routine, improving chargebacks prevention routine, fraud patterns research, detecting phishing attacks routine, fraud policy development, information security policy development).

2.5+ years: Credit Risk Manager
PDL risk management & credit scoring (regression tasks, classification tasks, credit scorecard development, business metrics evaluation, clients segmentation, collection scoring).

2+ years: Data Analyst
Performed an extensive data analysis for e-commerce merchants and instagram shops.
Created dashboards, visualized KPIs, and provided statistical data for regular reports. Successfully experimented with churn prediction modeling and seasonal stock balance forecasting. Scraped data from competitors shops, scraped instagram subscribers-likes-comments data, scraped personal data and phones from ad campaigns/emails/messaging archives.

2+ years: Embedded software engineer
Created firmware for orientation/navigation solutions.
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: fluent


2.5 years in outsource as a data scientist. (Recommender systems and NLP related projects) 
1 year in product core data science team (Learning to rank, search, NLP)
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: upper


- 2 years as Data Scientist
Hands-on Python experience in applying Data Science and Machine Learning in next projects and domains:
(using scipy, scikit-learn, statsmodels, xgboost, lightgbm, keras, tensorflow, sqlalchemy, psycopg2):
- demand forecasting:
- seasonality, trend estimation;
- text classification;
- recommender system;
Team work, exciting tasks, working on a product that people actually use.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: upper


2 years experience, Development / Data Science.

7 months - project was related to vending machines, software and hardware parts. We used C-family languages + tools for data analysis. Title - C++ developer/Researcher - I developed our software part (features that are related to ML analysis) and researched approaches to optimize (speed up / memory issues) our solutions.

16 months - project is related to map search, our team handle NLP issues there. We're using ML+DL tools + GPU servers. Title - Machine Learning Engineer + Researcher - I develop ML related code (align with production) and do SOTA research/approaches. 

Domains priority: bio-tech, military-tech. Product domains are ok as well
Position: Data Scientist
Category: Python
Experience: 3 years | English: upper

1) 2nd place in International Data Analysis Olympiad 2019 (https://idao.world/)
2) Article in scopus «The system for determining the portrait of a user of telecom services»
http://apeie.conf.nstu.ru/apeie2018/files/%D0%9F%D1%80%D0%BE%D0%B3%D1%80%D0%B0%D0%BC%D0%BC%D0%B0_%D0%90%D0%9F%D0%AD%D0%9F2018.pdf
2) 3rd place certificate from the International seminar “The development of information technology in electric power” 2018 in Novosibirsk State Technical University.
2 years experience in Data engineering at Vimpelcom (Hadoop, Hive, HDFS, MApReduce, Kafka)

Development of recommendation system for generation of fashionable outfits with Tensorflow

MHC-Peptide binding affinity prediction with atomic Graph Convolutional  Neural Networks.
No chat-bots and NLP.
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: fluent

* Developed LTV methodology for Kyivstar retail branch
* Delivered PySpark based unsupervised card fraud detection model to production for a Ukrainian bank
* My day to day supervision of financial models in Kyivstar resulted in multiple product changes, go/no go decisions, saving millions of $ 
* Top places in ML competitions:
- solo 2% of 10k teams, demand prediction for a retail company
- solo 7% of  3k teams, API based English test answer prediction
2 years in ML, 5 years in data analysis

Experienced in:
* Shallow machine learning, feature engineering
* Working with large datasets
* Churn, ARPU, LTV, uplift modeling, anomaly detection, time series
* Profitability, pre/post-launch analysis
* Data visualization, creating CXO level presentations
* Understanding of business needs, finance theory
* Machine learning on structured data
* Building robust interpretable models, working with complex causal effects, data-driven pricing strategies, customer analysis
Position: Data Scientist
Category: Python
Experience: 2.5 years | English: upper


2 years of commercial experience in Data Science, advanced pattern recognition, predictive analytics, and the development of Machine Learning models. Successfully managing the complete lifecycle of ML solutions, from data preprocessing to model deployment. Achieved a 7% increase in model accuracy in the LMS system development project by implementing advanced optimization techniques and fine-tuning hyperparameters.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: fluent


2 years of experience:
- Full cycle model development from prototyping to production
- Geodata processing service which uses HDBSCAN, own OSM database and works near real time for 300 000 locations every ten minutes
- Anomaly detection model using IsolationForest scikit-learn
- Geodata clustering and predicting model using DBSCAN and Markov chain
- Experimenting with Gaussian mixture model, Kernel density estimation, Agglomerative clustering
- Working with time series data, exctracting features, validating them using statistics and plots
- Implementing data processing, profiling with Cprofile, Snakeviz and optimising code for production
- Designing data model and services architecture with backend team which uses MongoDB, Aurora, AWS ECS, SQS
- Adding monitoring for model using Google DataStudio and BigQuery
- Dockerizing ml services and databases for testing
- Working with complex datasets and math to bring results
- Working together with Product, Backend, iOS, Android, QA teams
My working expectations are: positive environment, strive for innovations and implementing solutions using new technologies.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: upper

Included in top 25 in country in State Exam for entering universities.
Completed several Data Science Projects successfully.
3 months internship in State Agency for Public Services and Social Innovations
1 year 3 month in the consulting company - Simple Co. in which I have developed Credit Risk Models for local banks. Gained deep experience in ECL calculation (PD, LGD, EAD) under IFRS9 framework.
Currently (more than a year) working in Pasha Bank (top bank in Azerbaijan) as a Data Scientist in agile environment and participated in credit scoring, limit amount prediction, and credit line utilization projects. First two projects are done together with risk team, last one is done together with marketing team

Got enough experience in Python, SQL (Oracle, MySQL, PostgreSQL), DataIku and Tableau.
I expect competitive salary, good work conditions
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: fluent


3 year of experience building machine learning Predictive models
Position: Data Scientist
Category: Data Science
Experience: 6 years | English: fluent

fast learner, business-oriented researcher, data-driven mindset.
~ 3 years as Computer Vision engineer: products for Retail Marketing Analysis and Security Enhancement. During the last year, I was an acting team lead for data scientists and in-house annotators. 
~ 3 years as Data Analysts in Digital Marketing: leads ranking system based on knowledge aggregation from misc internal/external sources; graph analysis of social networks 
~ MSc in Physics: mathematical modeling of electron transport in nanotubes
~ MSc in Economics: innovations development modeling based on human capital factors research
~ A great number of online/offline courses in Informational Technologies (Basics, Programming) and Data Science (Math, ML, Computer Vision)

- Object detection/classification/segmentation/tracking in different environments
- product/model evaluation and validation
-  prototyping/PoC 
- EDA
Python, TensorFlow, pandas, numpy, scikit-learn, scipy
ElasticSearch, Kafka, MySQl, R, Matlab, AWS (S3, EC2)), Git, Jenkins, Docker, PowerBI, Excel
-------------------------------------------------------------
~ Solid Math background (probability, statistics, LA, functional analysis, Calculus)
- ability to understand/implement research articles
-----------------------------------------------------------
~ C1 English, intermediate French, pre-intermediate German
- highly developed  soft skills: negotiation, mediation/facilitation, presentation
- up to 3 years of providing soft skills training for various companies. 
I could be very useful as the pre-sales/technical interviews.
a product company, better a small team, research position, but open to discuss what you have
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: fluent


3 years experience in data science
Position: Data Scientist
Category: Lead Generation
Experience: 3 years | English: upper


3 Years experience in lead generation, worked with many different industries and teams
Have experience with Sales Navigator, Apollo.io, G-Suit. I'm a faster learner and can easily deal with your tools)
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: upper


3 years of experience in Data Science & Analytics, conducting research on various topics and issues, pattern recognition, predictive analytics. Have an experience of machine learning models creation.
Experience of working in Python, R, SQL, Tableau.
Worked with supervised and unsupervised statistical techniques such as regression, classification, clustering, forecasting, time series analysis.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: intermediate


3 year student of applied mathematics. I have a little experience with Deep Learning at the university. It was a course project for Image Recognition using Convolutional Neural Networks in Keras. There have also been projects with Multithreading (C++, STL) and GPU computing (CUDA, OpenCL). I would like to further develop in Data Science.
Machine Learning, Deep Learning, Computer Vision, NLP, Time series analysis, etc.
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: fluent

I have solely developed the data science part of a product currently operating on a national-level remote sensing system. Also, in several companies, I developed consumption forecasting models and supporting software. What is more, I have several publications in leading scientific journals.
4+ years of industrial experience in data science (deep learning, natural language processing, remote sensing, time series, finance, trading) + scientific experience in top European universities. I was working both in small startups (where I was solely responsible for the data science part) and medium-sized companies, as well as consulting experience. Primarily, a python scientific stack was used (Tensorflow, Keras, and Pytorch).
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper

- AI Spring Hackathon 2018: winner
5 month experience as data analyst in product company

Visualization of results: - Plotly
- Dash by Plotly
- Smoothing plots with convolution & neural networks
- Google SpreadSheet API for Python;
Confident experience in SQL, R, Python: - numpy, pandas
- scikit-learn, scipy
- gensim, bigARTM
- keras, tensorflow;
Understanding and using ML algorithms: - regression
- time series forecasting
- classification
- clustering
- neural networks
- topic modeling;
Basic knowledges in computer vision, NLP;
;;Dealing with garbage data: cleaning and building informative features
Work in team, irregular working hours, ability to hone my skills and master state-of-the-arts in science about data, creating really good useful product
Position: Data Scientist
Category: Data Science
Experience: 7 years | English: upper


5+ years experience with Python, R+Shiny, SQL, data exploration/manipulation/aggregation, machine learning ...

- Machine Learning, neural networks. System for models building, training, evaluation and implementation.
- End to end machine learning projects: data exploration, feature engineering, models building, evaluation and implementation.
- Experience in working with large amounts of unstructured data from FMCG and Fashion sphere. Especially, creating different machine learning solutions for clients, existing products sales prediction, new products launches, products life cycle detection ... etc.
- Extracting features form text using NLP approaches
- Data Analysis/Manipulation/Aggregation/Exploration
- Data visualization, creation analytical web applications/dashboards and different tools
- Shiny-server maintenance and support
- Developing financial strategies
- Theoretical proofing of ideas
- Produce prototypes to demonstrate concepts and ideas
- Automated crypto trading platform from scratch
- Python Development, Engineering.
- Data management system, configuration and management of data validation processes
- Development of  analytical databases

Higher education — Mechanics and Mathematics. Theoretical and Applied Statistics.
I will appreciate, if projects or company somehow related to Russia, do not contact me) 
Preferably to have at least one person in the team.
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: fluent


5 years python3 exp, 4.5 years with data science / machine learning;
Time series, tabular, automated trading systems, signal processing, clustering, NLP, etc
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: upper


6 months
Position: Data Scientist
Category: Data Science
Experience: 6 years | English: fluent


6 years of Data Science experience in IT. Expertise in different domains (HFT, NLP). Strong analytical skills. Ready to take initiative, change status-quo and get things done. Love to solve complex problems, getting value out of data and always eager to learn. 

Data Analysis, Statistics, Statistical Programming, Data Mining, Machine Learning, Artificial Intelligence, Natural Language Processing, BI. 

Experience with: Python, R, SAS, SPSS, SQL, Azure, Big Query, Azure Data Factory.
Remote only