lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Scientist
Category: Data Science
Experience: 11 years | English: pre


November 2019 – present
CJSC TT Mobile (Megafon Tajikistan), Department of Information Technology and Innovative Services. Position: Senior Engineer 
October 2017 -  November 2019
CJSC TT Mobile (Megafon Tajikistan), Department of Information Technology and Innovative Services. Position: Engineer 
November 2015 – August 2017
Tacom LLC (Beeline), Department of Information Technology. Position: Technologist
Febuary 2015 – November 2015
Tacom LLC (Beeline), Department of customers Service 
Position: Senior Incident Management Specialist
July 2013 – February 2015
Tacom LLC (Beeline), Department of customers Service 
Position: Senior Monitoring and Reporting Specialist
July 2009 - July 2013
Tacom LLC (Beeline), Department of customers Service 
Position: Monitoring and Reporting Specialist
November 2007 - July 2009
Tacom LLC (Beeline),  Department of customers Service 
Position: Customer Information Services Specialist
Technological University of Tajikistan – Febuary 2013
Assistant, Department of Information Systems and Technologies, discipline: Software development technology. 4 course.
Technological University of Tajikistan - September 2013 - January 2015
Assistant of the Department of Computer Systems and Internet Technologies in the disciplines: Modern programming methods (5 year), Programming in high-level languages (3 year), Information systems in economics (3 year), Internet technology (1 year).
Assistant, Department of Information Technology and Disciplines: Software Development Technology. 4 course
Technological University of Tajikistan - September 2013 - January 2015
Assistant of the Department of Computer Systems and Internet Technologies in the disciplines: Modern programming methods (5 year), Programming in high-level languages (3 year), Information systems in economics (3 year), Internet technology (1 year).
Position: Data Scientist
Category: Python
Experience: 0 years | English: intermediate

In several of my course assigments I have developed applications with using of image processing and face recognition. Also, with my colleagues, I have conducted comparative research of existing OCR tools, where I have developed testing scripts and have analyzed performance of used algorithmes.
Now I'm a third-year student at NURE. I haven't any commercial expirience yet, but I have strong knowledge of Python, C++, HTML+CSS+JS. Also I am familiar with Java and C#.  I'm quite expirienced with OpenCV and image-processing algorithms. In several of my course assigments I have developed applications with using of image processing and face recognition.
My area of interests is Data Science, escecially Computer Vision and Natural Language Processing. I want to evolve as datascientis and obtain practical skills, working on interesting, non-trivial tasks.
Position: Data Scientist
Category: Python
Experience: 2 years | English: upper


Now I’m studying in the third year of the Computer Science specialization. I have experience with Probability Theory and Statistics, Numerical Methods, Linear Algebra, Python, Machine Learning. I want to work in this sphere and ready to learn all necessary technologies in short terms.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: intermediate

I always try to take new courses and study new materials, read articles on forums, ready for development.
On-chain data collection and analysis(pandas, bitquery, sqlite) development and support of time series model(sci-kit learn, sktime, prophet, pmdarima), scoring system, convolutional/rnn neural networks (TensorFlow)
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: upper

OnCredit
Data Scientist | November 2021 - Present
Refactored existing risk rules to increase preprocessing flow speed x50 times
Proposed and implemented smart issuance of money for clients regarding their defaults inside the scoring bins using constrained numerical optimization methods
Developed new risk rules using existing and new external services to detect fraud 
Improved production and analysis queries productivity using advanced SQL techniques
Simplified any kind of analysis with custom templates
Responsible for the operation of the entire risk service of the Sri Lanka team
OnCredit
Data Scientist | November 2021 - Present
Refactored existing risk rules to increase preprocessing flow speed x50 times
Proposed and implemented smart issuance of money for clients regarding their defaults inside the scoring bins using constrained numerical optimization methods
Developed new risk rules using existing and new external services to detect fraud 
Improved production and analysis queries productivity using advanced SQL techniques
Simplified any kind of analysis with custom templates
Responsible for the operation of the entire risk service of the Sri Lanka team

CompatibL
Quantitative Analyst | July 2021 - October 2021
Support and development of trading financial instruments provided with unit tests
UNIX systems bash scripts development for financial instruments testing and execution
Responsible for the source code delivery
Interested in Data Science/Data Engineer positions that interact with data, build pipelines, deploy models. Not interested in Data Analyst positions.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: upper

- Time series agri-cultural fields prediction using conv-lstm.

- Agri-cultur Semantic segmentation using conv-lstm, U-Net and different types of U-Net.
One year expirience in RnD department. 

Interesting cases: 
 - Semantic Segmentation, 
 - Classification, 
 - Next Frame Prediction, 
 - Dataset preparation and Image processing,
 - Data Analysis.

Tools: pytorch, docker, keras, tensorflow, matplotlib, tensorboard, pandas, numpy, etc.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper


Organizer and inspector of EGMO 2019 Kyiv;
Organizer of the 1st stage of the All-Ukrainian Student Olympiad in
ACM programming ICPC (Faculty of Computer Sciences and
cybernetics);
Organizer of mathematical Olympiads for students 6-9 (Faculty of
Computer Sciences and cybernetics);
Tutor in mathematics (preparation for external examinations, 2
years).
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper

Experience in IT
-  12.12.2021-05.2022 – Python programming
-  01.2021-08.2021 – video creating using Cinema 4d, YouTube Studio, Inshot, Thubnail maker, VidiQ, Movavi Video Editor
-  06.2021-12.2021 - mobile applications without code (no-code software development) using the service Adalo.com;

Experience 
2005-2010 border guard service(juridical practice)
2010-2022 realtor(sale and rental of apartments and land)
2012-2022 daily rent of apartments
2014-2021 e-commerce by social network(Facebook, Instagram, VK, Viber, Prom.ua)
Other non-IT professional skills: 
realtor(sale and rental of apartments and land)
translating English-Ukrainian, English-Russian  - speaking, reading and writing Intermediate B2 
translating Turkish-Ukrainian, English-Turkish  - speaking reading and writing start level
e-commerce by social network(Facebook, Instagram)
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: fluent


OutHouse:

Telecom with the commercial bank launched a Fintech start-up. The core of it was to build credit scoring based on machine learning algorithms, enriching bank's scoring with telecom scoring. Besides that, the trigger mechanism was developed to find consumers more likely to take a loan. 

Achieved  40% Gini of credit scoring model, resulting in earning of 6 million soms : 
           - Change old fashion credit scoring model to the machine learning model, using ensemble algorithms(Stacking)
           - Generated new features based on banking data with help of risk specialists
           - Deployed credit scoring model into the banking system (Colvir) 
           - Built telecom scoring model and calibrated it to the distribution of bank's target
           - Integrated telecom scoring into bank credit scoring model, which raised Gini by 8 percent
           - Developed a trigger mechanism by geolocation and action trigger points. In addition to the propensity model, defining the tendency of people to loans.
           - Deployed A/B test pipeline

InHouse:

Developed churn model + uplift models achieving 4 % decline in churn-out rate
Created consumer segmentation model using clusterization
Constructed machine learning orchestration using Airflow to manage running workflows of data uploading(DAGs) and generating predictions
Created web interfaces for retrieval of ML models predictions, which automated hours of manual work 
Developed a dashboard of models predictions statistics to monitor models' stability
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: upper

I have an excellent understanding and intuition of the mathematical principles of deep neural networks and optimization algorithms.
Over 4 years of experience in data science, scientific research, machine learning, and ML-involving platforms building using various technologies, environments, and
programming languages.
Contributed to all the stages of discovery, design, development, and production of multiple products.
I love tasks related to R&D, I want to develop new models in a friendly team and receive a decent salary for it.
Position: Data Scientist
Category: Data Science
Experience: 9 years | English: upper

Handle boosting model  for rank prediction,
AdaMax optimization,
Factorization of polynomial model,
Video classification for laptop,
Scraping the web pages,
Classification users of their action in web,
Recommend System of click
over 8 project in Machine learning
RecSystem, Video Images Classification, NLP, Time series
new experience
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: fluent

I built an analytics function within the Department from scratch, from 0 to 5 analysts, promoting data-driven decision-making. E.g., we discovered efficiency improvement opportunities that helped to re-engineer business processes and optimize the headcount by 30%.
One of my recent projects is a Streamlit app to monitor daily search trends and related news in two countries using pytrends, GoogleNews, googletrans, and Python, deployed to Heroku via GitHub.
Overall, I have 15+ years of professional experience in Analytics (BI), Corporate Finance, and Strategic Consulting. Ph.D. in International Economics. For the last four years, I have been developing the analytics function within one of the largest in-house legal teams in Ukraine. Therefore, I have experience with data/text mining and some NLP tasks within the legal domain, extracting actionable information to support risk management and efficiency improvement, and presenting my findings to senior management.
I use Python (self-taught) for data analysis, SparkNLP, spaCy, and other tools for NLP tasks, and Streamlit to develop data apps. Looking for the opportunity to develop within the Data Science field further, within NLP or other branches.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper


Over the past year, I have been actively advancing my skills as a Python Software Engineer. Prior to this, I had experience working with Java and its popular frameworks. Additionally, I developed a chatbot designed to assist in learning new foreign words. Throughout the course of this project, I gained expertise in working with relational databases, utilizing ORM, constructing object-oriented applications, creating REST APIs, conducting testing using Postman, architecting database structures tailored to specific business needs, acquiring foundational DevOps skills, and interfacing with third-party APIs.

Moreover, I thrive on solving complex algorithmic challenges across various platforms, such as LeetCode. My passion for mathematics is evident, particularly in applying diverse mathematical methodologies to address real-world business issues and make data-driven business decisions.

Over the past six months, I have been dedicating myself to evolving as a Python Software Engineer with a focus on Data Science. To achieve this, I have been actively studying contemporary technologies for Data management and the construction of modern, high-performance Python applications.

Since July, I have been collaborating with a full-fledged team on the development of a Ukrainian marketplace. This platform is oriented towards promoting and selling designer products from Ukrainian brands and creators. Within this project, I am responsible for the backend aspects, specifically involving API design, database architecture, and the application deployment process.

I am currently seeking commercial projects that would allow me to apply my current skill set and enable me to gain new experiences in development, particularly in the realm of Data Science tools and techniques.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper


Participated as a developer in a game development project using the Construct 2 development platform. Participated in the Digital Wear hackathon. I was engaged in forecasting Ukraine's public debt and cryptocurrency prices using Excel, Gretl, and R Studio. I want to develop more in the direction of Data Science, so I am deepening my knowledge of R and learning Python.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: upper

Deep understanding of mathematics and machine learning algorithms. Good knowledge of libraries and frameworks for machine and deep learning. Ability to write clean, scalable code
Participated in adtech and fintech projects. The set of tasks included data collection from the database, parsing of web pages, statistical tests, hypothesis testing, development and implementation of predicative models, code base supporting, implementation of models and writing tests.
 I have a great desire to grow towards in the deep learning direction. I have pet projects with applying it to tabular data, computer vision and NLP.
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: intermediate

ML-thematic research thesis. mlcourse.ai(by Open Data Science global community) graduate. SpinoffHack 48 hackathon participant.
Participated in Kaggle classification and regression competitions. Familiar with multivariate (categorical and numerical) and text data.  Following stages of the data science process have been worked out: Exploratory data analysis, data preprocessing, modeling, hyperparameter tuning, result validation
Various issues encountered: feature extraction, feature engineering, feature transformation, dealing with overfitting, combining different models into ensembles
Looking for a friendly team of professionals to be able to grow in many Data Science directions in various business domains
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper


Participated in the educational program "Seeds for the Future" by Huawei, which included the following courses: ICT, Leadership, 4G, 5G, AI, Cloud, Big Data, Cybersecurity, and Teach4Good team project.
Currently participating in the Machine Learning Bootcamp by Google aimed at acquiring skills in using TensorFlow.
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: upper

- Winner of Data Science Haсkathon INT20H 
- Master of Science degree in Data Science and Mathematical Modelling. NTUU “Kyiv Polytechnic Institute”, Faculty of Applied Mathematics (graduate 2021)
- Exchange study in Sweden
- Started two DS projects from scratch
Passionate Data Scientist with a strong mathematical background.
Master's degree in Applied Mathematics.
Experienced in working with research projects, data collecting, engineering and preparing, classification/regression/clustering problems, feature engineering, time-series, imbalanced data, multi-label cases, metrics selection, interpretation of ML models etc, as well as defining DS project specifications and building DS architerture.
All important soft skills are surely present :)
More detailed experience is below.


Non-commercial projects:

- Dengue epidemic modelling (Research, Data Visualization, Time-series forecasting)
- Nocturnal Hypoglycemia prediction (Research, Data Analysis, Mathematical modelling)
- Sleep detection with wrist-worn accelerometer (Data Analysis, Deep Learning)
- Taxi demand forecasting (Data Visualization, Time-series forecasting)
- Fake news detection using Big Data tools (AWS, Apache Hive DB, PyHive, RDS MySQL, Data Analytics)
- Heart disease discovery (Data Analysis, Feature Analysis, ML multi-class classification approaches)
- The system of occupational morbidity risk assessments in medical staff (Research, Data Analysis, ML multi-label classification approaches, Interpretable ML, Imbalanced learning, Clustering algorithms, Feature Importance)


Commercial:

- Healthcare research project (from scratch):  
research of medical data & medical papers reviewing, building ML project architecture, defining data requirements, launching data collection, medical data engineering & preparing, testing baseline models.

- RecSys project (from scratch): 
research in music information retrieval, building ML project architecture, decomposing tasks, launching and supporting data collecting and data annotating processes (iterative to meet desired model accuracy), defining data requirements, combining different data sources, performing exploratory analysis, developing custom module for audio feature extraction, comparing regression and classification models for different tasks, tuning hyperparameters, defining metrics to correlate with business requirements, automatizing deployment & models re-training processes.

- Information analytical system (cybersecurity domain):
developing system modules (C#, Python), designing subsystem architecture, work with technical specifications, data engineering, training prediction models, performing descriptive data analysis, building reports and visualizations.
I am passionate about working with data and making data work for the purpose, so I seek interesting projects and companies where both of us can benefit from the cooperation.
Position: Data Scientist
Category: Scala
Experience: 6 years | English: fluent


PERSONAL PROFILE

I'm looking for a job in a company with interesting projects.
CONTACT I have experience in pet projects with a team. And I am
Kiev ready for new challenges.

[открыть контакты] WORK EXPERIENCE

github Trainee Developer
Tripmasters| Now 2020 – April 2021
bitbucket
QA Engineer
linkedin
Dinarys | Oct 2019 - Dec 2020
Made Test Plans, Test Cases, Check List and Bug Reports
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: intermediate


Personal project

Recognition of Tree Leaves:
Classification photo of leaves on what kind of tree the leaf belongs to using neural networks. Create Flask app, which allows you to interact with the neural network.

Used Cars Price Prediction:
Predict cars price using a dataset containing cars characteristics. Getting the best score on MSE. Builds Pipeline

Store Sales  - Time Series Forecasting:
Research on sales in Favorita stores in Ecuador. Time series forecasting of product sales using LSTM model

City Bike Dataset:
Analysis of City Bike Dataset. Building maps using Folium.

Customer Personality Analysis:
Detailed analysis of the company's ideal customers. Clustering of customers into groups using K-means.
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: intermediate


PERSONAL PROJECTS:
1. Magnetic field modeling with GUI (Python)
Modeling of magnetic field behaviour in different envioruments and on their interface for project in university

2. Modeling of protein formation process with GUI (Python)
The formation of a chain of amino acids in a protein for another project in university

3. Customer servise system (VBA)
Application for printery staff for more comfortable and reliable service

WORK EXPERIENCE:
1. Researcher
Sumy State University
09.2019 - present

2. Math/Physics teacher
Self-employed
09.2018 - present
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: fluent


PER-TREE ORCHARD ANALYTICS
• Aligning geo-tied images from different dates;
• Aligning non-overlapping drone images to a base-map; 
• Detecting trees from drone/satellite imagery;
• Speeding up fruit detection model;
• Developing instance segmentation for trees;
• Wrapping and deploying algorithms;
• Supporting deployed services.

GENE-DISEASE ASSOCIATION SEARCH
• Managing labelling process for relations;
• Searching for genes and diseases with NER;
• Extracting relations between genes and diseases.

HAND HYGIENE COMPLIANCE MONITORING
• Supporting a junior data scientist in developing the project; 
• Planning and approving development;
• Communicating project status with the client.
I would prefer a Computer Vision project. No AdTech or FinTech.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: fluent

Softserve Student's Hackaton 2020 - 3rd palce
Scientific publications in international journals indexed by Scopus:
1. Devising A Procedure For Calculating The Technical Condition Index Of Locomotive Nodes Based On Monitoring Results(doi:10.15587/1729-4061.2021.242478)
2. Signal Analysis of the Armature Rotation Irregularities in the Traction Electric Motor by Unsupervised Anomaly Detection Methods
Pet projects:
1. Devising a procedure to build technical index of the process
In this project I designed an algorithm which uses Principal Component Analysys and Hierarchy analysys method, which when used together can find the most important and informative parts of whatever process, you are analysing and display the function which could be further analysed and used to conclude a decision about the current state of the given part of tech
2. Analysys of creditability of bank clients/
In this project, i created a ranking model which can distinguish between bank clients in order to say whether the client should be given a new credit and is trustworthy or the bank should not give certain client a credit.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: intermediate

•Received a diploma of the ІІІ degree of the winner of the All-Ukrainian competition of student scientific works in the specialty "Computer Science" 2020/2021 academic year. 

•Took 1st place in the university competition for the best student research paper 2020/2021 academic year. (section "Computer sciences, software tools, systems analysis and information technologies", subsection "Computer sciences").
Pet Projects:

Airbus Ship Detection
The software is to detect ships in satellite images and generate mask images of ships.
Tech stack: Python, Numpy, Scikit-Learn, Keras, TensorFlow, Matplotlib.

FlueGasTreatment
The software predicts the result of the flue gas desulfurization process from sulfur dioxide. With this program, you can enter the value of the input parameters of the flue gas cleaning process and get a forecast of the SO2 content in the gas after desulfurization.
Tech stack: Python, Numpy, Scikit-Learn, Keras, Matplotlib.