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

Skills: Anlytics of BigData in python, develop different models like fraud detection, strong knowledge of SQL, Data Annotation, work with opencv, YOLO models, developing of object detection-tracking system,prediction of ads conversion, prediction of time series
Data scientist CV
Data Annotation, Creating multi-view matcher for annotations,
Train and develop multi-tracking system for security cameras in malls on YOLO

Lead of Machine Learning department in advertising company.

Fraud detection, analysing and clustering Data, building models to improve biddings and conversions, setting parameters for better promotion of ads

Experience with NLP, CV(object detection and recognition), Time Series(my graduate work is predicting BTC stock price) and Financial Data. Python (numpy, matplotlib, sklearn, keras, tenserflow), Java Script, SQL
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: fluent


Data Scientist (Dec 2021 - current, Jun 2020 - Jun 2021)
Retail

Project overview: 
Customer Value Management project in one of the biggest Ukrainian retail companies to provide our customers the best personalized offers.

Achievements:
- Built LookAlike model for better audience coverage
- Built BPR-base Recommender System for personal preferences (item's utility)
- Worked on Uplift model for better uplift accuracy
- Worked on demand prediction models


Data Scientist (Jun 2021 - Dec 2021)
Betting

Project overview:
Web sports book for a wide range of sports including
classical and cyber sports

Achievements:
- Builed approximations and probabilistic models for sport events (linear, polynomial, logistic, NeuralNets)
- Deployed and continuously developed models in Go
environment


Other experience (academic):
Time-series modelling (ARIMA models, GARCH models, Kalman Filtering/Smoothing [state space models], quantile models [CAViaR]), multi-variable analysis, options’ price prediction with Black-Scholes model (EU options) or Monte-Carlo simulations (American options), trees (for barrier options), options with GBM/AGM/Mean-Reverse processes
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: pre


Data Scientist
Eurotolia
•Discover and understand business problems
•Implement cost-minimizing AI solutions
•Collecting and analyzing data
•Developing and evaluating machine learning models
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Software Engineer
Technomind Digital Systems
Sep 2021 – present | İstanbul
Collection and preparation of pathological data of
patients.
Application development with PyQt5 Framework for
image annotation by pathologists.
Designing Continual Learning-based deep learning
models for cancer diagnosis.
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Data Scientist Freelancer
Upwork
May 2021 – present | Remote
Obtaining 3D images by machine learning
reconstruction from 2D images.
3D object viewer design using Python, JS and PHP.
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Software Engineer Intern
Cezeri AI Robotics Technologies - BAYKAR
Jun 2021 – Aug 2021 | İstanbul
GNSS satellite simulation with MATLAB
R&D were done on GNSS systems.using C/C++
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Software Engineer Intern
HAVELSAN
Sep 2020 – Oct 2020 | Remote
AR tank simulation has been developed with Unity.
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Python Developer Intern
TUBITAK - BTU
Mar 2020 – Sep 2020 | Remote
As a scholarship student, a Turkish Python editor
was developed with the PyQt5 Framework.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: pre


Data Scientist familiar with the gathering, cleaning, and organizing of data for use by technical and non-technical
personnel. Understanding of statistical, algebraic, and other analytical techniques. Highly organized, motivated
and diligent with a background in computer vision. Projects I've been working on include but are not limited to
such:
- Determination of teeth bites by photo
- Finding irregularities on the painted surface of the handle for cars
- Human pose estimation and classification
- Using reinforcement learning, I created a model to complete the levels of a 2D platformer.

• Data marking on multiple different projects, mostly -
an image recognition. 
• Compiled, cleaned, and manipulated data for proper 
handling. 
• Applied statistical and algebraic techniques to 
interpret key points from gathered data.
• Data markup, training model Mask-RCNN, worked 
with Detectron2, writing scripts to the process model 
predictions. 
• Implementing SOTA solutions in the computer vision field 
• Using reinforcement learning, created a model to complete the levels of a 2D platformer. Writing C# scripts and setting learning parameters.
• Carried out day-to-day duties accurately and 
efficiently
Position: Data Scientist
Category: Python
Experience: 2 years | English: upper

- Bachelor of Computer Science in Kyiv national university of Taras Schevchenko
- Multiple winner of Mathematics school Olympiads
- Over 10 successfully completed courses in Coursera
Data Scientist in Argo fashion retail (April 2021 - present)
- A/B testing 
- Building predictive models
- Creating customer segments
- Building recommendation systems
- Ad-hoc analysis
- Deploying ML models using Django and Vue.js
- Creating high-quality data visualization
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: intermediate

Winner in the competition Best in Profession 2018
Data Scientist in IT department of biggest bank of Russia (from June 2018 to the present)
R&D department

Dialogue System Project:
Construction of neural network algorithms for voice processing (speech-to-text) (using Tacotron, Waveglow)
Intents extraction (user needs) and their classification (order a taxi, way to home, cooking) from the text
Developing algorithms for NER (Named Entity Recognition: dates, addresses) using rule-based approach (Yarge parser) and NLP methods
Classification of Wake words (determine what skill in the voice assistant user wants to "call")
Pushing code with new assistant's skills to production.
Developer of NLU, NLP and NLG parts of voice assistant.

Other projects:
Development of data processing models using machine learning algorithms
Graph clustering based on clients' transaction- and geo-data
Building recommender systems
Deploying deep neural network architecture for face recognition application for internal use in company.

Software engineering in Python (keras, NLTK, Gensim, numpy, pandas, sklearn, networkx, community, etc) and Python + Spark

Follow the Agile paradigm at work


Junior Data Analyst in the biggest Russian bank

Client-oriented analytics 
Data mining and data visualization, preparation of dashboards 
Working with relational databases (SQL, Hive, Spark) 
Applying NLP methods for transaction analytics


Quality Assurance Quality Control

MSc in Big Data Analysis in Business, Economy, and Society. 
National Research University "Higher School of Economics". Saint Petersburg, Russia. 2016-2018
Topic of the course work: Search and extraction of critical moments in eSports.
Thesis: Building an image processing system based on neural network algorithms

University of Turin. Stochastics and Data Science. 2017-2018.
Exchange student. 

BSc in Mathematics
National Research University "Novosibirsk State University". Novosibirsk, Russia. 2012-2016
Thesis: Limit theorems for functionals of order statistics (area: mathematical statistics

I participate in hackathons.
Programming language: Python
I am constantly self-educated and interested in innovations in the field of machine learning and deep learning.
I plan to move to Italy in September and looking for remote work.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper


Data Scientist , Intellias, Kiyv
January 2022 — December 2022
• Engaged in monthly calculation of forecasts for 5000+ products
• Analyzed the results of the models and their discrepancies with the client's
expectations
• Automated, refactored, fixed and optimized forecast calculation scripts
• Identified the best forecast models and finetuned them
• Validated data, defined issue, corrected errors in the ETL process

Data Scientist , Alfa-Bank Ukraine, Kyiv
October 2019 — December 2021
• Designed scoring models using binary classification models - Logistic
regression, Random forest, Gradient boosting, Naive Bayes classifier,
Support-vector machine 
• Created multipurpose stored procedures for data preprocessing
• Monitored the quality of models and the stability of the data flow 
• Implemented Python/R models into MS SQL environment for their daily working 
• Actively participated in onboarding process: created and decomposed tasks for newcomers, reviewed their work

Trainee Data Scientist , Fractal Analytics, Kyiv
January 2019 – May 2019	
• Worked individually on an educational project and in an international team
for solving various problems by analyzing and construction of mathematical models
I am seeking an opportunity where I can use my experience and education to help the company meet and surpass its goals and grow as a specialist.
Position: Data Scientist
Category: Data Science
Experience: 6 years | English: fluent


Data Scientist interested in Machine Learning and Computer Vision research. I have a strong academic background in
Mathematics, experience in analytics, software engineering and machine learning. Fan of data-driven approach, enjoy
communication with team members and stakeholders, excited to work on challenging and innovative projects.
Currently I am looking for a part-time job as a Data Scientist or Data Analyst. I would like to extend my experience with new real problems I can help with.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: pre


Data scientist(Jan 2019 - Dec 2021)

Responsibilities:
 - implemented various time-series forecasting techniques to predict forecasting for electricity consumption/generation;
 - collecting and preprocessing data;
 - building, monitoring, and supporting ML models;
 - investigate different approaches to solve problems.

Achievements:
 - increased the accuracy of the models up to 10%;
 - development of own algorithm for validating models for time series.

Technologies: Python3, Machine Learning, Keras, PostgreSQL(SELECT, UPDATE,
INSERT), Git, Tableau.

Data scientist(Aug 2018 - Dec 2018)
Responsibilities:
 - design Computer Vision model to detect price tag on images;
 - images pre-processing;
 - developing parser information from price tag;
 - text classification by categories.

Technologies: Python3, NLP(TF-IDF), OCR, SVC(Linear kernel).

Рython developer/data scientist(May 2017 - Jun 2018)
Responsibilities:
 - analyzing and improving trading models;
 - creating telegram_bot for Poloniex;
 - building trading_bots for Poloniex, Binance, Kraken, Bittrex;
 - classification of users.
Technologies: Python3, AWS (EC2), Telegram, MongoDB, Tableau, LaTeX, ML Azure, Pandas, Bitbucket.
I am looking for a company where I can work in a friendly team, led by professionals, improving my skills, working with interesting projects. I’m diligent, have ability to quickly learning of new knowledge, focused on results and teamwork.
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: upper

AWS Certified ML Engineer 
Certified Tensorflow developer
10+ models crated from scratch and deployed to prod
Data Scientist / ML Engineer: more than 4 years of experience
Worked with BERT, T5, GPT-neo, Transformers, and different architectures of Neural networks to solve NLP issues. 

For the last couple of months created a couple of chatbots and knowledge base engines with Gen AI (Open AI API, GPT-3.5, GPT-4, GCP PaLM)
Lots of freedom and independence, 
Ability to work with specialists that are better than me to study from them
Start-of-the-art NLP
MLOps tasks, Open AI, Generative AI.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper


Data Scientist
MyCredit | Full-time | Jul 2020 - Jan 2022

Decision-making concerning the credit disbursement.
- Developed an end-to-end machine learning pipeline for Probability of Loan Default Prediction.
- Sample collection, experiments with the target, data mining, and production testing.
- Deploy and support flask application for the decision system.
- Creation and continuous improvement of Anti-fraud and verification rules.

Reports
- Communication with different teams and requirements creating.
- Writing and optimizing SQL queries.
- Creation of infrastructure for reports in Python.
- Visualization in the Google Data Studio


Data Analyst
Maxgrain International Ltd. | Full-time | Jul 2019 - Jul 2021

Project #1. Monitoring agriculture commodities prices in Ukraine
Was done: System that collects, cleans, and pushes data to Database and then makes automatic reports by it. In the process, a database for these needs was created.
Was used: Scrapy, PostgreSQL (psycopg2), Pandas, NumPy, pytesseract, OpenCV, regex, git.

  2. Project #2. Corn market analysis
Was done: Reports and charts that could help the trader make a choice.
Was used: PostgreSQL, Pandas, Plotly, seaborn, Prophet, statsmodels (ARIMA and other tools for Time series analysis).

  3. Project #3. Automation of various company reports
Was done: Automated Cash Flow, P&L, different Risk Reports, etc...
Was used: Pandas, different API's, AWS, Django + HTML/CSS, Jira.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: intermediate

I got my first job in the specialty after only a year of studying
I passed my final exams with scores 190+ :)
Data Scientist | Onseo, Ukraine
Data Scientist | Kyla, Ukraine 
Software Developer | Sardina Systems, Ukraine
It is important for me to be useful and to work on a useful project that can improve people's lives in the future.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: fluent

PhD in applied math.
Data scientist, PhD in apllied math. I have research background in academia and experience as a data scientist in healthcare, telco, and retail domains. Also I have experience in digital marketing (Google AdWords, Google Analytics e.t.c.).
Looking for remote work opportunities and interesting projects.
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: fluent


Data Scientist
QSS Analytics

Apr 2022 – Present (5 mos)

• Implementing Machine Learning algorithms on real world dataset 
• Building Neural Networks for Deep Learning Application 
• Data Analysis and Visualization on real world dataset 
• Web Scraping to collect dataset



Python/Big Data mentor
Data Science Academy

May 2022 – Present (4 mos)

Guiding students and maximize their learning through lessons and project work during the Bootcamp program


McKinsey&Company Prohack
This is an anonymized dataset provided by the one of the most prestigious consulting
companies around the world that operate in many countries including Azerbaijan. In this
task, I had to predict the target value (“y”) given all the other features. Throughout this
task, I completed all the advanced necessary steps and all of the necessary phases encompassing the CRISP-DM framework to successfully build an in-house prediction model
for a regression problem. The main objective was to extract new meaningful features from
the existing ones. Target encoder was used for categorical variable transformation. Target encoder is prone to inducing overfitting which was prevented via calling the KFoldTargetEncoderTrain class and removing a Galaxy category from the dataset that do
not exist in the test set. Outliers were handled via IQR method.


Electricity Contract Selection (2022)
This particular project covers step-by-step implementation of advanced Data Cleaning
techniques that are required to get a data to be ready before the Modelling phase in
accordance to the CRISP-DM framework. All steps were completed on Python programming language with the assistance of Pandas, Numpy and Re (Regex) libraries and
their built-in functions. Furthermore, certain functions that allow us to reorganize and manipulate data were compared with regards to computational time to my self-written
functions, because checking time-consumption and computational effectiveness of a code
is often an overlooked aspect of programming. 

Image classification with Python (2021)
Given the Image Classification dataset consists of 6 classes, I am
asked to build a model that can correctly classify images. I applied a
method called transfer learning and tried three neural networks
architectures: VGG16,Resnet50 and Inception-v3 Build a neural model.
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: upper


DATA SCIENTIST
Raiffeisen Bank
08.2022 - present
Creating predictive models.
Studying the client's organizational structure.
Turning business requirements into real projects.

DATA ANALYST
Auchan Hypermarket Ukraine
07.2021-08.2022
Create analytical reports and update them.
Optimize reports
Improve the quality of the client database (created an algorithm for cleaning duplicates of client data, update data relevance).
Conducted GAP analysis.
Position: Data Scientist
Category: Data Science
Experience: 11 years | English: fluent


DATA SCIENTIST, RESEARCHER
2022 – 2023
-	Technologies: Python, AWS (Lambda, SageMaker, s3, etc.)
-	Development of prediction systems for technical failures of bearings and pumps
-	Development of estimation algorithms for different predictive models comparison
-	Estimation and improvements of early deffects detection
-	Preparing and presenting of resulting decks and dashboards

DATA SCIENTIST, DEVELOPER, PROJECT MANAGER, INNOVATIONS LEAD
March 2018 – 2021
-	Technologies: Python, R, Microsoft SQL Server, C#, Elixir, JavaScript, Microsoft SQL Server
-	Development of Analytical Platform using Nonlinear Dynamical approach and NLP (BERT) combined
-	Development, implementation, support and enhancement of forecasting systems for cryptos, metals and currencies basing on nonlinear dynamics models; creation of own nonlinear forecasting algorithms
-	Parsing and processing pdf documents for market sentiment analysis (BERT)
-	Work on Adverts parsing and processing projects
-	Development of interactive 3D Globe for Economic Data Visualization
-	Developing Web applications for the following systems:
	- Medical data storage system
	- Financial flows system
	- Global hotels booking system
-	Development of interfaces for booking portals
-	Different projects for website optimization and development

SENIOR MATHEMATICIAN, DATA SCIENTIST
August 2016 – February 2018
-	Technologies: R, Python, PostgreSQL
-	Development, implementation, support and enhancement of forecasting systems for sales indices
-	Creation of analytical and forecasting products basing on multi-dimensional nonlinear forecasting, multi-models forecasting systems, nearest neighbors, ridge regression, logistic regression, random forest, cluster analysis, factor analysis, principal component analysis
-	Preparing multiple decks on the project results for the clients

PROJECT MANAGER, ECONOMIC PROCESSES MODELING EXPERT
March 2008 – August 2016
-	More than 30 successful industrial market research projects: market research and modelling, SWOT and COST analysis, market niches identification, market volumes and sales forecasting, etc.
-	Development and implementation of forecasting and classification systems for number of subscribers for information & analytical products; nonlinear system for price forecasts; unique charts format (incl. Cost Curve and others)
-	Optimization models for industrial markets for deep analysis of structure and prospects of the markets
-	Participation in international conferences
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: upper


Data Scientist & Software Engineer with 8 years’ experience in software design and implementation for major clients in the Energy industry. Strives to leverage new technologies to build and deliver reusable tools and solutions to produce repeatable quality results.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: intermediate

1)  --- Winner of CSC Hackaton 2021 (4nn team) ---
Created a system using computer vision that sorts images into different classes that the user enters.
2) --- Finalist of Wild Wild Hack 2021 (4nn team) ---
Created an interactive system for quick and easy child education.
3) --- Finalist of Silpo Hack Challenge 2021 (4nn team) ---
Created a system for monitoring useful products in the store.
4) --- Finalist of Hack4Retail 2021 (4nn team) ---
Solved the optimization problem, which consisted in minimizing the cost of transportation, taking into accountrestrictions on capacity.
5) --- Working in a startup "Clasee" (10.2021 - 01.2022) ---
Data Scientist
    Tasks:
- Determining the rate of sales;
- Ranking images of apartmentlayouts for clients.
- Working with the CRM system;
- Сlassification of successful and unsuccessful leads;
- Populating a knowledge base for a company using web scraping and dataset creation;
- Data cleaning, feature selection, exploratory data analysis,
modeltuning.

Machine Learning Engineer
    Realization of of a system for recognizing the emotions of passersby on billboards in real time.
    Tasks: 
- Image processing, scaling and normalization 
- Сreation and implementation a model for recognizing emotions, hyperparameter tuning
- Created a system for eye tracking
- Created a system for counting people who looked at the camera

Junior Data Scientist
Realization of an air quality monitoring system and detection of abnormal temperatures.
Tasks: 
- Data preprocessing and feature engineering
- Anomaly detection and building further strategies to eliminate them
- Building a regression models, improving them and increase accuracy
- Data visualization and building dashboards
- Writing a scripts to automate the download and upload of data to the AWS server.
Good salary, professional and friendly team, interesting projects, mentoring
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: upper


Data Scientist Technical Lead
02/2020 – Present
- Mentoring and managing the data science team (5 persons).
- Developed technology for the generation of stylized avatars based on users' faces.
- Created models for the detection of abnormal customers/employees/assets in an gas/energy company.
- Built the infrastructure for ML (predictive maintenance, driver behavior) in the automotive project.
- Trained models for dentists' AI assistants (tooth numbering, problem detection).
- Created a cannabis disease classification and localization system and plant parts detection model.
- Developed risk score prediction model based on histological slides of patients with a tumor.
- Built a model to identify the relations between diseases and mutations in the medical articles.
- Designed and developed a medical article clustering service.
- Developed a user verification system based on users' drawings.

Python Instructor
08/2019 – 06/2021
- Taught groups of people in Python, algorithms, object-oriented programming.

Data Scientist
10/2019 – 02/2020
- Developed the system for real-time detection of various sounds in the audio. The system can be automatically retrained for new types of sounds. Deployed the system on the Raspberry Pi.

Data Scientist 
10/2018 – 10/2019
- Applied pre-trained neural networks for different classification problems.

Data Analyst 
07/2018 – 10/2018
- Developed a software prototype to help patients who do not know the language to communicate with doctors.