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


For the past 5 years I'm studying ML systems development approaches at every stage: from data collection and storage to implementation and deployment of ML model. I have extensive knowledge of mathematical statistics, optimisation, machine learning, database development and Rest API. I want to get practical experience as a Data Scientist on real projects.

Web scraping: Scrapy
Deep / Machine Learning: Pytorch, scikit-learn
Data manipulation: Pandas, Numpy
SQL Databases: PostgreSQL
Rest API: Fast API

Understanding concepts of OOP (python)
Basic work skills with AWS and A/B environment

In recent years, I have worked on the following own projects:

- Anomaly detection in multivariate time series that describe the state of server hardware (CPU load, network usage, memory usage, etc.). To solve this problem, a combination of algorithms was used: Variational AutoEncoder neural network (VAE) and SPOT algorithm of Extreme Value Theory. 
- Modelling of nuclear reactor core cooling process using methods of mathematical physics. 
- Search the optimal location of the operational brigade in the city (for example: ambulances, mobile security groups, etc).
- career progression
- new knowledge and experience of working with real projects
Position: Data Scientist
Category: Data Analyst
Experience: 3 years | English: fluent


For the period of 9 years I was massively involved into the data and business analysis, working in both national and international organizations. I am experienced used of GIS, BI, R,  while my skills of working at Python are rather moderate. My current responsibilities include collectin/parsing, analyzing and processing the data. Currently, I occupy the position of M&E/Research Officer in the interanational organization and I would like to enhance my current skills by moving forward into the data science. Please refer to my CV for detailed description
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: upper

My main achievement is EPAM course  - a 6 month course of main data science topics with 12 home-works including kaggle competition. Each of those was contained of full DS pipeline - EDA, preprocessing, models selecting and evaluation, etc. List of passed topics: Python, EDA, Statistics, Regression, Classification, Clustering, Time Series, Neural Networks, Basic CV, Basic NLP. To get the certificate one had to do all the home-works (my avg score is 91.4) and pass a final technical interview. Whole course was conducted in English so I can work fully in English if necessary.
• Fourth-year KPI IASA Computer Science Undergraduate
• EPAM Data Science Training (6 month, 20hrs/week) 
• 3 GitHub projects: NLP, CV, Classification & Regression, Back-End 
• Python, C++
• Pytorch, Scikit-learn, HuggingFace
• MySQL
• English (b2), Ukrainian (native), Russian (native)
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: intermediate


Fozzy Group, Kyiv (Ukraine)
05.2021 - 05.2022
Data Scientist/Data Engineer 
From the one hand I have been to supporting and expanding already existing models, from the other hand I have been setup production pipelines and automation of brand new model from the scratch. All over retail and customer loyalty domain.

MobiDev, Kharkov (Ukraine)
2018-2021
Full-stack .NET developer, Team leader
I have been taking a part of architecture design, development and support phases on different projects from it start till it end. Also, I was leading small team of developers, which was worked in these projects under my leadership.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: fluent

I have published an NLP and Machine Learning-based article, which presents a technique for predicting personality types by analyzing posts from social media platforms. The article "Predicting Myers-Briggs Personality Types by the Natural Language from Social Media Posts" can be found on ReseachGate published under my name in 2022.
FREEDOM FINANCE | DATA SCIENCE INTERN | 12.2021 – 03.2022
· Gathered, preprocessed, and analyzed user trends information to research and implement new
strategies in one of the largest investment companies in the CIS region, improving user experience
and increasing customer operations satisfaction rate.
· Trained and improved various machine learning-based models for analyzing user data and
presented infographics for visual information about user experience trends.
· Participated in a computer vision project of creating fully autonomous security cameras on the bank
premises and took part in creating and implementing a machine learning algorithm for detecting
objects on video frames.


EXPOMOD | BACKEND DEVELOPER INTERN | 03.2017 – 07.2017
· Maintained the existing web application based on internally defined architecture and software
development best practices.
· Worked with the JavaScript, Django web framework, and relational databases on Postgresql.
· Gathered and analyzed customers’ requirements and trends for improving the user experience of
the web application.
· Managed the source code for maintaining, performance improvement, and service development.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: intermediate

Participant of the 2021 ICPC Southeastern Europe Regional Contest  11/2021
 Participant of the 2020 ICPC Southeastern Europe Regional Contest  05/2021
 Twice winner (third place) of competitive programming competition “KhCup” 05/2020, 05/2021
 Took an active part in many (15+) International and All-Ukrainian scientific and practical conferences. Published 9 articles in publications indexed by SCOPUS 2018 - 2021
 Twice winner of All-Ukrainian competition of student research papers in the field of "Transport technologies" 03/2019, 03/2020
 Second place winner of competitive programming competition “NURE Code Jam” 01/2020
 Third place winner (participants – 300+) of the competition “Samsung It School” 05/2019
 Participant of Transformative Business Models Conference (Dubai, UAE) 03/2019
 Took part in many (12+) regional competitions in mathematics, computer science and physics since studying in high school. Each time won 1-3 places 2014 - 2017
From October 2022 to Present
Data Scientist Intern at Winstars Technology LLC
• Created semantic segmentation model for time-distributed satellite images. Used UNet + ConvLSTM architecture. Worked with TensorFlow, Pandas, Numpy, Matplotlib, Python.

From April 2021 to June 2022
Backend Developer at Wolkov Consulting, Inc.
• Developed a system of chatbots in Slack and Discord. Worked with Python, DRF, NLP, Docker, GCP.
• Developed JRPC API. Worked with Scala 3, Http4s, Cats Effect, Mongo DB, Docker, Kubernetes, CI/CD.
• Developed the open-source metaprogramming project. Worked with Scala 3.

From July 2020 to April 2021
Full Stack Web Developer at Cruxlab, Inc – Web and mobile development company.
• Developed RESTful API. Worked with Python, DRF, Angular/React, Type Script, HTML, CSS.
• Created and presented ML models to predict the presence of diseases based on patient tabular data.
• Deployed projects to production on AWS.

From January 2019 to September 2019
Freelance Algorithm Engineer at GlobalFreelance.ua
• Tasks/Achievements: 50+/30+ successfully completed C++/Java tasks.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: intermediate

I was a member of the students` guild, so I can work with others.
From September to November 2021 worked at Ukrainian company. The goal of the project was automation and optimization of the placement solar system. On the project I worked mostly with AWS: created a lambda function for downloading data and uploading it to S3 bucket. Also, I moved the app to EC2. 

September 2020 - September 2021. Worked in a small Ukrainian company, where I had different projects.
1. Created a welcoming message based on LinkedIn page. For automation data collection I used Flask and Selenium. There was my first meeting with NLP - I used NLTK, Language tool, and tested language models (GPT-2, T5, Bert). The final program contained GPT-2, which was trained on sets of welcoming messages.
2. Object detection. Wrote image classificator for finding broken parts on solar panels. Used OpenCV for image preprocessing (crop the extra parts of photos, cut them into equal parts.
3. Found dependence between age, sex, results of blood tests and diagnosis. We hadn`t enough data and couldn't create it in the office :) So, this project was interesting but not successful.

From 2019 to 2020 I worked as a coding mentor for children. My tasks were to create a study program and teach children Python.
I want to work in command, where I can find something new for me, also it`s important for me - to have the opportunity to ask coworkers for help if needed.
I`m interested in computer vision, but also want to improve my knowledge in other fields of data science.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: fluent

ACM and Maths competitior with achievements on the national level.
Former Google and Microsoft Intern.
Full CV: https://drive.google.com/file/d/1EQ_b0McIlE0SrkWFetSdC3VNx7P_kKSX/view?usp=sharing

Experienced in Python, R, Java, C/C++, SQL.

ML libraries: keras, theano, TensorFlow, scikit-learn, pandas, nolearn.

Frameworks: Android SDK, OpenGL, Spring, Django.

Strong knowledge of algorithms and data structures, good mathematical background (Statistics, Probability theory), experience with Neural networks and variety of Machine Learning concepts.
Regularly involved in programming contests and TopCoder, Kaggle competitions.
Inspiring project, friendly staff,  good location.
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: upper


- full process of predictive models development from hypothesis to deployment with sklearn (data cleaning, feature extraction, feature engineering, model validation, deployment)
- pipeline engineering for data cleaning/f-extraction/f-engineering 
- analysis of user's behavior and product's features usage and presenting results
- modeling user's behavior using statistical methods (Markov Chains)
- TS analysis and prediction
- worked with marketing team on automating data processing and product's database improvements 
- monitoring and alerting for changes in internal performance
- making a full-scale validation of processed data
- developing email strategy from scratch with email-marketing team
- Acquiring data from different APIs (Google Analytics/CRM systems, Google Ads)
- ETL / Data preprocessing
- Data visualization
- Requirement gathering for IT dep on demand for different project
- Data analysis on demand from different stakeholders, getting insights and making recommendations.

tools:
- Python (numpy, pandas, scipy,seaborn,matplotlib, requests, cx_oracle, sklearn,fbprophet,gspread,google2pandas, etc)
- Excel, Google Sheets
- Google Analytics/ Google Tag Manager/ Hotjar/ Google Bigquery
- Tableau/Metabase/Google Data studio
- SQL (PostgreSQL, MySQL, Oracle)
- NoSQL (DynamoDB)
- Git/Docker
I'm searching for a new challenges, interesting projects and smart teams, where could learn something or learn someone. 

- please don't offer job titles with Business Intelligence responsibilities!
Position: Data Scientist
Category: Data Science
Experience: 10 years | English: fluent


•Full-stack data scientist over 10 years of hands-on experience in transforming complex data into actionable business insights, driving business growth and implementing data-driven solutions.
•Proven ability to identify and solve data science problems in a big data environment and develop models and algorithms for demand modeling, pricing, customer experience
•Proficiency in data science, machine learning, cloud engineering and full-stack development
•Skilled in building and maintaining relationships with stakeholders, with a track record of successful communication and collaboration
Position: Data Scientist
Category: Data Science
Experience: 9 years | English: fluent


Full-stack data scientist with strong background in economic modelling, ML and AI 
techniques for data analysis and forecasting. Experienced in project management, data 
management automation, automated dashboard creation, descriptive data analysis, and 
financial modelling. Passionate about education and scientific research
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper

In different roles designed and co-created 10 mobile and desktop titles.
Game developer with over 8 years of experience. Learning data scientist for 3+ years. Skilled in machine learning, statistics and programming.
Skills:
- Unity3d
- Game platforms
- Machine learning
- Python
- Pandas
- NumPy
- Data visualization
- Scikit-learn
- SQL
- Statistics
- A/B tests
- GameAnalytics
- Git
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper


GlobalLogic Internship
I completed an internship at GlobalLogic, the purpose of which was the development of the "car`s traffic sign recognition" project. The part of the project I was responsible for was training artificial intelligence to recognize road signs in real time. Got the following skills:
Pattern recognition. OCR technology. Python samples
CV. Technologies of machine vision. OpenCV, TensorFlow, Keras, Pytorch.
I would like to join the flock of IT professionals in the domain of Data.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: intermediate

Sertificates:
1. The Complete Python Bootcamp From Zero to Hero in Python.
2. Python for Data Science and Machine Learning Bootcamp.
- Good knowledge of Python;
- Working with datasets (NumPy, Pandas);
- Visualization data (Matplotlib, Seaborn);
- Experience with machine learning algorithms (Scikit-learn);
- Some experience with deep learning (TensorFlow/Keras);
- Basic knowledge SQL;
- Knowledge of data structures and algorithms.
- Some mathematical/analytical skills.
- Work experience with Git;
- English level: ~B1 (Intermediate), Ukrainian: Fluent.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: pre

Had experience in self-study and application of software-hardware complex for computing in athletics ("BattleMile").
Graduated GeekHub Data Science course with a certificate. Worked with various tasks of forecasting and classification, which included pre-processing different kind of data.
Used the classic models ML, ensemble methods and DeepML (serial, CNN, RNN, LSTM). I have little experience working with texts using NLP.
Also worked with Web (Flask and a bit of Django including RestAPI).
You can see more in the resume.
I am looking for an opportunity to develop in a good team.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: fluent


Graduating from one of the top Italian universities as a Computer Science and done Erasmus exchange in top Austrian technology university. 

My projects:
- Researching and applying NER models on the customer complaints database, creating an environment on AWS, deploying the model, providing real-time response with minimal latency and integrating it into social network bots
- Using appropriate analysis to explore which variable affects churn most and detect customer clusters with the highest churn rate
- Developing credit risk modeling for a financial company to calculate the chances of a borrower defaulting on the loan
- Crawling data from websites and social media to use in the assessment of tourism  potential and cross-country tourism comparison
- Using appropriate analysis to explore which variable affects churn most and detect customer clusters with the highest churn rate. Run campaign to prevent churn and retain subscribers
- etc.
Looking for an interesting project with an inspired team to be on the same wave. Ready to learn new and improve my skills.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: upper


Greetings! 

I would like to start my introduction by pointing out my excellent mathematical skills, which were developed through mathematical school, which I ended with a 100% score of Ukrainian SAT and university, where in addition to math I studied probability theory and statistics on an advanced level. 

Due to getting my bachelor's degree at a relatively young age, I began my professional career at the age of 20, as a junior financial controller. Later on i became a middle specialist, created financial models, financial predictions. Also, I took part in the audit of financial statements, sale transactions of a company, loan deals. 

Currently I am working as a Data Analyst with Python in a one of the biggest companies in financial sector. The field of my expertise includes creating different models as well as visualisations and reports and automating daily processes with Python. 

As an ambitious person I always reach higher goals and take part in deferent Data Science certifications. So far I was certified with IBM and DataCamp Professional Certificates. 

In my spare time, I like solving puzzles, reading spy novels, and developing my languages knowledge.
Position: Data Scientist
Category: Data Analyst
Experience: 1 years | English: upper


Had worked for PwC as an Intern Data Analyst. Prepared data for junior/middle staff, visualized data in PowerBI, and made automatization for colleagues. 
Nowadays I work for the number 1 Fintech in Kazakhstan. I develop time-series forecasting for a number of clients who will not pay their debt. Also, my responsibilities include ad-hoc analysis, sometimes developing ML on my own. 
Took part in CV medical project. You can check it out scd_detect_bot in telegram. The team consisted of 3 people, I was engaged in image enhancement and labeling. The image enhancement includes that I converted the input photos to black and white and increasing the contrast for accurate detection and improved photo quality. The project is at the MVP stage.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: upper


Half a year I worked at a small company. I participate in several projects:
- One of the project theme was Computer vision. The main goal of the project was to Avoid a DeepFake. I I was working on task - gaze tracking, to track the eye movement. it was such a great experience!
- On the next project the purpose of my task was working with data and made data analysis.

One more interesting experience: 
I helped my teacher in university, do the documentation for subject where we studied Pandas and Machine learning algorithms. It was at the same time interesting and funny to have informal conversation with teacher :)

And I was a math tutor many years.
One expectation that I would have the opportunity to show myself as a good worker and gain new experience and knowledge every day. Have the opportunity to communicate with people who are passionate about the same thing as you. To be honest, i miss it, at the moment.
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper

Researched and read many methodical papers to implement modern solutions to problems. Skilled research engineer.
Microsoft Certified Engineer.
Half year of experience in Deep Learning, Machine Learning, worked in a startup company to create A.I solutions with Computer Vision.

Created automobile number plate detection and OCR solutions. Worked and researched image processing and data preprocessing to improve data quality. I used OCR and Transfer Learning to improve OCR results for desired problems. I have worked in the agile development team to adjust project timelines.

Knowledge of: Cloud Computing, Deep Learning, Machine Learning, and Transfer Learning
Understanding of MLOps and ML development Life Cycle
Knowledge of solidity code writing principles and Software Development Life Cycle principles

My latest focus was Computer Vision projects.
Strong level of soft skills - thanks to AIESEC : )
Upper-Intermediate IELTS Certified English Language User
Solution-oriented Researcher and Developer
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: upper


Hands-on experience in getting data insights, training ML models and deploying models to production (kubernetes), TensorRT model optimization.

Worked with regression, image classification, object detection, text classification tasks, speech recognition.
- valuable and challenging tasks
- passionate and open-minded team
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: fluent

Have some Kaggle success and medals
Happened to work with and experience various branches of DS & AI. It included:

- sales & pricing prediction and model development;
- NLP - text classification, sentiment analysis, similarity etc.;
- image processing and recognition.

All of this while using:
- heavy experience in statistics, AB testing, algorithm development - primarily with Python;
- data collection & processing, cleaning, feature engineering - especially for NLP and tabular data;
- SQL;
- NNs, transformers for various tasks;
- some experience in time series;
- data visualization, BI tools for presentation - passionate about the subject;
- AWS, Google Cloud, presenting results in web.

Right now I'm a Data Scientist. The very ideal position for me will be related to NLP as I intend to focus on it more than I'm now. But all the other braches of DS can be just as tempting, depending on the project.
Looking for something interesting. That's pretty much it, anything else is discussable;)
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: upper


Have a commercial experience as Data Analyst. Was working with MySQL, Alteryx and Excel. Have some expertise with Java Core, C++.

Accomplishments:
- Automatic Speech Recognition model (Tensorflow, ljspeech dataset)
- Image preprocessing for ML models (opencv)
- Image Classification model from scratch with AlexNet architecture (Tensorflow, CIFAR10 dataset)
- Text preprocessing for text models
- Polarity prediction model (sklearn)
- Topic modeling
- Intent classification (nltk, spacy)
Others:
- Data Analysis with Python, Alteryx, Excel, SQL
- Data Science and Data Visualization Tools (pandas, matplotlib, numpy, tensorflow, jupyter notebook)
- Java Core
- Andrew Ng's Coursera courses
- Studying different ML algorithms in detail
- Strong mathematical background.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: fluent

TestDaF Certificate (German level C1 - 5/4/4/4) 
Independent external evaluation certificate:
•	English - 191/200
•	Mathematics - 198/200
•	Physics - 200/200
Have an experience in Python, C#, SQL, enhanced knowledge in mathematics, English and German.
Looking for an opportunity to put knowledge into practice in the field of Data Science.
Position: Data Scientist
Category: Python
Experience: 4 years | English: fluent


Have been working as Senior Fraud Data Scientist for 1.5 years. Previously worked in Customer Retention/Acquisition and Personalization using ML algorithms and building Recommendation systems in Retail Bank. Currently, I am doing a research in Network Intrusion Detection/Prevention System using Machine Learning approaches.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: intermediate


Have commercial experience as a statistical programmer:  Raw data processing, statistical analysis of data, identifying patterns, testing statistical hypotheses. Have non-commercial experience with machine learning models development, the analysis and forecasting of cryptocurrency. Practical skills in designing database architecture, writing database queries, performing data analysis, parsing data from exchanges and websites.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: upper


Have developed a machine learning pipeline to classify disease based on MRI of patient.
Models were built with TensorFlow and Keras, trained and deployed  on Azure