lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: upper

Greco-Roman Wrestling:
   15 years experience. 10 years in the national team of 
   Ukraine. Champion of
 Ukraine; 3th place on Grand 
   Pix of Spain; Master Sport of Ukraine.
Extreme sport:
   Snowboarding, diving (deep diver), skydiving
Sport:
   I play amateur: volleyball, football, basketball, rugby, 
   small/big tennis.

Developing:
   I have been working as a data analyst for a German company for almost a year.  I am working on several third-party projects on target recognition and predicting their movement, there are also projects on kaggle that I took a long time at the first training.
For the company, he has already developed a couple of logical regression models that are successfully used in work, and was also able to automate some of the routine processes.
I have been working for a year as a data analyst in a CRO company. Set up and work with data collection and analysis tools such as Google Analytics, Google Tag Manager, Google Optimize. We also developed implemented scripts to optimize routine processes. Also developed trial models of forecasting and data distribution
I am open to all offers.  The only thing is that I don't want to work in an aggressive and greedy team where I can't grow as a specialist.
Position: Data Scientist
Category: Data Science
Experience: 2.5 years | English: intermediate

I work around the year in the IT company. Launched 3 projects from the start. Two projects for classification of documentation and one in time series.
I have been working for more than a year in the IT company in Lviv. PHd in mathematics.

Python, R, MySQL, Linux.
Pandas, Numpy, Scipy, Scikit-learn, NLTK, Matplotlib, XGB, Keras, Gensim
Interesting tasks.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: upper

- Made a Data Science project step by step from analysis to deployment for solving a customer churn problem. 
- Develop a program for processing the financial statements of the clients (before it was made manually).
I have been working for OTP Bank as Data Scientist. I used to work at PriviteBank where I developed models for customer churn reduction. In addition, I have three years of experience in financial analysis, so I have good domain knowledge of the financial industry. As a side project a made computer vision model for solving image classification tasks.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: upper

My team was able to predict the success of the auction by 82%. This result helps people, who create a tender, to view information about the tender at the initial stage, to supplement or specify the data and thus increase the chance of success.
I have been working for two years as an Automation QA Engineer. The basis of the project was scalable, open source government system for public e-procurement and I wrote unit, UI, API, integration, functional tests, using Python and Robot framework. 
Also on this project I have been doing machine learning for one year. My task was to train a model that could predict the number of participants who will take part in the auction, whether auction will be successful or not, and other tasks. I used scikit-learn, pandas, numpy, scipy, matplotlib, NLP (BOW).
I don't want to be the only one who will be responsible for the DS on the project
Position: Data Scientist
Category: Data Analyst
Experience: 9 years | English: upper


I have been working in banking sphere for about 9 years. Nowadays I am an operating analyst in the Bank.
Position: Data Scientist
Category: Data Science
Experience: 11 years | English: fluent

1) Developed new business stream in a company I have been working for
2) In cooperation with an external IT company, developed and marketed an IT product.
I have been working in the financial sector and business consulting. Recently I underwent an extensive learning program to develop the skillset of a data scientist: Probability, Statistics, Linear Algebra, Python and ML algorithms.

Pls refer to my CV for more detail on my background and skills.
I'm interested in data science projects related to financial sector or financial function.
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: intermediate


I have been working in this field for more than 1 year. I worked as a data scientist in a cargo company. During this time, I learned Deep Learning by working on myself. I have knowledge about time series, NLP models. In the company where I worked, it was necessary to analyze the customers and prepare suitable companies for them.
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: upper


I have been working on various computer vision projects as a machine learning engineer. We can discuss all details if needed.
Position: Data Scientist
Category: Python
Experience: 4 years | English: fluent


I have build a credit risk model for a fintech company, an early warning system for a local bank, segmentation models, analytic reports, data pipelines and scheduled them using airflow.

Technologies used: Python, streamlit, PL/SQL, R, airflow.

Role: Data scientist.

What to improve: Presentation
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: upper


I have created and put into practice data-driven methods in my present position as a data analyst intern at IRIMAS lab that have significantly improve time series analysis. My proficiency in data administration, analysis, and visualization has been crucial in enabling effective decision-making processes, both inside our company. Also, I have shown that I can collaborate well with people from other fields, convey complicated data insights to non-technical audiences, and provide original solutions to challenging issues.
I have the ability to swiftly and correctly extract, handle, and analyze huge datasets thanks to my expertise with python with pandas, numpy, sklearn and etc. libraries, SQL, Microsoft Office tools, Tableau, Power BI and etc., and I am sure that I can quickly learn to any new technologies and tools necessary for the position. Also, I've been able to deliver accurate reports and insights on schedule and under budget because to my good organizational abilities and attention to detail.
Position: Data Scientist
Category: SQL
Experience: 0.5 years | English: intermediate

Graduate of the QA Engineer course from Techmission
15 years of experience as an accountant
* I have patience for routine tasks
* I like interesting and challenging tasks and solutions to them.
* I love to study
* Curious
* Customer oriented
* Skill to work in team
+ I have created websites on the Weblium platform and WordPress
+ Work in the program 1-C
+ Canva
+ Bitrix 24
+ Camtasia studio
+ Creation and support of business pages in Google and FB
+ Excel
+ SQLite
+ Jira
I'm interested in working with numbers with a SQL database
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper


I have deep knowledge of mathematics and statistics both in theory and in practice. I know different machine learning algorithms at a sufficient level. Took part in Kaggle competitions using standard libraries: scikit-learn, pandas, numpy, seaborn. I am studying in the 3rd year of applied mathematics in the Data Science program at KPI in applied mathematics, so I have a specific understanding of the tools. I am currently studying Deep Learning Algorithms and I am strongly interested in CV. In addition, I have a DataCamp certificate for completed courses.
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: fluent


I have developed machine learning models and deployed. I have used Anaconda packages in creating the models and analyzing data in Jupyter Notebook and Google Colab. 
I have also used VS Code in Python programming.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: upper


I have done meme classification in order to detect hateful memes based on NLP and Computer vision simultaneously. During my work experience I have done image processing with OpenCV; did research in cloud services(mainly AWS), used Sagemaker Studio and other AWS services; made text classification model with transformer, trained Autoencoder for anomaly detection. I want to be part of a professional team where I can constantly improve my skills.
Position: Data Scientist
Category: Data Science
Experience: 11 years | English: fluent

- Data science and visualization using R certification (UN data science team)
-IBM Data Science Professional Certificate (coursera)
I have done NLP based project as a Data Engineer expert and strategist. Some of the major tasks are data collection  using web scrapping ,data wrangling ,explanatory data analysis by visualizations  and Database data manipulations. Some of the technologies used in the project are python with different libraries like panda ,numpy, scikit learn, and database using mysql. Currently i am working as a data scientist expert in the project.
web development
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: upper


I have done some projects like RFM analysis, churn prediction, clustering using Python and Jupyter notebook. 
One of my tasks was to analyse how partners use our application and for that I have use C# for writing API's, created a dashboard via Power Bi and Tableau. And from time to time I get some reports via SQL.
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: fluent


I have done the model for predicting customer data, reporting in BI systems. Experience with Python, Spark, Azure, Pandas, NumPy. Working with C, C++, C#
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: upper

I have written coursework on the topic of ARIMA forecasting for stock prices. My bachelor's thesis is about different poolings in CNNs. Also, I have a small analytical project in the area of Biological Data (RNA samples comparison) which I made at Tampere University (Finland) (you can find it on my LinkedIn profile). I really appreciate applying a lot of theoretical knowledge from my university studies in even unexpected way!
I have experience as a Machine Learning Engineer. I have developed existing solution by adding saving between parts during training and by adding parallelism. Experimented with gradient boosting methods and transformers for tabular data to increase accuracy of predictions.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper

I have made a Tetris game using hand gestures as a controller. For doing this I needed following:
 Collected a dataset(+-200 pictures) from a webcam.
 Labelled data using LabelImg.
 Used the Darknet framework to work with YOLO v3/v4.
 Trained model, using Google Colab`s GPUs.
 Interpreted YOLO predictions as I needed by using Intersection over Union and Non-Max Suppression.
 Implemented model`s predictions as a game controller.
I have experience implementing machine learning algorithms such as: Linear/Logistic Regression, SVM, clustering, PCA, NN.

I consider myself to be experienced in PyTorch, Autograd. I followed the whole official walkthrough, trained a lot of CNN, R-CNN, Autoencoder models. I fully understand the ResNet, U-NET, YOLO, SSD models architectures.
I would like to work as a Data Scientist, ML/DL Engineer and grow up as a specialist.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: fluent


I have experience in banking industry. Have worked in two Kazakhstani banks in Almaty, Kazakhstan. 
When I worked as a Data Miner, I collected Debt collection report of individuals with delays by debt section. Track: SAS, Python, Excel. I also contributed in testing of Loan portfolio client database in SAS. And participated in Vehicle debt dataset analysis in relation with KOLESA dataset, using SAS and Python for analysis and parsing. Finally, summed up insights in Excel. 
As a project manager and technical development manager, I  leaded integrations with Head office(Chinese) and Local Government systems (preparation, testing, release) . Projects held: ISO20022, Salt Inspect, Integrated Database. Also have Controlled Digital Banking/Enterprise Information Systems internal regulation documents
During an internship, I made dashboards using Microsoft PowerBI which showed overall employee performance.
Right now, I'm finishing master's degree in Data Science, where I enhanced my skills in Machine Learning and Deep Learning. Looking for a good opportunity to fulfill my knowledge set in the usage of ML and DL techniques.
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: intermediate


I have experience in:
- Building machine learning models for solving classification, clustering, regression problems;
- Collecting, processing, cleaning data for modelling;
- Data visualization;
- Building dashboards;
- Executing analytics and research;
- Outliers detection;
- Designing SQL-scripts

Have a master's degree in quantitative field.
I'm interested in professional development and challenging tasks
Position: Data Scientist
Category: Python
Experience: 0.5 years | English: upper

Had won a lot of competitions (olympiads) in math, chemistry, physics among Kiev region (high school years).
I have experience in C/C++ (about a year) and Python (numpy, pandas, matplotlib, sklearn).
Also have worked as an intern in Blockchain Hub Kyiv - I was writing cryptocurrency, wallet, explorer (using python, flask).
Have been writing a lot of projects in math at university with python, also pet-projects in deep learning.
Have experience with Python Django (+ html, css, PostgreSql).
Now i'm looking for a remote job
Position: Data Scientist
Category: Python
Experience: 5 years | English: upper

Work with a wide range technologies and their implementation in client's business.
I have experience in developing several AI startups from scratch to production.
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: upper

I've worked at every stage of DS developmet pipeline: from data collection (statement of requirements, development of domain specific markup tool) to model development and deployment.
I've also won some money prizes in several kaggle-in-class hackathons.
I have experience in development of recommender systems. I've also worked with NLP tasks such as: text classification, extractive and abstractive text summarization and named-entity recognition. 
Furthermore, I am keen on different kaggle/kaggle-in-class hackathons, so I have successful experience in solving some credit scoring, recommender systems, text classification and some other problems.
My key hard skills:
>Python DS stack: jupyter, pandas, numpy, scikit-learn, bs4, spacy, nltk, gensim
>Deep Learning frameworks: pytorch, chainer, keras, tensorflow
>Boosting: xgboost, lightgbm, catboost
>Databases: PostgreSQL, MongoDB, CouchDB, Redis
>BE stack: Flask, Docker
>Strong math background: probability theory, statistics, regression analysis, functional analysis, optimization.
I would like to work in a small open-minded team on an interesting R&D project with new technologies.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: fluent


I have experience in doing research, conducting an experiment, literature reviews, data analysis and data processing. I know the fundamentals of programming languages such as Python, Java, and SQL.

Even though my work experience is unrelated to data analytics, I made presentations and worked with data. Additionally, I have skills such as MS Excel, Power BI, libraries of Python (numpy, pandas, matplotlib), and SQL.
I want to work with SQL, Power BI, and Python to gain more skills as a data analyst. Making data modifications and visualizations is what I am expecting to do.
Position: Data Scientist
Category: Data Science
Experience: 7 years | English: pre


I have experience in scientific projects, artificial intelligence, machine learning projects. My scientific works and practical tasks in forecasting for the complex earthquake process have been published.
See the scientific works:
 1. Earthquake Forecast as a Machine Learning Problem for Imbalanced Datasets: Example of Georgia, Caucasus

2. Automatic Telemetric Monitoring/Early Warning Systems, with Multi-task Sensor, Applied to Mass Movements

3. Statistical and nonlinear dynamics methods of earthquake forecast: Application in the Caucasus

4. Calculation of Lebesgue integrals by using uniformly distributed sequences

5. Calculation of Lebesgue integrals by using uniformly distributed sequences

6. ON OBJECTIVE AND STRONG OBJECTIVE CONSISTENT ESTIMATES OF UNKNOWN PARAMETERS FOR STATISTICAL STRUCTURES IN A POLISH GROUP ADMITTING AN INVARIANT METRIC
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: intermediate

While participating at Kaggle competitions, l have become Notebooks Expert, after recieving several medals for my notebooks with code, used in competitions.
I have experience in some competitions on Kaggle platform. Experienced in writing DS/ML related code in Python, which i initially write, while participating in this competitions(mostly, for building models were used units from scikit-learn library and Tensorflow(Keras)).
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: intermediate


I have experience in web development, statistical data analysis, and big data, as well as building models for time series and recommendation systems. I specialize in building complex models for classification, regression, and other tasks in the field of data science. My expertise also includes building full-fledged BI systems from scratch and optimizing SQL queries. Additionally, I have experience in developing on Salesforce and Salesforce CRM. I am always interested in new data science projects and willing to help with any query you may have.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: fluent


I have experience in working with real data and projects. ML, statistical, and visualization knowledge in SPSS Modeler, deep knowledge and coding skills in Python, R, Oracle SQL, and Tableau. Basic Deep Learning knowledge and knowledge of several libraries such as Numpy, Pandas, Matplotlib, Seaborn, Pytorch and etc. Completing Hyperparameter Tuning on ML models for predictive analysis. I also have knowledge and skills in Time Series Analysis.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: fluent

Took part in different math competitions
Have a scientific work about mathematic models in biology
I have experience with Bayes networks, probabilities and data analyzing, data auto parsing, Tableau reports creation 

In the future I would like to take part in developing of different machine learning problems, BI or data analyzing projects
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: upper


I have experience with building and supporting forecasting models on Python, CPG domain. The stack (main) is:
- Pandas
- Numpy
- Sklearn
- Statsmodel
- EDA
My production experience is time series forecasting using statistical machine learning models.
Things I would like to have:
 - Space to growth
 - Clear project organization
Things I don't like:
 - Legacy support
 - Unclear promotion process
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: upper


I have experience with various machine learning tasks, mostly working with tabular data, but also have experience with NLP tasks ranging from data collection using scraping techniques to model usage. It is the NLP and CV developments that interest me the most.
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: fluent


I have experience working as a senior data scientist and a product lead. In my current role as a product lead for RataFX, I have been able to lead and manage the team from the ideation to the MVP stage. At SpendJuice, I worked as a lead data scientist where I built an end-to-end machine learning model, automation of payouts, dashboard to monitor business performance, and worked on improved data governance within the company. As a senior data engineer and analytics at Bored Panda, I designed and developed a master database, built data pipelines, performed machine learning modeling, and analyzed the company's content performance. As a senior data scientist at Autochek Africa, I utilized Python to implement a supervised machine learning technique for car pricing models, built the recommendation system powering email marketing, designed and built the data pipeline architecture, performed A/B testing, and developed a dashboard to monitor and track internal operations.

I have experience using various technologies, including Python, R, SQL, Spark, ELK stack, Docker, AWS, GCP.
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: upper

PhD
Kaggle Grandmaster
I have expertise in pentesting and InfoSec. Several years ago I decided to make a career move into Data science. I intensively used R with data.table and Tidyverse packages. Today I mostly rely on Python Data science stack including Flask (for deploying ML models as a REST API). I am proficient in SQL and MongoDB. I prefer to work with tabular data, though I have broad experience in NLP. I hold a PhD in Engineering and have research experience.

Some projects:
• Automated analysis of incoming documents (NLP): Python,  MongoDB, Docker, Flask, Pandas, SpaCy, DeBERTa.
• Analysis of series of educational events: Python, Flask, Docker, pandas, ARIMA, XGBoost.
• REST API design for gradient boosting ML model: Python, Flask, Docker, pandas, LightGBM.
I love math, programming, and data science. I have academic experience and I am interested in a research position, but I wouldn't like to perform a role of a manager.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: fluent

Thus far, I have achieved several significant milestones, including:
-Winning an $8,000 scholarship for the MIT Data Engineering Professional Certificate Program, which I successfully completed.
-Earning a scholarship to study Artificial Intelligence at Kyoto University for a duration of two years, though I was only able to study half a year because of the restriction to cross the border.
-Participating in exchange programs at Akita and Shibaura Universities in Japan, where I focused on studying Machine Learning and Signal Processing.
-Securing a second-place position at the SPF 2023 ML Hackathon.
I have extensive experience working on ML projects both at university and in various hackathons and competitions I have participated in. Most of my projects have been in the healthcare domain, as I aspire to pursue a career in this field, focusing on areas such as predicting heart attacks, diabetes, and creating optimization models for personalized treatment. I have also worked on projects related to the military domain, specifically detecting soldiers from video footage captured by drones using YOLOv8, as well as projects in the economic domain involving the analysis of US economy data. I have also experimented building my own CNN network an OCR system for detecting handwritten characters.
I am open to any offers.
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper


I have finished a Machine Learning course at IT-HILLEL. 

Now diving into Deep Learning, especially Hugging Face, PyTorch, OpenAI API

Have experience in creating a pet project for predicting eSports matches, which gives up to 65% accuracy.

Developed an app to help students prepare for their exams using OpenAI API

I also had experience in a distribution company - my task was to organize the names of products in the database.
Would like to be part of the Data Scientist team, where I can gain experience and knowledge