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

-  Successfully complete - Smart academy: Data science in Smart Business. 
- Microsoft Certified Professional (Querying Data with Transact-SQL, Designing and Implementing Big Data Analytics Solutions)
- 2nd place in int20 hackaton (Data science group)
- Speech on Dynamics Day 18, Smart Talks and other.
- Mentor on the Data science academy.
- VK-bot: https://github.com/avtokit2700/resume/tree/master/bot-vk
- 1.5 Years in Python Development.
- High Python skill
- R
- Neural Netrwork (Keras, Tenzorflow)
- NLP (Chat-bots, Natural language understanding) 
- Computer vision (Face recognition, object detection, OCR)
- ML alghoritm (Classification, Regression, Clustering)
- Predictive marketing
- Time series
- Big Data
- Business understanding 
- Advanced SQL (Transact-SQL)
- Statistical analysis
- Explore data analysis, feature engineering
- Visualisation(Power BI, matplotlib)
- Agile-development
- Linux/Ubuntu
- Git
- Working with libs: numpy, pandas, sklearn, matplotlib, keras.
Most of all I search difficult and different task, not only fraud detection or forecast. I'm open to widespread challenge.
Position: Data scientist
Category: Data Science
Experience: 2.5 years | English: fluent


I have worked with projects in adtech, marketing, and healthcare domains and have solid expertise with classical ML models, solving classification, data mining, and clustering tasks. 

I also have experience developing Deep Learning models for Computer Vision and audio signal processing.

I implemented end-to-end ML solutions, starting from research and data collection to model deployment and monitoring post-deployment model performance.
I'm looking for the company with  English-speaking environment and strong  Data Science team
Position: Data scientist
Category: SQL
Experience: 10 years | English: fluent

I've developed an ERP software and is currently functional and running on one of the biggest multi-faceted company in the city.
I've worked as a senior software developer on an ERP project for 13 years. I use to work as a full stack developer using MSSQL for database, C# and VB.net for front-end. Good skills on Relational database management, Stored procedures, TSQL scripting and other database related skills. Working on to advance career as a data scientist.
I look forward to work with a team of good developers, hoping to learn and share different experiences and contribute to make difference in people's life.
Position: Data scientist
Category: SQL
Experience: 0.5 years | English: fluent

I worked for 5 months at Fokker Services BV (dutch aviation company) in testing, fixing and implementing a model developed for the purpose of predicting obsolescence of parts. The model was used in an application which I completed development on so that employees could use it.

For one month I worked at a startup "Spaceship Ventures" in Rotterdam, The Netherlands. The aim of my work was to automate the existing process for generating leads. Due to layoffs I did not get the chance to complete this work, but was able to learn HTML and PHP while I was there. 

I was a teaching assistant for the programming courses at Erasmus University during my study, as well as a mathematics tutor at the RISS and ASH schools.

Supervisor names in the resume.
Java, MySQL, Python, Matlab
Prefer a Data Scientist or Data Analyst position. Not a Business Analyst, as that is very different.
Position: Data scientist
Category: Data Science
Experience: 7 years | English: fluent

Recruit the team of 8 Data Scientists with zero churn
Build python and analytic teams and lead them in absence of team leaders
Released 10+ models and algorithms - sometimes with close to zero data and no product input
Lead Data Scientist
Position: Data scientist
Category: Data Science
Experience: 2 years | English: upper


Linux, Python, keras, neural networks, machine learning, tensorflow, business analysis, gradient boosting
Position: Data scientist
Category: Data Science
Experience: 9 years | English: fluent


Looking to grow my career by applying skills to the AI Product Manager, Senior Data Scientist position 
Experienced (9+ years) with data, AI solutions, and product management expert: 
• Managing innovative AI projects from scratch to completion 
• Collection, cleaning, and analysis of large datasets 
• Development and implementation of Machine Learning models 
• Managing cross-functional teams
Position: Data scientist
Category: Python
Experience: 2.5 years | English: intermediate


Machine Learning: NLP/Image Processing. Implement existing state of the art machine learning networks and apply them to required fields.
Know a lot Python tools required for Machine Learning/Data Analysis: tensorflow, numpy, scipy, matplotlib, pandas, cython, etc.
Work with new interesting machine learning architectures. Solve hard tasks with the help of ML.
Not interesting in tasks without clear definition/accuracy/error score.
Also, I do not intend to work in web development - I am interested only in jobs related to machine learning.
Position: Data scientist
Category: Python
Experience: 1 years | English: fluent

Image recognition & data fusion project (core-functionality: net training, magic with images :D)
Machine Learning: scikit-learn, tensorflow, lasagne, caffe deep learning, classification, regression 
NLP: sentiment analysis, bag-of-words, ngrams, stemming, word2vec
Image Classification  - opencv, sift/surf, embeddings, CNNs
Data cleaning and munging: pandas, numpy , 
Data sources: APIs, JSON/XML, SQL, HTML, CSV 
Probability & statistics 
Data vizualization: matplotlib
Other: Git, Jupyter
Interesting and challenging tasks, positive emotional reinforcement
Position: Data scientist
Category: Other
Experience: 1 years | English: fluent

Participant of SEERC, have knowledge of advanced algorithms and data structures
Machine learning tools: scikit-learn, nltk
Programming Languages: C#, Python, C++
Position: Data scientist
Category: Data Science
Experience: 0 years | English: fluent

- Successfully managed multi-location projects in multicultural environment.
- Successful implementation of the corporate reporting packages including: defining the management accounting metrics, designing the corporate reporting package in excel, helping in developing ETL procedures
- Took part in four software development projects from the client side
- Identified dysfunctional KPIs 
- Identified anomalies and fraud-risky activities while analyzing extracts from Oracle.
- Master degree in Finance (However hefty part of our curriculum was devoted to Math Analysis, Linear Algebra, Probabilities/MathStat, Statistics and Econometrics.)

- Python (np/pd/plt/skl), SQL, AzureML,Excel 

- Understanding of CRISP-DM.

- Considerable experience in auditing and fin.controlling: fin.modelling, statistical sampling tests, data analysis, business process analysis.

- Excellent communication skills: interviews, negotiations, presentations, documentation, reporting.
Looking for practical tasks to get focus for further development in the field of data science.
Position: Data scientist
Category: Data Science
Experience: 4 years | English: intermediate

Successful launch of the projects in Ukraine.
Master's degree in mathematical economics and econometrics, Phd in mathematics.
3 year of overall experience in the area of statistical modelling and machine learning.
Deep knowledge of SQL, R, Maple, MatLab, Python.
Experience in: R&D.
A solid grounding in applied statistics: Reliability models, Markov Models, Stochastic models, Bayesian modeling, classification models, cluster analysis, neural network, non-parametric methods, time series analysis, forecasting and multivariate statistics, synthetic testing, A\B testing.
Professional growth.  Adequate management. Complex tasks. The ability to work remotely. Friendly staff.

Good coffee)
Position: Data scientist
Category: Business Analyst
Experience: 1 years | English: intermediate

PhD in Space Weather forecasting: an empirical model for predctioning solar spetral irradiance. Relatively simple and effective model with accuracy ~85%, prediction horizon  ~  1 month.
Matlab, R, C++
Supervised learning: GAM, LDA, LogReg, decision trees.
Unsupervised learning: clustering, PCA.

PhD: Empirical modelling of the solar spectral irradiance, University of Orleans, France.

Experience:
2 years of iOS development: worked on developing map SDK library, and other libraries for several "client-server" services.

4 years of scientific research under PhD grant in CNES (French space agency).
Developed an empirical model for prediction of the solar spectral irradiance.

 Analytical support and research on the social casino games:
- Prediction of user recession. 
- Exploring different groups of users.
- Developing a model for automatic control
of the Key Performance Indicators.
Im looking for an iteresting position in IT that would allow me to apply and improve my research and development skills.
Position: Data scientist
Category: Data Science
Experience: 6 years | English: upper


More than 6 years in Data Science and Analytics.
For the last two years, I have been working in a remote company. My work is divided into two parts:
1) Project manager
- Management of Data science and BI projects;
- Finding new projects and clients;
- Documentation and organization of internal processes;
- Hiring and interviewing new employees.
2) Data Scientist / BI Developer
- Creating ML models in Python (credit scoring, clients clusterization, demand forecast, sports event and stocks price prediction)
- Creating analysis and dashboards in Tableau (financial budget analysis, analysis and visualization of the questionnaire)
- Creating in Google Data Studio (collection data from different data sources through API in one report)

Previously I worked as an analyst in the energy sector. I was responsible for creating a forecast and reports.
I have a background in three similar spheres: analytics, management, and data scientists.  Right now, I’m inspired by data science. And analytical projects also interested in me.
I'm keen on communication with stakeholders and understanding the goals of the business. Feel free to contact me about your project. Maybe I’m the person what you are looking for.
Position: Data scientist
Category: Other
Experience: 11 years | English: upper

Highly motivated, detail oriented, resourceful certified CRM expert with 5 years of experience in creating and implementing eBusiness solutions utilizing Oracle Products in banking and 11+ years of experience in full cycle software development, managing and analyzing in wide range of organizations.
High technical skills, with expertise in Oracle, MS SQL Server, and other databases.
Goal-oriented team leader adept at building strong relationships with coworkers and clients.
MySQL, JavaScript, AngularJS, CSS, HTML, Siebel, AJAX, ExtJS, XSLT, MS SQL Server, PL/SQL, Joomla, IVR Scripts
Профессиональный рост. Адекватный менеджмент.
Position: Data scientist
Category: Java
Experience: 5 years | English: intermediate


MySQL, JavaScript, CSS, HTML, Java, JSP, Servlets, Spring, Spring MVC, Angular.js, SQL, XML
I'm looking for a project in which it would be possible to apply the skills of programming and mathematics.
Position: Data scientist
Category: Data Science
Experience: 0.5 years | English: fluent

Education in applied mathematics and computer science focused on artificial intelligence.
Some experience in project management, R&D and data science in international and multinational companies.

MOOC
DataCamp: Intermediate Python for Data Science, Python Data Science Toolbox, Importing Data in Python
Udacity: Classification Models, Data Visualization with Tableau
MySQL, Microsoft Excel, Alteryx Designer, Tableau
Java, SQL, XML, VBA, Python,
Classification algorithms,
Data visualization,
machine learning,
deep learning
Currently I am looking for a job in which I can continue my data science learning/growth in a professional environment in a Data science team.
Position: Data scientist
Category: Data Science
Experience: 0 years | English: intermediate


Pandas,NumPy,SciPy,Matplotlib
SQL,SQLalchemy,SQLite
JavaScript,css,html
Learn a new profession in a friendly team, money is not the main goal, the main goal to raise the level of their knowledge to the next level
Position: Data scientist
Category: Data Science
Experience: 1.5 years | English: upper


Pogramming Laguages:
 - Python  (pandas, scikit-learn, numpy, matplotlib),
 - R (basic level).

Data Science and Machine Learning experience:
 - classificaion, clusterig and regression models implementation;
 - developmet of fool life cycle data science projects;
 - analytical tools development.
 - data visualization.
Interesting and end-to-end projects, prospect of growth and development, professional team.
Position: Data scientist
Category: Data Science
Experience: 1.5 years | English: fluent

- speak 5 languages (English, Polish, Chinese, Ukrainian, Russian);
- worked/studied in China, Germany, Poland, Ukraine;
- Ph.D. in Business Administration; Master in International Economic Relation; Master in Finance; Bachelor in Finance;
- postdoctoral researcher in Chengdu, China;
- writing academic papers;
- employing quantitative research methods (econometric regression, descriptive and inferential statistics, social network analysis);
- using R (dplyr, tidyverse, ggplot, igraph);
- finished 5 research projects (tourism demand modeling, political instability, bilateral cooperation, Belt and Road Initiative, global tourism network)
Looking for:
- remote/part-time job since currently located and work in China;
- industry-related Data-Science experience;
Position: Data scientist
Category: Data Science
Experience: 4 years | English: intermediate


Programming languages: SQL, PL/SQL, R (caret), Python (matplotlib, numpy, pandas, scipy, scikit-learn, gensim, keras);
Microsoft Azure, Power BI (basic elementary skills);
Experience with working different Machine Learning algorithms( regression, time series, classification, clustering, neural networks), computer vision.
Position: Data scientist
Category: Data Science
Experience: 1 years | English: upper

Top 10 percentile in Kaggle competition(https://www.kaggle.com/c/bike-sharing-demand)
- Python 3, numpy, scipy, matplotlib, scikit-learn.
- Databases: PostgreSQL, MS SQL MySQL, MongoDB.
- Web: Flask, JSON, JavaScript.
Position: Data scientist
Category: Data Science
Experience: 7 years | English: intermediate

Finished Yandex-MIPT-HSE Data Science specialization. (Coursera)
Finished Vorontsov's "Introduction to Machine Learning" course. (Coursera)
Have two little publications.
Python DS\ML stack (pandas-scipy-sklearn)
Python development experience about 5 years.
Linux and Git user.
English: upper-intermediate.
Some leadership experience.
R&D
Position: Data scientist
Category: Data Science
Experience: 1.5 years | English: fluent

Kaggle Santander Customer Satisfaction - Top 6% result
Kaggle Avito Duplicate Ads Detection - Top 15% result
Python (numpy, scipy, pandas, matplotlib, scikit-learn, xgboost)
Basic knowledge of C++, R, Octave/Matlab, Stata.
Ability to construct and train artificial neural networks using Caffe or Tensorflow.

Solid knowledge of Statistical methods and Machine Learning techniques (classification, regression, clustering, instance-based learning,  time series, dimensionality reduction, ensembles)
Data Science / Machine Learning.
I would be especially interested in job related to Deep Learning or Computer Vision.
Position: Data scientist
Category: Data Science
Experience: 2 years | English: intermediate

Master's Degree in Actuaril and financial mathemtics. 
Master's paper: "Using Tobit model for data with many zero values"
Python, R, Machine Learning, SQL, Git, Microsoft Office
I'm looking for a position in Data Science. I'm ready to work 24/7 to become a specialist in this sphere and become a useful team player as fast as it possible.
Position: Data scientist
Category: Python
Experience: 4 years | English: fluent

Leading the Machine Learning stream in EY Financial Risk department
Applied Data Science Center, 01.2018 - 04.2018 - offline courses on Advanced Machine Learning techniques
Hadoop and MapReduce, 2017 - Udacity
Machine Learning, 2016 - Udacity
Python, R, Quantitative analytics, Credit scoring, model validation, Java
08.2014 - current time: Quantitative analyst/developer in EY, Quantitative team. Main responsibilities: developing models in Python/R for credit scoring, risk modelling. Model validation, testing and metrics evaluation. Since 2017 responsible for developing new Machine Learning models for banks' solutions.
Position: Data scientist
Category: Data Science
Experience: 2 years | English: fluent

Precise KPI prediction model development, implicit feedback recommendation engine build from scratch on top of Apache Spark, various prediction modelling experience.
Python,  Sciki-learn,  Pandas, Seaborn,  R,  Statsmodels, data science,  machine learning, nlp
Position: Data scientist
Category: Data Science
Experience: 0.5 years | English: fluent

Big Data Lab hackathon
Loan default prediction model with very high accuracy (ROC_AUC) - 95% on training set, 86% on test set
Python,scikit-learn,numpy,pandas,jupyter,SQL,machine learning,data science,regression,predictive models,decision tree,random forest,gradient boosting (XGboost),clustering,feature engineering,unsupervised learning,supervised learning,experimental design,AWS
Pet projects: churn rate prediction model for Vodafone (hackathon); loan default prediction scorecard for an NDA company with prediction accuracy 86% on test data
Courses: Kaggle Python tutorial on Machine learning – DataCamp; Induction to Python & Machine Learning - DataCamp; Programming for everybody (Getting started with Python) - Coursera; 	Python Data Structures – Coursera; 	Using Python to access Web data - Coursera
Get the first office experience in machine learning,  convert the knowledge and capabilities built in market research into the corresponding knowledge and skills in data science
Position: Data scientist
Category: Python
Experience: 3 years | English: fluent

• Machine learning algorithms: Logistic Regression, XGBoost, Neural Nets, SVM etc.
• Regression and correlation analysis, parametric and non-parametric hypothesis tests (t-test, ANOVA, Tukey, Chi-square, Kruskal-Wallis, Wilcoxon tests etc).
• R, Python, SQL, HiveQL, PySpark, Cypher.
• Relational databases, MongoDB, neo4j, Spark, Hive.
• Cleaning, munging, combining, normalizing, reshaping, slicing and transforming data for analysis.
• Experience in controlling, marketing, logistics and sales departments / brick-and-mortar re-tailer and internet project.
• Communication with different users: from assistants to board of directors.
R,  Python,  SQL,  NoSql, hive, spark, statistics,  probability, machine learning, data preparation
big data technologies
Position: Data scientist
Category: Data Science
Experience: 3 years | English: intermediate

Classification tasks for a large number of classes. Preprocessing data to obtain a given level of model quality.
scikit-learn
nltk
pandas
numpy
pymorphy
Data Science.  Machine learning, language processing (NLP).
Position: Data scientist
Category: Other
Experience: 2 years | English: fluent


Skills/experience: 
Machine learning algorithm: Linear Regression, Decision Tree, KNN, K-Means, Random Forest, artificial neural networks for forecasting, classification, regression, clustering problem solving, Data Mining techniques.
Software and Programming Languages: R, Python, t-SQL (moderate experience (1+ year)), Microsoft Office, LaTeX, Matlab
Bug tracking tools: Jira
Position: Data scientist
Category: Data Science
Experience: 4 years | English: upper

Worked on several companies from S&P500
Skills:
Python, Java
AWS, GCP
Experience:
3,5 year – Data Scientist
2,5 years - Android(Java) developer
Looking for new challenges in data science/machine learning areas.
Position: Data scientist
Category: Data Science
Experience: 4 years | English: fluent

- Have a Master's degree from a U.S. university in Statistics and Operations Research
- Best teamwork award from Association for Computer Machinery student coding competition
- Software: SQL, R, MATLAB. 
- Exposure to: C++, C#, PHP, GitHub, Python
- Completed data analytics projects as a consultant for 4 years
- Taught mathematics at university level for 5 years
- Tutored mathematics and intro computer science courses for 7 years
Position: Data scientist
Category: Data Science
Experience: 1 years | English: intermediate


Work Experience:

11.12.2107 – present: company Spekl
Position: specialist in working with databases

01.02.2017 – 10.12.2017 Telecommunication +
Position: PHP - developer

01.02.2016 – 01.08.2016 factory Elwiz, Poland.
Position: fitter.

Languages : Python(Numpy, Pandas, Scikit-learn, Scipy, Matplotlib,), SQL, PHP(OOP); 

Databases : MySQL; 

Development Software : Git; 

Application:  Jupyter notebook, Keras, TensorFlow; 

Platforms : Windows, UNIX/Linux ; 

Other programs : MS Excel, AutoCad, MathCad.
I expect that the work will be interesting and exciting. The team will be friendly, in good atmosphere more productivity and just nice to work. I also expect to receive good experience like data science engineer.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: intermediate


08/2021 - 07/2022
 DENTSU UKRAINE
Kyiv
Junior data analyst
1) Created a system for automatic reporting. Used
python and LATEX to create a program for
creating PDF reports from SQL data and
created a Telegram bot to send alerts.
2) Used python, pandas, sklearn and xgboost to
write program for forecast sales depending on
the TV-ratings data of medical drugs
3) Participated in the development and usage of
NLP model for sentiment classification of text
4) Front- and back-end development for team’s
company’s website
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: upper


[ 09/2019 – 06/2023 ]

Bachelor's in Applied Mathematics
Igor Sikorsky Kyiv Polytechnic Institute, IPT faculty

Field(s) of study: Mathematical methods of modeling, pattern recognition and computervision
Participated in several university projects, including developing a machine learning model
for data classification and clustering; computer vision system for object detection.

Skills obtained:

1. Data science:
    Confidence intervals and estimation for deviation, mean and distribution.
Probability estimation. Least squares method
    Kolmogorov-Smirnov, chi-squared, asymptotic theory for statistical
hypothesistest

2. Machine Learning:
   Data preprocessing, exploratory data analysis, data splitting, plotting
   Linear regression, XGboost (XGBRegressor)
   KNN classifier, MLP classifier, Random Forest classifier, C-Support vector
classification
   K-Means clustering

3. Computer vision:
    Spatial and frequency methods of image processing
    Color, morphological image processing
     Image segmentation
     Pattern recognition of numbers using tensorflow keras

4. SQL:  
    SQL db creation, insertion, Database normalization (Normal Forms)
    Advanced SQL (regular expressions, JOINS, UNION, Subqueries, WITH
expressions)
    SQL triggers, procedures, encryption

5. Relevant university programs:
    Probability Theory
    Mathematical Statistics
    Computational Complexity Theory

Introduction to Data Science in Python
Coursera

Mastered:
1. NumPy

2. python 're', 'lxml', 'bs4' libraries for text parsing

3. Pandas(df and series manipulations, merge, groupby, apply, etc.)

4. Data preparation skills