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

Developing of the arbitrage trading bot, integration with
different stocks;
I have practical expierence with data mining, preprocessing.
Finished yandex ds course.

Python(1.5 year of commercial experience): pandas, numpy ,scikit-learn, matplotlib, seaborn, requests, gspread, nltk;


Statistics and probability theory.
SQL bigquery, Git
Ubuntu, Excel
ML(Regression, Decision trees, Random forest, kNN, SVM, k-means, PCA, t-SNE, SVD)

I'd like to work with data: analysis, building models. I have no commercial experience with ML but would like to obtain one.
Complicated and insteresting tasks, professional growth, commercial experience with ML and DS.
Position: Data scientist
Category: Data Science
Experience: 2 years | English: upper

Master in Applied Mathematics.

Was working with complex and complicated SQL queries, which saved me a lot of time preparing analytics; with large datasets.

Easy to fit in a team.

Also, I can speak French.
2 year of commercial experience. Data analyst and BI dev positions.
- Involved in the BI tool implementation process as a BI developer. 
- Analyzing and modelling data from different sources.
- Dashboards development: design, data preparing, transforming, implementation. 
- Data health management, data quality validation and cleanup.
- Work closely with financial analytics team and stakeholders across different business areas (Sales Operations, Finance, Recruitment). 
- Data preparing, transforming, cleansing, visualization, analyzing and modelling data from different sources. 
- Outliers detection. 
- Search for financially advantageous solutions, conclusions for managers above. 
- Reporting, writing queries to the database.
Looking for opportunities to switch to more "Data science"-like field. Also watching for a challenging and interesting task where I can gain more data mining and machine learning skills. Additional paid education would be a plus.
Position: Data scientist
Category: Data Science
Experience: 2 years | English: intermediate

• Successful development of fraud-detection algorithms (supervised learning, fake company opinions);
• Participation in user segmentation, company segmentation projects (dimensionality reduction, t-sne, clustering);
• Conduction of data science trainings for teammates (python, supervised/unsupervised learning algorithms, visualization);
• Speaker at the DataFest workshop (http://datafest.in.ua/)
• 3+ years as Data Analyst, 1+ year as a Data Scientist
• Coursera / Udacity / Udemy certified
• UDS-club member: https://github.com/udsclub
• Active participant of DS events: AI Ukraine, AI Rush etc.
• Python: pandas, numpy, scikit-learn, matplotlib, Anaconda;
• Data retrieval / ETL: SQL / No-SQL, web-parsing, JSON, APIs
• Machine Learning: supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction, visualization), feature extraction / engineering - from linear models to xgboost
• NLP: n-grams, word embeddings (Hellinger PCA, word2vec, gloVe); stemming/lemmatization; sentiment analysis with NLTK, TextBlob, re, pandas
• Deep Learning: CNN, LSTM, keras, Tensorflow
• Solid Math background
I would like to apply my skills within these fields (R&D-based work is preferable): Data Science / Computer Vision / Machine Learning / Deep Learning.
I'm NOT INTERESTED AT ALL in: Banking, Telecom, eCommerce, Ad, Marketing, Gambling, Social/Media, Oil & Gas domains
Position: Data scientist
Category: Data Science
Experience: 3 years | English: upper

Business value added ( 10% revenue increase ) , efficient product research / implementation
3 years DataScientist,  4 years BigData, 6 years as Java , 14 years in IT
main tools : Python R Spark Java Scala ML Hadoop SQL
Several projects in Data Science and numerous projects in JavaEE backend development
Interesting challenging projects
Position: Data scientist
Category: Data Science
Experience: 5 years | English: fluent

- AWS Certified Cloud Practitioner
- DataIku ML Practitioner Certificate
- Experience with production and branching strategies
- Created a core part for fraud investigations scripts in insurance 
- Refactored code with 20 times faster data generation
- Managed 4 data scientists
- Improved  accuracy by 8% on UK food shipment prediction compared to the company base model 
- 96% marks “Excellent” in University.
- Diploma in Actuarial Technics in UK university  
- 20+ courses on DataCamp
5 years of Python experience:

Success story with Fortune-500 companies in UK, USA, Poland
Domains: Insurance, FMCG, HR, Stock market, Fashion
ML part: Regression and classification tasks, gradient boosting models (xgboost, lgbm, catboost), neural models (TensorFlow, Keras),statistical models, models tunining (sklearn, optuna), models explainability (shap)  
Production: testing with pytest, logging, change requests
DevOps: Jenkins, git/bitbucket 
Data storage: Hadoop, HBase, MySQL, Snowflake
Data Visualization: plotly, seaborn
NLP analysis (Spacy, NLTK).
Cloud experience: AWS certified cloud practitioner, some experience with Azure and IBM Cloud 


10 years of actuarial and risk-management experience in insurance: 
- Calculation of basic price on Ukrainian OMTPL insurance market for 5mln cars yearly, >200 mln USD
- Development of the model for risk-assessment for insurance companies (30+ clients)
- Negotiations with shareholders, Big-4 auditors, presenting results
Strong and friendly team
Ability to growth in profession
Prediction in various areas 
Time series forecasting
Position: Data scientist
Category: Other
Experience: 2.5 years | English: intermediate

Kyiv Star Big Data School
Machine Learning - Coursera Course Certificate
An experienced data analyst in data processing and modelling in R; hands on experience of applying machine learning algorithms; knowledge in Python and SQL; experience of assisting in the development of data models and BI systems (Oracle BI, Tableau)
Challenging tasks, Professional growth
Position: Data scientist
Category: Data Science
Experience: 0 years | English: pre


Application of Python programming language for processing accumulated experimental data, namely EDA, A/B testing of hypotheses. Calculations of sample sizes for experimental research. Checking the distribution of experimental data for normality. Mathematical justification for the selection of promising tools based on the results of experimental research, mathematical justification for
substance dosage and extrapolation of dosing to umans. Regression and correlation analysis. Mathematical calculations of salary and taxes - development of a console application.
Position: Data scientist
Category: Data Science
Experience: 6 years | English: upper

Developed ML-models and algorithms and implemented in production:

Fraud detection
Spam detection
Bad content detection
Risk indicators system
Automotized routine manual tasks for colegueas
by creating reports, web applications, dashboards.
Leaded analytics support for ML-projects

Courses passed: Stanford courses for Machine learning and Deep learning
Area of responsibilities and finished projects during career

Data science:

- User segmentation
- Time series forecast
- Price prediction
- Transaction clustering
- Churn detection
- Fraud detection
- Spam detection
- NLP
- Implementation of scientific articles

Data analytics:

- Analytic of paid services price changes
- Analytic of machine learning models
- Data visualization(KPI's,  ML model metrics, other)
- Automation of business processes
- E-commerce analysis
- KPI reports
- Data quality reports
- Ad-hoc queries
- Algorithms efficiency analysis
- Bad content detection
- Development of risk methodology
- Development, analysis and testing of index-indicators and risk-indicators
- Segmentation of procuring entities
- Statistical research of trader behavior. 
- Applying statistic to detect behavioral bias
- ML models results analysis

Skills and Qualifications:

- SQL: Postgres, MySQL, AmazonRedshift, Presto 
- noSQL:  Elasticsearch, MongoDB
- Relational Data Base: indexes, optimization, ACID, DDL, ETL
- Programing languages: Python - main, familiar with R
- Data visualization: Tableau, Google Data Studio
- Data science:
--  Supervised: linear, tree decisions, boosting, regression, ensemble algorithms, regressions
--  Unsupervised algorithms
--  Probability Theory 
--  Statistics

- Web scraping - bs4, including asynchronous scraping
- Web applications: python libraries like streamlit, dash
- API development - FastAPI implementation
- Google API spreadsheets
- Slack API
- Data structures

Familiar with: OOP, Deep Learning, Algorithms
Product companies is first priority
but also interested to try to work in outsource/outstaff companies
Position: Data scientist
Category: Other
Experience: 1.5 years | English: intermediate

Completed online courses:
- The Data Scientist’s Toolbox
- R Programming
- Programming for Everybody (Getting Started with Python)
- Python Data Structures
Background:
- 5 years' experience in data handling with OriginPro as an engineer;
- 1.5 year of experience in R programming.

Tech skills:
- R (data extraction, cleaning, handling, visualization);
- OriginPro (data cleaning, visualization, peak analysis, curve fitting).

Education:
- Master's Degree in Physics.
I prefer flexible working hours, formal employment.

Don't like intrusive team building.
Position: Data scientist
Category: Data Science
Experience: 3 years | English: intermediate


Big Data Engineer and Business Intelligence - 0.5 year
Junior Data Scientist - 0.5 year
Middle Data Scientist - 1.5 year
Own NLP startup - 1 year
Position: Data scientist
Category: Data Science
Experience: 1 years | English: intermediate

Python/R:
- natural language processing (gensim, nltk, pymorphy2);
- building neural networks (RNN, FF, LSTM) ​using python (keras, Theano, TensorFlow);
- develop new and using existing​ sentiment analysis program​;
- time series forecasting using neural networks, ARMA, ARIMA, ARFIMA models;
- data mining and analysis with R (forecast, casuality analysis, clusterization).

С/С++
Programs: 
- analysis of fluid flow in a closed region by Ritc method; 
- realtime fluid modeling by the smoothed particles hydrodynamics (SPH) method;
- the program for encoding / decoding a radio signal in simplex and duplex mode, analyzing the signal spectrum;
- text analysis program.
C/C++ - STL, Qt, CMake;
Python - numpy, sympy, pandas, keras. (NLP, NN, RNN);
R - time series analysis/prediction, NLP, kohonen NN;
SQL - MySQL, SQLite, Postgres;
Math - Wolfram Mathematica;
GIT.
1. The possibility of continuous development and increasing of professional skills;
2. Fixed salary;
3. Job in office.
Position: Data scientist
Category: Python
Experience: 0.5 years | English: intermediate

Accomplished online courses (at Coursera, eDx, datacamp)
COMMERCIAL EXPERIENCE:
- 3+ years of experience in designing and developing CRM (Oracle Siebel, PL/SQL), including 1+ year of experience at UI customization (JavaScript, CSS, HTML)
- 0.5 years of experince in ASP.NET MVC (.NET, MS SQL, Link2SQL, JavaScript, CSS, HTML)
ACADEMIC EXPERIENCE:
- programming languages: Python (numpy, pandas, matplotlib), JavaScript (native, jQuery, Angular), C#, SQL, CSS, HTML
- databases: Oracle PL\SQL, MS SQL Server, MongoDB
- machine learning (neural networks, clusterization, classification), regression analysis, statistics, time series analysis, optimization methods, numerical methods
- environments: IPython Notebook, Spyder, MS Visual Studio, Sublime Text
interesting tasks,
constant professional growth,
health work environmwent
Position: Data scientist
Category: Data Science
Experience: 1.5 years | English: pre

Completed projects:
- adaptive fuzzy neural network for regularization of BLA
- singular spectrum analysis for time series forecasting
- universal method of binarization of images based on mathematics SVD(OpenCV)
- recommendation system by data from ClickHouse, based on graph clustering algorithms
- Confident experience in R, C#, Python (numpy, pandas, scikit-learn, nltk);
- Understanding ML algorithms (regression, time series, classification, clustering, neural networks);
- Basic knowledge in computer vision.
I want to develop my skills as a data scientist / machine learning expert working on real tasks. I'm already working in company, so i search only remote work.
Position: Data scientist
Category: Other
Experience: 1 years | English: fluent


- Data analysis, wrangling and mining in R and Python (NumPy, scikit-learn, pandas) 
- 1+ year experience of building predictive models in R, using machine learning methods
- Supervised, unsupervised, reinforcement learning
- Experience with SQL (MySQL, PostgreSQL), MongoDB, Neo4j
- Master's degree in Applied Mathematics
- Strong knowledge of math statistics. Good knowledge of linear algebra, probability theory, discrete math 
- Good knowledge of statistical packages: Mathematica, Maple, Matlab
- Basic knowledge of C, C++, HTML 
- Proficient with Excel
- Visualization skills (ggplot)
- Responsible, fast learner
Interesting and challenging projects.
Position: Data scientist
Category: Data Science
Experience: 1 years | English: intermediate

_SmartTechno Hack
Worked on NLP system for Ukrainian language
_Document clustering system
Developed tools for preprocessing and clustering text documents
Results presented in web with Flask web app
_Game Jam KPI Hack
Took part in development 2D arcade game
_INT 20h Hack
Developed a supervised classification model for spam filtering
Took part in development web API
_Linguahack 2015
Scrapped huge amount of data from web for training prediction
model
Data Science, Machine Learning, Analytics, Python, Flask, Git, Linux, Windows, C#
Opportunities to work at the office alongside the professionals.
Opportunities to deepen my knowledge.
Want to work on querky projects that require curiosity and research.
Position: Data scientist
Category: JavaScript
Experience: 5 years | English: fluent


Data scientist and data visualiser. Interested in remote work.

Projects include spatial visualisation and analysis, text classification, API scraping etc.

Primary tools:
 % R (ggplot, plyr, reshape, data.table, shiny ... )
 % Ruby (Ruby on Rails, Sinatra)
 % Javascript (d3.js , jquery , underscore.js, require.js)
 % SQL (Postgres, PostGIS)
Exciting non-trivial projects.
Position: Data scientist
Category: Data Science
Experience: 1 years | English: intermediate


Data Scientist  
HyperC                                                                                                   03/2022 
Improve the production code by setting up, and testing.
Preparation of various types of data for further use.
Create and perform hypothesis testing using A/B testing.
Coming up with a new data encoding.
Using knowledge graph embeddings for reducing the dimensionality of the matrix and creating a low-dimensional matrix, predicting tais in triples.

Data Scientist
Israeli product company                                                   
10/2021-02/2022
 
Data analysis with visualization and preparation for further use.
Perform collaborative filtering recommendation problems based on Factorization Machines with implicit feedback data.
Position: Data scientist
Category: Data Science
Experience: 2 years | English: fluent


Delivering Scala solutions based on the cutting edge technologies, scalable systems, functional and reactive programming. DevOps.
Position: Data scientist
Category: Data Science
Experience: 6 years | English: upper

IBM data science professional certification

•	1C: Professional Platform 1C:Enterprise 8.3 PP880085879 (Jan 2015 1C Company)
•	1C: Programming Specialist Platform 1C:Enterprise 8 CS019991 (Sep 2016 1C Company)
•	1C: Professional Technological issues Platform 1C:Enterprise 8.3 PEK800003028 (Nov2017 1C Company)
•	1C: Professional ERP 1C:Enterprise 8.3 PERP800011491 (Nov 2017 1C Company)
•	1C: Professional Accounting 1C:Enterprise 8.3 PB80075198 (Mar 2018 1C Company)
•	1C: Professional Accounting 1C:Enterprise 8.3 PB80075198 (Mar 2018 1C Company)
•	1C: Professional Document Management 1C:Enterprise 8.3 PDO80009624 (Mar 2018 1C Company)
•	1C: Professional Trade Management 1C:Enterprise 8.3 PUT880053446 (Apr 2018 1C Company)
•	1C: Programming Specialist 1C:Enterprise 8 Accounting CS050702 (Oct 2018 1C Company)
•	1C: Consultanting Specialist 1C: Enterprise 8 HRM CS060624 (Dec 2019 1C Company)
•	Fluent English, Russian, Turkmen, Turkish
Effective Developer with over 6 years of experience specializing in software development and administration, team management and delivering complex implementations for Enterprise systems.
Deeply diving into data science area. Professional data science certification passed.
Position: Data scientist
Category: Business Analyst
Experience: 3 years | English: fluent

Clear business reports;
Precise and accurate mathematical models;
Perfect storyteller (correctly interpret your data)
- Experience of big data analysis for American "Furtune-500" company for all over 2 years (revenue maximization, churn prediction, decision analytics, customer clustering)
(Oracle databases, R-language, Matlab, SAS, BI, Tableau, SAP, CrystalReports, Eviews, BusinessObjects, many more);
- Strong understanding of probabilitiy and statistics;
- Experience and passion to high-performance statistical computing in functional paradigm (Scala);
- C++ background (strong understanding of algorithms, data types);
- Education: KPI (system analysis)
Position: Data scientist
Category: Data Science
Experience: 3 years | English: fluent


•	financial analytics
•	computer vision
•	signal processing
•	machine learning
•	Python, PyTorch, Tensorflow, C++
Interesting projects in the fields of machine learning, computer vision and other projects with emphasis on math. Professional growth.
Position: Data scientist
Category: Data Science
Experience: 5 years | English: fluent

- 30+ Certificates on Coursera, Edx, Datacamp
- 50+ problems solved on Leetcode
- Winner of Hackathon INT20H , Machine Learning category(Spam Detector)
- Second place in Hackathon AI Spring 
(Face detection in real time on CPU)
- Winner of Data Scientarium Hackathon 
(Show tongue, help world!) health project
- Second place in Hospital EnergyLab 2019 (Energy domain)
- Participant of Open Data Campus 2020 (Infrastructure domain)
- Participant of CinemaHack 2020 (Recommendation systems)
Full-stack Data Scientist with business mindset and 5+ years of experience. Creative problem solver who enjoys finding optimal solution. Enjoying presenting to product owners, communicating with technical and product stakeholders, collaborating with teammates. Designed and implemented bunch of solutions from scratch to production. 

Healthcare:
Designed and implemented AI Solution for detecting face skin condition problems. It helps people to care their skin, choose right serum for usage and avoid skin problem in advance.
Documented and deployed, provided demo session for the client.
Tech Stack: Python, OpenCV, TF, Docker, Flask, CNN, Numpy, Pandas, AWS (S3, RDS, Lambda, EC2, API Gateway), PostgreSQL, Git

Energetic:
Developed the solution of a logistic problem of coal transportation.
Collected technical requirements, optimised evaluating process. Documented and deployed, provided demo session for the client
Tech Stack: Python, Pulp, Numpy, MSSQL, Azure(Service Bus, Azure function), Docker, Git

Finance:
- Created strategies for algorithm trading 
- Created and optimized BackTest system 
- Developed relative with exchanges
Tech Stack: Python, Sklearn, Pandas, Numpy, GBM, Docker, Git, Azure
I am looking for a product company to extend my experience with.
Only interested in helpful products, which make our world better.
Position: Data scientist
Category: Data Science
Experience: 3 years | English: fluent

AI Spring hackathon
April 2017
We created an app that told you how good is your photo in real-time
Our team project was chosen in the top 4 out of 34

Kaggle participant
From June 2017 - September 2017
(CV project, classification on 257 classes)
Build models, use transfer learning with such architecture as, InceptionV3, Xception, DenseNet, Resnet, MobileNet, SqeezeNet;
Try optimization methods for neural network such as knowledge distillation, pruning;
Got a 4th place on Kaggle Leaderboard and 2d on private custom Leaderboard.

Data Science Hackathon
February 2018
Time series regression task 
Predict the count of members in the tender.
Kaggle in class format,  as a result our team win 3d place.
Good knowledge in Math;
 Knowledge of Python ML libraries: numpy, pandas,
scikit-learn, scipy and computer vision libraries: OpenCV,
Shapely, Pillow;
 Experience of working with classical ML algorithm;
 Experience of working with Deep learning;
 Frameworks: Keras, Tensorflow, PyTorch;
 Experience of working with Docker, Kubernetes;
 Experience of working with Big Data( MapReduce, Spark);
 Worked with bash, awk;
 Worked with algorithms;
 Knowledge of OOP/OOD principles;
 Experience of working with design Patterns;
 Multithreading(base knowledge);
 Experience of working with REST API;
 Knowledge of SOLID, TDD principles;
 Git;
 JIRA;
 Working in Scrum, Kanban.
Great team and interesting projects, improve my skills.
Position: Data scientist
Category: Data Science
Experience: 5 years | English: upper


- Hands-on experience in data mining, data analysis, statistical modeling
- Applying ML in production environment
- Support projects on various stages from early pre-sale to the deployment
- Customer communication regarding requirements elicitation and delivery of results
- Leading DS projects and management of the small teams
Position: Data scientist
Category: Data Science
Experience: 5 years | English: intermediate


Have machine learning experience in medicine, finance, agro-industry, AR and many other fields. Have a passion for data science/machine learning, worked with a great number of popular technologies. Strong foundation in Machine Learning. Determined to get the job done. Data science Instructor experience.
I can help you find effective ways to make data improve your customer experience and grow your business. Whether your case is complex, large or both,  I have the experience to  solve challenging business problems.

Bachelor of Engineering (Department of Non-Destructive Testing Instruments and Systems, KPI)


Last experience

DEMAND FORECAST (FOOD PROD, STORE\SKU SYSTEM)
System is based on time series demad\price data, competitors' prices and demand elasticity. The system helps analysts draw up a production plan for the future
Technologies: Python, XGBoost, DWH.

LAND COVER CLASSIFICATION
System is based on satellite optical and radar data. It includes core module processing Big Data and applying
ensemble of neural networks to it. The system helped to estimate the area of illegal crops and deforestation.
Technologies: Python, TensorFlow, Keras, PostgreSQL.

REMOTE FLOOD D ETECTION
System is based on satellite radar data. It includes core module processing Big Data and applying ensemble of
neural networks to it. The system counts the area of flooding and estimates the damage based on the map of land
cover classification.
Technologies: Python, TensorFlow, Keras, PostgreSQL.