lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: upper

I helped the company improve the main process (make the process faster, flexible and automatical), reach a business goal and save money and time)
work experience
Key responsibilities: quick prototypes and hypothesis validation, training models: supervised and unsupervised learning, both classical and DL approaches; data preprocessing, interactive tools for the analytics team, data visualization, fixing imbalanced data, code optimization. 
Tech stack: Python for Data Science (pandas, numpy, scipy, scikit learn, matplotlib, seaborn, xgboost, catboost, joblib), Deep Learning (Keras, TensorFlow), Python for ETL (Dask, hdfs3, Clickhouse), Jupyter Notebook (ipywidgets), SQL, Git, SSH
 
projects at university
Together with some university courses taken, I have been learning online about Data Science and Machine Learning. My framework is Python with pandas, numpy, scikit-learn, matplotlib and seaborn. For deep learning, I am using Keras + TensorFlow. 
I have made a personal and team projects for university courses(Data Analytics and Data Mining,  Network Optimization, Parallel computing, Machine Learning), as well as solutions for kaggle competitions(Sberbank Moscow Housing Prices, )
I enjoy the process of  data-driven decision making. It combines my technical math education with my passion to design. I like designing clear and self-explanatory visualizations with wide range of tools - matplotlib, seaborn, pyplot, folium - and provide strong statistical evidences.
I am pretty flexible and don't have criteria for the company, but good managing in a team and corporate culture is a good plus.
Position: Data Scientist
Category: Data Science
Experience: 6 years | English: fluent


Work experience - more than five years
I have a math degree.
Knowledge of statistics, probabilities, math modeling.
Engaged in:
- artificial intelligence (speech pattern recognition), machine learning
- writing reports, preparing various Excel-reports and Google-Sheets-analytics (including checking and aggregation of bank statements)
- automation of accounting and analytical activity.
Position: Data Scientist
Category: Data Science
Experience: 2.5 years | English: intermediate

Data Scientist with ability to data gathering and transform into useful information. Knowledge of Statistics, Maths (e.g., Probability theory, Linear Algebra, Calculus) and Physics. Capable to work with Machine Learning algorithms (Linear Regression, Logistic Regression, Decision Trees, Random forest, KNN, K-means, Naive Bayes and etc.)
Work experience: New Hope Supplies LLC / Internship / Apr.2022.
Role: Data Cleansing, Regression analysis of the relationship between company stock prices and industry and etc.

Projects: 1) X-class Solar flares prediction using ML. (Statistically analyzed historical data, then used Decision tree and Random Forest algorithms. Created models for predicting.
2) Pfizer EDA analysis. (Vaccine sentiment analysis by importing the necessary Python libraries and the dataset.)
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: intermediate


Work Experience:
Overall 10 years of work experience in Applied Mathematics and Data Science fields.
    • Proficient knowledge in mathematics, statistics, and analysis.
    • Experience in Data Mining, Data Analysis, Research.
    • Practical working experience: R programming, Python, Perl, Java, Machine learning.
    • Javascript, Html,  Css, Mysql, Clickhouse.
    • Knowledge of various tools such as GitHub, Bitbucket, Trello, RStudio, PyCharm, Jupyter Notebook.
    • Using such software as Docker,  Weka, Azure(ML), Grafana.
Position: Data Scientist
Category: Data Science
Experience: 2.5 years | English: fluent

* created age and gender prediction models and insert them into the real-time working pipeline
* developed opensource BayesianClassifiers lib for python 
* created an audio classifier as a freelance project
* developed multiple algorithms for power lines defects detection
Working in a big advertising company. Inserting ML pipelines (age prediction, gender prediction on apps) into real-time production. Add views optimization using survey data. Doing analytics of customers using R, Python, and their frameworks.
Experienced and competent team, high communication standard, interesting real-world problems.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: intermediate

Shot zero classification for text analysis
Working in sber, developing NLP-transformers(gpt, bert) models fpr production usage, also classis algorithms such as text vectorization, topic modeling.
Start-up or small company, developing NLP models, agi research
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper


Working with large and varied data sets from multiple data sources;
conduct analysis on current leads;
manage to collect, analyze and exploit prospect and customer data;
data gathering and monitoring campaigns; loading new contact data into the company database
data sourcing and cleansing, improving data quality.
Searching for some work experience in data science
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper


Writing my own SQL as part of a student project
 Modeling the spread of diseases as part of student project using machine learning
 war damage monitoring project using machine learning and Google Earth Engine
 Kaggle programming courses (Python, Data Visualization, Pandas,SQL)
 Coursera programming courses: SQL for Data Science,Introduction to Data Analytics,Introduction to
Data Science in Python,Custom Prediction Routine on Google AI Platform, Foundations of strategic
business analytics)
 Solving tasks for Kaggle
 Kaggle courses: Python, Pandas, Data Visualization, Feature Engineering,Intermediate Machine Learning
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper

I took part in a segmentation project where vehicle sales increased by 30 percent compared to the previous year.
I automated some of our time-consuming routine reports by using Python and SQL.
Together with my friends, we are developing an artificial intelligence-based Crypto trading bot!
I finished my master's degree with a real-time customer segmentation project!
Wunderman Thompson

- Taking part in customer segmentation, customer scorecard, and churn prediction projects using SQL, Python, Azure ML Studio in Coca-Cola's 'Daha Daha' application.
- Automating reports using SQL, Python, Excel and facilitating daily work.
- Build Power BI dashboards to visualize core business KPI's
- Updating the database with Google Analytics customer data using Big Query
- Analyzing and preparing data of sales, ad-hoc campaigns for Renault.
- Automation of daily reports with Python to create segmentation structure for automative sector clients providing data cleaning, data analysis, and preparation 
stages
- Data cleaning and preparation for customer segmentation
- Data extraction and Database update processes via SQL Server
- Preparing monthly dashboards and data visualization with Power BI

EY

- By using Alteryx, filtering and joining annual accounting records, reaching the provision accounts of these records, and adapting these records according to IFRS 17. 
- Developing a Pricing Premium prediction model on Python and Power BI by using Machine Learning algorithms.
- Calculation of PAA Eligibility test by using Python.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: fluent


Yandex:

 Conducted regular hypothesis testing for the tests that affected 60M auditory
• Revised hypothesis testing pipeline and improved speed of AB experiments by reducing false alerts by 20%
• Helped to improve search engine result page for 60M users by analyzing the results of dozens of design-related production AB experiments
• Improved AB-test procedure through adding a number of UI and UX features to internal AB-testing service

Kolesa Group:

• Reduced costs of data preprocessing pipeline by 70% using BigQuery data optimization
• Trained clustering models which helped to identify novel customer group and improve total revenue of the car loan branch by 2%
• Built dynamic dashboards in Power BI for 4 different product teams, which helped top management to control critical metrics across various business branches
• Identified key area to future development of the car loan branch by creating Customer Journey Map (CJM)
• Mentored a colleague with a more minor grade. Conducted regular code-review
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper

· ACM ICPC Quarter-Finals 2019 – ranked #12 out of 140+ teams and advanced to ICPC Semi-Finals.
· NU Datathon – won competition implementing sex and age classifier by using anonymous features of carrier users. · Magnum Hackathon 2020 – won the hackathon designing a recommendation system of grocery products.
· Google Kickstart 2020 Round E – ranked #1 in Kazakhstan, #517 in worldwide, top 4.5%.
· Google Hash Code 2020 – ranked #1058, top 10% worldwide.
· National Olympiad in Informatics (Kazakhstan) – Bronze Medal (2017).
· Eurasian Olympiad in Informatics – Bronze Medals (2017, 2018).
Yandex intern 
· Improved Alice’s intent detection classifier’s accuracy by  0.5%.
· Created a text classifier training pipeline. The pipeline was created in a cloud computing service called Nirvana.
The data pre-processing was implemented using Yandex Query Language.
Research Assistant at Nazarbayev University
· Calculated SGNS word embedding’s dependence on the linguistic data. I erased part of speech and named entity data from SGNS’s embeddings to calculate the dependency.
· The paper was accepted for the Journal of Artificial Intelligence Research which h-index is 123.
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: upper


yoe 3+ as Data Scientist/Product Analyst at the product with DAU over 10mln;

full data pipeline, etl processes, management teem (1-5 members)
looking for an interesting product.
no outsource staff
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper


УКР Кредит Финанс – Junior Data Analytic - 01.2022-09.2020
	Internship program
	Maintaining Database
Data visualization
	Bug fixing
currently i am a first grade master of KAU university and my specialization is computer science.
i am ambitious student who want to work as data scientist and have experience in solving data problems. Also i have knowledges how to work with data instruments. i comleted few courses of data science.
Position: Data Scientist,
Category: Data Science
Experience: 2 years | English: intermediate


I am CTO in the company,  which develops hardware devices. I am very interested in Ml/AI. I am Data Scientist in startup-project Aidrome.
Position: Data Scientist,
Category: Python
Experience: 1.5 years | English: fluent


I am junior in data science with passion to develop and become professional in this area. Ready for machine learning challenges. Strong analytical skills with Python coding background. Experienced in full cycle of project starting with data scrapping, data cleaning, feature engineering, modelling, deployement, web app (streamlit).
Position: DATA SCIENTIST
Category: Data Science
Experience: 2 years | English: upper

SOFT SKILLS
•	Critical thinking and problem-solving skills;
•	Adaptability and propensity to learn new coding languages and programs;
•	Communication skills and ability to boil down complex subjects to simple terms;
•	Leaderships.

CERTIFICATIONS
1. 15/07/2020 – Digital competence framework for Ukrainian teachers and other citizens / dComFra (Certificate of Online training activities Completion) (90 hours) No. 598236-EPP-1-2018-1-LT-EPPKA2-CBHE-SP
2. 26/04/2020 – The fundamentals of Software Testing (Certificate of Course Completion) QATestLab Training Center, №343102 
3.  06/03/2020 - Cisco Networking Academy “Introduction to IoT”, certificate
4. 31/01/2020 - EPAM Systems “Teachers Internship Winter”, certificate, 
5.  14/03/2019 - CARITAS Kyiv “Mystery Conflict” certificate and 14/12/2019; “Conflict Management+” 
6.  04/01/2019  - SAS INSTITUT EL.EL.SІ. Course “Intellectual model SAS®9”, certificate No 5
CORE SKILLS
•	creating and present Data Regression and Fuzzy Logic Models,  that accuracy indicators (10%) are improved comparing;
•	using Predictive Data Modeling for the values of the shares of Facebook on the stock exchange;
•	Image Processing increase the efficiency of Analysis, reducing the time spent on work by 8.97%;
•	The advertising prediction model based on machine learning technologies that showed high accuracy of the proposed model on complex data with not less than 91.39%;
•	analyzing data mining;
•	knowledge of Machine Learning Algorithms to identify new characteristics of  Big Data;
•	creating and training the Neural Network to increase the speed of algorithm execution;
•	Math Background and critical thinking, Mentoring;
•	Technical writer, have more than 40 scientific papers.

PhD DEGREE
Dec, 2017.	PhD, Specialty: Information technology; topic: «Methods and models of information technology for an automated system for processing diagnostic information on the basis of thermal images».
 
EXPERIENCE
2019-Present	Taras Shevchenko National University of Kyiv, Faculty of Information Technologies, Assistant Professor 
2017-2018 	State University of Telecommunications, Faculty of Information Technologies; Senior Lecturer, Associate Professor
2013-2015 	Donetsk National Technical University, Faculty of Computer Science and Technology, Assistant Professor
I would love to do something more meaningfuland useful and get more involved into working on a diverse range of projects where I cancollaboratewith passionate people and learn new approaches and technologies. I would like to work at a cutting-edge company that tries to make a positive impactin the world.
Position: Data Scientist / AI Product manager
Category: Data Science
Experience: 3 years | English: fluent


I have extensive Product Management background, working in various positions from Analyst to Operations manager. Also, 3 years ago, I moved to the Data Science field: I got Master's degree in Data Science and then worked as a Researcher in a neuroscience institute at a Canadian university.

- as a researcher, I've proposed a novel approach to electroencephalograms (human brain activity) classification by applying NLP-based algorithm. Published a paper on the project. 
- managed digital-marketing teams to create product from scratch, develop strategy and key messages, use different channels to attract new customers (from 0 to 10,000 in one case) 
- designed multiple products in fintech, e-commerce and education from scratch, enhance existing ones as well.
- worked with outsource both on customer and vendor side. Know how to gather and manage multiple freelance teams at a time.
- optimize business processes both in huge traditional companies and small startups: organizational structure, planning, budgeting, operations, etc
- can work by myself by writing content, designing presentations and interfaces, speaking in public, looking for partnerships, talk to new and existing clients. 
- set and use analytics tools to perform data analysis because decisions should be data-driven.
- experienced in blockchain and crypto field, understand the tech and business landscape. Managed several crowdfunding projects with the total amount of $30M raised.
Position: Data Scientist / AI Researcher
Category: Data Science
Experience: 3 years | English: fluent

CS Global Coding Challenge 2021 — Top 200 World (out of 16K+ participants) 
— Credit Suisse-sponsored worldwide coding challenge with finance-specific problems

Strong background with research methodology, prepared several internal peer reviews for published papers.
Amazon — Applied Scientist (1.5 years)
- Custom transformer-based models
- Custom convolution methods for conversation classification
- Work on algorithms for spell-checking & intentional error (obfuscation) correction
Monobank — Finance Data Analyst (2 years)
- Various project
Position: Data scientist, analyst
Category: Data Science
Experience: 1 years | English: upper


10 years of experience in structured and unstructured data processing, analytics, reporting, data visualization

More than 1 year (since August 2016) of commercial experience in data science and machine learning, have worked on 2 sophisticated commercial projects with machine learning:
- Dynamic Bidding project for the Programmatic advertising (Vowpal Wabbit, Python, Redis, Aerospike, Kafka, XGBoost)
- Speech processing project (MFCC, GMM, HMM, Neural Networks - CNN, LSTM, Tensorflow C++ API)

Additionally 2+ years of studying machine learning, a dozen of passed MOOCs

Degree in Economic Cybernetics
Position: Data Scientist & Analyst
Category: Data Science
Experience: 0 years | English: upper


•	Provide web analysis and implement search engine optimization, data visualization reports, content creation and optimization for more than 60 websites and web pages for getting into top 3/5/10 position between competitors in organic search
•	Perform monetisation for informational sites from scratch with zero traffic to everyday attendance of 30000 unique hosts in 7 months
•	Providing A/B testing of keywords for content in informational sites which increased average growth traffic by 30% and average advertising revenue by 16%
Position: Data Scientist / Analyst
Category: Data Analyst
Experience: 2 years | English: fluent


* Creation and evaluating the impact of promo campaigns, calculating customers' LTV and other
metrics
* Automation of data gathering from various sources (Python + Selenium)
* Building up complex, automatically updating models and visualizing them via BI instruments
* Formulating tasks for developers for internal reporting portal improvement
* Consulting the stakeholders on the M&A process, performing the internal investigations on
money movements within the company complex corporate structure
* Querying the missing documents and requesting valid information during the M&A periods
* Preparing, verification and sending reports to other departments
Position: Data Scientist / Analyst
Category: Data Analyst
Experience: 3 years | English: fluent

Talking about my achievements, right after graduation from high school I got accepted to the Hungarian fully funded scholarship (Stipendium Hungaricum). During my studies I have been awarded 2 times with Hungarian Central Bank Scholarship of Excellence and 2 times with Excellence scholarship by Hungarian Ministry of Innovation.

Also, I have graduated from university with degree of 4.99 out of 5.

Newly finished Machine Learning Operations (MLOps) Bootcamp with highest score and loads of practical experience.
I have more than 3 years of experience as  Data Analyst/ Scientist in banking, insurance, finance and e-commerce domains. 

I have worked as a Senior Reporting Data Analyst  in ExxonMobil for one year. During this period, I used mainly SQL, Python, Power BI for working big datasets, analyzing and building dashboards. 

Later, I worked as a Data Scientist in one of prominent bank of Azerbaijan. Involved in various projects, such as Scoring, Churn models. Gained experience with Data Preprocessing, variable generation, and building different ML algorithms, such as Logistic Regression, Decision Trees and Boosting.

Currently working as a Data Science Expert in an insurance sector and involved in Pricing project, web-scraping, building APIs with Python for different business needs. Building dashboards with Power BI and reports for making business critical decisions. 

Additionally, working as a part-time remote Data Analyst at one of the US based startups where I am handling, creating and updating dashboards in Google Looker Studio, preforming data analysis in a close collaboration with business people.
Position: Data Scientist/Analyst
Category: Data Science
Experience: 1 years | English: fluent

2:1 degree in Edinburgh University;

Research publication;

over 270 solved problems on LeetCode;

Honorable mention on "International Math Competition" 2017 and 2018;

Google data analytics certificate
Conducted customer review analysis to reveal weak points of company
Created automated scripts to measure objectives & key results (OKRs) of units and bot notifications
Created and maintained automated dashboards to track business funnel and OKRs
Generated insights for performance of units

Extracted metrics from routing plans and tested them on predictive power to classify good/bad routes
Proposed rules inferred from selected metrics to improve heuristics algorithm

Fully replaced manual reporting system of analytics unit by automated dashboards
Position: Data Scientist/Analyst
Category: SQL
Experience: 1.5 years | English: upper

- Identified, suggested, and managed the implementation of a feature that breakeven by the 4th month after its launch, generating 5%+ of additional revenue for the entire app.

- Initiated, run, and analyzed 100+ A/B tests that boosted total company revenue by 10% MoM

- Developed the ML model, which leads to retention growth by 2 p.p. with 0% money loss. 

- Independently controlled implementation of about 400 features and improvements (including tasks initialization, description for developers, implementation control, analytics, and next steps advice)
Hiya! Hi!

A data analyst/scientist from a product company is open to new adventures now.

I would like to boost your company's performances via  A/B, A/A, A/B/n... testing. After 100+ launched A/B tests, I faced a lot of mistakes and cases that advance my skills. 

Suppose some tasks require mode advanced tools. I may help you with machine learning modeling. For example, I have implemented a model which leads to retention growth by 2 p.p. with 0% money loss. 

My colleagues told me that I love numbers more than people. Probably it`s true. I adore math and statistics, which helps me to feel the numbers and observe deep level insight. 

I was taught to take full responsibility for each task I got. That's why you do not need to micro-manage me. I value more couching, space for risks, experiments, and, of course, mistakes. 

I prefer to share my finding with a team with beautiful and insightful visuals. Unlike most, I enjoy presenting to a non-analytical audience. It helps me polish up my knowledge and communication abilities.
Position: Data Scientist/Analyst
Category: Data Science
Experience: 1 years | English: fluent


I am proficient in the programming languages Python and R for building ML and DL models and deploying them for production. Moreover, I learned SQL for querying the databases and IBM powered tools like SPSS Statistics, SPSS Modeler for easy data processing. For the data visualization, I took Tableau verified exam and gained the title of Tableau Desktop Specialist.  Finally, as in today’s fast paced world, the amount of data gets bigger and bigger with a very fast speed, I have acquired the knowledge of working with HDFS systems, utilizing Apache Spark, MongoDB and AWS solutions for handling and analyzing big data.
I want to get a job at Data Science in order to apply the knowledge that I have gained. Remote job opportunities are suitable.
Position: Data Scientist/Analyst
Category: Data Science
Experience: 0 years | English: intermediate

I started as a position Trainee and now I am a Technical Engineer.
I work on ERP projects. Work with offshore Drilling Rigs and FPSO ( floating production storage and offloading ). I analyze data, created structures, work with spare parts, create master data, build Reference structures for rigs and FPSOs, and work with maintenance. I want to join the IT family because it's a very interesting industry and that's a good way to develop English and skills, and I thing IT does the products which help people.