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


My current responsibilities include:
• Troubleshooting and resolving technical issues within data processing systems, including performance tuning and optimization of Spark applications and SQL queries. 
• Collaborating with development and data teams to understand data requirements, implement data transformations, and review code quality 
• Developing efficient code within Databricks Notebooks to support data processing and analysis tasks 
• Creating delta tables using data from multiple sources 
• Engaging in Spark development to create scalable and reliable data processing applications 
• Optimizing ADF pipelines 
• Addressing and resolved bug fixes 
• Crafting SQL queries to extract, analyze, and manipulate data from various databases 
• Conducting research to identify, evaluate, and implement potential solutions

Technologies:
• Apache Spark 
• Databricks 
• Microsoft Azure Cloud 
• Azure Data Factory 
• SQL 
• Scala/Python 
• Grafana

My previous experience contains the following responsibilities and technologies:
Responsibilities:
• Created delta tables using data from multiple zones 
• Developed code in Databricks Notebooks 
• Spark and Python development 
• Worked with ADF pipelines 
• Performed different bugfixes 
• Created SQL queries 
• Searched for possible solutions 
• Implemented Python tool to parse existing codebase and build data lineage based on SQL code 
• Implemented tool for interactive visualization of SQL data lineage 
• Implemented unit tests.

Technologies:
• Apache Spark 
• Databricks 
• Microsoft Azure Cloud 
• Azure Data Factory 
• SQL 
• Python

I am dedicated to advancing as a proficient big data engineer by continuously enhancing my technical skills in data processing, distributed systems, and cloud platforms. Through hands-on experience in real-world projects and active engagement with industry trends, I aspire to contribute effectively to large-scale data processing.
Position: Middle Data Engineer
Category: Data Engineer
Experience: 3 years | English: upper

Not sure that statements like "performance increased by 42%" are worth to be added here, cause no one knows what and how something was implemented before.  

Anyways, I've got some certifications in Python, SQL and Data Engineering fields from DataCamp in my LinkedIn profile.
- Participated in designing and implementing real-time ELT pipeline to process semi-structured data from Apache Kafka to PostgreSQL using Python and its libraries;
- Wrote lots of SQL procedures and functions in Postgresql that process, enrich the data received from Kafka;
- Created APIs using PostgREST in order to data in database was accessible from outside;
- Developed a generic Python application that loads data from a database and puts it on either Email or SFTP server in CSV format;
- Created pipelines that archive data from PostgreSQL to Google Cloud Storage daily;
- Utilised Apache Airflow as a tool for triggering data pipelines periodically and continuously;
- Implemented real-time ETL pipelines that loads data from Kafka to Google BigQuery;
- Participated in designing data warehouse solution in Google BigQuery and wrote lots of SQL procedures and functions that loads data into the DWH;
- Implemented a Python application with Pandas that loads data from multiple data sources, compares it and sends the results of comparison to email;
- Created many reports and dashboards using  JasperReports tools which are sent to the clients' emails everyday.
I want to improve my skills in Data Engineering field, especially focusing on the cloud products. And if your company provides any help with preparing or/and getting any AWS/GCP certifications then I will consider them at first.
Position: Middle Data Engineer
Category: SQL
Experience: 3 years | English: upper


QA Responsibilities:
• Product quality providing at all stages of SDLC
• Automation scripts creating (Batch files, Python)
• Requirements Analysis, Traceability Matrix maintenance
• TC's creation, execution and maintenance on all environments
• Data Quality analysis
• Jira to Azure DevOps TC's migration
• Initial and Incremental load testing

Dev Responsibilities:
• writing complex T-SQL queries
• some experience with SSIS jobs
• writing stored procedures for testing purposes in MS SQL Server
• improving query execution performance
• reports creating using PowerBI and SSRS

DBA Responsibilities:
• creating objects (tables, views, CTE's, Stored Procedures, Triggers) in MS SQL Server
• some experience with job scheduling using Crontab
• Batch script creating for quick objects deploying
• some basic experience with backup creating in MS SQL Server
• Indexes creating

None-projects activities:
• Participating in Python Course as Assistant and Code Reviewer
• Interviewing (11 sessions on 7 July 2020)
• Soft Skills Course passed

Tools:
• Microsoft SQL Server Management Studio
• PyCharm
• Azure DevOps
• Jenkins

Certifications:
• Microsoft Azure AZ-900
• Google Cloud Platform Associate Cloud Engineer (Coursera)
• Datacamp Data Engineer

Technologies and Languages:
• Python, PySpark
• Golang
• T-SQL
• Batch
• RDBMS, DWBI (Data Warehousing & Business Intelligence), ETL
Position: Middle Data / Product Analyst
Category: Data Analyst
Experience: 4 years | English: fluent

Developed a pipeline that provided tooltips about customer recent activities based on transactional profile (ie "is renovating", "planning a vacation") for call center, which resulted in a 5% uplift in sales and garnered appreciation of call center employees.

Analyzed sets of customer attributes that lead to a purchase, when developed as a triggered pipeline with automatic offer generation this provided 7% uplift in sales.

Analyzed retention and customer activity for customers with a specific product that was designed as retention enabler Demonstrated how it is inefficient, which allowed to save resources allocated to support the product.

Executed a just-in-time power analysis of a big call-based AB-test that resulted in review of the experiment design and allowed to avoid spending resources on an invalid test.

Analyzed amount of documents to be filled before purchase of a product, prepared a visualization of pages signed before purchase to emphasize the need for optimization. Visualization resonated with stake-holders and document package optimization has become a priority.
# Profile
I work as Data Analyst / Scientist, building cloud-based analytics solutions to enhance customer experience by cutting unwanted communications and providing optimized just-in-time offers.

Previously worked as a data / product analyst in a team developing a chatbot that provides users with an interface to messaging-based finance and as a Data Analyst in finance.


# Skills & Technologies

## SQL
I have experience working with an enterprise-grade DB and datasets ranging into hundreds of millions of records. I have written thousands of queries and can confidently perform any join, fluently use window functions, author stored procedures etc.

## Data Analysis in R / Python
I have performed over a hundred ad hoc analyses, delivering insights into customer acquisition dynamics, customer behavior and product profitability. I am very comfortable with all steps of the data analysis loop, from data cleaning and transformation to analysis and visualization. Have experience with sourcing data and integrating data from disparate sources.

## Visualization
I have an extensive working experience with visualizing data. I have solid grasp of principles of good visualization practice and experience in both automated figure generation and preparation of publication-quality reports. Familiar with creating dashboards in Power BI, looking to develop my skills in this area further.


## A/B Testing
Experience with calculating the sample size and interpreting results (winner, uplift) for AB tests with sample sizes in the tens of thousands. Looking to develop my skillset further in this area and tackle bigger and more complex designs. Computed efficacy of medications (assumptions verification, effect size, significance, confidence intervals) in clinical trials (as independent contractor).
Product company preferred
Company has an analytics team
Remote or Remote/Office hybrid
Flexible hours preferred
Position: Middle data scientist
Category: Data Science
Experience: 3 years | English: upper

Full stack development of score system in AC.
Developed my own program in R(Shiny) for using machine learning algorithms.
Developed my own program in R(Shiny) for building score cards.
Developed my own system in T-SQL for segmentation new portfolio and validation developed score cards.
Work experience:
01/03/2019-06/2023maternity leave.

Major Responsibilities at “Asia-collect”(01/06/2018-01/03/2019):
o	                    Scorecard development & validation;
o	            Developed first scoring system in company(one specialist, there wasn’t any scoring system before at all)
o	                    analysis of big data sets (R):
o	                    cluster analysis
o	                    random forest
o	                    K means
o	                    Forecasting of profit, expenses
o	                    Development and automation  reports (MS SQL,  T-SQL) 
o	                    Collection analysis & reporting
o	                    Development of detailed assignments for IT & MIS developers
o	                    Reporting template and benchmark (analysis) development
o	                    Forecast (planning) model development (portfolio, products & collection)
                    
 
Major Responsibilities at “Агенство Кредитних Рішень”(27/10/ 2015–01/06/2018):
 
o	                    Scorecard development & validation;
o	                    analysis of big data sets (R):
o	                    cluster analysis(developed dashboard R)
o	                    random forest(developed dashboard R)
o	                    gradient boosting(developed dashboard R)
o	                    k_means(develop dashboard R)
o	                    heatmap visualization
o	                    Forecasting of profit,expences
o	                    Visualization in Shiny, made 2 projets
o	                    avtomatization legal reports
o	                    Development and automation  reports (MS SQL, ORACLE,T-SQL)
o	                    calculation and analysis of company ratings         
o	                    Collection analysis & reporting
o	                    Development of detailed assignments for IT & MIS developers
o	                    Reporting template and benchmark (analysis) development
o	                    Forecast (planning) model development (portfolio, products & collection)
o	                    Work with stop-loss projects
o	                    Experience in work with programs: RedMine
I'm looking for an interesting work in a friendly team. I always worked in R (3 years) can try to start work with Python but i just started my studying in udemy bootcamp.
Position: Middle Data Scientist
Category: Data Science
Experience: 2.5 years | English: upper


2.5 years of experience in data analysis.  Involved in data processing, feature engineering, and insights discovery..

I aim to further develop in the field of data science, and I would be excited to gain new experience in Data Science or Machine Learning.
I am ready to join both large and small teams. I prefer outsourcing as it provides opportunities to work on a greater variety of projects compared to a product company. I am exclusively interested in full-time positions with a flexible schedule.
Position: Middle Data Scientist
Category: Data Science
Experience: 3 years | English: upper


An experienced Data Scientist with a strong academic background and a passion for utilizing data to drive meaningful insights and making informed business decisions. Continuous learning mindset and keen attention to detail. Extensive experience tackling complex analytical challenges. Thrive in collaborative environments and enjoy working with cross-functional teams to deliver impactful solutions. Adept at managing and fulfilling requirements from ideation to completion. Successful implementation of over 100 data-driven solutions in Risk Management, Fintech, Insurance, and Dating.
Position: Middle Data Scientist
Category: Data Science
Experience: 1 years | English: upper

Google Online Course Certificate "Introduc-tion to Git and GitHub"(Coursera 2022)

5 University of Michigan Online Course Certificates (Coursera 2020): "Introduction to Data Science in Python",   "Applied Plotting, Charting & Data Representation in Python", "Applied Machine Learning in Python",  "Applied Text Mining in Python" and "Applied Social Network Analysis in Python"

Сertificate for the 3 place for the SMART CITY IDEATHONE SocialTech by Genesis (2019)

Certificate of 10 top finalist of the Diamond Challenge in the field of social business projects (2019) (satellite images using artificial intelligence methods)

Intel ISEF participant certificate in the Information Technology category within the POLYTECO project (2018-2019)

Two certificates of the participant of the hackathon NASA Space Apps Challenge (2018, 2019)

NAU-NOX Space Summer School participant certificate in space technology and satellite imagery analysis (2018)

Cisco level A + certificate (2018)

Certificate Samsung IT School for Android Development (2017)
Data Scientist at TemaBit, Fozzy Group, Artificial Intelligence Innovation Laboratory since July 2021.
• Work in the field of product development with the aim of increasing the metrics of involvement and monetization
• Development of statistical and mathematical methods in optimization and forecasting problems (regression and correlation analysis, analysis of time series)
• Design, developing, training, testing of machine learning models and algorithms with interaction with product teams
• Providing comparative research on  algorithms and models (AutoML, neural networks, gradient boosting machine)
Position: Middle Data Scientist
Category: Data Science
Experience: 2 years | English: upper


Data scientist with 2 years of experience.

Responsibilities:
- Model Development, Evaluation and Optimization.
- Data Cleaning and Preprocessing.
- Creating and optimizing reports using VBA (MS Excel)
- Forecasting time series
- Visualization of indicators dynamics
- Work with data
- Communication with clients.

University education (Economic Cybernetics (Bachelor) and Economic Analytics and Statistics (Master) Taras Shevchenko National University) and self-education:

- good knowledge of SQL;
- Python (Pandas, Numpy, Scipy, Matplotlib, Plotly);
- Visualization using Tableau;
- Knowledge of descriptive statistics, understanding of methods for testing statistical hypotheses;
- Knowledge of probability theory and understanding of basic probability distributions;
- Knowledge of classical linear models and clustering methods;
Motivated and ambitious Data Scientist with expertise in data analysis, machine learning, and statistical modeling. Dedicated to leveraging data-driven approaches to solve complex problems and drive impactful business outcomes, while continuously expanding technical skills and domain knowledge.
Position: Middle Data Scientist
Category: Data Science
Experience: 2 years | English: intermediate

- Work with microcontrollers (Arduino);
- Received medical education;
Experience in the areas of Data Analytics, Machine Learning and Deep Learning. 
  
  The first direction was a project to forecast the sale of items in certain regions for the purpose of rational financing. Methods of applied statistical analysis and time series analysis were used.

  The second direction is related to the performance of various regression and classification problems by linear and nonlinear methods. To do this, I used the currently available classic models and tried to implement modern methods. For example, regression with Bayesian inference or the creation of optimization methods to find the global extremum.

  The third area is directly related to Deep Learning and its areas - Computer Vision and NLP. 
 1. With the help of convolutional networks I solved the problems of classification, semantic segmentation, and object detection. I have a practice of using encoding and attention technologies. 
 2. With the help of recurrent networks engaged in the development of chatbots and generalization of text data for further processing.
Engage in projects that have different directions and gain knowledge in new areas. Also I am inspired to gain new knowledge and share my own experiences.
Position: Middle Data Scientist
Category: Data Science
Experience: 1 years | English: fluent

Have completed multiple courses on Mathematics of Data Science as well as Applied Data Science,
International Physics Olympiad Participand and award winner,
3 times gold medal winner in national olympiad,
comprehensive scholarship from Bilkent University
Fellowship.ai, Machine Learning Engineer
· I developed demand forecasting model for multi-objective price optimization problem. Created optimality assessment metrics for the program. Used statistical tools to identify confidence intervals for prices.
Aigoritma, Machine Learning Engineer Intern
· I worked with time series forecasting. Performed data cleaning, EDA, feature engineering. Built high
performance models using gradient boosting.
Destec Group LLC, Database Engineer Intern
· Worked with MSSQL to build and deploy necessary storage components for restaurant management
system (LOGIX). Wrote SQL queries for interactive system.
I want to work in a company that offers a friendly team, a potential for professional growth and a multidisciplinary environment. My main aspiration is to become an expert in machine learning so I often prefer a related role. I can offer a high quality service and I always correct my mistakes given adequate feedback.
Position: Middle Data Scientist
Category: Data Science
Experience: 2 years | English: upper

Had practiced in Kaggle competitions(CV and supervised learning). 
Made customer reviews clusterization while working as Data Analyst. 
Had been into Smart IT Academy, where created 2 apps, from zero to deployment:
1) CV in retail
2) Forecasting products demand
Hi, I am Nick, an enthusiastic sophomore. 
While self-isolating because of the pandemic I spent a lot of time improving my data science and machine learning skills. 
Complete many training tasks using Supervised and Unsupervised Learning. 

Have experience working as a Data Analyst and intern ML Engineer. Took many machine learning and Deep Learning courses. 

While internships worked from start to deployment on projects:
1) Sentiment analysis of customer reviews
2) Digitalisation of price lists for retail
3) Forecasting products demand
Seeking to apply my theoretical knowledge and be useful for IT company. Ready to follow any directions.
Position: Middle Data Scientist
Category: Data Science
Experience: 2 years | English: fluent


Hi. My name is Farid and I am currently 3rd year Computer Science student at ADA University. I am Google Certified TensorFlow developer with two years of experience in Data Science. Originally during my first year of study I have started as Python programming instructor then after learning fundamental concepts of statistics, machine learning and data processing I have started working as part time Research Assistant doing research on anomaly detection for multivariate time-series data.
Position: Middle Data Scientist
Category: Data Science
Experience: 2 years | English: upper

- Development of production-ready CPM prediction model (including architecture idea, data gathering, data preparation, evaluation and automatic retrain pipeline)
- Improvement of CTR / EPC classification models (feature engineering and retrain optimization)
- Improvement of the spam comments classification model by designing new features and evaluating their impact
- Customer base segmentation using cluster analysis
- Image similarity research (using classical hash functions and neural networks)
- Certificates in Deep Learning, Recommender Systems, and NLP.
I am a Data Scientist with 2 years of experience as a DS and 7 years of overall analytical experience. Key responsibilities: modeling, feature engineering, data preparation, data analysis, documenting, and communication with the stakeholders and tech team.

Job experience:

Apr 2022 - Present:
Data Scientist
- Creation of production-ready CPM prediction models (regression problem)
- Improvement of existing models for CTR / EPC prediction (classification problems)
- A/B testing new models to reveal the best solution
- Research and implementation of different approaches to solving customers' problems.

Stack: 
Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, CatBoost, Tensorflow, Keras, Shap, Requests, Amazon S3, Vertica, Tableau, Gitlab, Jupyter Notebook, PyCharm, MLFlow.

May 2021 - Mar 2022
Data Scientist, Rozetka.ua
- Classification of spam comments (using XGBoost)
- Customer base segmentation (using cluster analysis)
- Research on the similarity of images
- Analysis of user behavior.

Stack: 
Python 3.8, Pandas, Matplotlib, Seaborn, Scikit-learn, XGBoost, Featuretools, PySpark, Imghash, GCP, Clickhouse, Git, Jupyter Notebook, PyCharm.

Jun 2020 - May 2021 
Data Analyst, Rozetka.ua
- Development of reports for the BI system
- Analysis of the company’s KPIs
- Creating business requirements for tech specialists to organize and tune ETL processes.

Stack: 
ClickHouse DB, ReDash visualizer.

May 2008 - Oct 2012 
Data Analyst, Vodafone Ukraine
- Micro-segmentation of the customers base (cluster analysis)
- Assessment of the impact of changes in charging and service on the user behavior
- Automation of marketing campaigns launch (SQL scripts for Big Data)
 
Stack: 
SAS, MS SQL, MS Excel, pivot tables.
- Career growth opportunities in the area of Data Science / Machine Learning
- Dedicated time for learning new ML technologies
- Friendly team
- Remote job.
Position: Middle Data Scientist
Category: Data Science
Experience: 3 years | English: fluent


I am a Google certified TensorFlow developer and SAS certified AI & ML professional with 2.5+ years of experience. Proficient in predictive
modelling, data preprocessing/visualization, deep learning algorithms, as well as programming languages, including Python & R.
Currently, I am working as a data science researcher at eiLink R&D.
- Machine Learning, Deep Learning;
- interesting tasks/cases;
- work with experienced DS/ML team;
- self-development;
- working for the company with morals and values.