lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Senior Data Engineer / Scientist
Category: Data Science
Experience: 5 years | English: upper

Designed and implemented data lake with S3, Python, Airflow, and Athena.
Designed a fully automated ad account management system.
Productized AI-based microservices.
Scaled Airflow for ETLs with K8S.
I am Python Data Engineer with 5+ years of working experience,
strong mathematical, algorithmic and Data Science background,
5 years of experience in AdTech domain, ability and passion to learn and addiction to solving complex non-trivial tasks.

My primary stack is Python (+celery, FastAPI, Airflow), AWS (S3, EC2, Athena, SQS), Postgres, MongoDB, ELK, Docker, K8S, Terraform, Jenkins.

My latest major projects were: data lake design & implementation; data collection from multiple sources and processing it to unified report; scaling Airflow for ETLs with K8S;
designing Elasticsearch schema and performance testing; productization of AI-based microservices; leading R&D projects aiming to optimize product performance.

I love optimization, math, and algorithms, so I'd like to work with big data where O-large complexity is extremely important.
Join the team of highly skilled professionals, work with big data and ideally develop AI on top of it
Position: Senior Data Engineer | Senior BI developer
Category: Data Engineer
Experience: 6 years | English: fluent


Senior Data Engineer with 6+ years of experience in developing Business Intelligence as well as Big Data Solutions in various data stacks, such as SQL Server Data Stack (T-SQL/SSIS/SSRS/SSAS).  Extensive experience in different programming languages such as Python and C# and monitoring tools such as Apache Airflow. Hands-on experience in Report development using MS Power BI and SSRS. Strong hands-on experience in developing solutions using both on-premise tools and cloud technologies, such as MS Azure Stack (ADF, ADLS Gen2, Azure Synapse, Azure Databricks) as well as Snowflake & dbt (data build tool).
Position: Senior Data Engineer, Senior Big Data Engineer
Category: Scala
Experience: 11 years | English: fluent


Scala 4 years, Spark, 3.5 years
Java, 10.5 years, Reactive programming (Akka Streams and RxJs), 3 years
Kafka, 3 years, Cassandra, 2 years
Kubernetes, 2 years, Docker, 3 years
Azure 2 years, incl. Data Lake, Event Hubs, Data Factory
GCP 1 year, incl. Storage, BigQuery, DataProc and DataFlow
Prometheus, Kibana and Grafana, 2 years
Design and develop high-load/big data systems
Position: Senior data engineer, Team lead
Category: Data Engineer
Experience: 9 years | English: upper

I managed to create from the scratch an analytic system in a big international company. It is still successfully working and developing there.
Currently I am working with such technologies as Amazon services, Databricks, Apache airflow, Delta lake. This year I was working on migration company's DWH to the cloud. Also as a team we  participated on moving big Ukrainian bank to big data solution.
Position: Senior Data Enginieer
Category: Data Engineer
Experience: 10 years | English: intermediate


Data architect, Senior Oracle Business Intelligence Officer
PASHA Bank OJSC
Apr 2017 - Present (5 years 11 months)
Oracle BI , Oracle Data Integrator , ERWIN
• Responsible for data modeling and transferring the data to the DWH accordingly.
• Administration and developing on Oracle BI
• Data modeling and ETL flow control of DWH using Oracle Data Integrator
• Development of ETL flows, BI statistic and analytic reports using OBIEE
• To ensure that the data models are up-to-date by the version control systems.
• To manage batch systems for continuous and correct data from Data Warehouse.
• To manage the reporting/analytic platforms to make sure the databases feeding the analytical
applications and platforms are up-to-date and complete.
• To ensure the security of data flows between various platforms and systems.
• To provide reporting, analytics, data exploration and information delivery (portals, mobile)
Software Developer
Unibank
Jan 2015 - Mar 2017 (2 years 3 months)
Data warehouse Reporting,PL-SQL ,C# programming.
ORACLE BI ,TIBCO ,SQL SERVER REPORTING SERVICES
Yapi Kredi Bank Azerbaijan Software Developer
Yapi Kredi Bank Azerbaijan
May 2014 - Jan 2015 (9 months)
C# PL-SQL programming
Department of Information Technology Programmer
TuranBank OJSC
Oct 2011 - May 2014 (2 years 8 months)
Programming,Oracle Administration,Data warehouse Reporting
Position: Senior Data  Enginner
Category: Data Engineer
Experience: 11 years | English: fluent


Intensively experienced large-scale hybrid transactional/analytical processing systems (10+Years)
 Intensively experienced RDBMS, Document Store Databases and Columnar Databases (+10 Years)
 Oracle RDBMS, SQL, PL/SQL tuning, optimization, and RDBMS architecture. (10+ Years)
 PostgreSQL, MongoDB, NOSQL, Presto, PySpark, Apache Spark, Hadoop, HiveQL and Clickhouse DB (5+)
 Python, Pandas, simple-salesforce, Pandera ETL ELT, Data Pipeline (5+ Years).
 Amazon Cloud experience (Redshift, Glue, RDS, Athena, Lambda, S3 Storage) ,
Google Cloud (Big Query, Pub/Sub) and Microsoft Azure Experience (Azure SQL Data Factory) (3+ Years)
 Intensively experienced Business Intelligence Tools, MS Power BI, Oracle BI, ODI, Tableau (10+ Year)
 Experience with Avro, Parquet, gRPC, JSON, HDFS. (5+ Years)
 Experience with OOP .Net C#, ORM, Redis, JavaScript, NodeJS, MoongooseJS, CI pipelines, Rest API (10+)
Position: Senior Data/Lead Researcher
Category: Lead Generation
Experience: 5 years | English: upper

Managed 4 projects at once (usually Senior Data Researcher in my past company managed only 2 projects)
Often received bonuses for my perfomance and repeatedly was the top performer of the month.
Usually worked on very complex projects and dealt with them perfectly.
Researched contact information for sales leads. Provided quality market research for clients. Adjusted ICP and made it more effective for lead generation results. Worked closely with many SDR teams. 
Worked with various online tools and databases to enrich leads.
Compiled,verified accuracy,and sorted information according to priorities to prepare source data for computer entry. 
Managed 4 projects at once,dealt with huge amount of data,communicated with teams to ensure that all necessary data provided to them in time,adapted research parameters to get more accurate data.
Vaste experience in projects related to Pharmaceutical,Banking,IT,Law Enforcement,Retail and Marketing industries. 
Worked on USA,Canada,Europe,MEA and APAC markets.
Position: Senior Data/Machine Learning Scientist
Category: Data Science
Experience: 11 years | English: fluent

I'm a versatile scientist and engineer with extensive experience in data analytics, data science, research, ml engineering. Throughout my experience I have performed a variety of R&D, data science, engineering, and leadership roles in different areas such as NLP, time series and recommender systems. 

•	10+ years of professional experience in the IT industry; 
•	Experience in Machine learning and Deep learning (Time series, NLP, recommender systems); 
•	Strong problem-solving skills; 
•	Strong organisational and communication skills;
Python, Java, Scala
Numpy, Pandas, Scikit Learn, Tensorflow, Pytorch
Experience in modeling time series data using traditional, machine learning and deep learning techniques (ARMA models, feature engineering RNN and other deep architectures)
Experience building NLP and recommender systems. 
Practical and theoretical knowledge in machine learning and deep learning 
Experience in Tensorflow, Keras and Pytorch 
Experience in big data related technologies like Apache Spark, Kafka, Hadoop
Experience working with various databases like PostgreSQL, Cassandra, MongoDB, Amazon Redshift, Hive, Presto
Looking for Data Scientist/Machine learning/Applied Research engineer role in a company that values both exploration of new methodologies and delivery of the product to the end user.
Position: Senior Data QA Engineer
Category: QA
Experience: 4 years | English: upper


First company - fintech. Working with big data (a lot of SQL)

Second - desktop application (IDE for databases).

Third - healthcare. Working with medical and financial bigdata (web/databases)

Now I am looking for a new opportunity. It would be nice if you want to hunt me on project with web technologies and some types of autotests :)
Selenium webdriver with any programming language
Position: Senior Data QA Engineer
Category: QA
Experience: 9 years | English: intermediate

ISTQB® Certified Tester, Foundation Level.

Have many successful releases with passed UAT without high and critical defects and released to Production.

Technical leading team up to 6 QA Engineer on test preparations and test execution processes.

Knowledge transfer sessions to newcomers and other teams.

Have strong knowledge of testing processes and defect tracking.
Knowledge of test design techniques, testing approaches, principles and methodologies.

Have strong analytical skills gives ability to work with technical documentations (Business & Functional & System requirements, Design Specifications and System Architectures).
Professional certified QA engeneer with 9+ years of work experience in software development.

Specific of projects:
Retail - Azure and BigQuery DWH;
Medicine - desktop application;
Bank's financial, risk and regulatory reporting - oracle Data Base, front-end, MycroStrategy reporting tool;
Audit and Consulting - SAP HANA Data Base, front-end, Tableau and Analysis for Office(AO) reporting tool.

Azure, BigQuery, Oracle, SAP Hana, MS SQL, PL/SQL, ETL, Manual Testing (QA), Regression, System, Integration, Data Base testing, Desktop, Web and other testing stuff.
Methodologies: Waterfall, Agile, Scrum, Kanban, Rup;
Looking for a long term position at QA Department in the leading IT company which:
- Is aiming only for the best result;
- Have a motivated and professional management;
- Have friendly and professional employees.
Position: senior data scientist
Category: Data Science
Experience: 6 years | English: fluent

Modelling of algorithm for image recognition of satellite images, retail analytics projects
python - 6 years of commercial experience. Computer Vision and classical Machine learning modelling 6 years of experience.
New technologies and experience
Position: Senior data scientist
Category: Data Science
Experience: 5 years | English: upper

- As data analyst played major role in evaluation of collection prediction and antifraud  models during its' creation and improvement. Communicated findings and insights through visualizations & reports in order to show system drawbacks and improvements once fixed. Technologies: Jupyter notebook, python, matplotlib, seaborn, bokeh, pandas, numpy, etc.

- As a data scientist crunched collection  prediction  and antifraud  problems  for major ukrainian  bank . Technologies: python, pandas, Random  Forest, Balanced  Rf, Jupyter notebook, power bi etc.
July 2020 - , Senior Data Scientist, FUIB, Kyiv, hybrid (full-time)
Participated/led in number of complex data science end-to-end projects (Tech Lead, Senior DS) and actively contributed 
to building mature processes in a DS team
 from scratch created «antifraud-acquiring» ML system that detects and prevents miscoding activity in FUIB’s 
merchants
 developed ML system that recommends foreign currency exchange rates for Bank’s branches in order to 
maximize profit 
 developed UEBA (User and Entity Behavior Analytic) ML based system for identifying the abnormal behavior 
patterns of users and entities (e.g., hosts, applications, network traffic, and data repositories) within Bank’s 
corporate network
 contributed to DS team processes improvement
 close communication with business and different engineering units
Technologies: Python , Pandas, Polars, scipy(ARIMA, SARIMAX), pyGAM, Panel, FastAPI, Docker,SQL PowerBI
Nov 2019 - July 2020, Middle Data Scientist, FUIB, Kyiv (full-time)
Developed number of «security-based» ML systems
 developed 3 ML-based AML (anti money laundering) systems that help identify suspicious account activity and 
provide better support to the AML team for different customers segments(individual, private & legal entities)
 antifraud (drop prediction) - predict money mule profiles within customer base
 collection scoring ML system - predict customer payments overdue 
Technologies: Python 3, Pandas, Docker,SQL PowerBI
Dec 2017 – Nov 2019, Analyst/BI developer,FUIB, Kyiv (full-time)
 manual identification, analysis, and interpretation of patterns in data
 communication of insights to management and other teams
 automation and optimization reporting
Technologies: Python, PostgreSQL, T-SQL, SQL Server, Power BI
Dec 2011– Dec 2017, Senior data manager,Raif, Kyiv (full-time)
 preparation of regular Division reports (monthly / quarterly / annual)
 preparation of Division reports for Head Office (Vienna) on recovery results
 preparation of management reports/presentations for Head of WO division 
Technologies: Python, PostgreSQL, T-SQL, SQL Server, Power BI, MS Excel, MS PowerPoint
Position: Senior Data scientist
Category: Data Science
Experience: 7 years | English: fluent

- PhD in Applied Statistics 
- 6 years of experience
- Elaboration and development of intelligent solutions based on state-of-the-art approaches for various sectors:
     - Official Statistics 
     - Energy consumption
     - Legislative
     - Finance
Latest Experience:
1. Illimity, Milano, Italy  — Data Science and Modeling Senior Specialist:
- Analysis and inference of credit data of medium and large enterprises. 
- Elaboration of internal ML/AI solution to corporate credit rating scoring
- Estimation, analysis, and stressing of corporate credit rating transition matrices

R, Python, Azure DevOps

2. Politecnico di Milano, Italy  — Doctoral Researcher:
- Development of a framework for the analysis of spatial autocorrelation of complex data. Detection of zones of local instability within large composite domains (e.g. Italian comunes)
- Hypothesis testing with complex objects such as curves or histograms
- Analysis and inference of sediment transport movement (e.g. pre-Alpine stream) 
- Results interactive visualization and presentation to cross-departmental teams (shiny)  

R, Shiny, Python,

3. Innovizo, Washington D.C., USA — Data Scientist:
- Statistical analysis and predictive modeling of energy demand and consumption of US end-users’ with R & Python (XGBoost, Keras)
- Analysis and visualization of common patterns and outliers in end-users' energy consumption behavior (tidyverse, plotly, Tableau)
- Interactive web applications development (shiny)
- Projects workflow preparation and documentation
- Presentation of the results to and collaboration with Client’s Senior Management

4. Better Regulation Delivery Office (BRDO), Kyiv, Ukraine — Data Analyst:
- Legal documents (Laws of Ukraine) scrapping, manipulation  analysis with R & Python
- Analysis and visualization of 25 years of legislative activity in Ukraine with R (plotly)
- Elaboration of interactive dashboards for results delivery (PowerBI, Tableau)
Position: Senior Data scientist
Category: Data Science
Experience: 6 years | English: upper

- Participated in Kaggle training competition (House Prices -- Advanced Regression Techniques), reached top 1% percent among participants.
- Certified AWS specialist (AWS Certified Machine Learning – Specialty)
- Certified Microsoft Azure specialist (Microsoft Certified: Azure Data Scientist Associate)
- Helped students to become a full-fledged junior and middle data scientists
- Machine Learning methods researching, analyzing advantages and drawbacks for the particular business problem.
- Implementing own machine learning model that solves specific business-problem 
- Developed and collected business requirements for client’s system that includes ML algorithms (Use Case: Recommendation Engine)
- Analyzed potential churn drivers / churn stoppers and proposed customer some marketing
strategies to prevent churn (Use Case: Churn Management)
- Experience in NLP domain, such as language modelling, NER/POS tagging, Neural Translation (PoC)
 - Experience with creating meaningful dashboards via Power BI
 - Strong engineering experience with dealing datasets, that doesn’t fit into the RAM. Preprocessing and model training
Is looking forward to growing as a professional, gaining live practical experience, transform theoretical research immediately to tangible results. Is looking for a lot of practical experience that will help me to grow as an NLP specialist (although I'm also fond of Core DS tasks)
Position: Senior Data Scientist
Category: Data Science
Experience: 11 years | English: fluent


12+ years of professional expertise in the IT industry specializing in BI, Big Data, and Data Science(5+ years).
Strong ML modeling skills, including Regression, Classification, Clustering, Dimensionality Reduction, and NLP models (BERT, transformers, SpaCy).
Experienced in Python (Pandas, NumPy, SciPy, scikit-learn, Spark MLlib, Keras, PySpark), R, SQL, some Scala.
Experience in Big Data projects (Hadoop, Spark, Databricks).
Committed, highly organized, punctual, self-motivated, creative, and paying attention to details.
Tried to stay up to date with the latest trends in my occupation and always eager to learn something new. 
Experience with international projects and work in multicultural environments.
Position: Senior Data Scientist
Category: Data Science
Experience: 4 years | English: fluent

Worked on multiple projects ranging from Customer Behaviour Analysis, Speech Recognition Industry to Revenue Management Industry where Machine Learning techniques have been applied.
Published four scientific papers on machine learning and its applications, presented across three conferences:
Recognition of Azerbaijani Phonemes Using Machine Learning (2022)
Counting Objects for Traffic Surveillance Systems (2020)
Anomaly Detection in Air Handling Units (2021)
Achieved IELTS score of 7.5 (2021)
Machine Learning Specialist (2020)
Represented Azerbaijan as a finalist in the World Robot Olympiad in Hungary (03/2019 - 10/2019)
Received a gold medal for special achievements in education from the Ministry of Education of Azerbaijan Republic (07/2017)
Scored 690 out of 700 in university admission exam (04/2017)
Awarded a Presidential Scholarship by the Ministry of Education of Azerbaijan Republic (09/2017)
As a Senior Data Scientist, I bring extensive expertise in Python, PySpark, Azure, R, SQL, and various machine learning and deep learning methodologies. I have a proven track record of building ETL pipelines, advanced data models, and automating processes to drive data-driven decisions and business value. My comprehensive skill set ensures meaningful insights and impactful solutions for any organization.
As a Senior Data Scientist, I seek challenging projects that utilize my skill and various machine learning techniques. I am excited to collaborate with cross-functional teams, share my expertise, and learn from others. My goal is to work in a role that allows for growth and impact, while avoiding monotonous tasks.
Position: Senior Data Scientist
Category: Data Science
Experience: 3 years | English: upper


Currently I'm a Senior Data Scientist at Ukrainian company and working on projects of global mobility FinTech startup company.
Using Python as the main programming language from 2020. I'm always eager and willing to develop my Data Science and ML knowledge.
I want to join the team with different challenging AI projects. I opt to educate and learn from team members - with various levels of experience. Zero bureaucracy is crucial. Startup ecosystem and mindset are preferred. I prefer remote and relocation provided jobs.
Position: Senior Data Scientist
Category: Data Science
Experience: 6 years | English: intermediate


Data Science engineer with good software development skills and practical experience in leading and management.

Have strong deep learning/machine learning knowledge and server-side web development/deployment experience. Worked with PyTorch, TensorFlow, Keras frameworks, and general ML libraries – scikit-learn, scipy, pandas, openCV, xgboost, NLTK, SpaCy, etc. 

Knowledgeable in web development, deployment, and cloud-technologies usages (AWS/GCP). Experienced in data engineering (ELK stack).

Have practical experience in mentoring, team leading, requirements collection, project management, change management, and expertise in analyzing and altering processes to ensure efciency.
Most interested in Data Science projects, additions of Data Engineering and/or Python development would be happily accepted.
Open to positions with responsibilities in mentoring, team leading, project management and pre-sale process, as well as client interaction.

Projects without DS or with little DS work are not relevant.
Position: Senior Data Scientist
Category: Data Science
Experience: 3 years | English: fluent

Student of School 21(franchise Ecole 42)
Student of Bauman Moscow State Technical University
DATA SCIENTIST
Delivery Club, Mail.ru Group, Moscow, Russia
• Worked on demand prediction for No1 food delivery service in Russia.
• Independently developed a model for restaurant cold start to prioritize contract
signing. As a result, reduced signing process from 2 weeks to 3 days.
• Delivered data-driven approach for expanding to new regions and cities with the
use of GeoAnalysis and Machine Learning. Number of operating cities increased
from 90 to 160.
• Created recommendation algorithm for new dark stores locations, increasing their
share from 4% to 15%.
• Built courier churn model for automated payment schemes, decreasing ChurnRate
from 15% to 7% without additional costs.
• Implemented baseline for Supply-Demand balance on delivery platform,
decreasing FailRate from 20% to 10% during high demand hours.
• Technologies: Python, H3, SQL, Clickhouse, Hadoop, Hive, Jenkins

Scorista, Moscow, Russia
• Worked on models for predicting failure of microloan payment using linear models.
• Developed automatic solution for multiple models ensembeling and validation, reduced DefaultRate by 3%
• Built credit Default prediction model for launching in new country – Vietnam
• Technologies: Python, PostrgeSQL, Docker.
Interesting projects and great team. Ready for self-development