lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Scientist,Computer Vision
Category: Data Science
Experience: 1 years | English: pre

Certifications 
-Machine Learning with Python|IBM Digital 
Badge(Coursera)
-Machine Learning(Coursera)
-English Preparatory Program (Pearson) 
I received this internationally recognized certificate 
for successfully passing the preparatory class.
-Machine Learning with Python(BTK Academy) 
-Python and Tensorflow for Data Science(BTK Academy)
-Microsoft Excel Fundamentals(BTK Academy) 
-Introduction to Basic Electronic and Robotics(BTK Academy)
-Introduction to Game Development with Unity(BTK Academy)

BTK Academy = It is a education center that aims to 
convey the current knowledge of the technology 
world to the public with online education and 
certificate programs.

Hobbies 
I've been playing baglama for 6 
years.(Baglama=Traditional Turkish Musical Instrument) 
Playing Pc Games (FIFA,CS:GO,SQUAD etc.)
I am a 2nd year student of Electrical and Electronics Engineering at Gaziantep University.I have been dealing with software for about 3.5 years.My first encounter with software was with the idea of what is Data Science and Artificial Intelligence, and I got an idea by reading videos and blog posts about this subject.After this process, my interest in software increased even more and I received online educations on other areas of software such as mobile application development with the Kotlin programming language and cyber security.Later, due to my passion for games,I learned c# programming language and developed many game prototypes with Unity for 1.5 years and published a game in this 1.5 year.After this game development adventure and after I started the main courses at the university,I turned to Data Science and Artificial Intelligence side, which was my main interest. 

In the field of Data Science and Artificial Intelligence,I have been learning Python programming language, 
machine learning and deep learning algorithms and computer vision for 2 years and I have developed and continue to develop many projects in this field (you can access these projects from my github link above).

-Work Experience-
 Network Manager(October 2022-Now)
I am working as a part-time student in the IT Department of Gaziantep University in the field of Network Management and Device/Cable Management.

-Volunteer Works- 

Computer Vision Developer 
In order to gain experience in the Holding Robot 
project, which is the graduation project of the 4th 
graders, our department teacher included me to the project and I contributed to this project in the computer vision part. 

Book Voiceover 
I made a book dubbing for the blind people in the 
project "We Become the Voice of Books",which is 
provided by our university
I don't know SQL very well, so I think I'm incompetent about it.
Position: Data Scientist (Computer Vision and Machine Learning)
Category: Data Science
Experience: 11 years | English: upper

Developed model training and inference pipelines for object detection and object classification for 50+ classes within one month independently.
I'm first who is built Tensorflow Serving from binaries for running models on ARM64 architecture devices.
Hackathon winner with Visual AI assistant project.
Main projects from 4 years of experience in Data Science:
• Managed 2-person team and built MVP for road traffic analytics with Nvidia DeepStream, data streamer RabbitMQ and analytics in Grafana automated with Helm charts.
• Developed Machine Learning pipeline to detect items on shelves and classify them using PyTorch and OpenCV.
• Developed person detection and multi-stream camera tracking system with Tensorflow and OpenCV.
• Implemented federated learning approach in multi-location environment with PySyft.
• Built distributed inference server based on Tensorflow Serving and Kubernetes on ARM64 architecture.

6+ years in SQL and BI:
• Developed new reports and dashboards with JasperReports, Tableau, Grafana according to business requests.
• Analyzed business data and create mockups for new dashboards.
• Optimized existing report queries.
• Created views and materialized views in PostgreSQL and MySQL.
• Developed functions and procedures in Oracle DB.
I don't work with people who support Ukrainian genocide.
Don't want to work with tabular data and NLP.

I want to continue my way in Computer Vision, and I'm interested in MLOps. 
Would be great to work in a highly skilled team.
Position: Data Scientist / Computer Vision Engineer
Category: Data Science
Experience: 3 years | English: upper

Master of Science (diploma with honors) – Computer Science
(Information analytics and Influences), Taras Shevchenko National
University of Kyiv, Faculty of Information Technology
Research published in MODS 2021: Using image segmentation neural network model for motion representation in sport analytics
Skilled machine learning engineer with experience mainly in computer vision field. I have experience in such cv tasks as: Image Classification, Object Detection and Segmentation, Face Recognition, Pose Estimation, Video Action Recognition, Image Similarity. Also worked with tabular data, have basic knowledge of time series analysis and nlp.
I am searching for  Data Science/ Machine Learning jobs. Ideally, I prefer to deal with Computer Vision tasks.
Position: Data Scientist, Computer Vision Engineer
Category: Data Science
Experience: 3 years | English: fluent

- Numerous awards for math olympiads (2 place on country level 2015, Minor Academy of Sciences of Ukraine)
- 2nd Place on Goverment's Data Hackathon 2019
- Unique experience working with an innovative 3D tablet where standard approaches fail
3+ years of experience in Data Science, mostly Computer Vision. The last job position was Middle Computer Vision engineer. My goal is to create valuable products for the business. (And to become senior ofc :) ) Here are brief descriptions of projects:

Data Scientist (uData Tech, 12/2018 - 10/2019):
- Building an analytics tool and a model on the Tabular&Text data from prozzoro
platform (government's data) to predict tender success. (role: Team Lead) (Pandas, MySQL, non-NN machine learning algorithms (binary classification))

- Building a mobile application that allows customers to see free nearby parking spots. The solution is based on security cameras (Computer Vision). (role: Team Lead) (OpenCV, YOLO)

- Novel video editing approach: the purpose of the project was to create a text-based
editing approach for talking-head videos (Computer Vision). (role: Team Lead) (OpenCV, CNNs)

Computer Vision engineer (Zpoken AI, 01/2020 - 09/2020)
- Semantic segmentation for automating robot`s tasks. Convolutional neural networks
(Computer Vision). Solo project from scratch: from identifying problem and
gathering dataset to delivery. Full communication with client. (PyTorch, docker, OpenCV, full pipeline creation)

Data Science Mentor/Consultant (Brainware, 09/2020 - 09/2021):
- Delivering data science for beginners course to employees. Creating starting educational platform for the company. Communication with students, lecturers and founders.

Computer Vision Engineer (Leia Inc, 07/2021 - 01/2022):
- Building a model to predict depth map from single image. (Computer Vision) (3D technologies, working with unique innovative 3D screen&device, CloudTraining, 1TB+ datasets, OpenCV, pytorch, Hydra)
- Optimizing a unique set of parameters for the best possible image display. (lots of manual work and unexpected solutions)
Position: Data Scientist, CV Engineer, NLP Engineer, ML Engineer
Category: Data Science
Experience: 2.5 years | English: upper

I am Google Cloud Certified Professional Machine Learning Engineer. I have a PhD degree.
Graduated from the Faculty of Computer Technologies
and Power Engineering at State Biotechnological University. 
IT courses:
1. ML Engineering for Production (MLOps) on Coursera (by DeepLearning.AI, in progress)
2. Python for Computer Vision with OpenCV and Deep Learning
3. dlcourse.ai (by OpenDataScience)
4. cs231n (by Stanford University)
5. mlcourse.ai (by OpenDataScience)
6. Machine Learning (by Stanford University, certificate)
I am Google Cloud Certified Professional Machine Learning Engineer. I have an academic background (PhD degree) that provides a deep understanding of  the mathematical basis of classical Machine Learning and Deep Learning algorithms (Computer Vision, NLP). I also have extensive experience in processing various types of data and extracting conclusions based on the methods of mathematical statistics, probability theory, fuzzy set theory, optimization theory, etc. 

I have worked on a number of ML and DL projects, including:
CV:
App for conversation 2D images to 3D models
(PyTorch (Deep Learning part), OpenCV, Blender3D)
Video stream face detection system (OpenCV,
single-short detector)
Object detection and recognition system (OpenCV)
Face recognition system (OpenCV, FaceNet)
Deep Learning based system for binary
classification of images (PyTorch, transfer learning)
NLP:
Нierarchical text classification system (PyTorch,
contrastive learning, graph encoding)
System for text processing (PyTorch,
BidirectionalLSTM, word2vec)
Spam filter system (MATLAB SCL)
ML:
Speech generation system (PyTorch, voice
convertion)
Deep Learning based service for forecast of solar
radiation (PyTorch, Pandas, NumPy, Ray Tune,
Matplotlib, REST API)
Credit scoring system (ScikitLearn, Pandas, NumPy)
Anomaly detection system (MATLAB SCL)
Recommender system (MATLAB SCL)

My general Data Science skills: experience of scientific research and their application in practice, linear algebra, statistics and probability theory, fuzzy set theory, etc.

Methods and algorithms of classical ML: Pandas, NumPy, ScikitLearn, SciPy , etc.

Deep Learning stack - PyTorch, Tensorflow, Keras, Neural Network architectures and approaches (CNN, LSTM, others),  CV architectures and  algorithms, NLP algorithms (BERT, GPT-3) 

General engineering skills: GoogleCloud, Docker, PostgreSQL, Github, Linux, Couchbase
I would like to work in an open team where you can develop and gain experience from each other
Position: Data Scientist, Data Analist
Category: SQL
Experience: 0.5 years | English: upper


Freelance| Data processing 
October 2022 –
- Analyzing and proceessing data given by the customer;
- Cleaning and preprocessing data to ensure accuracy;
- Creating visualizations and reports to communicate findings and insights
Skills:
MS Excel, Python, Numpy, Pandas, MySQL, Statsmodels, SK-Learn (SciKit Learn)

Maintenance documentatoin editor 
February 2020 – November 2021
ProgressTech Ukraine | Kyiv, Ukraine

- Analyzing, creating, and editing official maintenance documentation for Boeing aircraft
for airport technicians and pilots worldwide;
- Postproduction Boeing documentation analysis and editing databases of Illustrated
Part Catalog;
- Searching, analyzing, and editing the Aircraft Maintenance Manual and Fault Isolation
Manual under the claims of the customer or manufacturer in the proprietary Boeing
software environment.
Skills:
Data analyzing, Data processing, MS Excel, Proprietar Boeing Software

Test Engineer/ Design Engineer
September 2017 – February 2020
Arsenal Special Device Production State Enterprise | Kyiv, Ukraine

- Analysis and interpretation of MANPADS test results for further adjustment and
extension of the service term;
- Testing of high-performance MANPADS Igla;
Creation of technical documentation, adjustment, and Conversion of target-seeking device drafts into 3D models and assemblies via Kompas
3D and editing of non-secret design documentation and drawings for the anti-aircraft
missile following the GOST standards system.
Skills:
MS Excel, Python, Numpy, Pandas
Position: Data Scientist, Data Analysis
Category: Data Science
Experience: 0 years | English: intermediate

Bachelor's degree in Applied Mathematics.
I received a bachelor's degree in Applied Mathematics. Unfortunately, I have not yet had the opportunity to gain experience working with real projects, but for educational purposes I have carried out small projects related to Python programming, data analysis using ML, creating a small SQL database and solving statistical problems. Also, during the training period, I developed such skills as patience, the ability to work in a team, to learn quickly and to look at a problem from different angles in order to find the best solution.
I am looking for a place to start and develop my skills. I want to join a team that is willing to help a beginner get started in the field of data science. I look forward to participating in projects in which I can contribute and which will help me learn tools for my development as a specialist.
Position: Data scientist / data analyst
Category: Data Science
Experience: 2 years | English: upper


I have about two years of experience in data analytics and data science in the travel industry and Nestle. As data analyst I work with Python, SQL, Power BI, Excel. 

Also have experience with both supervised and unsupervised learning. I have solved many regression and classification problemsby using such ML methods as linear and logistic regression, decision trees, random forest, SVM, KNN, Bayes classifier, and ensemble methods. I also have real world experience in unsupervised learning. I have worked with clustering methods such as KMeans, DBScan, Mean Shift, and others.
Position: Data scientist / Data analyst
Category: Business Analyst
Experience: 0 years | English: intermediate

Specialist’s degree, Qualification - Mathematician (aplied mathematics) (National Technical University of Ukraine "Kyiv Polytechnic Institute", Faculty of Aplied Mathematics)
OOP basic knowledge (Java, university projects)

Basic SQL knowledge

Understanding of following chapters of aplied mathematics:

- calculus;
- differential equations;
- linear algebra;
- probability theory and statistics;
- numerical methods;
- theory of stochastic processes;
- optimization methods.
 
Knowledge of MS Office
Professional development. Complicated tasks.
Position: Data scientist/Data analyst
Category: Data Science
Experience: 3 years | English: intermediate

Development of:
- modules that performed import/export/analysis and additional computing of geo-data;
- modules for storing mediadata;
- migrating data.
Have several years of experience of working with different databases. Want to change the area of work to data science. Have passed several courses in this area and have basic knowledge of python/R.

Experience:
Database developer(09.2013 - 06.2017)
Developing business logic and internal database structure, migrating data, performance optimization of queries/scripts (Oracle 11g, 12c, MS SQL Server 2012, SAP HANA). 

Education:
IASA, NTUU "KPI" 
Masters degree in computer science

Courses:
"Data Science on python", Data Science UA, 03.2017
“Data analysis and statistical inference on language R”, Prometheus, 06.2017

Languages:
ukrainian(native)
russian(native)
english(intermediate)
spanish(upper intermediate)
Position: Data scientist, Data Analyst
Category: Data Science
Experience: 7 years | English: upper

Strong math skills, knowledge of trading markets (sports, cryptocurrency), problem solving
reduced chargeback levels from 3% to 2.2%, reducing lost parcels by 10%
Seven years of experience in data science & data analysis in different sectors of business.
Date analysis, Designing and implementing dashboards, alerts, and reports, A/B testing, ML models

Graduated NTUU KPI (physical technical institute) -- applied math.
Passed courses on  Coursera, Datacamp, udemy

Power Bi, Tableau, Data Studio, QuickSight
Docker, git, AWS
rdbms: oracle sql, Mysql, postgreSQl
nosql: DynamoDB, mango DB
python, matlab, C++
python libs: pandas, numpy, scipy, statsmodels, matplotlib, seaborn, scikit-learn, dask, pytorch etc
professional growth
Position: Data Scientist / data analyst
Category: Data Science
Experience: 0 years | English: upper

I have a bachelor's degree in software engineering, and now I am getting a master's degree. I study data science courses at SkillFactory.
I took part in CBSI Europe. It's small web project that mainly used python and django framework. My main task was to help them expand the project by adding new features and changing the database structure.
Position: Data Scientist, data analyst
Category: Data Science
Experience: 3 years | English: intermediate

I have achievements, I can share them privately
• Dynamic pricing algorithms;
• A/B tests;
• DAGs;
• Research;
• Simple reinforcement learning algorithms;
• Production;
• Power BI dashboards;
• Huge amont of data visualisations;
• Communication with a business customer;
• Calculating and getting impact in $ from algorithms;


• Building credit scoring models;
• feature engineering;
• cluster analysis;
• hypothesis testing, extracting insights;
• data correction with intelligent algorithms;
• writing SQL queries and scripts;
Opportunity and need to improve products, create new products. A company and team where most decisions are made based on data. Friendly team.
Position: Data Scientist/data analyst
Category: Data Science
Experience: 11 years | English: fluent

automate many routine tasks
elaborate complex tasks
- years of experience in the banking/risk management domain; 
- data modeling, mapping to enable ingestion process;
- data exploratory analysis, data modeling, quality check, the transformation of data according to requirements, statistical analysis;
- ML algorithms (decision trees, regressions, SVM etc) in risk management: EDA, data preparation, model development (python), optimization, validation etc.;
professional team, 
interesting project,
good remuneration,
remote work
Position: Data Scientist & Data analyst
Category: Data Analyst
Experience: 3 years | English: upper


Dear Hiring Manager,

I am writing to express my strong interest in the entry-level remote data roles available within your organization. After gaining valuable experience in data entry, teaching mathematics, and interning as a Data Governance specialist, I am eager to take the next step in my career and further develop my skills while working on real projects.

My previous experience at the Ministry of Labour and Social Protection of Population of the Republic of Azerbaijan and Celt Colleges has equipped me with a solid foundation in data entry, analysis, and organization. During my time at PASHA Insurance, I honed my skills as a junior Data Governance specialist and actively participated in various projects. Additionally, I have supplemented my knowledge through self-learning initiatives, completing projects, and exploring educational platforms such as YouTube, Udemy, and others.

My technical skills in Python, SQL, Power BI, and Excel, along with my proficiency in utilizing platforms such as Trello, Jira, and Dataiku, have enabled me to effectively analyze and visualize data. Moreover, my strong mathematical and statistical background provides me with a solid foundation for quantitative analysis. I am committed to continuous learning and have demonstrated both dedication and patience when acquiring new skills.

What sets me apart is my enthusiasm for research and the drive to go above and beyond to excel in my field. I am willing to put in extra effort after work hours to expand my knowledge and keep up with the latest developments in the industry. However, I believe that working on real job projects will provide me with invaluable experience and accelerate my professional growth.

I am excited about the opportunity to contribute to your team and take on new challenges. With my strong work ethic, dedication to learning, and ability to work independently, I am confident that I would be a valuable asset to your organization. Thank you for considering my application.

Best regards,

Isa Zeynalov
I'm looking for (data analyst/ scientist or similar them roles) remote jobs for europe/ asia time( I live in Baku)
Position: Data Scientist, Data analyst
Category: Data Science
Experience: 2 years | English: intermediate

Enrolled and got certificates for Data Science
Participating different projects and competition
Problem Solving
Critical Thinking
Comprehensive Analysis
Planning
I am always passionate about technology and analytics, which led me to pursue a Bachelor of Information 
Technologies and Systems. During my education years, I have worked as intern in the field of IT such as computer 
technician, web developer, and got various technical skills which were required. 
I have successfully completed an internship at QSS Analytics as a Data Scientist where I analyzed and prepared 
reports of mentors and trainers for the Board team and got a chance to be a mentor in Bootcamps of QSS Analytics 
by sharing my knowledge with people with great enthusiasm. 
My passion to teaching people Python made me be an Instructor in QSS Analytics. At the same time, I also work at 
Ferrum Capital as Machine Learning Engineer where I supervise the model development, testing and validation of 
all our products and services. Recently, I created successful regression model to predict car prices. Currently I am in 
the middle of preparing commercial chatbots by using RASA NLU technology to reduce operator effort. 
I believe that all my extensive experience in Predictive Analysis, Python, SQL, Machine and Deep Learning Algorithms 
as well as Tableau, Microsoft Excel will have enormous help to your company’s growth.
1. Information about project and company. 
2. Project Duration
Position: Data Scientist/Data analyst
Category: Data Science
Experience: 2 years | English: intermediate


I have 1 year of expririecne as Data Analyst.
Position: Data Scientist/Data analyst
Category: Data Science
Experience: 3 years | English: upper


I have experience mostly in marketing projects and demand forecast

Marketing projects:
- client segmentation
- different models for churn prediction, CLTV, uplift
- A/B testing

Demand forecast:
- feature engineering
- modeling
- analytics

Technologies I use day-to-day:
- Python/R
- Azure
- Spark
- SQL
Position: Data Scientist / Data Analyst
Category: Data Science
Experience: 3 years | English: intermediate


Analysis of psychometric, biological and medical data for the tasks of predicting classification, clustering and anomaly detection.

Process analysis in operations management, evaluation operations performances.

Creating forecasting and classification models for gamedev projects. 

Behavioral analysis, A/B testing.

EDA, data preprocessing, feature engeneering.

Applying of recurrent neural networks and additional tools for pattern recognition.

Data visualisation with R (ggplot2, R Shiny), Python (Matplotlib, Seaborn) and Tableau.
Position: Data Scientist / Data Analyst
Category: Data Science
Experience: 0 years | English: intermediate

I`ve successfully completed Data Visualization course from University of Illinois at Urbana-Champaign. Also I`ve complited 2 Game Theory courses on Coursera from Stanford University
Andrii Yarko

Data scientist/analyst 

Skills:
PowerBI, Pandas, SKlearn, matplotlib
Knowledge of statistical analysis techniques and machine learning algorithms
Python/R, MySQL
A/B testing
English – Intermediate

Experience:
I have experience working with datasets I find on Kaggle. My projects contain the full DS pipeline: EDA, preprocessing, model selection and evaluation. 

Also I have 2 ML courses on Kaggle 

I`ve completed Data Visualization course


Education:

I`m a 4th year student at Kyiv Polytechnic Institute, Faculty of IASA.

July 2023 Intro to ML on Kaggle

July 2023 Intermediate ML on Kaggle

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition by Aurélien Géron

August 2022 Data Visualization course from University of Illinois at Urbana-Champaign on Coursera