lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: fluent


I'm a Data Scientist with 2.5+ years of commercial experience in healthcare and financial domains. During my career, I was working mostly with tabular data, but I'm also passionate about NLP and DL techniques. The experience of working in a fast-growing startup made me a detail-oriented person, I can describe myself as a fast learner as I can easily adapt to changes and new requirements.
I believe that the atmosphere of openness to challenges and willingness to learn something new are the keys for the company`s success.
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: upper

- building, deploying and online scoring for models with Tensorflow
- building models to measure ad impact
I'm a data scientist with 4+ years of experience within several domains, including banking and digital advertising. As a part of Data Science team, I've been working on different kind of projects and solving such tasks as classification and regression using linear models, ensembles and neural nets. I also have some experience with recommender systems, clustering, time series analysis.

As a data scientist, my key responsibilities are:
- collecting and preprocessing data, building and supporting ML models
- building systems to monitor performance statistics
- investigate different approaches to solve problems
I want to grow as a data science specialist by taking challenges and learning new approaches and technologies in this area, and I also want to share the knowledge I already have. I would enjoy working in both, small and big teams, as I love communicating with people in general.
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: upper


I'm a Data Scientist with 5 years of experience. I was responsible for improving marketing campaigns, content and product personalization, customer segmentations, content verification, demand forecasting and drivers analytics using machine learning techniques.
Projects portfolio:
- Valuable Comments Detection
- Optimizing Subscription Service Recommendations 
- Stocks Recommendation
- Signup Probability Prediction
- Segmenting Subscription Services for Targeted Marketing Efforts
- Analyzing the Impact of Article Viewing History on Paywall Conversion Rate
- Stocks Segmentation
- Applying Predictive Analytics to Improve Paywall Conversion Rates
- Quantifying the Impact of Pricing, Promotion, Distribution and Competitors on Sales Performance
- Analyzing Driver Factors and Decomposing Their Impact on Sales Performance
- Demand, Shipments and Sales Forecasting
I have a proven track record of successfully executing end-to-end data science projects. I am excited to continue expanding my knowledge and abilities in the field of deep learning, particularly in advanced model building and deployment. I am seeking a new job opportunity that allows me to utilize my skills and experience in this field while continuing to grow professionally. I am particularly interested in projects that have the data and scope to fully explore the potential of deep learning techniques.
Position: Data Scientist
Category: Python
Experience: 11 years | English: upper


I’m a data scientist with vast experience. In addition to a lot of practical skills in predictive analytics, writing code, and implementation of ML-based services, I have a very good problem-solving background. This means that I can not only solve specifically formulated tasks from A to Z, but also I’m able to find a way to implement your ML idea: choose the right toolkit and form the process flow of the future solution. 

I've started my analytical career in  2009 in the largest Ukrainian bank as a scoring specialist. And later I became the instigator of the revolution in transferring analytical processes to ML-based rails. In 2016 I finished my bank-story as a Head of Data Science Department with approximately 20 employees both line and functional. Since 2017, I work in the form of project employment with various companies (among them Together Networks, Nasctech, and Data Science UA). During this period I had to solve not template problems in various domains.

I will be happy to provide you detailed CV and answer your questions.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: fluent

Completed the course "Data Science Fundamentals" (by DataRoot Labs) in July 2021. Since then I also completed several courses on Kaggle.com, specifically "Pandas", "Data Cleaning" and "Intermediate Machine Learning". I also completed the specialization "Python for everybody" and the course "Python and Statistics for Financial Analysis" on Coursera. Currently, my main domain of study is finance, and I how a good background in financial analysis.
I made a simple personal budget app for my own use. I wrote the script in Python and made a web-scraper for exchange rates data.
I expect to work with different datasets and ETL processes, and learn how to improve them. I also expect to spend lots of time learning and researching to grow in the field fast.
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: upper


I'm a DL Engineer with 4 years of experience and an MS degree in DS.

Languages: Python, C/C++
Frameworks/Libs: PyTorch, TensorFlow, OpenCV, Pandas, SkLearn
Visualization: Matplotlib, Visdom, TensorBoard
Other: Linux, Git, Docker

Projects in Computer Vision:
- a full R&D cycle and deployment of the Automatic Image Crop feature for a popular image editor.
- SOTA improvement for the task of One-Shot Object Detection.
- inference optimization through the implementation of the model's architecture in C/C++.
- various model deployments with Docker, REST API, Azure Ml, Databricks Workflows.

Projects in NLP and others:
- NER, span extraction, and text classification with Transformers.
- Graph building and processing with ML models (regression on nodes).
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper

- Created a chain of 48 franchise shops in Ukraine and abroad. 
- Created instructions and schemes for franchise partners.
- Used Agile principles at leading my team.
- Found foreign potential partners and lead the negotiations for spreading franchise model to the countries of Close East.
I`m a head of franchise department for more than 10 years of experience.
Firstly, I've created and improved franchise business model. Secondly, I've led my team in standardisation all processes.
We've organized support for 48 shops (national and foreign). 
Thirdly, I`ve analized all datas connected to daily activeity of shops and organize a class of finance managenet.
Fourthly, I organized a participation of company at foreign exhibitions (Warsaw, Tallinn).

Nowadays my role is to detect the correct way for spreading franchise model abroad.

I prefer to improve myself at IT sphere, at business analysis and data scienсe particularly.
Position: Data Scientist
Category: Python
Experience: 0 years | English: intermediate


I’m a junior data scientist with basic knowledge of SQL, Python, and Scikit-learn. I’m reorienting to machine learning and data science space from a social media and e-commerce role and am eager to learn, grow, and benefit your business.

My skills:
• SQL
• Python
• Scikit-learn
• Pandas
• Matplotlib
• Numpy
Position: Data Scientist
Category: Data Science
Experience: 11 years | English: pre


I'm a machine learning engineer. I can create, train and deploy models for images and tabular data. My current stack is Python, Pytorch, openCV, albumentations, SQL, GitHub, ml python stack (pandas, numpy, scikit-learn and others)

- I’m currently working as a Deep Learning Scientist/ Machine Learning Engineer. I mainly work with faces and medical images.
- I write tutorials and practical tips on DS and ML, talk about the career, application and training of Data Science on my personal blog
- I’m looking to collaborate on MedTech, AdTech and EduTech projects
- Kaggle Competions Expert (559 highest rank)
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: fluent


I'm an enthusiastic developer, Data Scientist and have a good eye for
UI/UX design. I have developed an interest in the following
areas CSE | Competitive Programming | Django | Python |
Vue | Spring boot. I have resilience towards problems. I
enjoy problem-solving and I'll do whatever it takes. My
career plans are to be an Expert System Designer. I have 5
years of experience in Python development and I have 3
years of experience in Django. #Django #Python
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: fluent


I'm an experienced data analyst with a strong background in SQL, Power BI, and Python. In my previous role as a remote data analyst for a US-based delivery company, I excelled in writing SQL scripts, creating interactive dashboards in Power BI, and automating processes with Python.
I'm proficient in Python's DS/ML libraries, including Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn. I've also worked on web scraping projects using bs4 and selenium. With hands-on experience in data cleaning, manipulation, exploratory data analysis, and model building, I have a solid foundation in data analytics.
Currently, I am contributing my analytical skills in the banking sector as a data analyst. However, I am eagerly seeking new opportunities within the field of data science where I can apply my machine learning expertise to drive meaningful impact and deliver substantial value to organizations.
By combining my technical proficiency, analytical mindset, and passion for data-driven problem-solving, I am confident in my ability to contribute effectively to your organization's data science initiatives. I am excited to embark on new challenges and collaborate with talented professionals to unlock the full potential of data and make informed strategic decisions.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: fluent

In the past, I have participated in some projects (hackathons) in Zindi.africa and worked on some personal development projects. Additionally, I have worked on some projects with my team at devpost.com.
I'm an intermediate and a student still learning data science and analysis with python. I have some experience in excel, tableau and python. I have 1 year experience in the field. I've done some hackathon in the zindi.africa hackathon platform for predicting model, recommendation model, analysis and visualization project.
As I'm still learning, I'd prefer an internship (preferably remote) in any field related to data science, including data analysis, data science, and machine learning.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: fluent

Participated in "INT20H" hackathon, feb 2021. Learned how to work in a group of ML engineers and how to distribute tasks among them.
I’m a student of 3 course of the National Technical University of Ukraine ’Kyiv Polytechnic Institute’ (Faculty of Informatics and Computer Engineering).
I don't have work experience, but I used to make my own pet projects, such as comments sentiment analysis and Image classification skills with convolutional neural networks (using built-in datasets or datasets from Kaggle)
Have a strong experience with basic ML models ( Linear models, Naїve bayes, Decision trees, Ensembles, SVM etc.), data mining, data preprocessing, and dimensionality reduction.
I know not only how to use machine learning models, but also their structure, difference and how do they work.
Position: Data Scientist
Category: Python
Experience: 2 years | English: fluent


I'm currently a data scientist freelancer with fast experience in data analysis, statistical analysis, and predictive modeling using python, Tableau, SQL, and Jupyter notebook. I have laid my hands on different types of machine-learning projects like regression, classification, anomaly detection, and many more.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: fluent


I'm currently studying at the University of Sheffield and majoring in Data Science. During my studies, I have used Python, KNIME, IBM SPSS, and R tools in my projects and additionally, learned AWS, Microsoft Azure, Oracle SQL and Pyspark (for big data). Machine learning - supervised or unsupervised learning, data mining, and data cleaning was the main part of the projects and furthermore, using statistics knowledge and theory was always a priority for me. Now, I seeking a job to improve all aspects of my abilities and adopt a real-working environment.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: intermediate

I did my bachelor degree in Agricultural Machinery and Technologies engineering at Ondokuz Mayıs University.
I am currently studying for a Master's degree in Data Science at Gazi University.
I'm doing a master's degree in data science.I have no work experience. I work in R and python languages. I am interested in the fields of machine learning,Random forest,Decision tree.Apart from that, I can also use the Autocad program.
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper

i finished my internship programme with honor certificate in Data Science Academy because of possessing the highest learning rate and the highest task load.
I mentored SPSS Statistics, SPSS Modeler, R, and Tableau at Data Science Academy in Azerbaijan, Baku.
Position: Data Scientist
Category: Python
Experience: 5 years | English: fluent

I have helped the company grow its market share and increase revenue through a program we launched in 2019. The program seeks to help shop retailers make extra money through the company app without having them on the payroll. All they need to do is sell a Nokia smartphone device, scan the IMEI barcode stickers and get paid I track the program performance through data analysis and provide insights to the business that help in the success of the program.
I'm interested in a Data Analyst/Scientist role because I've demonstrated my skills in this area throughout my career and I'm extremely interested in learning and excelling at new technologies, I have mastered the art of building data science projects that help my team meet objectives with top skills in Excel, Python, ETL pipelines, Machine Learning, Deep Learning SQL, Cloud technologies, and AWS Quicksight and I look forward to mastering more programs and bringing innovation to the company. I have good reporting and creative problem-solving skills which I have developed while working as a data scientist/analyst for the past 5 years.  
Due to my innovative ideas, I have helped my current company grow its market share and increase revenue through a program I came up with back in 2019. The program seeks to help shop retailers make extra money through the company app without having them on the payroll. All they need to do is sell a Nokia smartphone device, scan the IMEI barcode stickers and get paid. I being the leader of program, I track performance through data analysis and provide insights to the business that help in the success of the program.
If given a chance in your company, I would bring fresh and innovative ideas that would help the company meet its objectives. Focusing on consumers, business forecasting using machine learning. If I can come in and solve problems, contribute to your mission, and achieve set goals, I know this would push my career to the next level.
To work in a collaborative environment
Position: Data Scientist
Category: SQL
Experience: 4 years | English: upper

My achievement:
-creation of  database by MS Office Access, that provided work-flow automation, such as:  checking in documents, client’s operations, calculation of financial results both for every customer and general result, accounting of actual payment, invoicing billing, reconciliation calculation and provided many other functions.
­-creation clients’ database by EXCEL, using function of integration, that allow to form different WORD-documents, that were based on EXCEL table data of EXCEL tables.
-organizing of system of workflow, system of reports for new directions of activity
I’m looking for position which connected with databases and analysis in order to implement my experience and to acquire new skills by joining a friendly team. For now, I have the following experience:
* 4 years working in IT company as developer dealing with: 
-DataBase, 
-SQL, 
-EXCEL (advanced level). 
* I have about 16 years experience of working for different financial companies in different positions from a junior specialist of current operation to manager in sphere of stock market trading and investment, where my tasks were:
- arrangement of work-flow process, automation of work-flow;
- ­calculation of performance indications of company’s results, reports completing, analyze of business activity;
-creation different types of reports (financial, statistical, etc)
I would like to get strong practical knowledge in analysis, using my skills, as well as trying new instruments for me. Also, I prefer working for result.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: upper


I'm Machine Learning Engineer with 1 year of experience in ML and 2 years of experience in software engineering, looking for ML Engineer or Data Scientist role. I've participated several ML/Deep Learning Projects and I participated in almost every step. I was doing some research about data, I did some preprocessing tasks, created different models... I had some meetings with customers to get their needs better. 
I have a ‘get things done’ mindset, and want to be involved in the end-to-end process from product design through to deployment. I'm looking for the place where I can develop myself and also I can be productive for the company.
I don't want to work in a company that doesn't have actual projects (some companies hire people and after that they start looking for projects) and I don't want to work without agile workflow (scrum, kanban...)
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: fluent


I'm passionate about solving data-related problems in socially impactful fields. Having a strong mathematical academic background, including but not limited to mathematical analysis, linear algebra, probability, and statistics, I also have one year of experience in machine learning research, as well as participation in several pet-projects during my master's studies.

For more than a year, I have been working as a Responsible AI Research Fellow at the Center for Responsible AI at NYU Tandon. During this time, I've worked on several projects, including:
- Explorable Explanations for Causal Inference (publication at VISxAI 2022)
- Introspection and Visualization Tools for Equitable Admissions Decisions
- Study of the results of external independent evaluation of graduates of Ukrainian schools, the impact of the coronavirus and full-scale war

I got master degree at Data Science program in Ukrainian Catholic University (2021-2023), and bachelor degree at Institute of Applied System Analysis in National Technical University of Ukraine 'Kyiv Polytechnic Institute' (2015-2019). My master thesis "Text generation with control conditions compliance" explores methods, approaches, and current challenges in generative modeling using an example of controllable text generation. During my master's studies I participated in several studying pet-projects (for example, the study of patterns in the texts of the electronic library of TULA in Toronto). I was also a teaching assistant for a bachelor's level Linear Algebra course, master's level Linear Algebra course, bachelor's level Probability & Statistics course and master's level Machine Learning course.

I would like to develop in socially significant fields, using my Data Science skills and mathematical background in impactful projects with responsible use of artificial intelligence.
Position: Data Scientist
Category: Python
Experience: 0 years | English: intermediate


Implementation of Naive Bayes Classifier and Project with real data “Naive Bayes Classifier vs Neural Network to detect English book genre” (Scikit-Learn, Keras, Matplotlib) in IT Hillel School, Kyiv, Ukraine
Age-Gender  Classification for Video Recognition in Diploma Project (NN, PyTorch)
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: fluent

Having recently arrived from Erasmus+ semester, I am still incredibly passionate about working with projects in AI. During the exchange, I have done a few projects in the laboratory. The purpose was to unleash the vibrant ML and Deep learning approaches. By doing facial generation project, I have gained enough knowledge working with DCGAN through hard work of opting proper architecture and applying additional approaches to prevent learning process drawbacks (like Mode collapse). Throughout the whole process of achieving precise pictures of human being faces, I have gained good experience at Convolutional GANs, especially dealing with its bottlenecks. And but not less importantly, I have been working with international students. Through a process of working with students from different countries brought me to a point where I can efficiently work in a multicultural team.
Implemented project Generating faces with emotions using Convolutional GAN, Crowd analysis with Optical flow and Aesthetic evaluation of streets; worked with Tensorflow and Keras; Git teamwork with international team
I would like to be involved in AI project as Junior/Intern Data Scientist
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: intermediate


- Implementing analysis and modeling to reduce credit risks,increase clients conversion and improve
systems of communication with clients (creating samples of relevant clients for advertising and
communications)
- Creating models for relevant offer.
- Data mining, processing and analyzing using T-SQL
- Creating credit scoring models, recommendation system, search for similar customers using machine
learning Python-tools.
- Customer churn research and predicting.
- Image classification. 

Python libraries and frameworks:

Sklearn, Pytorch, Keras, OpenCV, Tensorflow, Xgboost, Numpy, Pandas, Scipy, Statsmodels, Matplotlib, Seaborn, Spacy, Nltk, Django

Data science skills:

EDA, Model Building, Classification, Clustering, Linear optimization, Data mining.

ML/DL:

NN(CV), Decision Trees, Random Forest, Xgboost, SVM, KNN, K-means, Dbscan, Linear/Logistic regression