lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Junior Data Scientist
Category: Data Science
Experience: 0 years | English: upper

International DS competition  finalist (to be participated), Kaggle inhabitant
Decent knowledge of math areas applied to Data science(Linear Algebra, Probabilistic theory, Calculus)
Quite confident in Python (1,5 year) and its implementations (SciPy, pandas, TensorFlow, Sklearn), familiar with R, C++, Java, Basic knowledge of WebDev, Uncommercial experience in FinTech tasks (credit scoring etc.) and associated problems, a bit of experience with Computer Vision.
Trainee/Junior position under 
under the guidance of an experienced data scientist.
Position: Junior Data Scientist
Category: Data Science
Experience: 2.5 years | English: intermediate


• Developed algorithm for daily gas consumption forecasting with SARIMAX time series model;
• Automation of data collection with SQL-queries, API calls;
• Developed the methodology of theoretical assessment of daily gas consumption dynamics separately by districts using statistical approaches and regression models;
• Developed algorithm for daily gas consumption forecasting with SARIMAX time series model;
• Automation of data collection by SQL-queries, API calls;
• Developed the methodology of theoretical assessment of daily gas consumption dynamics separately by districts using statistical approaches and regression models;
• Developed the algorithm in Python for selecting a control group based on the data of natural persons - gas consumers;
• Anomalies detection in gas consumption time series;
• Finding patterns and dependencies between different variables;
• Data Visualization;
• Detection of anomalies in gas consumption time series;
• Finding patterns and dependencies between different variables;
• Data Visualization;
• Some experience of building web-applications using Flask;
Position: Junior Data Scientist
Category: Data Science
Experience: 0.5 years | English: fluent

Participation in a bunch of DS hackathons such as "FTI Hack" and "INT20H". Various research projects in Masters program in domains of computer vision, medical computer vision and reinforcement learning.
- Did AI Research Engineer internship in BetterMedicine - Estonian medical computer vision startup. Me and my team were performing AI experiments on choosing best model configuration for medical image segmentation of
kidney data. Developed visualizations system for medical image segmentation model scoring and risk assurance. Developed robust lesion measuring system for kidney CT scans aligned with radiologists approach for lesion
measuring.
- Worked for almost a year as a technological consultant at Ernst & Young. Developed and implemented document flow automation projects with monitoring using Power BI.
Position: Junior Data Scientist
Category: Data Science
Experience: 1 years | English: upper

All-Ukrainian Olympiads «Mechatronics in engineering» NTUU "KPI", team captain:
2014 year:  1st place, 2nd place in individual competition
2013 year:  2nd place
2012 year:  3rd place
All-Ukrainian Olympiad «Hydraulics» in Zhukovsky State Aerospace University, Kharkiv:
2014 year:  2nd place
All-Ukrainian Olympiad «Hydraulics machines, hydraulics drives and hydraulic and pneumatic automation» in Sumy 
state university:
2014 year:  4th place
All-Ukrainian Olympiad of «Robototronics» in Sevastopol State Technical University:
2011 year:  3rd place
Education:
NTUU "KPI", Mechanical engineering;
Hydraulics machines, hydraulics drives and hydraulic and pneumatic automation.
Master's Academic level, Diploma with honours

Mostly I have been working in MATLAB with Timeseries data from sensors on Wind Turbine.
Responsibilities:
- Writing scripts and functions for sensor data acquisition in MATLAB;
- Simulation in MATLAB;
- Data Processing and Acquisition in MATLAB;
- Develop GUI applications in MATLAB for Data Analysis in Load Engineering;
- Parallel Data Processing and Computing in MATLAB;
- PLC Programing in TIA Portal (S7-1200, ET200SP).

I have finished most of coureces on 365datascience:
Microsoft Excel advanced, Probability, Statistics, Mathematics, Tableau, SQL, SQL + Tableau, Intro to Python, Python bootcamp, Advanced statistical methods in Python (Machine Learning)

Other my experience, skills and education connected with Hydraulic, PLC programming, Mechatronics and CAD Design.
I am in a process of relearning from Engineering specialization to Data Science direction.
Now I am searching for a new experience and a new challenges.
Ready for hard work and study.
Position: Junior Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper

Kaggle competitions: 
* Dogs vs. Cats Redux: Kernels Edition - score: 0.34494
* House Prices: Advanced Regression Techniques - score: 0.12449
* Digit Recognizer - score: 0.99489
Experience:
Finance Management Trainee at Unilever
* Gross Margin Variance Analysis
* Support Net Revenue Management process in Ukraine
* Support the process of Finance Digital Transformation
* Analysis of deviation of actual results from the forecast

Data Analyst / Consultant at EY Ukraine
* Support information intelligence, including collection, storage, and processing of big arrays of information
* Provide data analytics services to help clients solve business problems
* Conduct information research, prepare management reports
* Analysis of outcomes and visualization

Skills:
* Good knowledge of Machine Learning algorithms background (regression, instance-based, regularization, tree-based, Bayesian, clustering, deep learning, dimensionality reduction, ensemble)
* Strong knowledge of linear algebra, statistics, probability theory
* Processing/analysis of big arrays of information

Familiar with:
* HTML/CSS
* Django/Flask
* RESTful API
* Docker
* Git

Data Science Fundamentals by DataRoot Labs alumni
I would like to work and grow in a professional team, which is always ready for new challenging tasks, result-oriented, ready to share their experience, and hires juniors not just for monkey jobs.
As for me - I am a responsible team player, self-motivated student, and ambitious person who is always actively listening/searching/learning.
Position: Junior Data Scientist
Category: Data Science
Experience: 1.5 years | English: upper

Developed a hand gesture recognition system by using Google AI MediaPipe.
Developed a system that can recognize malicious e-mails and send a notification to the user.
Passed courses on Coursera that related to ML and Python
Experience:
• Rewrite Pytorch OCRNet(Object-contextual representations) with Multi-Scale Attention and HRNet(High-Resolution Representation Learning) to Tensorflow for semantic segmentation from satellite data.
• Rewrite Pytorch DSANet(Dual Self-Attention Network) model to Tensorflow for classifying data from satellites.
• Classify time-series data by using Multivariate attention with LSTM. And using Temporal Fusion Transformers for Multi-horizon Time Series Forecasting(Bitcoin prices)
• Using semi-supervised methods (SimCLR, MIxMatch, Noisy student models) to classify images from satellites. • Developed the desktop app for detecting malicious emails using conv1d and maxpooling layers;

- Using OpenCV with pre-trained CAFFE model(YOLO) to solve object detection classification on COCO dataset. Currently, working on hand keypoint detection graduate work in university;
- I had experience in building a telegram bot for recognizing a user's image with pre-trained ImageNet weights, namely the Xception model;
- Worked from scratch with Tiny ImageNet dataset which consists of 200 classes for classification;
- Took part on Hackathon where the main task was to create a virtual assistant that can give useful information for the user and get good revenue form that;
- I had experience with a real task that was provided by a mobile operator from my county. The goal was to classify 30k+ users whether or not they will change the tariff plan;
- Telegram bots development.
Looking for interestig projects that can help me to become more competent in my field activity.
Position: Junior Data Scientist
Category: Data Science
Experience: 0.5 years | English: intermediate

Kaggle competitions:
* Web-user identification task (LogisticRegression).
Result: 90th place among 5300 participants (top 2%);
* Restaurant Rating prediction (RandomForestRegressor). Result: 30th place among 772 participants (top 4%).
* Image Classification with Transfer Learning (Microsoft ML Bootcamp). 
Result: 11th place (top 4%) among 315 participants.
For the last two years I have been actively engaged in self-development in data science: from EDA to Neural Networks. Problem Solving Experience: Regression,
Classification, Clustering, Dimensionality Reduction, Object Recognition and Time Series Forecasting. Experience with the following methods: LinReg, SGD, LogReg, kNN, RF, XGBoost, KMeans, PCA, LAMA, CNN, RNN.
I also have two higher education: technical and economic, and 12 years of successful career in FMCG production management.
I enjoy solving classic data science problems such as regression, classification and clustering. In addition, I have chosen computer vision as my main specialization.
Position: Junior Data Scientist
Category: Data Science
Experience: 1 years | English: upper

Device for reading for blind people

Hardware engineer & developer of a device (Sept. 2017 - Present)
- Uniqueness: Low-cost and efficient mechanism.
- Designed a mechanism , did market & patent research, developed
with C-lang, PSoC4, Arduino, pitched: ( pitch desk ).
- Project awards: UA President’s Scholarship, USA , Ukraine , Serbia , Turkey , Milset EXPO Sciences -
(Latin America, Europe, Asia), Studway Awards, Singapore. (2017 - 2019)

Automation service for Ukrainian admission office (Microsoft Bootcamp)
Full Stack Engineer (Feb. - June 2019)
- Uniqueness: The processing of certificates is 3 times faster, less people involved. ( pitch desk )
- Minimised cost function of image classification to accuracy of 97%, wrote web-page service with
Flask, HTML, CSS, did market research ( demo ).

Service to control and save your money budget
Software engineer (March - June 2019)
- Uniqueness: Application gives advice, how to save & where to invest money. ( demo )
- Did analysis of spending money, created algorithm of calculating an outcome.
- Written in Python: collecting data, analysis of spending money, analysis and prediction of stocks.

Open Data Hackathon
Hackathon organizer (Feb. 2019)
- Organized a hackathon to solve youth problems in Ukraine.
- Arranged a venue and the event, communicated with 5 sponsors and 7 media partners, did PR.
Google STEP Engineering Intern - Automation library
Site Reliability Engineer (LONDON June 2019 - Oct. 2019)
- Co-designed, developed, tested and launched a Golang library that was
used in a large Google production system.
- Used as an inside tool, saving RAM & CPU.
- Gained significant experience of working in a large software engineering
organisation: project management & scheduling, coding standards & code review, testing practices.

Spheros Electron Intern - Welding machine
Software & Hardware Engineer (June - Aug. 2019)
- Designed a mechanism to be used in production, created an Arduino
model of welding machine, B2C cooperation ( demo ).
Я хочу займатись аналізом великих даних, пошуком кореляцій між метриками та дослідженням гіпотез. Чудово було б, якби дані були пов'язані із фінансами, тобто аналіз ринків чи стоків. Також я планую прогресувати у діяльності data scientist, і на разі проходжу курси у університеті по Штучному Інтелекту, Машинному Навчанню, Пронозуванню та Дослідженню Операцій. На даний момент, я вже закінчила курс Machne Learning на Coursera від Stenford Univesity, а також Data Science Summer School APPS UCU.
Position: Junior Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper

Successfully passed the selection for an internship in Svitla Systems Inc and also successfully completed the internship with a positive feedback.
Had a work experience as Intern Data Scientist in Svitla Systems Inc. Worked on creation of prediction models, data preprocessing, data selection, reporting, extracting insights from existing data. Got familiar with Azure ML Studio and pyspark.

To approve my skills I had realized some pet projects, here are the most interesting:
1) predicted probability of bankruptcy using random process theory
2) worked on solving kaggle semantic segmentation task
3) Used different ML algorithms on real data to solve regression/classification/ clusterization problems. Also used neural networks to solve classification problem in Computer Vision
I also have some teaching experience: I helped people to prepare for exams in math analysis and statistics. 

And now I really want to use my skills and knowledge in real cases. It will be a good opportunity both to improve my skills and to and to realize my potential for the benefit of people.
Position: Junior Data Scientist
Category: Python
Experience: 2 years | English: upper

Updating my database by scraping data and deploying my app which works based on that database, using analytics and ml tools.
Hello! I am proficient both in Russian and English languages. Worked as a mentor in Data Analytics teaching company and currently work as a Junior Data Scientist. Pandas, numpy, sklearn, seaborn, tensorflow, matplotlib, streamlit, requests, beautifulsoup are my day to day tools.
Experience and meeting skilled people to learn from
Position: Junior Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper


Highly educated, possessing a Bachelor’s degree in the field of Oil and Gas Engineering with experience working in energy companies from countries such as Ukraine and UAE , and professional certification in the field of data analysis and data science. Passionate about working with large amounts of data and turning this data into information.
Position: Junior Data Scientist
Category: Data Science
Experience: 0.5 years | English: fluent

Successfully finished 14 weeks of Data Science program by Data Root University. Got In-depth knowledge of various Machine Learning technics, supervised/unsupervised learning and RESTful API development on Flask.
Highly experienced scientist with a strong background in analytical chemistry and scientific research. Looking for new opportunities in the field of Data Science. Particularly motivated towards Machine Learning, Data Analysis and Prediction.
Position: Junior Data Scientist
Category: Data Science
Experience: 0 years | English: upper


I am a graduate of University of Salerno with Internet of Things specialization oriented on Data Science and Machine Learning using Python.
Have experience with data preprocessing, feature selection and machine learning algorithms while worked on pet projects on Kaggle, university's projects and master thesis dedicated to Intrusion Detection Systems based on classification algorithms.
Now working on Flu Shot Learning: Predict H1N1 and Seasonal Flu Vaccines competition by DrivenData.
Position: Junior Data Scientist
Category: Python
Experience: 1 years | English: fluent


I am currently at my 7th, last, semester studying Artificial Intelligence in Poland. I enjoy working with data and mathematics-related topics and would really love to find a job in this field. 
  Right now I am woking as a junior python developer and although I do enjoy writing code in Python in almost any field, I would prefer working with AI-related tasks, therefore I want to find a new job in this field.
Position: Junior Data Scientist
Category: Python
Experience: 0.5 years | English: fluent


I am currently working as an applied researcher at a national research institute in Poland. The stack of technologies I am working with include Python as the main programming language, libraries: Pandas, NumPy, SpaCy, NLTK, sklearn. The domain of my expertise is NLP engineering and ML for NLP. I have worked with models evaluations, such as RandomForest Classifier, PCA, k-nearest clustering, Naive Bayes classifier, SVM.
I would like to get more hands-on experience as Data Scientist applying the ML pipeline and practical programming skills. I can also do web-scrapping.
Position: Junior Data Scientist
Category: Data Science
Experience: 1 years | English: upper

Kaggle Competitions: Digits Recognizer 73/2436

4 completed courses: 1) Data Science Fundamentals course from DataRoot Labs.
Credential id: DRU-YM7RH.

2) AWS Fundamentals: Going Cloud-Native course from Coursera.
Credential id: W79CHMRSFFSL

3) Google Cloud Platform Big Data and Machine Learning Fundamentals course from Coursera.
Credential id: KS7ZNXJTRVTU

4) Text Retrieval and Search Engines course from Coursera.
Credential id: DZW3UFJ9WLSC
I am Junior Data Scientist with strong mathematical background, able to solve hard math problems. Have experience working on part-time job as data analyst, making sales analysis and product sales prediction for my older brother.
I am looking for interesting Data Science job, where i can use my skills and knowledge and grow as a professional.
Position: Junior Data Scientist
Category: Data Science
Experience: 0 years | English: upper

Courses:
• Tensorflow 2  And Keras Deep Learning Bootcamp - Udemy
• Become Probability and Statistics Master - Udemy
• Object - Oriented Programming Concepts - Coursera
• Scientific Computing With Python - freeCodeCamp
• Data Analysis With Python - freeCodeCamp
and some others. You can check out all of my certificates on my LinkedIn profile.
I am self-taught data scientist and I don't have commercial experience yet. But I have experience from two of my personal projects I did. 
First is - Medical Insurance Price Prediction. Goal of this project was to predict what will be the price of insurance for given individual.
Business purpose as I see it: To automate and ease the process of calculating insurance charges for insurance companies / Give quick price prediction pre-human analysis.
Second is - Customer Personality Analysis and Clustering. Goal of this project was to perform EDA to explore customers features and perform clustering to summarize customer segments.
Business Implementation of Second Project is to help business better understand its customers and their habits, behavior and needs. Customer Segmentation helps business to modify products based on its target customers from different customer segments.
Position: Junior Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper

Mostly worked with clients, to understand their underlying needs and help design and suggest solution, to better fit the situation and maybe even the initial demand. I am confident in my ability to come up with different solutions, in specific circumstances.
I did an internship at a bank as a data scientist, where I learned a lot and gained a lot of experience in that field. While there, I worked on FCL (Fast Consumer Loan) model, which is used by bank to determine the amount of loan that can be given to a person, without additional verification of income. as well as a Document Fraud Detection Model, which was used to detect fraudulent documents, mostly small number changes, or changing name and ID for another persons transactions.

I am currently studying at university, for Bachelors of Business, with Quantitative Finance Specialty.

I have also worked for over three years in a software development company, starting as intern and advancing from there. We used the Odoo framework, for development, which mostly uses Python so I learned a lot of python, to the point that I'm confident, there's nothing I can't tackle, when it comes to Python. Also picked up a lot of soft and hard skills that can be useful in variety of fields, such as: communication, working with team, time management, SQL, working with APIs and so on.
Position: Junior Data Scientist
Category: Data Science
Experience: 0 years | English: intermediate

Completed courses:
- Introduction to Pandas (Kaggle)
- Introduction to Machine Learning (Kaggle)
- Data camp 2021 (Udemy)
- Sololearn Python
- Sololearn SQL
- Coursera Python Basics
- Coursera Introduction to MongoDb
- Prometheus Start Up
I graduated from NTUU "KPI". Now, I am master in program engineering. My master's thesis was "Analysis of sound in the marine environment using machine learning". It was my first big project where I used machine learning and my knowledge about Data Science.
Also I have a little pet projects, which I did when I studied in the different courses. 
My dream is To start careet IT and be a Senior Data Scientinst. I will do everything that in my power to do it.
I am ready to work like a trainee or junior Data scientins because It will be my first commercial experience in this area.
At the university, I tried to make some sites but then, I understood that It's not for me, because I love numbers so much and different work with them, for example, analysis.
Position: Junior Data Scientist
Category: Data Science
Experience: 0.5 years | English: fluent

* 1-st place at the science competition 'Young Scientist International' 2019 (Kyiv, Ukraine)
* 3-rd place at the NeuroHackathon 2019 from Ciklum (Kyiv, Ukraine)
* My own project about human diagnostics based on a liver sonography image analysis (texture analysis and machine learning techniques such as random forest, multilayer perceptron, XGBoost and EFA, PCA, Kernel PCA and others)
I have a B.S. in Computer Science (NTUU "Igor Sikorsky Kyiv Polytechnic Institute").

Python, R, Matlab, C/C++, SQL (MySQL, PostgreSQL), Github, Jupyter Notebook, Power BI

Python:
pandas, numpy, scikit-learn, visualization (matplotlib, seaborn), scipy, pyradiomics, requests, GUI (PyQT 5), Pillow, Deep Learning (TensorFlow, keras), Operationalization (Flask)

Mathematics: 
Machine learning, probability theory, statistics, linear algebra, fuzzy logic, mathematical optimization, sorting and searching algorithms.

Worked (0.5 of a year) as:
1) Research Assistant (Ryerson University in Toronto, Canada) - 4 months
2) Data Science Intern (Institute of Nuclear Medicine and Diagnostic Radiology of NAMS of Ukraine in Kyiv)  - 2 months
* I seek to join a high-level team of Data Scientists to work with large amounts of data and become much more experienced.
* I am currently studying and therefore - the flexible schedule is highly preferred.
Position: Junior Data Scientist
Category: Data Science
Experience: 0.5 years | English: fluent

A data enthusiast with over 5 years of experience in media and project management, currently transitioning into a data scientist role. Passionate about machine learning, with a particular focus on natural language processing. Hoping to combine excellent analytical, communication, and research skills to provide data-driven business solutions.
I have a data science and machine learning background with an NLP focus. Currently, assisting my mentor with NLP freelance projects, performing
- prompt engineering;
- transformer models training;
- relation extraction.
Position: Junior Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper

Ph.D. in physics
I have a learning experience in applying and tuning a common classification, regression, and clustering algorithms, as well as ensemble methods and basic neural networks. Familiar with common data preprocessing and visualization techniques. I have a solid background in the research (physics) and technical sciences, including math, statistics, and probability theory.
I am looking for opportunities to start my Data Science career in industry, to contribute and to learn on real-life problems, and I am ambitious to excel in the domain.