lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Junior Data Scientist
Category: Data Science
Experience: 1 years | English: fluent

I have scraped OLX, Houzz, Lun.ua, etc. I have also built different ML models in Python, R and Excel: linear regression, random forest, logistic regression, decision tree, SVM, neural networks, etc.
I have almost a year of experience in Data Analysis. At my work, I do market researches, data web scraping, analytical researches, etc. I'm interested in Data Science and Machine Learning. Currently, I watch online courses for ML on Coursera and Udemy. So I'd like to start a career in Data Science and work as a Junior Data Scientist as I have deep knowledge in math, statistics, probability theory, function optimization, and econometrics. Also, it would be good to work as a Machine Learning Engineer.
I'd like to implement machine learning models into real business projects, analyze numerical data, build and test models. Also, I want to apply my knowledge of math and statistics.
What I don't like to do is non-numerical analytics, accounting and finances at a little company.
Position: Junior Data Scientist
Category: Data Science
Experience: 0 years | English: upper

From Nov 2022 I'm studying at EPAM Data Science Online Program.
Though I have no commercial experience in IT, at my past jobs I have gained valuable skills of time-management, problem solving and quality control. As an example, I have taken central role in design and implementation of several automation workflows in digital print production enviroment with on-fly troubleshooting and support.
I have a Master's degree in Genetics and Biotechnology and 5+ years experience of work in scientific research in field of Life Sciences.
Also I have 15+ years experience in graphic design and digital prepress and 10+ years experience as digital press and large format printer operator and print production specialist.
Now I am looking to change my career to data science / machine learning engineering.
Position: Junior Data Scientist
Category: Data Science
Experience: 0 years | English: intermediate


I have gained hands-on experience with data science tools and technologies including Tableau, Alteryx and programming languages Python, R. I have completed several projects in the field of data science, including Sentiment analysis on consumer reviews using Python, Airline on-time statistics and delay causes dashboard using Alteryx and Tableau.
Position: Junior Data Scientist
Category: Data Science
Experience: 0 years | English: upper

Completed training and received following certifications:
Certification in English (Upper-intermediate) , Speak UP 2019
Certification in Data Science Fundamentals, DataRoot Labs 2021
I have non-commercial experience of implementing supervised and unsupervised machine learning algorithms. Highly motivated to learn. I'm looking for a job to gain experience and grow as Data Scientist.
Position: Junior Data Scientist
Category: Data Science
Experience: 0.5 years | English: fluent

In 2019, I have been granted presidential scholarship due to achieving the highest university entrance score in my country, Azerbaijan. I have BC IELTS 8.0 score, and I have certificates regarding ML & DL and Data Science which are shown in my LinkedIn profile.
I have previously worked as a Cyber Risk Specialist. Right now, I am a Junior Data Scientist at PRODATA, with working experience of NLP, Computer Vision, data analysis, mostly in Python. I have several projects published on my Github, one of which involving wine score prediction using various models with TF & IDF implementation.
I would be happy to work in a project involving Deep Learning.
Position: Junior Data Scientist
Category: Data Science
Experience: 1 years | English: fluent


I led the research on implementing predictive maintenance on a 3D-printer. This helped us identify appropriate sensors that should be used to improve the effectiveness and efficiency of the 3D-printer by 20%
 Built an OCR feature on the customer registration platform. This improved the efficiency of the registration process by 30%
 Implemented a facial recognition model using OpenCV. I later improved the model by implementing the model by building neural networks using TensorFlow thus improving the accuracy by 10%
 Worked with a team to build a recommendation system for a marketplace using collaborative filtering techniques
 Assisted in data collection, cleaning, preprocessing and analysis for various projects
Built a machine learning model to predict volumes of emissions in gas flaring regions. This was implemented by comparing different machine learning models in Time Series Analysis.
 Implemented a facial recognition and facial verification models using TensorFlow taking advantage of callbacks when desired thresholds were achieved.
 Built a Neural Style Transfer model that I used to generate different ‘artistic’ portraits. This was also implemented using TensorFlow.
Position: Junior Data Scientist
Category: Data Science
Experience: 0 years | English: intermediate

Certificates from Coursera - first 3 courses in specialization Applied Data Science
Completed an online course Data Science Fundamentals by
Dataroot Labs
Completed the full course on Big Data and Machine Learning
provided by Kyivstar (Kyivstar Big Data School)
Image recognition using PyTorch, classification and regression problems, clustering analysis
Position: Junior Data Scientist
Category: Data Science
Experience: 1.5 years | English: fluent

1) Doing pre-sales prototypes fast during my experience in Perfectial. Sometimes I had only 2 days to do a prototype of a complicated AI project
Industry experience:

1) Internship at R&D department at Abto Software(Aug 2019-Sep 2019)

2) Intern/Junior Data Scientist at Perfectial (Oct 2019-Mar 2020)

Personal projects:

1)  Skin Cancer Lesions classification

In this project classification of skin lesions with 7 different diagnoses was performed using CNN. Also image feature extraction using Radiomics library was performed. 

2) Flappy Bird game bot

In this project we've written a Python library for NEAT(Neuroevolution of augmenting topologies) and also used another Python library for generating a NEAT model for passing Flappy Bird tubes. We've obtained the best result at about 100 tubes passed.

3) Icons generation using Deep Learning

My solution was to train 3 types of models: Variational Autoencoder, Vanilla GAN and DCGAN and compare their results. Using manual evaluation, we can say that results from a Vanilla GAN were not usable, because they lacked sharpness and picked only some very basic patterns. In case of Variational Autoencoder, results were much more icon-like, but too messy. But result of DCGAN is the best of three methods used, because it picked more complicated patterns.

4) Time series analysis and prediction of production in Malaysia

Time series analysis and prediction of production in Malaysia In this project, I tried to predict agricultural production of some products in Malaysia by historical data. The yearly forecast was obtained using several ways: using AR, MA, ARMA and ARIMA models, using classical ML methods like Lasso Regression, but also using Deep Learning technologies like 1d CNN and LSTM.

5) Link between Simpsons sentiment and sentiment in mass media in USA(1990-2017)

In this project, I analyzed sentiment in USA society and compared it with the sentiment in The Simpsons TV show for further insights. The biggest part of the project consisted of data imputation, data gathering, and merging. The main insight was inconclusive. Also, I was trying to find patterns.
I really don't know, I'm open to any new possibilities. But I like new technologies and something experimental.
Position: Junior Data Scientist
Category: Data Science
Experience: 0 years | English: upper


In process of learning Machine Learning. In the past I was competing in cybersport. 
I am very intelligent and easy to communicate with. Math and Algorithms are my fancy subjects. My approach to everything I do in the life is to understand every detail and produce the best quality possible.
I am looking for a company with communicative staff, interesting projects and opportunities to learn more and grow professionally.
Position: Junior Data Scientist
Category: Data Science
Experience: 0 years | English: fluent


I’ve completed various projects (mostly in data analysis and ML, with a few older ones in embedded systems). 

My most recent creation is an optical character recognition Kaggle notebook that uses a CNN with a spatial pyramid pooling layer for classification of handwritten symbols. It’s mainly built on PyTorch. 

During an earlier work experience with Jellyfish in London, England, I was given time series data from a real business to analyse. The result is a Jupyter notebook that helps measure the impact of creative optimisations on relevant key ASO performance metrics: it produces a report that compares mean and median conversion rates two weeks prior to the optimisation to those two weeks after. The project heavily utilises pandas and also features basic Matplotlib visualisations.

A fun thing to mention from a while ago is my participation in the Robotex International line following competition in Tallinn.
Position: Junior Data Scientist
Category: Data Science
Experience: 0 years | English: upper


I've earned a bachelor's degree in automation and computer-integrated technologies from Odesа Polytechnic National University. 

I've completed a couple of educational projects. One of them is the "Application classifier". This project uses ensemble learning to detect fake applications. It analyzes text, numerical and categorical data to determine whether the current application is spam.

Other projects are available for viewing on my GitHub page.
Position: Junior Data Scientist
Category: Data Science
Experience: 0 years | English: upper

I take pride in my journey of transitioning from finance to Data Science. 
During my 2.5-month Data Science course, I successfully completed 4-5 impressive projects in various technologies including Statistical Learning, Decision Support System, and Machine Learning. These projects not only enriched my knowledge but also showcased my ability to apply data science techniques effectively. 
I'm excited to use these achievements as a foundation for my budding data science career."
I've got a background in finance, where I've spent time with numbers. 
Now, I'm quietly making my way into data science, learning from a 2.5-month course. 
Excited to start exploring the world of data analysis and see where it takes me!
Position: Junior Data Scientist
Category: Data Science
Experience: 1.5 years | English: intermediate

Head of NOC Leading a support team. Analysis and optimization of technical processes. Developing new features in company software solutions. HR operations for new employees.
My kaggle profile: kaggle[dot]com/apachaika
mlcourse.ai  (186 place from September 2nd till November 23rd, 2019).
Junior Data Scientist
DimDim (DimDim is a Real Estate Marketplace.)
We created a classification model for forecasting the state of apartment repair for company “DimDim”. 

Full information in the CV file

Project Manager + Junior Data Scientist + Researcher.
Prostranstvo(Construction company)
Creating a model for forecasting the price of a new building based on the characteristics of the house according to the trends of the district.

	
Data Analyst
AMG UK LTD
Analyze data.
Created auto-report for CRM system on Python.


Head of NOC VoIP
Speedflow Communications Ltd

Leading a support team of 8 people
Analysis and optimization of technical processes
Developing new features in company software solutions
HR operations for new employees
Monitor, the coach, motivate and improve the skills of the team
Description regulations
Handling requests from clients, providers, and sales department
Analyzing and resolving clients’ issues via e-mail, messengers, and phone
Troubleshooting any issues that appeared on routes controlling the process until successful resolution and customer’s satisfaction
Monitoring network to detect system issues and/or alarms.
Looking for a position Junior Data Scientist| Machine Learning Engineer, which will allow me to use and enhance my skills and put them to use for the development of the organization.
Position: Junior Data Scientist
Category: Data Science
Experience: 1.5 years | English: intermediate


Junior data scientist is seeking an opportunity to apply and improve my data science skills and knowledge.  I have analytical mind, math skills and knowledge, experience with different machine learning algorithms to solve classification, regression and clustering problems.
Technology stack: Python libs (Pandas, Numpy, Sklearn, Scipy, Tensorflow, Matplotlib, Seaborn); R language (basic knowledge), PostgreSQL, IBM SPSS Statistics.
Responsibilities at the last job:
- creating SQL queries;
- data cleaning and pre-processing;
- data analysis;
- application of machine learning methods;
- development of machine learning models for predicting customer default and assessing risk.
Position: Junior Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper

Three-week basic statistics course in 5 days (sometimes I'm over motivated)

Web-application with using Java, MySQL, CSS/HTML, ORM, Hibernate

Hand-written data mining algorithms on Python (Naive Bayes algorithm, Page Rank algorithm, K-means clustering, Market Basket Analysis)
Knowledge of algorithms and data structures.

Learning the basics of machine learning and working with real data.

Practical use of python libraries for working with data (pandas, numpy, matplotlib, seaborn, scikit-learn).

Participation in kaggle competitions.

Practical courses in statistics and probability theory.

Experience writing complex SQL queries.

Development of small web applications using a database.
Flexible working hours and friendly atmosphere, of course
Position: Junior Data Scientist
Category: Android
Experience: 1 years | English: intermediate

Knowledge of different areas of mathematics, theory of algorithms, different programming languages. For a year, he worked at SoftIndex LLC as a Junior Data Scientist. I am a fourth-year student at Taras Shevchenko Kyiv National University, majoring in Computer Science. During his studies, he gained knowledge in the field of database management and decision support systems. I also took courses in data science, where I learned about various machine learning algorithms.
Knowledge of different areas of mathematics, theory of algorithms, different programming languages. I am a fourth-year student at the Taras Shevchenko National University of Kyiv, majoring in Computer Science. During his studies he gained knowledge in the field of database management and decision support systems. Took courses in data science, where he gained knowledge of various machine learning algorithms. More than a year, he worked at SoftIndex LLC as a Junior Data Scientist and was involved in the creation of software solutions for data processing and analysis. I specialize in clustering and regression also have experience in working with CV and NLP. I am familiar with such a side of ML algorithms as evolutionary computations and have a full understanding of the logic of how algorithms work.. I dealt with such databases as mysql and clickhouse.

For myself, I wrote such projects as: programs for the analysis of specific data, scripts for obtaining data from various sources and their further processing, various tools that interacted with the API, as an example of the Amazon API, the project with the use of which was commercial, a decision support system, CIFAR-10 - Recognition of objects in images. Dogs vs. Cats Redux: Kernels Edition, Implemented basic machine learning algorithms without using special libraries
Точно не Front end
Position: Junior Data Scientist
Category: Data Science
Experience: 1.5 years | English: fluent


Machine learning: understanding of supervised and unsupervised algorithms as in CS229 Stanford class using R and some Octave (Linear models, SVM, kNN, PCA, XGBoost )
Data wrangling and cleansing on both client (R) and
database sides (SQL, CDHadoop);
Statistical data analysis (SPSS, R-programming);
Scientific skills (ability to formulate and test hypotheses);
Data visualization development (d3.js, THREE.js);
Dynamic presentation skills to the broader audience.
Position: Junior Data Scientist
Category: Data Science
Experience: 0.5 years | English: intermediate


Manual QA - from October 2022
Testing web and mobile app
Instruments: Google Chrome(Devtools), Trello, Microsoft Excel.
_______________________
Pet Project:
GoitWeb - Personal Assistant
git hub. com/IamHatefull/goitWEB_Project
Technologies: Python, HTML, CSS, Docker 
Framework: Django 
Database: PostgreSQL 
About project: The goitWEB is a tool with handy features, including the ability to make contacts, notes, and lists and search for specific information.
Position: Junior Data Scientist
Category: Data Science
Experience: 0 years | English: intermediate


Master Student in Computer Science, Data Science, System Analysis. Looking for the position of Junior Data Science Developer. Skills: Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, TensorFlow, Jupyter Notebook, SQL. Very fast learner, high motivation.
Position: Junior Data Scientist
Category: Data Science
Experience: 0 years | English: upper


My certifications: 
- C++ (OOP, data structures & algorithms)
- Python for Data Science 
- SQL basics
- machine learning concepts 
I'm interested in sharpening my data analysis skills while can help my team to apply mathematical techniques.
Position: Junior Data Scientist
Category: Data Science
Experience: 0 years | English: upper

An undergraduate student (3rd year) of Taras Shevchenko National University Of Kyiv, Faculty of Computer Science and Cybernetics. I have completed Data Science Fundamentals course, where I worked with both image and text classification using Supervised and Unsupervised ML algorithms. Besides, I have finished Udacity courses connected with AWS and ML, along with Intro to Deep Learning with Pytorch. I have a strong math background in probability and statistics attained both in my University and Coursera courses.
My final project in DS Fundamentals course was connected with predicting house prices from Kaggle dataset.
I also worked with OpenCV detecting geometric shapes on the video and denoised autoencoders on PyTorch.
I would like to gain hands-on experience in DS/ML projects.
Position: Junior Data Scientist
Category: Data Science
Experience: 0 years | English: pre

I have developed an adaptive product matrix for distributor goods procurement.
My Project as Data Scientist: Cross Reference Search In Automotive Starter Components (Drives).

Built a classification model to identify invalid and new cross-references. Achieved 99% accuracy in detecting invalid cross-references and up to 96% accuracy for new cross-references.
I am seeking an engaging project centered around AI, working alongside a team of passionate enthusiasts.
Position: Junior Data Scientist
Category: Data Science
Experience: 1 years | English: upper

My accomplishments:

Autisim Prediction competition № 82 in the leaderboard on Kaggle.
I also earned some certificates:
AWS Cloud Technical Essentials
AWS S3 basics by coursera
(also AWS certificate) Analyze Datasets and Train ML Models using AutoML by coursera
Introduction to Data Science by IBM
PyTorch Basics for Machine Learning by IBM
Computer Vision and Image Processing Fundamentals by IBM
And more on my linkedin account.
My projects(couple of them): 

Propaganda detecting bot (Teamwork with mentor from the company)
university NLP project
Me and my team made dataset by our own. We  parsed text in telegram in two languages,
russian and ukrainian.
It was binary classification.
We used neural network to predict whether text was russian propaganda or normal one.
After model We created telegram bot.
throughout the project We had our own mentor, and in the end workers from company "SoftServe" gave us a score.

Movies recommendation system (with cosine similarity)
In this project I tried to create recommendation system on similarity between different columns which represent films.
First of all I processed a data. Then I vectorized data and I found similarity matrix with cosine similarity.

Wikiracing UA(docker exp)
Worked with postgres which was running in docker container to store my data from different wiki pages.
I cleaned data in order to store only useful links and only on ukrainian wiki.
Analysis was performed in jupyter-notebook.

My website (blog)
I wrote backend and frontend for my website.
It supposed to be blog about Japan.
You can see this project on my github.

REST API with flask (Paper work in university)
I wrote REST API for students assessment system.
I used postgresql as database with SQLAlchemy. 
Also I used alembic for migrations.
In addition to this I wrote unittests for my system.
Position: Junior Data Scientist
Category: Data Science
Experience: 0 years | English: upper


* NLP project for my Engineer’s Thesis. It’s about predicting the price movement of financial instruments which news about by analyzing its header. 

* Oscar DataBase (with Selects, Triggers, Procedures )- entity-relationship diagram for the database for collecting information on the Oscar Film Academy Award
• Vertabelo
• Oracle,MicrosoftSQLServer • T-SQL,SQL

* Crime Scale Prediction - the aim of the study is to develop a model to predict the crime scale of a new region, knowing its demographic data. 
• Steps :
    Data analysing
    Data cleaning
    Working with skewness
    Model building and evaluating
    Choosing hyperparameters
    Stacking

* ETL-Vehicle-Service
• VisualStudioSSDT-BI • MicrosoftSQLServer • T-SQL
Position: Junior Data Scientist
Category: Data Science
Experience: 2 years | English: fluent

I have been working as a market analyst and now developing my career in data science.
I have completed several courses in this specialization:
- “Data Science, R language”,  Infopuls Univer
- “Python basics”, Prometheus online platform
- “Data Visualization”, Prometheus online platform
October 2012  - April 2016: Market Analyst, GfK Ukraine 
Duties:
- Processing, cleaning and analyzing market data
- Data quality check
- Preparation of regular (weekly & monthly) client reports with key market trends review
- Preparing market overviews and press-releases
- Analysis of client's market position and generating insight and recommendations

May 2016 – August 2017: volunteering in different areas (3D Modeling and 3D printing, hostel management, farming and construction, translation, etc.)
Being an market analyst I am developing myself as a data scientist.
Looking for real project experience.
Position: Junior Data Scientist
Category: Data Science
Experience: 1 years | English: pre

Bachelor’s degree in Computer science(Kyiv Polytechnic Institute)

My models have increased conversions and the average
check, they are still working in production and performing
important analytics
- Parsing and preprocessing data from different sources
- Probability estimation of sport events
- Creation of algorithms for forecasting sports events
- Recommendation system
- Classification of comments in social networks
- Creating users scoring models
I will be glad to any proposal related to data science or machine learning.