lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper


I have fourteen years of academic research experience in applied mathematics. This allows me to study the latest publications and look for the best method for solving real-life problems. The freelancer experience as a data scientist \ machine learning engineer allows finding the optimal technical solution of the found theoretical approaches.
Position: Data Scientist
Category: Data Science
Experience: 2.5 years | English: upper


I have gained skills to become a data scientist by learning either Python and/or R and covering skills like data visualization, machine learning, big data, natural language processing and more. Skilled in Python, R, SQL, PowerBI statistics and machine learning on large datasets. Extracting useful, actionable insights and presenting them tostakeholders with ‘business friendly’ presentations, dashboards and automated reports. Talented and highly motivated individual with excellent organizational skills and a good eye for detail.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: upper


I have good experience in Gambling and Game industry. Currently, I am data analyst in one of the company in Azerbaijan. I prefer R, Tableau and other tools. Probability and statistiscs are very important skills in my case.
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: upper


I have graduated from the Kharkiv National University of Radio Electronics (KNURE), Faculty of Applied Mathematics and Management, Department of Applied Mathematics.
At the moment I am a postgraduate student of the Department of Applied Mathematics, direction System Analysis.
   During my studies from 2012 - 2018 there were academic courses in various programming languages and technologies (C++, C#, Java, SQL, web (HTML, CSS, php, JS), Wolfram, R).
   At the university, I was constantly engaged in science, participated in student scientific conferences, competitions of scientific works. 
   In 2017, I got my first job as a Data Scientist. This work combined the world of mathematics already familiar to me and supplemented it with new technologies and modern programming languages. There I performed many different tasks, mainly in collecting and preparing data, processing and storing it. Wrote various calculation scripts in R, tested the product, checked the logic and functionality. There were always database tasks (Postgres SQL), including writing queries for the frontend.
   At my last job, I immediately switched to Python; Python gives more opportunities for production, and the community develops faster.
    During over 5 years of work in this company, more than 30 different projects have been successfully completed, not counting small tasks and requests. I worked in the risk management department, most of the technological tasks were on my side (ML, DS, other AI techniques) and I also supported the statistical direction if necessary.
Here I got acquainted with Artificial Intelligence and learned how to train neural networks, build scoring models, translate business problems into technical language and solve them using machine learning methods.
Position: Data Scientist
Category: Data Science
Experience: 6 years | English: upper

I am usually the leader of my teams and our success is always based on saving time or getting value, for example in the political consulting firms I have worked for we have managed to lower the CAC by 75% using NLP and predictive machine learning, plus we save the lawyers hours of time looking for their case.
I have had computer vision, tabular data and NLP projects, working with political consulting firms analyzing social media data mostly text and creating value from that. 
My last project was for lawyers creating a case law search engine accompanied by an entity extractor that saved weeks of work for a lawyer, basically a paralegal.
I look forward to a good culture and projects that challenge me as a professional and in which I can support my colleagues.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: fluent


I have half a year experience working with a finTech company here in Ukraine. During this time, I have been working with credit scoring model development tasks, e.g. data manipulation in Python, analysis, feature engineering and feature selection, model development as well as literature research in credit score prediction approaches.

In addition, I have two years of experience assisting students in completing their data science projects. I used Python (Jupyter, PyCharm) in my work, such libraries as pandas, numpy, matplotlib, and scikit-learn, familiar with Keras, TensorFlow. 

I have completed several MachineLearning courses and a DeepLearning Specialization by Andrew Ng. And I have read all the articles in Computer Vision that Andrew Ng recommended in the specialization.

Currently, I am looking for a Data Science position to further develop my professional skills and gain a real mastery in the field.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper

For 2 years, I have led a team from the project start to the deployment of firmware for 5G&LTE Gateways based
on OpenWRT.

As for my Data Science profile, during my Masters I did 2 interesting projects:
1. Evaluation difficulties and generation of the bouldering routes specific to 12Climb board. Both tasks used LSTM NN based on architectures specific to the bouldering domain developed at Stanford.
2. Assessment of the total amount of volunteer assistance in Ukraine. My part was to scrape fundraising messages in Telegram, parse them using regex and analyze the results.
I have just finished the first year of my Master's degree in Data Science at Ukrainian Catholic University. With
ground knowledge in Linear algebra, Statistics, Machine Learning, and Deep Learning, I am now searching for a
job to apply my knowledge in practice.

I have 5 years of commercial experience as Linux Networking Developer and Team Lead, so I am used to working
in a team, following Scrum processes, and working with other common developers tools.

Additionally, I am also interested in finding a research topic and mentor for my future Master's Diploma that will
be related to my field of work.
Position: Data Scientist
Category: Business Analyst
Experience: 0.5 years | English: upper

I have achievements generally in business fields and different projects, but I am also keen on learning data fields and codding
I have less than one year experience but I am studying at University of Tartu in master degree, and I have learned many skills and knowledge about data analysis and machine learning in R, SQL and Python, and also I have worked data scientist intern.
it is okay, I dont have any problems
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper

I have been learning Python and Machine learning for two years. During this time, I have acquired the skills to effectively solve a wide range of practical problems in the
field of Data science. As a testament to my projciency, I have obtained certificates in
both Python programming and machine learning.
I have mastered the classification, regression, and clustering algorithms in machine learning. I have learned such python software libraries as Pandas, Scikit-learn, NumPy, Matplotlib, Seaborn, and SciPy.
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: intermediate

I am officially Tensorflow Certificated Developer.
I have a StartUp about sign language translator.
I have participated in International ICPC olyimpics.
I have more than 1.5 year experience in Deep Learning and mostly on Object Detection field. I have build my custom Object Detection model for drones with OpenCV and YOLOv3. I am officially Tensorflow Certificated Developer! After weeks of preparation and hard work it was unique and enjoyable experience for me to solve the cases about NLP, CNN, Time Series forecasting and basic Tensorflow questions during 5 hours. I have also experience with EdgeTPU, Nvidia GPU, Machine Learning, Deep Learning, Python, Tensorflow, PyTorch, DarkNet, Statistics, Math for AI, Data Mining,Exploratory Data Analysis, Feature Engineering, Data Visualization, Convolutional Neural Network, Computer Vision (OpenCV), YOLOv3 ,Natural Language Processing ,Artificial Neural Network ,Time Series, Transfer Learning, Linux OS, DeepStream SDK
I expect to work in a kind environment with gentle team members
Position: Data Scientist
Category: SQL
Experience: 8 years | English: intermediate


I have more than 8 years  experience in working with the  data. Personally, my role as a data analyst involves collecting from open source, cleaning, and visualization statistical data  to help the costumer of my company to understand the market.
  , I used Excel tables, Google Docs,and I have a Google Data Analyst certificate.  Also i have  basic knowledge of data analysis in Python using the Pandas library.
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: fluent

Ph. D. in Economics, more than two dozens of publication papers (full list upon request). 
Educational YouTube channel devoted to explaining basics of machine learning and deep learning for non-STEM students.
"Machine Learning, Data Science and Deep Learning with Python" course completion certificate.
A couple of side-projects available on my Github.
I have more than 8 years of academic research working as a lecturer and associate professor. Throughout that time I built plenty of macroeconomic models, mostly working with time series, real-world economic data using such software as Statsoft Statistica, SPSS Statistics, and a bit of Matlab and RapidMiner.
Last years I started working with Python machine learning libraries to have more tools and flexibility. 
Detailed work experience available in my resume.
Looking for a company (of any size), preferably with an experienced tech lead, that will allow me to apply my skill set and grow, with a friendly atmosphere, remote/international if needed.
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: intermediate

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I have more than five years of experience as a data scientist. During this time, he participated in the creation of many projects from the formulation of the task to the implementation of prod. I have experience in such areas as NLP, Time Series, Retail, CV, and Telecom. Open to interesting tasks in any arias.
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Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper


I have more than one year of experience in the field of Data Science. Through taking a 5-months Bootcamp and various online courses, I have gained knowledge in the following topics:
- Python for Data Science
- Statistics for Data Science
- Data Science with SQL: I worked with data, wrote T-SQL queries accordance with Microsoft SQL Server standards and appropriation knowledge. I learned Data processing using complex functionality, rules for using relationships between objects in complex queries, Database types, and creating and managing database objects.
- Power BI training: I learned how to import data and data manipulation, web scrapping, get the data-Python script, data cleaning, working with choose columns and rows, replacing values and setting the proper format for variables, grouping by, merging, and appending datasets.
- Professional Data Science with Python ( Data preprocessing and Data Visualization, Introduction to Machine Learning, Professional Machine Learning).
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: fluent

For many years, I've been actively engaging in numerous math and algorithm competitions, triumphing in multiple both local and international events.
I have most of my experience in R&D, mainly machine learning and algorithm analysis.
I was working on an indoor positioning system. I was using Python and its libraries (mainly NumPy and Scikit-learn) to process, visualize and analyze data. My main task was developing and optimizing an algorithm for finding accurate user positions inside the huge modern buildings.
Also, I have experience in low-level algorithm development for graphs with efficient cache usage. I was creating and optimizing systems for dynamic graph storage and query processing.
Also, have a bit of experience in back-end development for fintech-product with banks' assessments.
I'm searching for new job offers for challenging projects and would probably like to try to work with some interesting ML or AI algorithms, however, I'm also interested in any kind of algorithmic/optimization problems.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper


I have no commercial working experience, but I am actively learning and creating my own projects in order to gain practical skills that will be useful to me in the future. I'm constantly striving to improve and learn more about new developments in data collection and analysis, and my eager-to-learn outlook allows me to learn and develop throughout my career.

I use following technologies to create my projects:
- Scikit-learn library for model creation and evaluation
- Pandas for data preparation and preprocessing
- Matplotlib/Seaborn for data visualizing
- PyTorch for creating and fine-tuning NNs
I love to solve classic data science problems such as regression, classification and clustering. I also want to try some new things like working with time series, A/B testing and Computer Vision.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: fluent

Experience (university projects): * phonetics: - praat script for formant synthesis of vowels; - manual praat analysis of Ukrainian speech; - comparative analysis of tts systems for English, Ukrainian and Russian; - testing of Ukrainian stt system; - a program for automatic (de)normalization of Ukrainian texts as a pre or postprocessing for tts or stt systems (volunteering); * morphology: - code that converts verbs to adverbs for the Ukrainian language; * lexis: - an electronic version of a printed dictionary with a command-line interface; * course paper: - explores mainly formal traits of poorly written science/academic articles; - a program to preprocess texts (uniforms it); - a program that automatically creates a couple of corpora, collects and calculates the traits in each text; * other: - localization for citation style language (Ukrainian). During this summer I attended Grammarly CompLing School, which covered classical NLP methods mainly.
I have no hands-on experience yet, but I'm eager to gain it. During my studies, I completed a couple of different projects, including creating an electronic version of a printed dictionary (with a command-line interface), formal feature detection and automatisation of corpora creation, contributing to the Corpora of Ukrainian Language, tts and stt systems testings.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper

I have taken various machine learning and deep learning courses on the Coursera platform. Half a year ago I took part in the INT20H hackathon and my team took third place. Several times I tried my hand at Kaggle competitions.
I have no previous work experience.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper

I'm currently getting a computer scientist degree, spending all my free time on sharpening my data science skills, besides that I take  data science courses and read data science and big data study books!
I have no work experience, but I'm very passionate to work as data scientist! I'm going to work as hard as i can to achieve my goal! So far I didn't have a chance to show my abilities of a data scientist in a professional setting, but I have been dedicating myself to self-study and learning everything I can about the field. I have taken online courses, read books and articles, and worked on personal projects to develop my skills in data analysis, machine learning, and programming languages such as Python. Even though I have not yet had the opportunity to work on real-world data problems, I am confident that with my determination and passion for the field, I will be able to make valuable contributions as a data scientist and bring innovative solutions to complex business problems. I am excited to learn from experienced professionals and to collaborate with a team to apply my skills and knowledge to real-world challenges.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: fluent

1. IBM Data Science professional certificate
2. Introduction to Python (Data Science) by DataCamp
3. Programming Foundations with JavaScript, HTML and CSS by Duke University
4. Programming for Everybody (Getting Started with Python) by Michigan University
5. IELTS Academic - Overall Band Score 6.5 (Expiration date: November 2022)
I have no work experience with the exception of virtual Data Analyst internship with Forage & KPMG Australia.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper

I successfully finished GlobalLogic BaseCamp C++ but I decided to try Data Science. I haven’t had a commercial experience yet. But I am being the leader of a start-up(university project) that develops robot lawnmowers and being responsible for Computer Vision improved my soft and hard skills. I realize there is lots of work to be done to create MVP but there aren’t any easy ways.
I haven’t had a commercial experience yet.
While I was the leader of a project that developed a robot lawnmower I was responsible for Computer Vision. I used TensorFlow to implement CV.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: upper


I have over 5 years of experience in data analysis especially in the TV industry, where I use all my analytics skills, mathematical and programing background for data processing as well as my soft skills for presentations and meetings. In addition, I developed machine learning models for computer vision, audio recognition, and word processing. I prefer Python programing language, because it cover almost all my needs, and I know it since university. In 2018 graduated from Kyiv Taras Shevchenko University with a master degree in applied mathematics.
Looking for a job with competitive salary and interesting tasks.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper

Developed a comprehensive labeling and custom object detection system by implementing a custom labeling tool using Python and Tkinter. Created training and prediction pipelines, built a RestAPI using the FastAPI framework, and deployed the entire system using Docker technologies.
 mindcraft.ai
 
Applied homography for image transformation.
Implemented instance segmentation using Mask-RCNN and TensorFlow. Utilized NumPy for optimization algorithms.
Built an object detection system using YoloV7.
Developed modeling systems for real-life applications.
Calculated confidence intervals for price prediction tasks.
I have over three years of experience in Programming & Data Science, specializing in Python, Computer Vision, Machine Learning, and Optimization algorithms. As a Team Lead, I have successfully managed projects in these areas.
My responsibilities as a Data Scientist span the entire data cycle, from preprocessing to developing decision-making systems. I have a strong foundation in Computer Vision (CV), Natural Language Processing (NLP), and Mathematics. I have experience in various technologies, including PyTorch, TensorFlow, CatBoost, LightGBM, XGBoost, scikit-learn, Hyperopt, Docker, and FastAPI.
Driven by ambition and a passion for learning, I continuously strive to excel in every task. I am committed to expanding my expertise and staying updated with the latest advancements in the field.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: fluent

- Helped a company improve and optimize their reporting process that reduced reporting time by 75%
- Utilized Marketing analytics that helped improve sales leads by 30%
- Participated in an Financial hackathon and emerged among the top 5%
- Awarded as the Most Promising Data Scientist
I have over two years of experience working as a Data Scientist in Finance, Consulting, Edtech and Energy industry. Over these years, have been able to generate insights that have helped these companies improve their productivity and ROI. In the finance sector, I have carried out projects in Fraud detection, Insurance prediction and Financial Inclusion. In consulting, I helped a company to work on Employee attrition rate and was able to predict employee attrition with 85% accuracy. I have also worked on marketing analytics, where I helped an edtech company understand their market and advised them on  how to invest in advertising the company's product. In terms of NLP,  I worked with a legal firm to understand cases between an appellee and an appellant. In all these project, I have utilized various python packages like numpy, pandas, matplotlib, scikit-learn for data cleaning, analysis and predictive modelling. I have also utilized Microsoft Excel, Tableau and Power BI to create interactive dashboards.  I currently work as a Data Analyst at an Energy management company where I am build dashboards using power bi and utilize MySQL to store our data while also doing some machine learning research.
A small team working on a product looking to apply new technologies or optimize their current processes and approach.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: fluent


I have participated in two data science projects so far. One is on-going cooperation with gainkit.com and another was freelance job on the Upwork.

About Gainkit:
Website suffers from users which find fraud ways to abuse and siphon
money out of it. Using website's database, I created stacked model (with
tree-based models inside) which identifies such users with ¬92%
(tested with cross-validation). Deployed model as API using Heroku
(PaaS). Currently me and website owner are testing model on new
users and working on further variables engineering to boost model's
performance.
Libraries used: numpy, pandas, matplotlib, seaborn, ipinfo, datetime, scipy, sklearn, lighgbm, xgboost

Upwork job:
First task was to optimize hyperparameters for four different
models so when they are trained on new datasets they would show
best performance on average. Second task was to perform feature
selection pipeline with criterion developed for customer. In addition,
created manual which explains how to add new model to the pipeline
Libraries used: os, ast, datetime, pandas, numpy, matplotlib, seaborn, sklearn, lightgbm, xgboost


I have also about 5 years of experience in investment banking. Mostly I worked in the back office as a reconciliation specialist in UBS and BNY Mellon, reconciling clients' accounts, positions, various instruments trades and cash flows.
In Credit Suisse, where I currently work, I am working in the trade management helping London traders to facilitate their business. Mostly that business is in interest rate instruments (especially swaps). My responsibilities are mainly related to trades margin optimization, portfolio compression - i.e. decrease number of trades in traders portfolios with cooperation with intermediary and other banks to decrease bank's liabilities. Also I have worked on few automations using python.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: fluent


I have Python experience with building Dashboards using Plotly Dash. I have used SQL, Python, Excel in my day-to-day jobs. Besides, I have experience in Data Science using Python libraries. Projects I have worked included in my Github profile