lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Scientist/Analyst
Category: Data Science
Experience: 0.5 years | English: fluent

RELEVANT
COURSEWORK
UCSD:
Convex Optimization and Applications Spr ’15
Applied Statistics Wint - Spr ’15
Design and Analysis of Algorithms Wint ’15
Machine Learning A,B Fall ’14 - Wint ’15
The Mathematics of Finance Wint ’14
Nonequilibrium Statistical Mechanics Wint ’14
Computational Physics Fall ’13
Coursera:
Algorithmic Toolbox Spr ’16
Applied Machine Learning in Python Fall ’17
Introduction to Data Science in Python Fall ’17
Math and Python for data analysis Fall ’19
Quantitative Developer in investment risk management team

•Maintained daily monitoring and commenting of VaR and margin exceptions in prime brokerage portfolios for Risk Management group.
•Prepared quarterly reports for the portfolios and assisted in explaining numbers of market driven exceptions to comply with Basel Accord.
•Developed in python (pandas) a tool to discriminate between market- and typical data-driven exceptions and to comment on them.
•Systematized data-driven exceptions and communicated detected issues to the IT team for resolution.
Position: Data Scientist/Analyst
Category: Data Science
Experience: 1 years | English: upper


Supply chain manager
 Developed a reliable supply chain with up to 10 foreign manufacturers;
 Managed all the logistics from foreign manufacture to the company’s warehouse;
 Ensured the cost-efficient and timely supply of over than 25 shipments.

CSO – Chief Sales Officer
 Formed a partnership with a network of the biggest home improvement hypermarkets in Ukraine;
 Successfully entered the online market and arranged a flow of new customers from the biggest online selling platforms;
 Introduced a business strategy which helped the company to become the largest Ukrainian seller of camping gas stoves, both in terms of revenue and number of sold units;
 Led a team of 5 sales managers.

National Anti-Corruption Bureau of Ukraine
Assistant Detective (Internship)
 Assisted detectives in investigation of corruption offenses committed in Ukraine;
 Analyzed all sorts of data in order to identify signs of corruption offenses.
Position: Data Scientist\Analyst
Category: Data Analyst
Experience: 1 years | English: fluent

Top-5 student at Ukrainian Catholic University (UCU) during the last three years. ML\DS internships at UCU, West Virginia University, and New York University.

For international projects: Besides English, I have a C1 level in German.
I have experience in studying and working with various ML models and DL basics (PyTorch & Keras). Quite more experience with regression analysis, reinforcement learning, clustering and forecasting.

To my recent projects & activities belong:

A two-month internship as Research Intern at WVU Rockefeller Neuroscience Institute. The primary task was to conduct research on applying neural networks to solve inverse-kinematics problems.

A two-month internship at the Center for Responsible AI at NYU. The primary task was to conduct research on demographic data quality in terms of inequality of dirtiness amount within specific demographic data clusters (by race, age group, gender etc.)

A year1.5- internship at UCU Machine Learning Lab. The primary task is to integrate the already constructed mechanism that solves the 4-point problem via homotopy continuation into Structure-from-Motion (SfM) and Multi-View Stereo (MVS) pipeline called COLMAP.

Half-year experience as a junior Data Scientist for the Competera pricing platform. Primary tasks include constructing and maintaining forecasting models, and research on Reinforcement Learning applications for pricing optimization.
I am looking for an offer in the Data Science\Analytics domain to apply the aforementioned experience & knowledge.
Position: Data Scientist/Analyst/ML Engineer
Category: Data Science
Experience: 2 years | English: upper

Multiple prizewinner of mathematical olympiads and research competitions up to national and international stages. Have scientific and methodical publications.
Helped to increase the performance of existing models at previous work by up to 15 percentage points.  Consolidated various data sources to provide a new fraud validation system. Successfully created an autoML scoring model and implemented it in production, which helped automate a significant part of the scoring analytics processes in the department of the current company.
I have worked in the banking/fintech sector as a data scientist/machine learning engineer for 2 years. I used to make models from scratch to their implementation and provide actualization/validation of existing models to increase their performance. Have a solid knowledge of applied mathematics/statistics.

Primary expertise: classical machine learning algorithms for regression, classification, clusterization problems, anomaly detection, dimensionality reduction, and time-series analysis.
I prefer to work focused on data/statistical analysis and the development of predictive models. Also would be great to provide research and to have the possibility to apply cutting-edge algorithms at work + to participate in interesting and challenging projects.
Position: Data Scientist\Analyst, Python Backend developer
Category: Data Science
Experience: 4 years | English: upper

Graduated from ML course at Hillel IT School
I have strong math skills. Good understanding of Ml algorithms. Critical thinking and analytical mind. Enjoy asking various questions to a dataset and use answers to adjust a model to improve results.
I have 9 months of experience in Python(Django) development. I Have developed an automation script for google spreadsheet on UpWork and a scoring  model for the bank.
Opportunity and Experience
Position: Data Scientist and Data Analyst
Category: Data Analyst
Experience: 5 years | English: upper


Self-motivated, enthusiastic and technically advanced guy from Georgia.

I have been working for National Assessment and Examination Center of Georgia as a psychometrician for years. 

I used to work with ItemResponceTheory framework with various softwares as Flexmirt, Bilog, Multilog, TeaPlus , e.t.c. and Hierarchical Linear Modeling (HLM), Structural Equation Modeling and Multilevel (SEM)

I have been paticipaiting in big projects as National and International assessments and in Computer Adaptive Testing based on Item Response Theory.

I have got strong background in statistics theory.

During  last ears I have deen widely using softwares as MS Excel, SPSS Statistics, Wolfram Mathematica. 
I also have been widely using proraming languages Python, C++ and R for efficient processing of heavy data.
Position: Data Scientist and Machine Learning Engineer
Category: Data Science
Experience: 3 years | English: fluent

Currently working on a research to publish a paper with a [CONFIDENTIAL] project that uses reinforcement learning and transformers.
Over the course of my 3-year tenure as a data scientist, I have honed my expertise in various domains, leaving an indelible mark on the field. Notably, I have made significant contributions to the realm of forecasting commodity prices, employing advanced data modeling techniques to provide accurate predictions for market trends. Through meticulous analysis of historical data, I developed robust models that empower businesses to make informed decisions, navigate market volatility, and optimize their operations.

Beyond the realm of financial forecasting, I ventured into the realm of artistic expression through data science. I successfully created an innovative art generation model, leveraging Generative Adversarial Networks (GANs) to produce mesmerizing and unique pieces of artwork. This intersection of art and technology showcases the power of machine learning to push the boundaries of creativity and imagination.

However, my passion for data science extends far beyond financial and artistic applications. I have dedicated myself to the realm of medical research, developing cutting-edge models for breast cancer detection and segmentation, as well as brain tumor detection and segmentation. By harnessing the power of computer vision and deep learning algorithms, I have contributed to the early diagnosis and treatment of these life-threatening diseases, potentially saving countless lives.

I also have a strong proficiency in building end-to-end machine learning pipelines. From data preprocessing and feature engineering to model selection and evaluation, I ensure the seamless integration of ML algorithms into real-world applications. Moreover, I am well-versed in deploying models on scalable platforms, enabling the efficient deployment and utilization of predictive models.

In addition to my technical prowess, I possess a keen ability to analyze complex datasets, distilling valuable insights and actionable recommendations for stakeholders. By leveraging statistical techniques and data visualization, I transform raw data into meaningful narratives, empowering organizations to make data-driven decisions.

My 3-year journey as a data scientist has been marked by diverse accomplishments in forecasting, art generation, medical research, ML pipeline development, model deployment, and data analysis. With a passion for pushing the boundaries of what is possible, I am poised to continue making significant contributions to the world of data science.
Please do not offer for complete Data Engineering jobs. As I only work with already collected data. Structured or unstructured is fine. I can clean data and make it suitable for training.
Position: Data Scientist and Python developer
Category: Data Science
Experience: 0.5 years | English: intermediate

I'm interested in machine learning
In "Ózbekistan Temir Yóllari" AJ company I worked as Python developer and Data scientist. In this company, I wrote SQL queries, forecasted some quantities that related to the company. I worked with Python, Django, numpy, pandas, data visualization and machine learning algorithm
O don't know
Position: Data Scientist / Backend Developer
Category: Python
Experience: 7 years | English: fluent


I am a widely qualified professional intending to continue my development in Data Science and Backend-development. I think in terms of efficiency, I have a system mindset and like to go beyond the system boundaries. I am initiative, goal-oriented and friendly. I like doing my job well.
Position: Data Scientist, Backend Developer
Category: Data Science
Experience: 0 years | English: upper

I have read "Neural networks and deep learning" by Michael Nielsen, "Learning Scientific Programming With Python" by Christian Hill and I`m currently taking "Practical AI with Python and Reinforcement Learning" course by Pierian Data on udemy
I have 2 python pet projects that were actively used and 2 Neural Networks i made for fun
Position: Data Scientist, Big Data
Category: Python
Experience: 2.5 years | English: intermediate


SQL, SAS, R, Hadoop, Python
Work in IT company. Area--big data, modeling, data analysis
Position: Data Scientist & Big Data Engineer
Category: Python
Experience: 4 years | English: fluent

creation of end-to-end data pipelines in on-premises as well as in cloud environment
build maintainable, scalable and efficient ETL solutions for different business cases using relational SQL databases as well as distributed cloud solutions (Spark, Databricks, Azure Blob Storage, Azure Data Factory etc.)

apply statistical and machine learning techniques using Tensorflow, Keras, Scikitlearn, Scipy etc

Projects that I have been working on belong to the following areas:
* Fraud detection on top of the General Ledger (Accounting)
* Transition of Applications to Azure Cloud  (Finance)
* OCR/Computer Vision (Accounting)
* Development of Customer Life Time Value algorithms (eCommerce)
* Valuation of derivatives (Banking)
Position: Data Scientist, Business Analyst
Category: Data Science
Experience: 2.5 years | English: fluent

Since 2014 I have been working abroad, but currently, for past 4 years, I based in France. I used to work a lot on different projects as a research scientist in different scientific institutions (mainly related to the statistical analysis in particle physics domain and in numerical and statistical modelling for the atmosphere physics). I obtained maseter in Nuclear physics in Ukraine and Master of Energy in France. Currently I am working as a Data Scientist/Analyst in a financial consulting start-up.
2019 - Present, QuantCube Technology, Paris, France: Collecting, preparing and analyzing data from different heterogeneous sources; developing macroeconomic indicators for medium and long term investments : predicting Price of Energy Commodities; 
predicting Business Cycle Phase & Economical Growth; identifying Leading Economical Indicators(LEI) for G7 countries on the base of statistical models; constructing Composite Leading Indicators (CLI) on the base of OECD for G7 (Bry Boschan routine)
////////////////////////////////////////////////////////////////////////////
2016-2019, CEA, Saclay, France: Pre-processing of the input data for the high-resolution atmospheric-transport model(ATM) driven by the meteorological data; analyzing and filtering different version of the satellite data of the emissions of the carbon dioxide;
comparing satellite's data with the data from the ATM and with the ground-based measurements: seasonal and annual variation;
creating a new technique that characterizes the plume of CO2 for potential inversions: representing plume from 3D space to the 2D pixel based grid as seen by a satellite; constructing set of parameters for the potential inversion(reconstruction) of the CO2 emissions from the total column of XCO2; preparing scientific talks, posters (IWGGMS 2017, EGU 2018, CNES 2018)
At the current palce the managment and team work itself just does not exist. The CEO is giving a project that he took from some rumors in the subway. Due to the so quick change of mind of the company there is no chance to developpe any solid skills and to achieve some reasonable results. 
I would like to work on more technical tasks, prefarably in NLP or image processing where I can use my mathematical skills. Risk analysis or financial problems solving are also welcome.
Position: Data Scientist, Business Analyst, Business Intelligence, Data Architect, Power BI
Category: Data Science
Experience: 11 years | English: fluent

Major results

Automated the reporting (1,7K+ reports) and BI processes within 6 months for a global corporation (10К+ employees), built a new BI team (previously 80+ FTEs, now 6 employees)
Ensured intense customer progress within the data maturity model: from ordinary reporting to predictive analytics involving machine learning algos

Automated the reporting with VBA, cut costs in the analytics efforts up to 90% via the introduction of innovative solutions with Power BI for an international consulting company
Designed and introduced holistic KPI systems for various departments and projects incl. Balanced Scorecard and Building Blocks
Led the financial planning and budgeting process, defined and introduced control actions reporting 
Created a reporting framework for cascading and streamlining all the company functions incl. Operations, Marketing, HR, Finance

Saved up to 80% with Power BI vs. custom development for a software development company
Getting things done is my greatest passion. What was your vague idea yesterday becomes a reality today and generates value for your customers, partners, stakeholders, and the world at large. 
I achieve this by letting your data drive the formulation of SMART targets, developing efficient and insightful plans, and by monitoring performance on tactical and operational levels to find appropriate corrective actions on deviations between actual and planned results.

Key facts and figures
15+ years - Business Intelligence
10+ years - SQL, Stakeholder Management, Team and HR Management
10 years - Finance: P&L, forecasting, budgeting, performance analytics and performance management, investment appraisal, working capital and cash flow management
8 years - Product Owner
7 years - Marketing and Business Development of the IT products
5 years - Risk Management
4 years - Power BI (DAX), Power Query (M), Power Pivot (DAX), VBA, Python, R (for regression analysis and econometrics), SCRUM master
3 years - PRINCE2 project management, QA

Industries: learning & development, automotive, HR/recruitment, real estate, insurance, e-medicine, banking, telecom, gaming
We can start on a smaller scale fixed-price project (3-5 days). With minimum risk for you, you can see some real magic. 
Let's discuss your project!
Position: Data Scientist, Business Analytics
Category: Data Science
Experience: 0 years | English: upper

BSc in Applied Mathematics with a major in complex and numerical analysis, financial engineering and international economics.

Data analysis using analytics services (Google Analytics) and BI tools, mastering Python and SQL and their libraries. Data analysis in Power BI (shaping and combining data, Star Schema), Statistics (correlation analysis, confidence intervals, anomaly detection), R Basics, Data Visualization (dplyr, ggplots), Probability (probabilities for discrete and continuous data, Monte Carlo simulations, random variables and sampling models, basics of Bayesian statistics and predictive modeling).
Python (NumPy, Pandas), SQL, Postgres, Rstudio (R Basics), MATLAB, C++, MS Excel, Power BI, Google Analytics. Fluent in English and Russian. Problem-solver, critical thinker, and responsible person.

I always loved mathematics and statistics. To expand my passion, I went on to study Actuarial Science and Applied Mathematics in one of the top English Universities in SA.

My current work experience includes working with data, analysis and forecasting but it’s not so challenging. I am now completing an advanced 6-months entry level course in Business Analytics and Data Science and exploring related job opportunities.
I am seeking an opportunity to apply my skills, knowledge and experience in new promising projects within a thriving industry.
Position: Data Scientist | Business Intelligence Analyst
Category: Data Science
Experience: 6 years | English: fluent

My accomplishments:

Living & working abroad
Doctor degree in Physics
Solid & lengthy experience in scientific & business projects, inclusively with working abroad.

My expertise includes material science, data analysis and interpretation, project management, and the development of software research tools. 

I have experience in scientific and technical writing, as well as experience as a research team leader. I am capable of facing challenges that come with these responsibilities.

Analyzing data for actionable insights is also part of what I do. I aid organizations in identifying the best data-analytics problems. Data sets and variables are selected based on my analysis.

I've been always passionate with data. Currently, I am looking for challenging tasks, where I can apply my knowledge, experience and gain new.
I am interested in learning and applying new technologies.

I am eager to use business intelligence data/ tools to identify and monitor current and potential customers.

I expect to receive timely reimbursement and a stable workplace for long-term cooperation.
Position: Data Scientist, Business Intelligence Engineer, Data analyst
Category: Data Science
Experience: 4 years | English: intermediate


SAYAMA Travel | Thailand, Pattaya (2014 - Present)
Statistical Data Analyst, Product Manager
Project Manager of Online Hotel Booking system
(09/2015-04/2016).
Develop and support statistical reports for
headquarters.
Product manager (hotel, excursion, transfer
prices).
Support clients (all prices ecosystem).

SAMO-Kvantor | Ukraine, Kiev (2009 - 2014)
Software Engineer
Develop MS SQL data reports
Develop PHP webforms
Develop, maintain and conduct trainings for
customers
Support and trainings for customers
Test software

Ukrplastic | Ukraine, Kiev (2008 - 2009)
Technical support Engineer
Use troubleshooting skills to diagnose and repair
tools and environment
Support for the network infrastructure
Work with Linux-based servers
Position: Data Scientist Chapter Lead
Category: Data Analyst
Experience: 5 years | English: intermediate


Customer data analysis and predictive modeling with 
statistical methods using SQL ,Python, Dataiku and Excell
(Preparing BigLead,Cleaned Customer datamarts and etc.)
 Preparation/development of analytical reports/forecasting
and data visualization using Tableau, TIBCO Spotfire 
 Customer segmentation and classification using Machine 
Learning algorithms – Income Estimation Model,Limit 
Increase model, Propency to buy model,Personalization 
model
 Data structure development and Data sharing 
 Scraping and data parse from other sources (XML,JSON and 
etc.)
 Team management and them personal development and 
coordination of team members' tasks
Position: Data Scientist, Cloud Devops
Category: Data Science
Experience: 11 years | English: upper

Participated in the successful migration of the whole Prozorro system from the Amazon cloud to Ukraine. Built ASW-like cloud and moved a lot of data from S3 to Swift.
Built and sold computer vision software for the country-wide retailer.
A professional with a broad outlook and extensive experience. Interested in working with neural networks and artificial intelligence.
I want to improve my skills in data science and machine learning.