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

Certificate
Python for Everybody
Feb 21, 2023
Analysis of airline customer satisfaction data and developed a predictive model.
                                                                                                  
Time series analysis. Forecasting the volume of production of milk products.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: fluent


• Analysis of credit issuance conversions, identifying bottlenecks and insights from data.
• Combining data from several sources, transforming raw data and automating analysis
into readable dashboards (Plotly - Dash).
• Automation of leads (warm clients) generation to telemarketing department.
• Acting as a project manager, conducting daily meetings with software developers,
building backlog, testing and prioritizing tasks, solving problems.
• Managed a crisis of potential loss of money due to mistaken purchase.
• Negotiated with 14 foreign manufacturers on a matter of problematic payments and
future strategy.
• Led a team consisting of 18 sales representatives and 4 office staff.
• Identified the churned customers and the reasons of churn.
• Prioritized clients and estimated the potential under the restrictions caused by
COVID-19.
• Analyzed sales and estimated optimal amount of purchases based on company’s standards.
• Identified lowest margin and turnover products and provided competitive disadvantages.
• Developed and implemented marketing activities such as client’s days, marketing
agreements, bundles for sales increase.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: pre

PhD in Radiophysics.

Сertificates:
Stepik: Indie Python Programming Course by egoroff_channel;
Stepik: Python Programming;
Stepik: Neural Networks and Computer Vision;
Prometheus: Machine learning.
Analysis of sports techniques - an implementation of a technique for multi-player video analysis that involves comparing input videos, assessing their similarity, and delivering accurate feedback on correctness. (MediaPipe, Image Processing, OpenCV, Dynamic Time Warping, Streamlit, Docker)

Virtual Wardrobe System -  the creation of an AI pipeline that allows trying on different types of clothes on the input person image. (Deep learning, Transfer Learning, Thin Plate Spline, Streamlit, Docker, PyTorch)

Style Transfer - applying style transfer techniques for transferring the visual style of one image onto another. (Deep learning, Transfer Learning, FastApi, Gradio, Docker, PyTorch)

Image Captioning - the development of a generation captioning system capable of providing meaningful descriptions that accurately depict the content portrayed in the input image. (Deep learning, Recurrent Neural Network, Embedding Transfer, PyTorch)

Unsupervised Wall Crack Detection - detection of cracks using an unsupervised approach. (OpenCV, Image Processing,  Scikit-Learn, Deep Learning, Autoencoders, PyTorch)

Speech Enhancement -  the creation of an AI model that enhances the recorded human voice and simulates the use of high-quality recording devices. (Librosa, Pydub, PyFFTW, SciPy)
No gambling, bookmakers and microloans please.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: intermediate

All-Ukrainian Economics Olimpiad (03/2019)
2-nd diploma
-Analysis of statistical data
11th-12th laboratory work, DiST
11/2022 - 12/2022,
Analysis of WHO dataset statistics on covid morbidity and mortality, team work(Python/R, Pandas, Matplotlib)

-Data markup
Label your data/DiST
12/2022 - 02/2023, Lviv, Ukraine
Helping company to mark-up the points of delivery of shells by the Ukrainian army using drone video and thus build targeting automation, team work

-Data Analyst Engineer Laboratory
EPAM Systems
07/2022 - 02/2023
Courses for trainee/junior
I do not want to do anything that is not related to Data Science, Data Analysis, Data Engineering
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper


Analyzing large and complex datasets to extract meaningful insights and patterns.
Use various statistical and analytical techniques to interpret data and make informed business decisions.
Visualizations and dashboards to present complex information in a clear and understandable way.
Used python, numpy, pandas, matplotlib.
Position: Data Scientist
Category: Data Analyst
Experience: 1 years | English: intermediate

An ardent programmer, content writer and data enthusiast. I am a Python Full Stack Engineer with 5 years of industry experience. Besides that, my daily job includes mentoring writers to use data-driven analytics to create hypnotizing content that drives leads. My experience in these 2 fields has earned me trust from my clients as I use divergent thinking to approach a problem and converge all the research skill set to solve problems. My huge curiosity and self-learning in the field of Artificial Intelligence and Machine Learning go a long way in this diversifying technological era.
An ardent programmer, content writer and data enthusiast. I am a Python Full Stack Engineer with 5 years of industry experience. Besides that, my daily job includes mentoring writers to use data-driven analytics to create hypnotizing content that drives leads. My experience in these 2 fields has earned me trust from my clients as I use divergent thinking to approach a problem and converge all the research skill set to solve problems. My huge curiosity and self-learning in the field of Artificial Intelligence and Machine Learning go a long way in this diversifying technological era.
Position: Data Scientist
Category: Data Science
Experience: 6 years | English: fluent


An experienced Data Scientist with a long track record of success in Machine Learning, Analytics, and Forecasting. Strong background in Sales and Marketing Analytics and Supply Chain Optimization. Acute analytical skills combined with creative aptitude. Initiative leader and an excellent communicator with strong interpersonal and organizational skills.

Key Skills and Interests:
------------------------
Machine Learning and Deep Learning Applications, Data Modeling, Forecasting and Time Series Analysis, Statistical Analysis, Data Presentation, NLP and CV applications, Cloud Machine Learning Services. 
Kaggle Competitions Expert.
I'm currently not interested in any outsource/outstaff positions.
Position: Data Scientist
Category: Data Science
Experience: 6 years | English: fluent

-BS in Pharmacy
-5+ years of experience in pharmacies and hospitals
-OSHA certificate
-HIPAA certificate
-NIH certificate
An experienced pharmaceutical specialist with 5+ years of specialization in pharmacy and clinical practice in different pharmacies and hospitals and a proven experience in accounting/bookkeeping. Holder of BS in Pharmacy and HIPAA, OSHA and NIH certificates. Fluent in Arabic, Armenian and English with excellent researching skills. Highly competent in Microsoft Office (Excel, Word…).
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper


Antifraud of retail transactional database, NLP project on receives recognition, recommendation system for custom products selection, marketplace credit scoring

Visual dashboards for reporting needs
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: fluent


- API fetching and data collection.
- Time series data imputation.
- Application of SOTA algorithms for time series predictions.

Python, AWS, Matplotlib, Pandas, Numpy, Darts, Seaborn, Jupyter, DeepAR, GluonTS.

All of the other work experience to be found in the CV.
Position: Data Scientist
Category: Data Science
Experience: 2.5 years | English: intermediate


A project that uses algo-trading and Machine Learning techniques for crypto exchange trading

 - Developing Genetic algorithm to improve trading performance.
 - Co-developing Machine learning model for predicting growth and decline of stock prices.
 - Creating trading environment for automatic interaction with exchanges.
 - Building telegram bot for monitoring and managing trading system.
 - Deploying bots on server's side.


A project about analyzing UFC fights and predicting the results of future events. Achieved 69% accuracy with cross validation

 - Collecting data from free sources with scraping technologies.
 - Implementing feature engineering, information extraction and clustering.
 - Created Machine Learning models using SVM, Decision Trees, Regression, etc.
Position: Data Scientist
Category: Data Science
Experience: 2.5 years | English: upper


A project that uses scraping technique and Machine Learning to search and select the best answers for ChatBot:

 - scraped web pages and quick answer boxes with the use of Java programming language, jsoup library and selenium;
 - used Levenshtein distance to calculate similarity between sentences;
 - implemented NLP text summarization model to extract important information from text.

A project about analyzing UFC fights and predicting the results of future events. Achieved 69% accuracy with cross validation:

 - used Python to clean, transform and analyze data;
 - implemented feature engineering, information extraction and clustering;
 - created Machine Learning models using SVM, Decision Trees, Regression, etc;
 - deployed solutions and configured the environment for other data scientists by resolving dependencies and compiling libraries.

A project that uses algo-trading and Machine Learning techniques for crypto exchange trading:

 - implemented Reinforcement Learning algorithm for trading;
 - co-developed Genetic algorithm to improve trading system;
 - contributed to creating and deploying custom trading environment for backtest and live trading;
 - created lucrative Machine Learning model for predicting future growth and decline of stock prices.
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: pre

Bekstesty implemented as classes with the effective computational speed.
Invented a machine learning implementation for pattern strategies
Around 4 years of experience data science, machine learning and quantitative analysis
Applying mix of Financial Knowlege, Statistical Inference, Econometrics and Machine Learning techniques to develop smart trading strategies
Solved tasks regressions, classifications, clustering, features selection
Position: Data Scientist
Category: Data Engineer
Experience: 0.5 years | English: fluent

My genuine interest in the field of Computer Linguistics, has allowed me to maintain an outstanding academic record. Alongside my coursework, I've dedicated my free time to enhancing my NLP expertise through supplementary courses at Jena University and independent study. These efforts have resulted in notable achievements, including my ability to automate text processing and  analysis. My ongoing pet project is currently running as a Telegram bot, allowing users to better their writing.
As a 4th-year student of Computer Linguistics, I have engaged in a range of projects both within and beyond the academy. My primary focus has centered on text analysis. I've worked on tasks such as automating morphological and lexical analysis of texts, along with corresponding statistical calculations. Additionally, I've conducted in-depth tonality analysis of texts, extracted key insights of texts, etc. I’ve also worked with the Telegram platform through Telebot integration.
Apart from that, I've ventured into speech analysis, predominantly employing Praat as my tool of choice. I have hands-on experience in conducting both manual micro and macro analysis, and when necessary leveraging automated scripts. 
In my ongoing pet project I am developing an enhanced analogue for Stanza’s Ukrainian model. Throughout these endeavors, I have consistently utilized the Python programming language, employing NLP libraries such as regex, Pandas, spaCy, NLTK, Stanza, and other essential tools.
Having no professional but only academy-related and personal experience just yet, I am hoping to enter the field, joining an interested project that would allow me to implement my knowledge and grow professionally.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: fluent


As a data and analytics consultant. I use R, SQL and Python for projects. I also use Microsoft PowerBI for data visualization projects. I have done projects on data governance, ERP analytics, business intelligence and data maturity assessment.
Position: Data Scientist
Category: Data Science
Experience: 6 years | English: upper


As a Data Science Competence Lead at JetSoftPro, I developed NLG and ABM projects, provided pre-sales support, and mentored trainees. At Powow.ai, I conducted data mining pipelines and implemented neural networks for text classification and language modelling tasks, while also introducing ML model experiments tracking and data version controlling using Neptune and DVC. As a Data Scientist at Honeycomb, I solved warehouse congestion challenges for Amazon sellers, implemented neural networks for text classification and language modelling tasks, and created Telegram and Facebook chatbots. At WorkNest, I solved object segmentation and recognition problems using classical computer vision algorithms and U-Net CNN for the detection of cancer cell metastasis in zebrafish embryos. Finally, I have a Bachelor's degree in Automation of Power Process and Systems Engineering from National Technical University of Ukraine.
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: fluent


As a Data Science Technical Lead, I have extensive experience in AI and machine learning, specializing in computer vision, NLP, and recommendation systems. I have worked on designing and deploying AI/ML model architectures across small to large-scale datasets, consistently contributing to the development of innovative, data-driven products. In my leadership role, I am dedicated to cultivating high-performance teams and providing guidance and support to data scientists, machine learning engineers, and specialists.

In addition to my technical achievements, I have a strong background in teaching and consulting. I have served as a Lead Data Science Instructor teaching applied machine learning and deep learning. I have also worked as an ML Consultant, evaluating data science problems for multiple companies and providing research and development plans. My passion for mentoring and fostering growth in others showcases my dedication to the field of data science.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: fluent


As a Data Scientist at Kifiya Financial Technologies, I hold a crucial role in driving data-driven decision-making processes within the organization. Collaborating closely with cross-functional teams, including product managers and software engineers, I identify opportunities to leverage data for improving business operations. Recently, I was involved in a project aimed at optimizing the loan approval process by developing a predictive model to assess creditworthiness. This involved in-depth analysis of historical data, feature engineering, and building a scalable machine learning pipeline. The successful implementation of this model led to increased efficiency, reduced default rates, and enhanced customer satisfaction.

Looking ahead, I am eager to further my growth as a data scientist. I aim to stay abreast of emerging technologies and methodologies, such as deep learning and reinforcement learning, to enhance our predictive models and uncover new insights from complex datasets. Additionally, I am committed to improving my communication skills to effectively convey the value of data-driven insights to stakeholders at all levels of the organization.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: upper


As a Data Scientist, I have a strong foundation in statistical analysis, machine learning, and data modeling techniques. I am skilled in programming languages such as Python and SQL, have experience in working with various data visualization tools and have a passion for turning complex data into meaningful insights that can drive business decisions.
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: fluent


As a Data Scientist, I was boarded two data science project. 
1. Stress Testing project- using macroeconomic and historical Bank balance data, I predicted loans, Current accounts balancr for next 3 years.
2. Data Governance project- development of risk monitoring engine. Risk monitoring engine monitor existing loans in the bank and predict for the next 6 months which customers will be overdue.
3. I've also model validation skills and manage model validation team. As a part of model validation team, I've validated Digital Lending scoring model, churn, cross-sell recommendation models.

4. Additional, I've two year professional experience in data engineering and visualization  fields. I've build DWH in MS SQL environment for Ministry of Agriculture of Azerbaijan Republic and developed web application to present statistical reports to Top management. Visualizations are developed with Tableau.
I’m working with python and python packages. 
I’m looking for jobs in data wrangling, data preparation and cleansing, model development, model tuning, preparation of reports.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: fluent


As a freelance data scientist I have undertaken many projects requiring an extensive display of skill. I built a crop disease recognizer Web app using Tensorflow and Streamlit to name a project. I also was lead data scientist in a school project which required such.
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: fluent

1. Presenting the Startup project of which I am a member in the I2B Startup competition in Azerbaijan, we won the first place and received a grant.
2. The Speech Recognition project I worked on at Unibank had a great impact on the bank's revenue growth.
3. The French-Azerbaijani University, where I am a student of  master's degree, sent me for an internship in Mulhouse, France.

Speech Recognition - Kaldi, DeepSpeech frameworks
Fraud Detection - LightGBM, XGBoost
Quasi cash detection - LightGBM, XGBoost
Anomaly Detection - Padim Framework, PyTorch, CNN, Mask-RCNN
Now I am Research Engineer for Data Science project - Fraud Detection.
As a highly motivated and passionate individual with a Master's degree in Data Science and Artificial Intelligence from the University of Strasbourg, I have a strong foundation in Machine Learning, Deep Learning, Artificial Intelligence and a keen interest in data-driven approaches to solve complex problems. Throughout my academic and professional career, I have developed my analytical skills through various projects, research work and industry experience. In addition to my technical skills, I have strong communication and teamwork skills.
I would like to work with experienced and friendly team.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: fluent


As a highly skilled data scientist with experience in both natural language processing and data engineering, I have a proven track record of utilizing my technical expertise to extract valuable insights from complex data. I have worked on various NLP projects, developing and implementing models for text classification, sentiment analysis, and language generation. My experience as a data engineer in a bank has given me in-depth knowledge of data warehousing and ETL processes, as well as a solid understanding of the banking industry and regulations. I am proficient in programming languages such as Python and R, and have hands-on experience with popular libraries and frameworks for NLP and data engineering. My strong problem-solving and communication skills make me an asset to any team, and I am passionate about staying up-to-date with the latest trends and technologies in the field. I am eager to apply my skills and experience to drive data-driven decisions and continue to grow my skills as a data scientist.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: upper


As a Machine Learning Engineer at company, I have gained valuable experience and skills that make me well-suited for a Junior Data Scientist role. Over the course of my tenure, I have worked on various projects and successfully tackled different tasks using my expertise in Python programming, machine learning, and deep learning.

In terms of Python programming, I possess a strong foundation in the language and object-oriented programming (OOP) principles. Additionally, I have extensive experience working with popular data analysis libraries such as NumPy, pandas, scikit-learn, matplotlib, and scipy. These libraries have been instrumental in my data analysis and modeling tasks.

In the realm of machine learning, I have completed relevant courses and applied my skills in practical settings during my time at company. I am proficient in building regression models including Linear, Ridge, Lasso regressions, Support Vector Machines (SVM), and Decision Trees. For classification tasks, I have expertise in Logistic Regression, SVM, Decision Trees, and K-Nearest Neighbors (K-NN) models.

My deep learning experience primarily revolves around computer vision (CV) and natural language processing (NLP) tasks. I have successfully tackled tasks such as image classification, object detection, speech recognition, and simple generative models. While my primary frameworks for deep learning tasks have been TensorFlow and Keras, I have also experimented with PyTorch.

During my time at company, I have made significant contributions to various projects. For example, I worked on an add-on that converts user's emails into Jira Tasks. In this project, we utilized external open-source models for user input preprocessing and developed our own system to convert the information into Jira tasks. Additionally, I was involved in an add-on that converts users' questions into a query format. We fine-tuned an existing model to convert natural language queries into a structured query format. Furthermore, I played a key role in dataset preparation, processing, and normalization for numerous NLP solutions developed by our company.
Overall, my experience as a Machine Learning Engineer at my company, coupled with my proficiency in Python programming, machine learning, and deep learning, make me a strong candidate for a Junior Data Scientist role. I am eager to apply my skills and contribute to new projects in this field.
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: fluent

Kaggle contributor
As a member of a data science team of 4 members I took part in the development of the OSINT system, which is widely used by military structures. I was responsible for creating modules for processing textual information: text summarization, keyword extraction, named entity recognition, sentiment analysis.
I built a face recognition system, which is able to detect and recognize faces of 100+ people in both visible and infrared spectrum.
NLP: text summarization, keyword extraction, topic modelling, sentiment analysis, named entity recognition, text classification.
CV: optical character recognition, license plate recognition, face detection/recognition.
I’m currently looking for a Data Scientist position in a progressive company with interesting and challenging projects.