lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Scientist / ML Engineer (Biotechnology, Genetics, Chemistry)
Category: Data Science
Experience: 2 years | English: upper


Skilled data scientist with a strong molecular biology and genetics background.

Master of data analysis and model development with both conventional ML and DL.
- Deep Learning (tensorflow/keras, deepchem)
- Machine Learning (scikit-learn, scipy, numpy, pandas, matplotlib, seaborn, plotly, rdkit)
- Biological Databases: Ensembl, UniProt, Entrez, Reactome
- Knowledge Graph construction
- Ubuntu (command line, pyenv & anaconda)
- GitHub

- Master's degree in Molecular Biology
- Seven years of experience in science (PhD program unfinished)
- Two years in Data Science related to biotechnology, genomics, and chemistry.
Position: Data Scientist, ML Engineer (Computer Vision)
Category: Data Science
Experience: 2 years | English: fluent

7.4% improvement in AU PRC with a single Xception-based model compared to ensemble of models with CheXpert chest x-ray dataset.
This was my master`s degree diploma work. Full text and a brief presentation on Linkedin.
I have no commercial experience in the ML\AI field, but my bachelor's and master's computer engineering degrees at the Taras Shevchenko National University of Kyiv with a thesis on classifying diseases by X-rays using different CNNs with Keras and PyTorch fit the job description. 
Master`s diploma work thesis is "Machine detection of diseases by chest x-rays". 7.4% improvement in AU PRC with a single Xception-based model compared to an ensemble of models with CheXpert chest x-ray dataset.
Given that this is a research work, it was necessary to make a lot of deep problem analysis, topic research, and domain knowledge acquisition. Texts of works and short presentations on Linkedin. I can tell in more detail in an interview.

July 2019 - March 2022
Regarding commercial experience, I held the position of .Net developer for almost 3 years at Fozzy Group (holders of Silpo and other Ukrainian businesses). Which consisted of the full development cycle of internal business processes using Contentum BPM for Fozzy Group using 
C#, Entity Framework, NHibernate, T-SQL (queries, sql-views, stored procedures) with MSSQL, proprietary ELMA Contentum Framework.
Some HTML + CSS + JS for Razor forms development. Communication with external RESTful services via WebAPI and with other internal services or systems.
Teamwork and project development are organized with SCRUM.

Also, during my university studying, I had experience with a lot of different techs like AWS, grids and parallel computing, software programming languages (Assembly, C, C++, C#, Haskell, Python + Django, WebPack (HTML+CSS+JS)), software patterns, machine learning, evolutional and genetic algorithms, hardware designs and architecture an others.
Machine Learning \ AI are my desire. Projects with visual data (computer vision) are preferable, but not limited to.
Position: Data Scientist / ML Engineer / Computer Vision / NLP
Category: Data Science
Experience: 2 years | English: fluent

Obtained a bachelor's degree in applied mathematics at the Taras Shevchenko National University of Kyiv, received a diploma with honors.

Studying at University of Tartu is founded by a Ministry of Foreign Affairs of Estonia. In addition received an achievement stipend for remarkable study performance.
Research fellow in bioinformatics at University of Tartu (Tartu, Estonia; Dec. 2021 - PRESENT)
• Applying computer vision methods for biomedical data analysis, mainly for tasks of cell object detection in microscopy images. 
• Applying state-of-the-art object detection models (e.g. YOLOv5) that leads to beating published performance benchmarks.
• Studying the importance of annotation completeness and its influence on model performance.
• Performing label-efficient object detection in limited data and annotation settings.

Research & Development Engineer at CIENCE Technologies (Kyiv, Ukraine; Feb. 2021 - Aug. 2021)
• Main duties: automation, data mining, warehouse management, reporting.
• Developed solutions in Google Cloud Platform (mainly worked with BigQuery, Cloud Functions, AI Platform).
• Worked with fuzzy matching algorithms over leads' data: record linkage & record deduplication.
• Participated in entity resolution NLP task: standardization of main leads' features (job title, industry, geographical location).
• Implemented advanced SQL queries for lead search automation and speed optimisation.
• Delivered reports over CRM data to executives.
• Calculated SaaS metrics and scoring models.

Data Scientist at BI Smart (Kyiv, Ukraine; May. 2020 - Jan. 2021)
• Built recommendation systems based on sequential and association rules for a pharmacy network. Just an appropriate SMS notification at suitable time with a suggestion to buy specific goods that customer might be interested in yielded significant extra revenue.
• Built geomarketing models for detecting potential profitable placements of pharmacies and medical clinics. Models included surrounding infrastructure, rivalry situation and user-specified characteristics. Processing pipeline also involved performing geocoding operations. This application provided business with an extra boost in expansion-related decision-making.
• Applied RFM algorithm for customer segmentation. Helped a company to apply different communication patterns for treating clients.
• Improved a call center efficiency via detecting potential buyers. It helped to achieve the highest revenue a company has ever had.
• Predicting customers prone to churn. Business applied special treatment for fetched customers.
• Built a mailing advisor system for detecting clients  susceptible to offers. Advanced an automated clients selection for a daily mailing.
• Implemented a system for VIP customers early detection.
NOT Data Engineering
Position: Data Scientist/ML Engineer/CV Engineer/Software Engineer
Category: Python
Experience: 4 years | English: upper

-
Junior DATA ANALYST

ProPeople  | May 2019 - November 2019
- Builded SQL queries and developmented product reports
- Conducted product researches

Junior DATA SCIENTIST

 Аптека Низьких Цін |  January 2020 - August 2020
- Stored, retrieved, and manipulated data
- Did customer segmentation system
- Did procurement recommendation  system

DATA ANALYST

Genesis | August 2020 - April 2021
- Did spam-filter for product
- Did system for estimate non-PPC traffic
- Analyzed A\B-tests
- Did system for making customer journey map
- Did product researches
- Automatized photomoderation.

SOFTWARE ENGINEER 
GlobalLogic | April 2021 - now
- Developing microservices by Python (flask, nameko, RabbitMQ, Redis)
- Working with image data (PIL, cv2, skimage, torch)
- Small part of DevOps staff (bash, docker, kubernetes)
- Take part of researches with client RnD team, developing solutions for client projects
Company with a strong team, in which I could develop and esquire a new knowledge.
Position: Data Scientist | ML Engineer | Data analyst
Category: Data Science
Experience: 3 years | English: fluent


Data Scientist with experience in various fields. Worked on fraud detection, behavioral analytics projects and other ML related projects.

Last projects: Text classification using BERT, HR analytics (employee churn prediction), building DWH & BI system for the largest electricity grid operating company in the country (leading BI stream)
**SKILLS:**
Python frameworks: Flask\Dash
Cloud: AWS (Sagemaker), Azure
Deep Learning: Pytorch, Keras
Big Data frameworks: PySpark
Machine Learning: scikit-learn, NLTK, pymorphy
Data processing: Pandas, NumPy
SQL Databases: MS SQL, MySQL, ClickHouse
BI: Power BI, Apache Superset
RPA: Blueprism
Skills:
NLP, Compute Vision, Git, Python, Flask, Network Analysis (networkx), Fraud Detection (anomaly detection), Data Science, Machine Learning, SQL, Jupyter Notebook, scikit-learn, PySpark, recommender engines

**Highlights:**
- Data Scientist with experience and skills in predictive analytics, Deep Learning, BI tools
- Experience of managing a team
- Background in Applied Mathematics
- FinTech, EdTech, TravelTech, Consulting experiences
Looking for:
- Interesting projects 
- Salary in solid currency (preferably USD\GBP\EUR)
- Career progression
Position: Data Scientist, ML Engineer, Data Analyst
Category: Data Science
Experience: 1 years | English: upper


Over the past year, I have made significant strides towards transitioning into the field of Data Science. Since 2017 until September 2022, I worked as a transfer pricing specialist and in 2022 I worked at a German international company in this role, where I honed my analytical skills and gained valuable experience in conducting benchmarking studies to evaluate controlled transactions within multinational corporations. During this period, I also had the opportunity to work on projects as a Junior Data Scientist, focusing on the Media, Retail, and Gas and Oil sectors using Jupyter as my primary tool. I developed proficiency in creating predictive models using Python, utilizing various instruments and methods such as decision trees, logistic regression, random forest, XGBoost, linear regression with regularization (Ridge, Lasso, ElasticNet), and Apriori algorithm. Additionally, I have experience in data extraction, manipulation, and visualization using SQL queries, Excel mapping, Power BI, Tableau, and Jupyter.
Since March 2023, I have been working as a Data Analyst at a Canadian company, where I have gained half a year of experience in utilizing a unique software to automate reports and projects for our customers. In this role, I have also been responsible for ETL processes, data source modeling, and leading successful project implementations. I have leveraged my expertise in SQL queries, Excel, and dashboard creation to deliver valuable insights to the clients.
With a master's degree in "Economic cybernetics" and a strong foundation in Data Science gained through various courses during my university studies, I am well-equipped to tackle complex data challenges. My proficiency in Jupyter Notebook has allowed me to conduct extensive data research, parsing websites, and extracting relevant information. I have also skills in machine learning algorithms, including SVM and Neural Networks.
Fluent in English and currently learning German, I am confident in my ability to effectively communicate and collaborate with diverse teams. I am eager to bring my technical skills, analytical mindset, and passion for data-driven insights to contribute to the success of your company.
I am excited about the prospect of being involved in exciting projects that push the boundaries of data science.
Position: Data Scientist,ML Engineer,Data Analyst
Category: Data Science
Experience: 0 years | English: pre


I am Orkhan Electrical Engineer.I have 1.5 years experience as Electrical Engineer.I work for BAYKAR Technology.Now I would like to work as Data Analyst,Data Science and ML Engineer.I know Python,R,C,Pandas,Numpy,Matplotlib, "Scikit-Learn".I would like to gain experience in Data Science or ML engineer.
Position: Data Scientist, ML Engineer, Data Analyst, Backend Developer
Category: Data Science
Experience: 0 years | English: intermediate

English - B1
German - A2
Education:
Bachelor
Odessа Polytechnic National University
Specialty: Computer science (2018—2022) 
Courses:	
- "Machine learning" from Hillel
- "Machine learning" from DataWorkShop
I can visualize data, prepare data for neural networks, select models for a specific task and train it. I have experience with recurrent neural networks, methods of classification and forecasting.
I developed an Android app for predicting house prices using LSTM. I also have experience with U-Net. 
Work experience:
Data Collection and Quality Analysis at CASAFARI –  July 2021 – October 2021.
Position: Data Scientist / ML Engineer / Software Engineer
Category: Data Science
Experience: 1 years | English: fluent

- Defended a Bachelor's thesis on "Mathematics and software for real-time face and ad detection" in English at Kyiv Polytechnic University. The emphasis was put on MTCNN and YOLOv5 models.
- Won a hackathon where my team and I have made a logo generator based on Generative Adversarial Networks model.
Used proximity sensor and arduino with a software which I've put on a Heroku cloud to host a telegram bot. This bot signals every time someone passes by the sensor.
Participated in a hackathon where me and my team have tried to build an AR app that tells good moves while playing chess. It achived that by solving object detection and a min-max algorithm.
Made web apps with Python, Flask, mongodb, Heroku, GCP.
Academic IELTS score: 7.0 . 
2nd on Kyiv Programming Olympiad for schoolers.
Completed Computational Neuroscience on Coursera.
Pursuing Master's of bioinformatics in Taras Shevchenko University.
Have experience in data analysis:
- Classic ML (used Random Forest, Linear Regression).
- Сomputer Vision (object detection, GAN, classification).
I have experience in the full cycle of web application development:
- Python web frameworks Flask, FastAPI, Django.
- OOP design.
- Algorithms and datastructures.
- Databases Oracle, PostgreSQL, MongoDB, SQLite 
- Cloud technologies GCP and Heroku.
- Docker


Also, I have experience with:
C, C ++, Arduino.
Position: Data Scientist/ML Enginieer/NLP researcher
Category: Data Science
Experience: 1 years | English: upper

+bachelor degree in Applied Math
+Python3 (multiprocessing, unit testing, scientific starter pack (pandas, numpy, sklearn ...) and more :)
+NLP(nltk, gensim, spacy, fasttext, polyglot, muse, starspace )
+Keras/Tensorflow
+PSQL/mongodb
+machine learning algorithms (e.g TSNE, HDBSCAN,  ...)
+experience with text clusterization and classification, text embedding, NER, sentiment analysis, interactive visualization and stat tests
+experience with dataset annotation process design
*small passionate team
*opportunities for professional growth and education
*team of DL geeks I can gain experience from 
*state-of-art practice
NO to:
-one-man-projects
-banking/trending analysis
-data analyst position
Position: Data Scientist / ML Research Engineer
Category: Data Science
Experience: 7 years | English: fluent


Lead data scientist, team lead, deep learning researcher/engineer in NLP field (3 years). Full stack web engineer in the past. Lecturer. Master's degree in Applied Statistics. 

Competitions winner. Kaggle Master. Kaggle top-100.

Image segmentation / classification, technical neural machine translation, automated speech recognition, fraud detection, text classification, data mining, medical image processing.
Contacting me please answer what kind of technical problem do you solve and what do you expect from me as a data scientist?
Position: Data Scientist (NLP)
Category: Data Science
Experience: 3 years | English: upper


Data Scientist with a strong math background and 3+ years of experience using predictive modeling, data processing, and data mining algorithms to solve challenging business problems. I have been working in various domains – game industry, social network company, hotel booking, and Natural Language Processing. Now I am looking for the opportunity to build a career and apply my skills for the success of the organization. 

Sentiment analysis using product review data
Error correction for run-on sentences
Text classification/clustering
Sentence segmentation of the unpunctuated text and punctuation restoration.

Watermark detection using CNN.
Designed price adjustment, hotel ranking system.
Сollecting metrics and creating analytical reports.
Improving Fraud Detection system. Estimated accuracy increase of 10%.
Data preprocessing and feature engineering at the big data scale.
Results visualization and interpretation, analytical reports.

Created and presented models for churn prediction in a free-to-play online shooter.
Helped game designers and creators to make decisions based on data.
Developed an algorithm to visualize in-game data and increase game balance.

Skills:
Strong math background and programming skills
Good visualization skills: matplotlib, plotly
Python stack: pandas, numpy, scipy, sklearn etc; SQL
3 years of experience in machine learning 
Strong practical experience with NLP frameworks: spaCy, Stanza, pymorphy2, fastText, NLTK, KenLM, etc
Parsing/scraping with requests, scrapy, xpath, BeautifulSoup, etc
Experience in Deep Learning with Pytorch, Keras
Passionate about structural linguistics and statistics
Position: Data Scientist (NLP)
Category: Data Science
Experience: 3 years | English: upper


I use natural language processing to solve business problems.

The main tasks I work with: information extraction using rule-based approach, text information parsing, text generation using extracted information, ontologies and taxonomies design, data analysis.

Skilled in Natural  Language Processing, Information Extraction, Text Parsing.

Looking for a fascinating and challenging job in Data Science to improve my NLP skills.
Position: Data Scientist (NLP)
Category: Data Science
Experience: 1.5 years | English: upper

Achievements:
- winner of the investment fund R&D-program
- 3rd place PhotoHack Odessa hackathon

Certificates:
- Seeds for the Future - Huawei
- deep learning spec.
- introduction to Machine Learning - HSE & Yandex School of Data Analysis

Сonferences:
- Multilingual Open-Domain Question Answering Model - MIT2020
NLP/Deep Learning researcher and co-founder of a startup in the field of conversational AI.

Previously SE (PHP/Golang/Angular) - 6 months.
Position: Data Scientist \ NLP
Category: Data Science
Experience: 7 years | English: intermediate


Last two years:
- Information retrieval + analytics on  Elasticsearch, Kibana.
- ML, NLP tasks, python, sklearn. 
Before:
Academic research, teaching at Taras Shevchenko National University of Kyiv / Computer Science and Cybernetics department
Position: Data Scientist / NLP Engineer
Category: Data Science
Experience: 3 years | English: upper

Also have experience in: 
NN Optimization, Entity-Relationship (ER) Modeling (Senzing, Aleph), ASR (Vosk, Kaldi), RASA NLU, Data Clustering, Dimensionality Reduction, Time Series Forecasting, Graph Algorithms, Data Visualization, CV, OCR
Latest experience:
System Analyst – Maxify, London, 2021 – 2022
Data Scientist – M4U, Kyiv, 2021 – 2022
Volunteer NLP Specialist – YouControl, Kyiv, 2022
Freelance developer - 2023

Education:
Bachelor Degree in Economics (2013 – 2017)
Master Degree in Computer Science (2017 – 2019)
PhD Student in Computer Science (2022 – 2026)
Desired position: Computer Scientist, NLP Engineer.

Mostly passionate about KGs, LLMs and GNNs.

Tasks: Information Extraction, NLUI, NLU, DST, Summarization, NER, Question Answering
Position: Data Scientist / NLP Engineer
Category: Data Science
Experience: 5 years | English: upper

Kaggle Expert
NLP-as-a-service platform:
Writing quality assessment with probabilistic modeling
Input-size-agnostic highlights for articles with extractive summarization
Highlights biasing
Summarization quality evaluation, both abstractive and extractive
Domain-sensitive clustering with Negative Sampling

Customer experience domain:
Customer feedback categorization in terms of user-dened categories, sentiment,
intent
Zero-Shot topic modeling and data labeling with automated candidate labels
selection
Semantic-search-based Question Answering for quick documentation access
Churn and NPS-score prediction

Microcredits domain:
Fraud detection & prevention 
Client default prediction
Position: Data Scientist, NLP Engineer
Category: Data Science
Experience: 3 years | English: fluent

As a NLP Engineer I have been working in Natural Language Processing sphere for 3 years.

Below you can see my achievements in NLP:

Realized projects using NLP technologies:

Detection of the biased information in media:
A web of trolls was detected with the help of Data Science algorithms. Stages - web-scraping, development of the language model, data preprocessing - tokenization, lemmatization, developing an ML classifier, sentiment analysis.

Twitter Security Project:
Discovered and identified the accounts which disseminated hate-speech, fakes. 
Stages - web-scraping, development of the language model, data preprocessing - tokenization, lemmatization, POS tagging, developing an ML classifier

Social Media Comments Analysis:
Search for bias in a corpus of Facebook, Instagram comments on defined topics.
Stages - web-scraping, development of the language model, data preprocessing - tokenization, lemmatization, developing an ML classifier

Detection of the  narratives in media. Sentiment Analysis.
web-scraping, development of the language model, data preprocessing - tokenization, lemmatization, developing an ML classifier. 

Sentiment Analysis for texts in English, Finnish, German using Pytorch, Transformers

NER extraction in texts written in English, Bahasa with BiLSTM-CRF, PyTorch

Python Data Science toolkit: Jupyter Notebook, Scikit-learn ,Pandas, Numpy, Matplotlib/Seaborn, Scipy, Keras, TensorFlow, Transformers, PyTorch

Databases: SQL, PostgreSQL

NLP libraries: NLTK, Spacy, Gensim, Stanford CoreNLP

NLP techniques for text representation: TF-IDF, Word2Vec, semantic extraction, data structures and modeling

Methods of information extraction: NER, terminology extraction, keywords extraction

Machine Learning key techniques and concepts for NLP tasks:  regression, trees, SVM, ensembles

Deep Learning frameworks: Keras, Tensorflow, Pytorch
3 years experience in NLP

Sentiment Analysis, Topic Modeling, Text Summarization, Text Classification, Text Clustering, Keywords Extraction
Position: Data Scientist, NLP Engineer
Category: Data Science
Experience: 1 years | English: upper


Created ML predictive models for my HRTech startup. Doing data analysis and statistical modeling for my Ph.D. papers. Led two teams of volunteering data scientists for MilTech startups: a visual GPS project and a voice transfer project.
I am looking for a Data Scientist / NLP Engineer role, preferably in HRTech / EdTech domains and in early-stage startups.
Position: Data Scientist, NLP Engineer, Research Engineer, Machine Learning Engineer
Category: Data Science
Experience: 4 years | English: upper

3rd place PhotoHack Odessa Hackathon
1st place in R&D program organized by the venture fund
Work Experience: 
- 2022-now - Senior Machine Learning Engineer at the R&D department of an American multibillion-dollar startup. End-to-end work (from EDA to implementation and productionization of bleeding-edge deep learning algorithms) on natural language understanding problems for real-time conversational intelligence product.

- Founder/Lead Researcher for the Conversational AI project since 2019. Team management, dialogue system architecture design along with building pipelines for various NLU tasks.

- 2018-2019 - Full Stack Developer at freelance. 

Education:
- 2023-now - Ph.D., Software engineering.
- 2021-2022 - MS, Software engineering, diploma with honours.
- 2017-2021 - BSc, Software engineering, diploma with honours.  

Сertificates:
  Specialization: Mathematics for data analysis - HSE
  Huawei: Seeds for the Future 2020
  Specialization: Deep Learning - Deeplearning AI
  Introduction to machine learning - HSE&Yandex

Publications:
  MIT-2022 - Increasing the Performance of the Multilingual Language Model with FNet Architecture  
  ICST-2021 - Natural Language Processing for Intelligent Virtual Assistant System
  MIT-2020 - Multilingual Open-Domain Question Answering Model
Looking for R&D department of ML product company/startup.