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

Machine Learning by Andrew Ng
Coursera
Currently

Data Scientist Career Path
Codecademy
04.2021

Pandas
Kaggle
02.2021

Big Data Analysis: Spark
Coursera
09.2020
Enthusiastic and collaborative Computer Science specialist with solid theoretical skills and passion about delivering and improving products using Scrum, especially in healthcare, pharmaceutical and edutech domains. Looking to apply 1+ year of architecting and developing high-quality products focused on Big Data and ML using Python to solve the world’s toughest data problems.

Education:

2016 - 2020, Kharkiv National University of Radioelectronics
Bachelor of Science - BS (with honours), Computer Science, AI department
Diploma project in development of new neural network.

Brief description of experience:

Data Scientist
11.2020 - 05.2021 (7 mo)
Dressler Consulting
- Took part in the AutoML startup;
- Covered prepocessing stage with documentation;
- Provided EDA for customers' data using Pandas and Matplotlib;
- Searched for insights from customers' datasets using PySpark.

Data Engineer
10.2019 - 07.2020 (10mo)
NDA
- Built and maintained ETL pipelines using PySpark and Pandas.
- Increased coverage with unit tests up to 96%.
- Gave lectures for colligues.
- Mentored 2 onboarding people.
- Ability to make presentations, mentoring.
- Highly motivated teammates.
- Excellent management (pure Scrum).
- Development high-quality products according to the worldwide conventions and standarts.
- High percentage of test coverage.
- Sound documentation.
Position: Data Scientist
Category: Data Science
Experience: 8 years | English: upper

- QlikVeiw implementation, supporting, developing new reports and modules
- Developing and implementation of new databases (SQL), reporting format  
- Power BI implementation in company working process  
- Participation in international project (new internal soft implementation for forecasting and price monitoring)  
- Implementation of the planning process for import
Excel (VBA), Power BI (DAX), QlikView, SQL, Ассess, PowerPoint, 1С, R (in studying)
Looking for interesting and challenging project with new opportunities for practice and developing skills
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: upper


Executed data collection and preprocessing, anomaly detection. Analysis of various hypotheses on large datasets.
Developed the rent/sale estimate model for real estate that increased accuracy by 50% and increased the overall number of predicted properties by 2 times.
Developed the real estate similarity algorithm that supports end users.
Analysis of the real estate market. Created a section with real estate market analytics, which helps users to better understand the situation on the real estate market and make the best decision.
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: upper


Exercising proficiency in an array of computer vision tasks, I engage in the detection, localization, and tracking of objects within images, while additionally delving into Visual Inertial Odometry (VIO) and Simultaneous Localization and Mapping (SLAM). My strong mathematical and statistical foundation equips me to navigate these challenging landscapes effectively. My experience extends beyond the visual, encompassing a understanding of radio signals, reflecting a broad and comprehensive skill set in technology.
Position: Data Scientist
Category: Data Science
Experience: 2.5 years | English: intermediate


Experience:

1. Analyst (2019-07 - 2021-05)
    a. Algorithms develop and Demand forecasting in periods of promo actions to optimize supply decisions by
corporate supply chain, inventory management, and business management.

2. Data Scientist (2021-05 - current)
    a. Development of App Monetization auto-bidding system.
    b. AB test analysis automatization 
    c. Causal inference using Bayesian structural time-series models(Causal Impact, Geolift)
    d. Shiny Web app for data science projects
    e. Time series forecasting (xgboost, random forest, ARIMA, Prophet, LSTM, etc.)
    f. LTV forecast using privacy-centric network API operated by Apple such as  SKAdNetwork

Technologies:
- R (mostly), Python (partly)
- Machine learning,
- SQL(MS SQL, BigQuery), 
- Shiny (Web apps), 
- Tableau
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: upper

- End-to-end solution for text dialogue analysis and Question/Answer patterns extraction
- Labeling process setup with custom self-developed labeling tool using Active learning techniques 

- Provided solution for complex Supply Chain problems with high impact on product value
- Successfull implementation of NLP approaches in Supply Chain domain
Experience

- 4 years as a Data Scientist
- Before - 3+ years as a Software Engineer

Skills

- Programming (Python as a main language, had commercial experience with R, and Web development)
- Machine learning algorithms (classification, regression, clustering, topic modelling, anomaly detection, etc)
- NLP (Text processing, embeddings, texts classification and clustering), Transformers, etc
- Deep Learning using PyTorch
- Data pipelines (ETL, EDA, Data Cleaning, Models serving and monitoring)
- Experiments setup and tracking. Configurations management
- Good Data Visualisation, App prototyping skills, and Dashboards development (Data Studio, Streamlit, Shiny, Plotly, etc)
- SQL experience (MySQL, PostgreSQL, BigQuery, etc)
- Development methodologies (Kanban, Scrum). Jira and other task-tracking tool
- Git, Docker, worked within AWS infrastructure
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: intermediate


Experienced Data Scientist adept at collecting, analyzing, and interpreting large datasets, developing new forecasting models. Skilled with python frameworks such as PyTorch, TensorFlow, LGBM, sklearn and other libraries. Also have skills with GCP, AWP, Linux systems. www.leigh-plt.net small pet project.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper


Experienced Data Scientist and ML specialist passionate about NLP. Skilled in analyzing and processing natural language data, developing models, and extracting valuable insights. Excited to leverage my expertise in NLP to tackle complex problems and drive meaningful results.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper


Experienced Data Scientist specializing in Natural Language Processing with 3+ years of fintech industry experience. Skilled in Python, AWS, docker, and machine learning algorithms: transformers, attention mechanisms, and LLMs. I have successfully developed and deployed NLP solutions for NER and text classification. A collaborative team player with a passion for driving data-informed decision-making, I am eager to leverage my expertise in driving data-driven solutions for impactful outcomes.

Technologies:
Python 3, PyTorch, Pandas, NumPy, Snowflake, AWS, ONNX, Docker, Git.

Responsibilities:
- Neural network model training for NER and text classification tasks;
- Exploratory data analysis and insights generation;
- Neural network model fine-tuning and support;
- Git-based model repository management;
- Text related neural network optimization, quantization;
- Working with cloud computing platforms: AWS, Docker, Kubernetes;
- Implemented machine learning models based on Random Forest, XGBoost, LightGBM;
- Deployed machine learning models based on the Python, including through the front-end (Reacts) and through the API;

My remote work experience in Data Science demonstrates my ability to deliver high-quality results independently, communicate effectively with remote teams, and leverage advanced Machine Learning technologies to solve complex problems efficiently.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: fluent

Launched a number of successful ML projects into production, resulting in stable and substantial revenue flows for the company.
Experienced data scientist with strong acumen for solving business problems with the help of advanced analytics and Machine Learning capabilities. Passionate about new technologies and their implementations in real-world projects.

- End-to-end machine learning models development from idea to deployment;
- Experience with big data tools: Hadoop, Hive, Spark;
- Communication with stakeholders, requirements gathering;
Ready to enhance a team of passionate professionals and implement new ideas into working ML tools. Looking for interesting Machine Learning, Deep Learning projects, eager to explore new tools and technologies.
Position: Data Scientist
Category: Data Science
Experience: 11 years | English: fluent


Experienced data scientist with the mathematical and statistical expertise, along with natural curiosity and a creative mind. ​Proven ability to communicate with both technical professionals and end users to identify business requirements. Proven ability to drive business results with databased ​insights and working with a wide range of stakeholders and functional team. Offering 10+ years of experience using statistical computer languages, Python, PySpark, R, SQL to manipulate data and draw insights from large data sets and ML/DL models and their real-world advantages or drawbacks
I would like to be instrumental in helping the business continue its evolution into an analytical and data-driven culture.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: pre

Education
-	National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Faculty of Biomedical Engineering, fourth-year student
-	DeepLearning.AI TensorFlow Developer Professional Certificate, Coursera Specialization Certificate
-	Neural Networks and Deep Learning, Coursera Certificate
-	Introduction to Data Science and Machine Learning, Stepic Certificate
-	Fundamentals of statistics, Stepic Certificate
-	Molecular phylogenetics, Stepic Certificate
-	Neural Networks, Stepic Certificate.
Experience
-	Development of a system for calculating the optimal individual parameters of surgical intervention in Ross operation (Regression models, linear programming), the project is available on GitHub
-	Kaggle: Personalized Medicine: Redefining Cancer Treatment, visualization and preprocessing, the project is available on Google Colab
-	Implementation of clustering methods (k-means, KRAB, hierarchical clustering), the project is available on GitHub
-	Development of the online queue for the admissions committee of FBME department of KPI (Faculty of Biomedical Engineering), the project is available on GitHub 
-	Participation in INT20H hackathon, development of the parser for prices received from online stores
Position: Data Scientist
Category: Python
Experience: 4 years | English: fluent

I am highly professional about Python but I can also work as a Full Stack Developer because of my job experience.
Experienced Full Stack Developer with a demonstrated history of working in the industry. Skilled in Python, Computer Science, Machine Learning, Data Analysis, and Full Stack Development. Strong engineering professional with a Master of Science (M.S.) focused in Computer Engineering from Universitat Autònoma de Barcelona.

Back-end: Python | C, C++, C# | Java | NodeJS | Php

Front-end: Angular+TypeScript | React | JS

Research: Machine Learning | Data Science | Parallel I/O
Mutual Trust is an important key for professional life. If this is to be achieved, the rest does not matter.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: intermediate


Experienced in predictive analytics, applied machine learning for classification problems, familiar with multi-armed approaches for real-time decision optimization. 

•Skills•
ML&DS: Probability/statistics predictive analytics, classification like models, time series forecasting, data visualization, data cleaning, model monitoring. 

Programming:Python (numpy, scikit-learn, pandas, xgboost, lightgbm, catboost, matplotlib, plotly),  SQL(SybaseIQ, Vertica,PostgreSQL, ClickHouse ),  R.
Tools: Git, AWS(Athena, S3), Docker.
Tricky tasks, flexible working hours, professional growth, knowledge sharing, comparative salary.

please don't offer data engineer, data analyst positions
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper

Data camp - Data scientist
Coursera - Stanford ML
Coursera - Deeplearing
Experienced in the information technology and data scientist fields. Advanced analysis, problem solving, programming and modelling skills. Excellent communication and interpersonal skills. Able to translate complex technical information to non technical users. Team player, Quick learner and self managed.

Projects: Credit scoring for retail loan, decision support system for micro businesses, customer segmentation, customer churn analysis  ,text classification, recommendation engine,OCR

Specialties: Python, ML, AI
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: fluent


- Experienced Python programmer with a focus on data science and machine learning.
- Proficient in using popular machine learning libraries such as scikit-learn, TensorFlow, JAX and PyTorch.
- Skilled in data preprocessing and cleaning using pandas and numpy.
- Familiarity with SQL databases and query optimization for handling large datasets.
- Knowledge of C++ for high-performance computing tasks.
- Expertise in building and deploying machine learning models for various applications such as predictive analytics, natural language processing, and computer vision.
- Capable of performing exploratory data analysis and visualizing results using matplotlib. plotly, seaborn, and other libraries.
- Passionate about staying up-to-date with the latest developments in the field of data science and machine learning.
- Strong communication skills and ability to work effectively in a remote team environment.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper


Experience    

• FEB 2019 – Dec 2019
Machine Learning Researcher at Samsung R&D Institute
As a member of a team, worked on Document Layout Analysis for handwritten input recognition. Designed a model for localization of text, mathematical expressions, shapes and drawings.
Technologies used: 
– Python 3.6 (sklearn, shapely, scipy, numpy, pandas), Keras, Pytorch;
– GRU networks, fully connected networks, graph algorithms, feature engineering, ANOVA, PCA

    • MAY 2018 – FEB 2019
Machine Learning Risk Analyst, MaxPay
worked on several tasks:
    • prepared monitoring models using modified moving average approach 
    • designed machine learning fraud-detective model using decision trees
    • as a part of risk management team, participated in creation of rule-based logic and monitoring of its effectiveness

Technologies used:

– Python 3.5 (sklearn, scipy, numpy, pandas), H20

– XGBoost, Random Forest, moving average, linear regression, feature engineering 


    • 2012 – MAY 2018 
Researcher, Frantsevich Institute for Problems of Material Science, NAS of Ukraine

Managed a research project devoted to the investigation of new shape memory alloy for biomedical use. Published 13 articles and presented research on 10 conferences


    • SEPT 2011–SEPT 2012 
Graduate Student Researcher, Institut Polytechnique de Grenoble, France
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: fluent


Experience:
-	Implementation of cascade neural network for price forecasting using C#
-	Calculating credit risks using SAS Base and Enterprise Miner
-	Clustering countries according to UN statistics using Python
-	Realization of taxi orders and online store assortment using MongoDB
-	Implementation of optimization algorithms using C#
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: fluent

Oracle 11g: PL/SQL Certified Developer (Exam 1-z0-144)
Passed German language exam of Vienna University
Billing Swap Project within 14 month
Played a lead role in Functional Requirements Specification, User Acceptance Tests and Migration stage in Roaming/Interconnect/Mediation area.
Experience in implementing ERP in manufacture and Billing systems in Telecom area. Grew from Billing Engineer to a Team Lead, then moved to Partners Management Relations Expert. Leaded teams up to 7 people. Project management in the Billing area. Analyse and preparing technical requirements for projects.
SQL, PL/SQL, Automated Testing (QA), Billing, Telecom, Roaming, Project Management, Designing architecture of Billing area, Analyze and preparing technical requirements for projects.
Played a lead role in Functional Requirements Specification, User Acceptance Tests and Migration stage in Roaming/Interconnect/Mediation area.
I really would like to take part in a big project of new features and opportunity for personal development. Not interested in commercial banking projects.  Looking for  a friendly professional team with an adequate and experienced management. Relocation to Eastern or Western Europe.
Position: Data Scientist
Category: Data Science
Experience: 10 years | English: upper

PhD in Applied Mathematics

Kaggle Competitions Grandmaster. The highest rank: #3
Experience in solving hands-on problems in various domains: email classification, automatic text labeling, classification of events by sensor data,  named entity recognition, predictive analysis of social networks, modeling of recommendation engines, building automated trading system, optimization of marketing budget, prediction of users activity, ...
Looking for interesting projects with hard and non-standard problems
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: fluent

• Schlumberger Machine Learning Innovation competition, 2nd runner-up, Apr 2023
• Millenial Energy Challenge – Data Science competition, Champion, Aug 2021
Experience:

Machine Learning and Petroleum Engineer Jan 2023 – Present , Risehill Energy Solution, Malaysia:
• Managed, cleaned, and examined production data to identify trends and patterns using numpy, pandas
• Designed a modern, user-friendly UI for the Production Data Analysis Platform in line with current design principles
and business standards using streamlit, plotly
• Implemented real-time event identification and buildup automation using pressure and rate data
• Developed a fluid production forecasting model through feature engineering and pre-processing of fiber-optic
datasets using principal component analysis
• Employed Recovery Factor Benchmarking to assess compartmentalization and estimate the likelihood of Reserve
Additions from Infill Wells based on production data
• Streamlined data preparation with code that resulted in a 50% increase in processing speed using dask


Personal Projects:
Automated PC Curve Generation by Clustering:
• Using advanced clustering algorithms such as GMM, HDBSCAN, and K-Means, the iterative manual process of
generating Capillary pressure curves utilized in PETRONAS was eliminated. Additionally, the process of matching Original Oil in Place values was shortened by comparing water saturation values from log and Pc curve, as opposed to using dynamic and static models.

Calculation of Production Back Allocation using Machine Learning Algorithms:
• Using machine learning and deep learning algorithms, Multiple Linear, Support Vector Machine, Random Forest,
LSTM to predict the back allocation values

London Taxi Travel Duration dataset:
• The travel durations for taxis were predicted by utilizing a large dataset and tools such as Geopandas, Google Maps API, and OpenStreetMap API. By developing a novel method to quantify traffic, the accuracy score was improved by 30%, leading to a victory in the competition.

Job Board Web Scraping:
• Job Board Data Web Scraping Automation With Python using Selenium

Laptop price predictor:
• In this project I built a website for laptop price prediction. It covers end-to-end machine learning processes including Data preprocessing, Data cleaning, Data visualization, Feature engineering, Modeling, Building a website with Streamlit, and Deploying a website to Herok.
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: intermediate


Experience of performing data analysis with R and Python;
Understanding theoretical concepts of statistics/probability, data mining, machine learning algorithms;
Knowledge of Python ML libraries: numpy, pandas, scikit-learn, scipy;
Base knowledge in classical ML algorithm;
Understanding basic principles of NoSQL DB (Cassandra);
Understanding of  algorithms and data structures;
Knowledge of database architecture; 
Basic knowledge of control version systems (Git, SVN);
Knowledge and understanding of OOP principles;
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: intermediate

I take a part in conferences, from regional to international levels. I write articles to the peer-reviewed journals. Have successful scientific achievements.
Experience: 
- processing big astronomy data (large stellar catalogues and images), in particular: pre-processing, filtration, systematic errors calibration and classification results for a few billions of objects
- applying machine learning algorithms for classification (SVM and NN mostly) and data engineering (outlier detection with OCSVM, feature selection with autoencoders)
- signal and image processing with standard mathematical methods (wavelets, shapelets and other transforms, filtration)

Skills: 
- programming with Python (numpy, pandas, scipy, scikit-learn, keras, matplotlib, astropy)
- scripting with bash, gnuplot

Good knowledge of numerical methods, mathematical modeling, statistics, machine learning. Familiar with C\C++.

I'm student, but I already have an experience in team and individual scientific projects.
Expectations: applying theoretical knowledge to the real-world problems and developing my own skills in Data Science. 
I don't know a lot of things, but I always open to the new knowledge and experience!