lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Machine Learning, Data science, Data Analyst
Category: Data Science
Experience: 3 years | English: fluent

I worked as a Data Scientist for three years, have a Bachelor's degree, and finish my Master's degree in December. I am currently working as an analyst/scientist in the German/Czech team remote. Have a certificate of Pearson Test of English C1 level.  I was a participant in the Erasmus program in Germany. I have published 14 research publications(9 scopus).
My strong side is that I'm flexible and have done various projects using different technologies, so I am a fast learner and can work with technologies that I know and study new on a project. Have experience with direct communication with clients.
Previous projects:
-OHLCV in R.
The project task was to calculate OHLCV values with the usage of parallel processing to achieve faster results. 
-Papers Dremio.
It was combining the Dremio tool with AWS, Azure, Databases(that's why a bit acquainted with AWS and Azure). After data preparation with Dremio wrote ML tutorials on Python/R.
-Visualizion KPI in Google Data Studio
It was a visualization of the KPI client's data. The project consists of 2 parts: gathering data using REST API and storing data in a database. Build KPI from data in Google Data Studio
-Visualizations in Tableau
Various small projects of visualizations in Tableau.
-Account mapping tool
ML model of accounts mapping + Front end Jinja, API Flask(Python)
-Sentiment analysis for the Ukrainian language
The project consists of a hybrid model based on ML+Rule for sentiment analysis of the Ukrainian language + Front-end Jinja, API Flask(Python).
-Next word prediction for the Ukrainian language
Project is Markov chains for next word prediction Python + another word recommendation based on tonality.
-Price prediction for used heavy machinery
A complex project that consists of different tasks based on price estimates for used machinery, finding correlations between various parameters, and analyzing sellers' data to find helpful information. The entire project from data cleaning to creating visualizations of results.
I am looking for an interesting/challenging project, ability to grow and learn with a team. I don't mind communicating with clients. Could combine ML with databases or visualization tasks(Tableau/Google Data Studio, plotly). I don't want to do something related to Devops. I prefer diversity in tasks.I am oriented toward European projects.
Position: Machine Learning / Data Science Engineer
Category: Data Science
Experience: 3 years | English: intermediate

Developed and delivered several successfull forecasting pipelines for predicting the risk of an epidemic in the aquaculture production.
Up to 6 years of IT experience starting from web development. ~4 years of working experience in machine learning and data science.
Work experience:

2020 nov - present: Ecto – bio-tech company in the aquaculture field. Data scientist & ML engineer. Exploration and data analysis, ML models training & deployment, Feature engineering, CRISP-DM full cycle development.
2020 jul - 2020 sep: Merit Capital LLC. Machine learning engineer & data analyst. Data mining, feature engineering, financial analyst’s signals performance analysis and confidence level estimation.
2018 feb - 2020 may: IT company “CodeIT” as a machine learning specialist and developer. Project aimed on the time series analysis (Stock price forecasting)
2015 nov - 2018 jan: IT company “CodeIT” as a back-end developer. Both server and client sides web development. SPA projects and had experience with high load processing (php, JS). Query optimization.
2013 - 2015 yrs: JSC Tyazhpromavtomatika. Designing SCADA systems (Siemens WinCC), Schneider electric, Siemens controllers programming, electric scheme development, electromechanical systems adjustment at industrial enterprises, user interface designing (Iridium), Matlab modeling experience (SIMULINK).

Please, check my CV to get more details.
I'm interested in Bio-tech, Medical tech, Healthcare projects.
Position: Machine Learning/ Data Science Engineer
Category: Data Science
Experience: 6 years | English: fluent

AWS Machine Learning Specialty certification
6+ years of overall experience as Software Engineer and ~2 years as Machine Learning engineer in solving complex business problems using machine learning and deep learning techniques
Confident, reliable, proactive team- player, always looking towards improvement and optimal ways to efficient solutions. Constantly strives to increase knowledge and boost learning techniques. Open to new experiences and technologies

Developed and created ML Pipeline for anomaly detection in the fuel Tanks.
This helped to reduce the load on the analytics department and automate the process of catching critical anomalies.
Tech Stack: Python, Light GBM, Numpy, Pandas, AWS (S3, Athena, Kinesis data stream), Oracle SQL, Elastic Search
Implemented video Object Detection component for streaming video service, developed Flask based application for forecasting number of customers during the week in the stores. Documented and deployed, provided demo session for the client
Tech Stack: Python, Pytorch, Yolo v4, FBProphet, numpy, Mysql, Elastic Search, Docker
Developed image vector search similarity engine based on style and image content. New Search engine helped to find products on the website based on Image from customers instead of key words. Increased conversion on the website ±3-5%.
Documented and deployed, provided demo for a customer
Tech Stack: Python, Pytorch, VGG, Resnext, Triplet Loss, ArcFace Loss, Faiss, Knn, NMSlib,numpy,Elastic Search, Docker

Previous expertise as Software Developer in Test / Team Lead:

Developed automation framework, interacted with business analyst and product owner in requirement analysis,created regression test suite that reduce regression phase from 2 weeks to 2 days.
Did load testing/ performance testing
Coordinated work of engineers regarding project needs and sprint tasks.
Knowledge sharing for the newcomers, delegation of the test tasks to subordinates
Tech Stack: Java, Spring, Selenium,JMeeter, Maven, SQL, TEST NG
Дружный коллектив, отлаженный agile процесс разработки
Position: Machine learning/data science team lead
Category: Data Science
Experience: 11 years | English: fluent


15+ years experience in development of methodology, architecture, high- and low level system design, algorithms and experiment design in analysis of uni- and multivariate multimodal data
10+ years of experience in engineering management of business-driven cutting edge R&D projects: presales, marketing, community development, recruitment, competency models development, project and program management, audit, concept and architecture development, shaping the team capacity and expertise. Teams and processes control and coordination, vertical and horizontal, external and internal business communication.
15+ years of experience in leading and coordinating 2-25 persons R&D groups working on projects in data analytics, Proof-of-Concept development, and scientific research in various application domains
Position: Machine Learning/ Deep Learning
Category: Data Science
Experience: 5 years | English: fluent


Experienced Artificial Intelligence Engineer with a demonstrated history of working in the information technology and services industry. Skilled in Python (Programming Language), Mathematics, Deep Learning, Machine Learning, and Neural Networks. Strong engineering professional with a Masters's degree focused in Computer Science from National Technical University "Dnipro Polytechnic". 


Artificial Intelligence Engineer

Company Name

COMPARUS.UA
Dates Employed May 2019 – Present
Employment Duration 6 mos
KeyUA - Software Development Services
Django Developer

Company Name

KeyUA - Software Development Services
Dates Employed Aug 2018 – Jan 2019
Employment Duration 6 mos
UnboltSoft
Data Science Engineer

Company Name

UnboltSoft
Dates Employed Mar 2017 – Sep 2017
Employment Duration 7 mos
Location Dnipropetrovsk Region, Ukraine
An employer who understands the difference between Python Developer, Data Scientist and MLOps
Position: Machine learning/Deep learning/Data Science
Category: Data Science
Experience: 2 years | English: intermediate


Data science research and development;
Developing AI-based solutions for our clients in
- fintech;
- marketing tech;
- medtech areas;
Developing AI-based solutions in fintech domain;
- Deep speech analytics and call tracking;
- Security and anti-fraud solutions;
Position: Machine Learning / Deep Learning Engineer
Category: Other
Experience: 4 years | English: fluent

4 years of professional experience in computer vision area, 2 of which are in Deep Learning (Convolutional Neural Networks). I've adapted state-of-the-art image classification and object detection models to solve client's problems, analyzed model's performance, corrected dataset collection methods. As a part of the team I've created price label recognition system.

My current programming experience is mostly in python, keras. I've implemented custom loss functions and metrics in theano. In the start of my career I've worked with C++/Cuda and cuda-convnet.

I have no problem with picking up other frameworks if needed. I've completed cs231n and other MOOC. Lecturer of local machine learning school.

https://www.kaggle.com/cubbeewan
Deep Learning, Computer Vision, CNN, Theano, Keras, Python, C++, Cuda
Interested in challenging Machine Learning / Deep Learning tasks, primarily in the field of computer vision.
Position: Machine Learning / Deep Learning Engineer / Researcher
Category: Data Science
Experience: 4 years | English: upper

Kaggle Top 1% TGS Salt Identification Challenge solution (image segmentation).
Implemented "DenseNet" image classification network in TensorFlow. Implemented "Transformer" neural machine translation network in PyTorch. Implemented "RetinaNet" object detection network in TensorFlow.
Machine Learning, Deep Learning, TensorFlow, Keras, PyTorch, Python, Computer Vision, Natural Language Processing, OOP, Functional Programming, Public Speaking
Natural Language Processing or Computer Vision using Machine Learning / Deep Learning.
Position: Machine Learning developer
Category: Python
Experience: 2 years | English: intermediate

Education:
Master in Programm Engineering (ONPU)

Got 2 years years of commercial experience working as ML developer. Known with many different techniques and algorithms. Also experience in ml projects deployment in aws or gcloud
2 years of commercial experience as ML developer. Technologies I have been worked with:
- pytorch - different custom CNNs, GANs for image updated
- tensorflow - classic image classifier and some extra cnn for images
- aws and gcloud - deployed created models on endpoints, created api using this endpoint
- openAI - created custom assistance bot worked on web shop to help users
- opencv, pillow, mediapipe, sklearn, skimage with images and videos.
Going to work as ML developer. It will be good if ml team quit big enough.
Position: Machine Learning developer
Category: Python
Experience: 3 years | English: fluent


I bring over 3 year of expertise in the field of Artificial Intelligence to the table. My experience includes building AI-powered chatbots that have been integrated with various platforms including websites and messaging apps. I have honed my skills in sentiment analysis, vectorization methods (Word2vec, Fasttext, Bag of Words, Tf-Idf), and feature extraction, intent classification, and modelling. My strong understanding of Principal Component Analysis has been an asset in delivering high-quality solutions.

In addition to chatbots, I have also worked on several challenging computer vision projects, where I have developed advanced algorithms for object detection, image classification, and semantic segmentation. I have a solid foundation in using TensorFlow, Keras, and OpenCV, and I am confident in my ability to deliver high-quality computer vision solutions that meet the needs of various clients.

My portfolio of projects speaks to my expertise in AI and computer vision. Some of my notable projects include: a machine translation model with an attention mechanism, a semantic image segmentation project utilizing the U-Net architecture, anomaly detection on solar panels using Non-Intrusive Load Monitoring, predictive optimization of water flow in rivers against natural disasters in agriculture, and manifold learning for the identification of similar actions on stocks.
Position: Machine Learning Developer
Category: Data Science
Experience: 2 years | English: intermediate

Build a system that allows the doctor to dictate an epicrisis in real time, with subsequent processing of the recognized text and isolating the necessary information about the patient (gender, age, illness, level of cretivity, recommendations for treatment, etc.)
As a ML engineer with 2+ years of experience, I have a strong
background in developing and implementing natural language
processing models and algorithms. I am skilled in using
programming language such as Python, and have experience
with various machine learning frameworks including PyTorch,
TensorFlow and Keras. Additionally, I have experience in data
preprocessing, feature engineering, and data visualization.
Throughout my career, I have worked on a wide range of NLP
projects such as sentiment analysis, named entity recognition,
text classification, speech2text etc. I am passionate about
staying up-to-date with the latest trends and advancements
in the field and enjoy experimenting with new techniques
and algorithms to improve the performance of NLP models.
NLP
Position: Machine Learning Developer
Category: Data Science
Experience: 1 years | English: intermediate


R, Python,  Java,  Scala,  C++, OpenCV, Machine Learning,  EDA,  Data Science, Mongo, Kaggle Player.
Interesting projects. Complex tasks. State of the art approaches.
Position: Machine Learning Developer // Data Analyst // Data Scientist
Category: Python
Experience: 1 years | English: basic

Experience optimization of Online Advertising Campaigns. Using Time Series Analysis, Regression Analysis, Genetic Algorithm, Greedy Algorithm. Recommendation systems. Web application development. Using Django, MongoDB, Natural Language Toolkit. Experience API Development.
- Python (NumPy, Pandas, Scikit-learn, NLTK)
- Machine Learning Algorithms and Optimization Algorithms;
- basic Django and Flask;
- NoSQL (MongoDB), basic SQL (PostgreSQL);
- Windows, Ubuntu;
- Git;
Really interesting project.
Position: machine learning engineer
Category: Data Engineer
Experience: 2 years | English: upper


Employment experience:

April 2022 – June, Pheme Project (volunteer organization), Data Scientist/Data Processing team leader
o      Voice Conversion System development
o      Automation of  large dataset collecting and preparing
o      Audacity, Kaldi, Python, bash.

	August 2020 – December 2021, TERRA Laboratories,  Machine Learning Engineer 2020, 
o	Development data analysis software for oil and gas industry, based on well logs data
o	XRD mineralogical analysis
o	Automation of full-pattern fitting method. It models a sample XRD pattern as a linear combination of experimental patterns of standards in a database automatically.  From the optimized pattern, it can derive the weight percent content of the sample with respect to the standard phases included in the analysis.  
o	Writing ml Algorithms  (K-means, Gradient descent (GD)  ) for special problems
o	Data processing
o	Data visualization
o	Data parsing
o	Import, export data to excel files
o	Python, C#, ML Algorithms, Matlab, Pycharm, Anaconda

	August 2013 – July 2021, National Technical University of Ukraine “Kyiv Polytechnic Institute”, mathematics lecturer/assistant/research fellow 
o	LaTeX, Wolfram Mathematica 
o	3 scientific paper
o	Writing educational materials for students
o	Gaining strong communication and leader skills

	February 2018-May 2018 – Trainee at EPAM SYSTEM, 
o	Java Core, SQL, Git, JIRA.

	August 2012 – August 2013, Publicis Groupe,  Assistant Analyst
o	Report automation
o	Excel, VBA, Power Point
Position: machine learning engineer
Category: Data Science
Experience: 3 years | English: intermediate


i have experience in optical character recognition, certainly in id card recognition also have an experience in face recognition and experience in natural language processing. 
I want to do more data related analysis rather than build machine learning models
Position: Machine learning engineer
Category: Data Science
Experience: 2 years | English: intermediate


- 2 years as machine learning engineer at foreign product company: development forex ml-models (neural networks and tree-based), financial time series processing and predictions
- 5 years as manager and participant of student scientific-practical machine learning  projects  applying in economics, networks, cybersecurity and others (bankruptcy prediction, ddos-, sqli-, xss-atacks predictions, stegoanalysis, fake news prediction, type OS detection).
- 15 years as scientific researcher  and writer of scientific articles, (Scopus authorId: 55645302100)
- 15 years as teacher (senior lecturer, assoc. professor) in university including management position: development of courses programs and practical tasks, lecturing.
Position: Machine learning engineer
Category: Data Science
Experience: 0 years | English: intermediate


Algorithms:
- deep learning: DNN, CNN, RNN, GAN;
- statistical machine learning: Bayesian, Linear, Polynomial, Generative, Instance-based, Ensembles;
- frequent sets and associative rules: Apriori, Eclat, FPG;
- classification tasks: CNN, Faster R-CNN, ResNet; 
- detections: YOLO, HOG; 
- segmentation: U-Net, ResNet;
- feature engineering, exploratory analysis, model selection, data visualization.


Technical stack:
Programming Languages: Python 3
ML: Scikit-Learn, XGBoost, TensorFlow, Keras, OpenCV
Data analysis: Pandas, SciPy, NumPy, MS Excel
Data Visualisation: Matplotlib, Seaborn, Plotly
DBMS: PostgreSQL, MySQL
Other: Linux, Git, Docker
Professional interests: natural language processing, computer vision, recommendation systems, bioinformatics and medicine, sales optimization, big data.
I am looking forward to an interesting project and a friendly team in which I can reveal my full potential and learn something new
Position: Machine learning engineer
Category: Data Science
Experience: 2.5 years | English: intermediate


As a dedicated and skilled NLP/ML Engineer, I am excited to explore new opportunities within an innovative team. With a bachelor's degree in Computer Science and Computer Engineering, I possess a solid foundation in programming and creative problem-solving.

During the past four years, my expertise has grown significantly, with a strong focus on Python programming. Notably, I completed a year-long internship with an R&D NLP team, tackling complex challenges. This hands-on experience enabled me to master various NLP techniques and models including BERT, LSTM, RNN, Catboost, and word2vec.

My background also encompasses six months of developing crawlers in .NET and Python, enhancing my data engineering skills and proficiency in handling diverse file formats.

Presently, I serve as a Machine Learning Engineer at Polixis, concentrating on NLP projects. Within this role, I contribute ML models to address intricate internal business concerns within the bank compliance domain. This includes tasks like binary text classification, multi-label document classification, NER, and target-based sentiment analysis. I actively participate in the entire data science life cycle, collaborating with assessors and deploying comprehensive solutions.

My ambition remains rooted in the NLP field, and I am excited to undertake new, captivating challenges. Having recently relocated to Armenia, I eagerly seek a dynamic team where I can apply my skills to solve intricate NLP problems.
Position: Machine learning engineer
Category: Data Science
Experience: 3 years | English: upper


Build ML solutions (from gathering data to deploying on production) for a job-seeking platform. Create and deploy models for NLP tasks such as Named entity recognition, text classification and relation extraction. Also worked with Time series such as sales prediction.

Apply ML techniques to get insights in the Cybersport field. Create and deploy models for object detection and text extraction for LIVE, VODs and social networks.

Apply ML for Computer vision and NLP tasks for the real estate market field. Develop several models such as classifying good/bad quality repair and real estate classification by text description. Classification duplicated apartment ads by apartment characteristics and description.
Position: Machine learning engineer
Category: Data Science
Experience: 4 years | English: intermediate


Developed and deployed machine learning models for various tasks such as natural language processing, computer vision, and document processing systems.
    Worked with machine learning algorithms and ensembles of algorithms for tasks such as BERT for NER, classification, embedding, and W2V.
    Performed NLP tasks using deeppavlov, transformers, nltk, and gensim libraries.
    Worked on computer vision tasks such as image classification, object detection, and face recognition using PyTorch, Keras, and Tensorflow.
    Managed data collection, preprocessing, and model training for object detection and classification tasks.
    Deployed models on Azure ML for training and deployment.
    Collaborated with cross-functional teams to develop and deliver high-quality machine learning solutions.
To secure a challenging position as a Machine Learning Engineer, where I can utilize my experience in machine learning algorithms, natural language processing, computer vision, and document processing systems to contribute to the growth and success of the organization.
Position: Machine learning engineer
Category: Python
Experience: 5 years | English: intermediate

Developed a solution for image analysis in real estate (object detection, image classification), achieved an accuracy of ~90%, build up a system for serving models in the cloud. Developed blood cell counting solution.
Experience developing computer vision solution using deep learning methods, building machine learning pipeline.
Experience in Image Classification, Object Recognition
The toolbox includes Python, Keras, Tensorflow, Numpy, OpenCV, Pandas, also 
Flask, Kubernetes, Docker, Google Cloud.

Courses: 
- Machine learning from Stanford (Coursera),
- Stanford's Deep Learning for Computer Vision CS231n.

4 years of experience as a .NET software engineer.
Interesting project in deep learning and computer vision fields, team of open-minded machine learning enthusiasts, knowledge sharing and professional growth.
Position: Machine learning engineer
Category: Data Science
Experience: 0 years | English: upper


Graduated with honors from the Hillel Computer School on the course "Machine Learning" with excellent marks. Also at the moment, I am an assistant professor at the university in the disciplines "Probability Theory and Mathematical Statistics" and "Discrete Mathematics".
Position: Machine learning engineer
Category: Data Science
Experience: 2 years | English: upper


I am an expert in Machine Learning and Deep Learning. I can assist you in either improving your
existing solutions or building the entire ML pipeline from start. dealing with a variety of tasks, including
NLP, Time Series Analysis, Computer Vision, GANs, constructing bots for the stock or cryptocurrency
markets, establishing APIs for ML models, etc. I've developed a lot of programming and math skills in
the areas of Deep Learning, Machine Learning, and Artificial Intelligence. I've also finished real-world
projects picked up new skills through online courses and worked on projects that required me to use
those talents.