lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data science Machine Learning
Category: Python
Experience: 2 years | English: upper


Through almost two years of (full-time and part-time) work at local companies in my country , I was able to expose my knowledge on Machine Learning and Artificial Intelligence, particularly computer vision and speech recognition. Additionally, I had focused on not only data collection, cleaning, and analysis but also developing AI based software applications.
Firstly,During my internship at Unibank in Azerbaijan, I gained my first valuable experience in working with big data (mostly audio format). As an intern the main part of my job was analyzing audio dataset, cleaning of audio which is not matched with transcript, and research about appropriate neural network models and frameworks for developing basic speech recognition bot on telegram. The aforementioned frameworks were Deepspeech and Kaldi.
Secondly, as a Machine Learning engineer, I am responsible for training face recognition models and applying them to the real time face detection and
recognition based project. Another essential part of my job is writing APIs with Python in order to provide connections between both back-end and front-end teams. Moreover, I have been working with the Milvus vector database for a year, thus I have deep knowledge to work with milvus collections and write complex queries for searching through vectors (embeddings).
Furthermore, I have been learning and practising back-end technologies with Python with self-study. I had taken remote jobs from Latvia that I supposed to write simple web applications.
Position: Data Science / Machine Learning engineer
Category: Data Science
Experience: 1.5 years | English: upper

With 2 years of experience in total at AI-based product startup and NLP and Computer Vision internships. 
Business analyst and Project Manager in the past.
High soft skills and analytical mindset.
- NLP projects with medical and financial data. 
- Creating API endpoint with a model deployed to GCP.
- Simple web application prototyping with Plotly Dash.
- Data analysis with linear and logistic regressions and result interpretation for the business side.
- Data cleaning and preprocessing, analyzing with statistical and ML approaches, and data visualizations for reports.
- Small computer vision pet projects for object detection and neural style transfer.
I am looking for a Junior position in Data Science / Machine Learning projects to support guru engineers and contribute to project value.
Position: Data science, Machine learning engineer, Machine learning researcher
Category: Data Science
Experience: 2 years | English: upper

I've created the whole recommendation system along with the complementary systems (like trending algorithm, different KPIs and so on) from scratch. Starting from the research and finishing with deploying a complex system on production.
My experience is mainly related to construction of  recommendation systems at scale. Here is a list of things that I have experience with/were done by me.
- Created hybrid recommendation systems based on both catalog metadata and user activity data, using word2vec model (aka "related to" on YouTube).  
- Created personalized recommendation system using LSTM model.
- Made automatic ML lifecycle with hyper-parameters tuning, best model selection and model versioning (for all the systems).
- Created framework for algorithm evaluation and comparison (also including baseline algorithms) in terms of the following recommendation metrics : MAP (mean average precision), NDCG (normal cumulative gain) and Hit Ration.
- Implemented LinUCB (contextual bandit for personalized recommendations) as a solution for cold-start problem.
- Implemented many data pipelines using pandas and apache-druid.
- Have experience of working with Apache Druid, S3, redis.
- Implemented complementary algorithms like trending.
- Have partial experience of working with GCLOUD and AWS sagemaker.
- Have experience with Deep learning.

Other experience:
- Created real-time facial expression (with custom classes) and human body tracker which was then ported to Android using novel techniques for model compression. 
Used technologies : (SSD mobilenetV1, mobilenetV1, Yolo v3, knowledge distillation). 
- Created DS and ML course for new generation.  

 
Interests : Reinforcement learning, computer vision, natural language processing, generative models, bayesian modeling. 

What work I'm looking for:
Currently I'm interested in the position of machine learning engineer or machine learning researcher in the domain of recommendation systems/reinforcement learning (or any other sphere, the choice is more task related). I would like to make ad hoc research that will result in the solutions of a high quality + work in a team of professionals.
I want to find a work which will help me to improve both soft and hard skills. I'm eager to study new things, thus I would really like to face difficult and non-standard problems. I would also like to apply new machine learning algorithms and cutting-edge technologies to solve problems. I'm interested in the position of machine learning research or machine learning engineer.
Position: Data Science/Machine Learning Trainee
Category: Data Science
Experience: 1 years | English: fluent

english: C1 certificate+C2 course
german: C1 certificate
kaggle competitions: Cassava Leaf Disease Classification - top 11%; Mechanisms of Action (MoA) Prediction - top 25%
Also currently participating in Optiver Realized Volatility Prediction competition (top 20%)
Bachelor degree in Economic Cybernetics (KPI), currently studying for master's degree (same field), knowledge in quantitative finance, risk modelling, credit scoring modelling 
Languages: C++, Python, SQL, R(basic)
Strong knowledge in mathematical finance including stock prediction (LSTM + ARIMA + Monte Carlo Markov Chain), investment portfolio optimization and hedging
Experience in regression and neural models for stock prediction (bachelor thesis is uploaded on my github)
Kaggle competitions CV and tabular (CNN pytorch, tabnet, xgboost)
my kaggle: equinxx
Courses: 
* Python, SQL
* Deep Learning Specialization by DeepLearning.AI (5 courses) 
* Build Better Generative Adversarial Networks (GANs) by DeepLearning.AI
* Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning by DeepLearning.AI
I also have knowledge in binary classification models
Looking for any job experience that involves personal growth and progress, especially research opportunities :)
Even though I have experience in mathematical finance and economic modelling, I am also interested in CV/NLP projects and I would gladly be involved in projects from international clients due to my strong language skills
Position: Data Science Manager
Category: Data Science
Experience: 5 years | English: fluent


Current Position: Metadata.io, Head Of Data Science
- Managing several teams: Data Engineers, Software Development, Analysts
- Collaborating with business leadership on roadmap and product improvements
- Leading solutions from business problem statement to user feedback and adoption 
- Providing advanced analytics and modeling
Managing team of analysts and data scientists; providing new solutions to the end-users; being applied scientist and researcher; participate in the long term company vision; improving internal processes.
Position: Data Science Manager / ML Product  Manager / Team Lead
Category: Data Science
Experience: 3 years | English: fluent

Awards for predictive modelling projects effectiveness, i.e. for applying predictive modeling in advertising campaign planning and optimization :
The case of using predictive modelling for prediction of new clients of deposits has won Silver at WARC Media Awards, in the category: “Best Use of Data”. It is the highest achievement of Ukraine at this international contest so far 

Recommendation system from idea to deployment in  3.5 month, +15-20% improvement in key metric after its launch 

Datawarehouse from idea to production in 4 months, accelerated reporting and datasets assembly
I am data science professional from Ukraine with huge experience in data analytics, marketing communications, products management, and 2 years of experience in the role of data science team lead.

I have experience to build data science team and data culture in the company from almost scratch, arrange smooth communication in cross-functional team (product owners, data scientists, data analytics, software engineers, DevOps), communicate with stakeholders to find the areas where data analytics application can drive business value. I have deep knowledge of data science methods and experience in their application in marketing & product management domain. I have practical experience to fusion these two knowledge areas for the benefit of rocket-like product sales growth and excellence of customer experience

Experience in data science field: 
predictive modelling (banking, retail, e-com), NLP, recommender systems, datawarehouses (SQL-based)

My Toolset:
•	Programming - Python (Pandas, NumPy, SciPy, Scikit-learn, NLTK, Beautiful Soup)
•	Instruments for deploying DS projects in production - flask, asyncio, docker containers  
•	SQL – BigQuery, MS SQL, ClickHouse
•	Data analytics visualization tools – MS PowerBI, Google Data Studio
•	Tech Product management – north star metric dependency tree, unit economics, CustDev, hypothesis A/B testing
•	Marketing promotion – 360-degree toolset across offline and online marketing & media mix tools
first of all, the essence of the work is important: the creation and development of products, in the heart of which is data-science (ML)
Position: Data Science/ML engineer
Category: Data Science
Experience: 0 years | English: upper

Algorithmic contests participation with high achievements. Has gone up to 1⁄2 world finals at ACM ICPC contest as part of a team.
Worked as android developer (2.5 years) for a company in the transportation and logistics field. Was responsible for android application development and maintenance. Now as a developer with math and competitive programming background want to put knowledge into Data Science/ML field.
Challenging tasks, active career growth
Also I'm looking for mentoring by experienced colleague
Position: Data Science/ ML Engineer
Category: Data Science
Experience: 3 years | English: upper

Not interested in data engineering positions
I am a Data Scientist with over 3 years of experience in Data Science, Data Analysis and BI positions. I have worked with the next domains: computer vision, recommendation systems.
Position: Data Science/ML Engineer/Data Analyst
Category: Data Science
Experience: 0.5 years | English: intermediate

PhD in Physics and Math Science
Hillel IT school - Machine learning:
classification tasks, neural networks, ensembles of methods. 

Math Lecturer in State University of Intelligent Technologies and Communications. I teach higher mathematics.
I would like to work on a real project
Position: Data science / NLP
Category: Data Analyst
Experience: 2.5 years | English: fluent


Hi there! 

I've been solving problems involving data for a few years, and my experience includes working at international think tanks, local nonprofits, and public institutions in Ukraine. 

Currently working for a public institution on war-related projects.

ML: 
- Applied NLP techniques – topic modeling, text classification, named entity recognition, semantic search, etc. – to study various topics
- Created maintainable end-to-end pipelines: ETL, ML model training (spaCy projects)
- Deployed ML models (FastAPI + docker)
preferably remote, flexible hours would be perfect
Position: Data science, Python
Category: Data Science
Experience: 2 years | English: upper

I am proud that at the age of 30 I am developing, changing my profession to a more technical one and still trying to find my way in this life.
I believe I can handle anything
The main areas I am working on:
1. Automation of processes within the team. Python scripts for generating feeds, generating images, etc.
2. Support for basic reports and monitoring of data collection functions for basic reports. Google Cloud, Bigquery, Standard SQL, Data Studio. 
3. Scripts for interaction with third-party services. REST API

I also have 5 years of experience as a SEO Marketer
Development in technical areas.
Everything related to servers has always seemed to me something complicated to the point that I feel afraid that I might not be able to cope
Position: Data Science/Python Developer
Category: Data Science
Experience: 2.5 years | English: upper

During my education finished a bachelor work with research on methods for 3D object detection and in Term Work worked on style translation from Ukrainian artist Ivan Marchuk paintings. 

Finished AI&CV Summer Camp 2019 in Abto Software.
Was responsible for the creation of a 2D or 3D avatar from a single selfie and animating it from speech using OpenCV, PyTorch for 2D avatars, Unity, AvatarSDK, and Salsa for 3D.

Worked on the computer vision system for the vending machine that would detect picked and returned products. Opencv, PyTorch, and ZeroMQ were used. Also leaded the development team at the final stages of the project.

Another project was checking the complaince with the safety rules. The main technologies that I was using were Opencv and PyTorch.

One more project for detecting heat leaks on the thermal images had the same main stack: Opencv and PyTorch.

The latest project was the automatization of the business system on the web. For this, we were using selenium, win32com, and xlwings.
Position: Data Science, R&D, Senior/Tech Lead JavaScript
Category: JavaScript
Experience: 8 years | English: upper

Consulting, solutions architect, presales, interviewing, mentoring, negotiations with clients and third parties, estimations.

Data science: kaggle (http://kaggle.com) competition expert.

Javascript developer: multiple web applications using react/redux stack and NodeJs, mobile applications for ios and android using React Native.

PHP developer:  working in a big product company in the core team, high load application development and scaling,  deep knowledge of SQL (Mysql), knowledge of  NoSQL databases, Elasticsearch, Redis, Memcached, scaling big data applications (sharding, replication), successful product development and support.


English: IELTS: L,S,R: C1, W: B2.
8+ years of experience in web/mobile development, data science (Kaggle master - top 200), and big data solutions.

With proven experience in such fields as:
- Data engineering
- Web development
- Mobile development
- Machine learning
With proven quick learning abilities and result oriented approach.

Skills:
Programming languages: Python, R, JavaScript, NodeJS, PHP, C++, bash
DBMS: MySQL, Postgres
NoSQL: Redis, MongoDB
Search engines: Elasticsearch, Solr
Stream processing: RabbitMQ, ZeroMQ
Big Data: Spark, HDFS, Hadoop, MapReduce
DevOps: Bash, Docker
Frontend: React, Redux, Mobx, Webpack, ES6, UI/UX
Mobile: React Native
Other: Linux, Git, Nginx, Apache, Memcached, HTTP, REST, SOAP, AWS, D3
Developing modern web applications with an up to date tech stack, looking for challenges, passionate about solving problems and learning. Looking for challenges, ready to dive into management side. Consulting or R&D will be the most suited field.
Position: Data Science Team Lead
Category: Data Science
Experience: 5 years | English: upper

- MBA at Kyiv School of Economics

- Developed a Recommender system for a large online store with 3M+ products. Increased the average check and CR.

- Delivered an AI-based inventory management system. The solution helped reduce cycle times, significantly increase inventory turnover, and optimize working capital.
A results-driven professional with extensive experience in data science and e-commerce. Strong leadership and team management skills. Expertise in machine learning, data analysis and statistical modeling. Proven success in driving business growth and profitability with data-driven strategies.

Education:

- Master of Business Administration (MBA) at KSE Graduate Business School
- Master of Science in Applied Mathematics at Kyiv Politechnic Institute
- Bachelor of Science in Computer Engeneering at Kyiv Politechnic Institute

Experience:

- 1+ year as a Data Science Team Lead
- 5+ years of experience years as a Data Scientist
- Led a team of data scientists and engineers in developing AI-based projects such as recommendation systems with 3M+ products and 10M+ customers, personalised bonus system and automated inventory management.
- Developed and implemented data-driven strategies for customer acquisition and retention.
- Collaborated with cross-functional teams to implement solutions and drive business growth.
- Analyzed large datasets to derive insights and drive decision-making processes.

Skills:

- Leadership and team management
- Machine learning / Deep Learning
- Data analysis and statistical modeling
- Financial and Managerial Accounting
- Strategic Marketing
- Product management
- Business Process optimisation
- Communication and interpersonal skills
- Upper-Intermediate level of English
Position: Data Science Team Lead
Category: Data Science
Experience: 8 years | English: upper


Business domains:
- Adtech
- Fintech

Tech domains:
- Python
- Machine Learning
- Deep Learning
- ML Ops

Frameworks:
- django, fastapi, airflow
- pandas, dask, ray, pyspark, matplotlib etc.
- pytorch, transformers
- docker, k8s, ansible, terraform, aws, gcp

Others:
- CV, NLP, ASR, TTS
- SQL
- ETL pipelines
- rest-api

Soft:
- managed team of up to 5 people
- delivered products to from initial idea to prod
Work on product and architecture tasks, leading and developing team
Position: Data Science Team Lead, Data Science Manager, Head of Data Science
Category: Data Science
Experience: 8 years | English: fluent


Al Futtaim, Head of Data Science
• Managing team of 6+ Data Scientists
• Involved in Data Strategy/Architecture development, ML demand generation in organization, deliverables presentation to senior executives
• Building Data Science workflow, model delivery and consumption pipelines (including ML development best practices, MLOps and research)
• Building solutions for Auto, Retail, Real Estate, Energy
management (EMS) divisions 

Fareportal,
Data Science Team Lead
• Lead Data Science & Engineering team in Ukraine
• Managed the priorities and team workload
• Worked with Apps&Domain experts to fulfil the project KPI
• Communicated data science results to senior executives

Data Scientist
• Built algorithm for beach cities identification and airport ranking
• Built Popular Destinations algorithm, Propensity scoring model for air booking, Fare Predictor version 2.0
• Built customer/airport segmentation algorithm using flights and
external data

Murka, Data Scientist/Analyst 
• Built LTV Predictor with Power BI integration for marketing purposes
• Developed and implemented cross-promotion mechanism
• Built fraud detection algorithm among Referrers/Affiliates, AD
clicks Predictor for marketing team
• Built customer segmentation algorithm based on game events and parameters

Deloitte, Consultant
• Due Diligence procedures and drafting analytical reports in course of Transaction support projects (sell-side/buy-side) 
• Transfer Pricing services (including transfer pricing for financial transactions using Bloomberg terminal)
• Financial modeling 
• Consulting of TOP-3 search engine company
- Challenging tasks
- Сreative сolleagues
Position: Data Science Team Lead \ Senior Data scientist
Category: Data Science
Experience: 6 years | English: upper

Patents US10223616B1, US10296552B1 ML-based system for detecting advertisements on a web page. Participated in the full cycle of creating a system from scratch - from searching for ideas to introducing the system into the processes of an existing product (adblocker).
6 years as a Data Scientist experience, previous 5 years as a Software Engineer (on both server and client-side). Worked the whole time in product companies or startups in domains: finance (derivatives, trading strategies), betting, adblocking, e-commerce. 
Participated in Design Thinking teams - searching for new directions/products for the company. Love to work with high-level business problems like 'Hey guys we need competitive advantage for our product" and successfully solve it. 

2 years of data science team leading (5 members). Has made strategic researches for product companies that radically changed the focus of business as a result of the insights found.

Good understanding of product/business processes and metrics (due to all my work experience was in product companies with close integration to core business team) and finance area (made automated trading strategies/analysis for hedge fund, have general interest to this area)
  
Mostly interested in domains like finance, stock exchange trading/ quant analysis, adtech.
Prefer R&D team / Data Science team in product companies. Most interesting areas - MarTech, social engineering, finance, adtech, healtcare
Position: Data Science Tech Lead, Director of Data Science, Data Science Product Manager
Category: Data Science
Experience: 10 years | English: fluent

Succesfull personalisation project. Succesful search improvements.Direct impact of pricing system on company's P&L. Implementing automated credit scoring system helped company overcome legislation changes and acquire investments
Passionate about personalisation.Leading DS project to improve user search experience. Recommendation and personalisation. Leading a project to design pricing system for e-commerce. Leading DS part of multiple consulting projects oriented on automated decision systems integration. Leading DS teams of sizes between 2 to 15. Close collaboration with Product Management to create product development roadmaps and technical roadmaps
Leading DS decisions for the company. Being s DS leader to inform product development roadmap. Being a DS leader to help company make high- level decisions
Position: Data Scientiest  Matlab Ansys SolidWorks  C++  C# Java
Category: Other
Experience: 5 years | English: intermediate

Independently realized over 20 research projects in programming, engineering,  physics and higher mathematics (Information Security, Cryptography, Cryptographic Algorithms, Library Analysis, Aerodynamics)
Experience with C++/C#/Java MATLAB

CAD: Ansys, SolidWorks (Cosmoworks)
Strong knowledge of  Engineering, Physics,  Mathematics
Position: data scientist
Category: Data Science
Experience: 7 years | English: fluent

Churn prediction models and client segmentation for telco operators (regressions, decision trees, clusterization)
Update and finetuning of portfolio optimization with SIT library (optomozation, time series)
Courses on coursera:
data science specialization (Johns Hopkins University)
Introduction to Big Data (University of California, San Diego)
Strategic business analytics specialization (in progress, ESSEC business school and Accenture)
If you want to add science to your impressive data, you is on a right way!
I have strong background in data science, marketing and IT that helps me in fields where all of them are needed: business analytics, big data, machine learning, CRM.
Main data science tool for me is R and RStudio, for data exploration and visualization, creating models and interactive applications.
You can see next word prediction application based on NLP (Natural Language Processing) at https://barvinchenko.shinyapps.io/word_prediction_shiny_app/
Other data science tools I used including Oracle Data Miner and IBM Data Modeler.
My experience with databases and using them for data analysis include SQL databeses: Oracle, MS SQL, mySQL/MariaDB, IBM db2, PostgreSQL, MS Access as well as NoSQL (Mongo db).
BI tools range is not limited to professional level of Excel but Tableau, SAP Business Objects, Oracle BI, Jasper ETL, etc.
My knowledge based on about 20 Coursera courses, LinkedIn Learning, dataCamp and tons of books and articles. And such learning newer stops.