lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: intermediate


Led moderation solutions for several teams
Led development of payment antifraud detection model
Communicated with inner stakeholders (PMs, MKT leads, developers, etc.)
Prioritized tasks
Conducted technical consultations (python, complex SQL queries, GIT, Linux)
Developed ETL processes
Created data marts
Data QA (nulls, mismatch with source table, etc.)
Designed alerts for ETL processes, ML models
Third-party services integrations

Built traffic evaluation models for marketing campaigns
Developed revenue prediction model and churn prediction model
Clustered users, predicted their product lifecycle, predicted the volume of user-core
groups in future
Designed a recommendation system (intelligence ranking on the search page)
Built a “user averaging” framework (custom model for specific business)
Created “synthetic event” presented by statistic estimation of user quality, not the
binary conversion event
Designed marketing metrics
Implemented complex revenue attributions (caused by several products and inner
remarketing)
Gave lectures for a Genesis Analytics School
Was a hiring manager: interviewed employees, filled competence matrix, selected
technical tests and evaluated them.
Was engaged in interns onboarding
Want to work with 3+ members DS team OR become a very first Data Scientist/Data Enineer/Data Analytic in start-up
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: fluent

- Successfully led a team of 6 to create three end-to-end video analytics products, from ideation to completion.
- Made significant contributions to building one startup, participating in the entire product development lifecycle from idea conception to finished product, and Healwith was selected as the “Best Artificial Intelligence Startup Project” in EuroAsian Startup Awards.
- Attained a Bachelor's degree in Computer Science and subsequently pursued a Master's degree with a specialization in Artificial Intelligence.
- Among a workforce of over 1000 employees, I was selected as the "Worker of the Year" due to my exceptional contributions to the company's success, highlighting my dedication and impact within the organization.
- Led the development of cutting-edge computer vision solutions using PyTorch, OpenCV, and deep learning algorithms.
- Built and deployed APIs to enable seamless integration of models with various systems.
- Demonstrated expertise in building and maintaining tools for similarity search, utilizing Faiss, Milvus, and ElasticSearch.
- Optimized software architecture for real-time AI Video Analytics, enhancing system performance and scalability.
- Implemented and evaluated object recognition and detection models for high-accuracy video analytics.
- Spearheaded the optimization and parallelization of image processing algorithms for TPU AI accelerators, achieving a significant 4x performance boost.
- Collaborate closely with cross-functional teams to ensure successful project delivery and alignment with business goals.
- Proactively identify areas for improvement in the development process, leading to streamlined workflows and enhanced productivity.
I'm driven by a strong desire for professional growth and impactful projects. Seeking fresh challenges and deeper exploration of cutting-edge technologies like diffusion models and LLMS. Eager to fully leverage my skills and expertise in a dynamic, innovative environment that fosters creativity, continuous learning, and the latest advancements in the field.
Position: Data Scientist
Category: Data Science
Experience: 7 years | English: upper

- Developed decision support system using environment simulation,  statistical modeling and neural networks
- Developed automated trading system for currency and cryptocurrency markets
- Have experience working with time series and financial data
Linux, Python, Java, SQL, Tensorflow, Keras, Matlab, Pandas, Docker
Looking for a remote job, or freelance project. Interested in projects where state-of-the-art machine learning and data science techniques can be used.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: upper

Projects:
2022 Airbus ship detection challenge on Kaggle (Python, Keras, U-net network);
2022 X-ray Body Part Classifier (Python, Tensorflow, Keras, convolutional neural network);
2022 Prognosis of cardiovascular diseases (Python, Sklearn);
2019-2021 Ehealth startup iLikar (life expectancy prediction and symptom checker), medical expert, building high-level models.
Competitions:
2022 UNIFESP X-ray Body Part Classifier Competition, Kaggle.
Looking for a job in Data Science.
Physician with 10 years of experience, graduate of IT school Main Academy, Data Science.
Experience in a healthcare startup.
Position: Data Scientist
Category: Data Science
Experience: 2.5 years | English: upper

Certified Udacity machine learning engineer
Certified Udacity AI engineer
Analytics and management background
Looking towards opportunities to advance career in Data Science/analytics field.

2.5 years of Data Science related experience with customer behavior analysis, LTV prediction models, fraud analysis

Previous experience include analytics and management roles in media field.

Technology stack:
Python, R, Pandas, Tensorflow, Keras.

Data visualization stack: Matplotlib, ggplot2, Grafana/Zabbix, Google Data Studio

Proven knowledge in Algorithms, Probability theory, Statistics and Linear Algebra
Proven knowledge in data-oriented analytics, classic statistical methods and Neural Nets design pipeline
Familiar with Reinforcement learning techniques.
I'm a passionate self-educated AI-enthusiast with more than 3 years learning track. Looking for an opportunities to join a team of passionate professionals to further pursue newly acquired skills and solve challenging tasks.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: intermediate

Short list of courses:
DataRoot University
Rails Reactor Machine Learning Summer School
Andrew NG and MIPT&Yandex courses on Coursera
- LTV prediction
Developed and continuously improving system which is #1 metric in marketing department 
Technologies used: CatBoost, Pandas, Docker, SQL

- Cost optimization system
Helps spend less money for low performing marketing traffic and increasing amount of high 

- A lot of various automations using python, slack api, googlesheet api, SQL

- Antifraud
Catching "fraud" traffic (scam, incent, bots etc) that might be stoped and not payed

- Managing 1 Data Scientist
Great team. Challenging tasks. Flexible working hours. Professional growth.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: upper

Relevant courses:
- Data Science Foundamentals by DataRoot Labs
- Deep Learning Specialization by DeepLearning.AI
- Tensorflow Developer by DeepLearning.AI
- SQL training by Stepik
Machine Learning Engineer at SoftInWay: Nov 2022 - Present
Develop different machine learning architectures using AutoML.
Implemented AutoML searching algorithms such as embeddings and e-greedy search

Practiced at Samsung Electronics where developed different computer vision models, created my own dataset and trained YOLOv5 model.

Projects:
1. UNet for image segmentation(Python, Tensorflow). Available on Github
2. Personnel accounting system(Python). Available on Github
3. Home library manager(Python, PyQT5). Available on Github

And others, including ML project
Interesting work with friendly team.
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: upper

3rd place at Hack4retail that was organized by Fozzy Group and McKinsey & Company
Machine Learning Engineer boasting 5+ years mastering Data Analytics & Modelling. Expertise honed in Finance, Banking, and Digital Marketing sectors, transforming raw data into actionable business insights. A strong foundation in Economic Analysis (KSE) propels my analytical prowess. Deeply vested in the advancements of GenAI. Let's collaborate and push the boundaries of what's possible.
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: upper


Machine learning engineer experienced with predictive modeling, data mining, and processing.  Interested in a wide range of data science applications. Strong math background.

- Fluent with Python and the scientific stack.
- Strong knowledge of probability and statistics.
- Team worker.
Interested in optimal control problems.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper


Machine Learning Engineer
JSC ALSECO | Almaty, Kazakhstan

Developed an ML pipeline from scratch to predict the price per square meter of apartments using company data. The pipeline was used to create an ensemble with a third-party customer model that improved the predictive power of the customer's decision by 12%
Performed EDA on the company's historical data and created several new sets of features to be used in the company's internal customer scoring model project
Implemented a service to recognize water meter readings and IDs: developed several models on different architectures and selected the best with the highest mAP metrics on a benchmark test dataset; trained and validated models with YOLO architecture and implemented best practices to improve metrics; deployed the model into production and developed a service to store recognition results
Organized data collection, markup and validation from scratch with third-party markup freelancers using Label Studio data annotation software
Fine-tuned ASR model based on a Facebook Wav2Vec2-xls-r-1b model pretrained on a large dataset of russian speech using company cloud telephone recordings and openstt public dataset
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: upper


Machine Learning Engineer – Optio.Ai
• 30% increase of average spending time by users on e-commerce website through building a recommendation system.
• Finding important insights, organizing, and cleaning data using SQL databases and python.
• Designed Item-Item, memory-based collaborative filtering.
• Improved knowledge on massive and sparse matrix manipulations during working on User-Item, memory-based collaborative filtering.
• 20% enhance of chatbot accuracy on the Georgian language by working on NLU (Natural Language Understanding).
• Gained knowledge on Reinforcement Learning to generate new ideas by researching topics regarding NLU.

Graduate Research Assistant – Temple University
Reinforcement Learning algorithms study - Supervisor Dr. Jie Wu
• Gained experience in various Reinforcement algorithms such as Monte Carlo Methods, TD Learning, N-step Bootstrapping, Dynamic Programming.

Lecturer – Free University of Tbilisi
 Enhanced students’ knowledge in the programming methodology by effective use of communication skills.
 Contributed to development of the new subject (“Introduction in Digital Technologies”) by creating content for lectures and assignments.

Board Member and Project Manager – Tbilisi Free School
 Improved problem-solving skills as a Board Member while making important decisions regarding school development.
 Gained leadership experience as Team Lead while coordinating school events.
 Maintained school effectiveness during the Covid-19 period by creating a virtual environment for classes.
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: upper


Machine learning engineer
Project: Develop machine learning models for tax industries. 
Job responsibilities: Research NLP approaches to improve summaries for tax services; Test hypothesis; Build bi-directional unit for neural network.
Build and provide machine learning models for financial sector.
Technology stack: Python, Pandas, Numpy, Scipy, Matplotlib,  Seaborn, Scikit-learn, Stats,Pytorch,  TensorFlow, Keras, SpaCy, Fastai, Gensim, Flair, Trello, GCP, AWS, UNIX

Project: Execution program for algorithm trading  
Job responsibilities: Study market and learn his behavior; Quantitative analysis; Research machine learning pipelines which give best predictions; Develop module for order execution; Test hypothesis; Build bi-directional unit for neural network
Technology stack: Python, Pandas, Numpy, Scipy, Matplotlib,  Seaborn, Scikit-learn, Stats,  TensorFlow, Keras,  Trello, GCP, AWS, UNIX, Git

Project: NLP Expert 
Job responsibilities: Parsing, preprocessing of the resumes and vacancies; Research best methods for text transformation; Create vocabularies; Building end-to-end pipelines for data flow; Write regular expressions for close hard understanding text; Test hypothesis; Create technical documentation;
Technology stack: Python, Pandas, Numpy, Scipy, Matplotlib,  Seaborn, Scikit-learn, NLTK, Spacy, GloVe, Gensim, TensorFlow, Keras,  Trello, GCP, AWS, UNIX, Git, 

    * * *
Project: Semantic images
Job responsibilities: Image collecting and preprocessing;   Build and train convolutional neural network tandem with transformer; Research ways to decreasing computational time for embeddings processing; Data mining; Develop logic to text output 
    * * *
Project:  Easy motherboards
Job responsibilities: Image collecting and preprocessing; Build and train convolutional neural networks for object detection in different image sc
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: fluent


Machine Learning Engineer since 2017
Experience of product development from scratch to production
Experience of working remotely with a team from different time-zones
Experience of working both within a team and autonomous
Experience of leading a team up to 3 engineers
Experience of  working with Agile methodology (Jira, Scrum)
Position: Data Scientist
Category: Data Science
Experience: 2.5 years | English: intermediate

Deployment end-to-end ML models. Cover code with tests, creating documentation.
Machine Learning engineer with 2,5 years of experience using Python.
From July 2020 work as Data Scientist with key responsibilities in development and monitoring ML models. Analyzing customers data and creating analytics reports.

Practical skills ->
- Skills of analysis, research and evaluation of data quality;
- Finding correlations, data distribution, and samples;
- Conducting statistical experiments, testing the significance of statistical hypotheses;
- Regression and classification algorithms;
- Application of statistics in machine learning.

Machine Learning stack:
- SkLearn - building pipelines, forming train\test\val samples;
- NumPy - mathematical operations;
- Matplotlib - data visualization;
- Pandas - processing, loading and manipulation of data.

ML algorithms:
- XGBoost | LightGBM | Catboost | randomForest && Metrics: Accuracy, precision, recall, AUC-ROC, Gini - PSI - monitoring of production models
Deep learning:
- Basic understanding of the principles of building neural networks, TensorFlow implementation, PyTorch.

Python:
- OOP - splitting ml tasks into classes, writing libraries
- GeoPandas + OpenStreetMap - visualization of geo-analytics, data processing, building recommendations based on client data;
- Folium - html map rendering, heat maps, geoanalytics;

Docker.
Data Engineering
SQL in the SAP environment;
Propensity model match;
Git - CI\CD
R
Libraries for stat. data analysis and visualization, cleaning of training datasets, end-to-end data analysis

Other -> TypeScript, Node.js, React, SASS
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: upper


Machine Learning engineer with 2 years of work experience. Software Engineering background with proficiency in Python, JavaScript, C#, MLOps, DevOps, SQL, Containerization, and data analysis frameworks with further experience in the development and deployment of various ML models. Also a Theoretical CS enthusiast.
Position: Data Scientist
Category: Data Science
Experience: 6 years | English: fluent

- Worked on ​AI technologies ​to identify the World’s best filmmakers. ​Deep Neural Networks​, ​Natural Language Processing, Scoring and Data Management. ​| ​Python, BERT, ELMO, LSTMs, TensorFlow, RESTful API, MongoDB

- Worked on a ​digital marketing platform for higher follower engagement, using ​Deep Neural Networks​, ​Natural Language Processing. ​| ​Python, LSTMs, TensorFlow, RESTful
API

- Worked on a ​chatbot ​engine with text comprehension, using ​Neural Networks​, Natural Language Processing. ​| ​Python, LSTMs, Keras, DialogFlow, Rasa

- Designed and Developed a RESTful API for GAN image generation. The systems would periodically create new adversarial images based on user submissions.

- Worked on smart interfaces for robot control

- Developed custom AI system for an actuated robotic balloon to communicate with people in an exhibition space through movement

- Worked on a Generative Adversarial Architecture based on Echo State Networks, with applications to music generation. | ​Python, LSTMs, Echo State Networks, Theano

- Worked on Sentiment Analysis in Tweets and ​Natural Language Processing to develop engagement metrics for festivals

- Created a novel Neural Network architecture for the explanation of functional disorders
Machine Learning Engineer with a strong background in programming. He holds a
Doctorate in AI and Robotics, mainly focused on designing and implementing novel
Neural Network architectures. His main research interests involve Time Series data
prediction, as well as Natural Language Processing, Understanding and Generation.
His background helps make cutting edge research readily available to production.
Working with various Neural Architectures (RNNs, LSTMs, DNN, CNN, DBN, ESNs,
RNNPB). Programming Neural Nets from scratch to achieve state of the art results.
Experienced Linux user and an advocate of Open-Source software.
Able to coordinate teams, lead them in their projects, guide them through the learning
process. Manage tight budgets, organise learning and working schedules.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: intermediate


Machine Learning Engineer with two years of experience in developing and testing machine learning algorithms. I’m experienced with applying ML and DL algorithms in Object Detection, Image Matching, Visual Place Recognition, Stock Price Prediction, and other tasks.
Position: Data Scientist
Category: Data Science
Experience: 7 years | English: fluent

1. Oracle Database 11g SQL Fundamentals certificate.
2. Diploma in Master Degree from the University of Edinburgh which is in the word Top 20 and one of the leading in UK in IT.
3. Was a speaker in Digital Heights event of the bank.
4. Got a certificate from the Holding due to my influence in a bank data strategy.
- Machine Learning methods researching, analyzing advantages and drawbacks for the particular business problem.
- Implementing own machine learning model that solves specific business-problem: tree based models, clustering tasks
- Developed and collected business requirements for client’s system that includes ML algorithms (Use Case: Recommendation Engine)
- Analyzed potential Churn drivers / Churn stoppers and proposed customer some marketing
strategies to prevent churn (Use Case: Churn Management)

In my day-to-day activity I leverage the following tech stack: 
- Oracle SQL, PostgreSQL
- Python (Numpy, Pandas)
- Team support, management
- Jira
- Excel, Powerpoint
I'm a motivated Data Scientist, seeking a role with greater challenges and growth opportunities. My current position lacks the dynamic environment I thrive in. I highly value teamwork, transparent communication, and structured feedback. A setting that encourages autonomy and provides clear task definitions would allow me to leverage my skills effectively. I'm committed to contributing proactively and learning from experienced colleagues to achiev
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: fluent

Effective 'out-of-the-box' money laundering detection model.
- machine learning models for fraud detection and anti-money laundering
- time-series modelling 
- anomalies detection 
- customer segmentation 
- customer lifetime value 
- various data analysis tasks
- Positive and supportive workplace culture is a must. 
- Preferably product company. 
- Flexible working hours and possibility to work from home.
Position: Data Scientist
Category: Data Science
Experience: 11 years | English: upper


Main experience related to stock/crypto markets, developing of the algo-trading platform, back-testers, analytic platform, time-series forecasting using classical and deep learning approaches, rewriting algorithms to general-purpose PLs like C#/Java. web-scrapping. 

I worked for a few years (2011-2014) in statistical analysis and statistical survey domain (creation of complex sample designs). At that time I began to use tools like R, Python, SPSS macros, SAS. I have Master Degree in Math.

Also, I have worked as a freelancer for 5-6 years and worked with many little projects like hypothesis testing in medical research, marketing analysis, bayesian ab testing, NLP (3+ projects), DSP, many classical ML projects, etc

Last year I  have worked at Data Engineer position (not DS :( ), my responsibilities were maintaining AWS infrastructure, wrote news scrapers, scoring modeling.)
Now I am working as a consultant in a fintech company related to trading.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper


Main projects:
1. Natural gas demand forecast for large manufacturing.
Full stack data science pipeline:
– setting up the project, identifying business objectives, getting familiar with manufacturing;
– performing data engineering, preparation and exploration, generating reports.Continuous communication with business and manufacturing staff on the client side;
– feature engineering, modeling, model interpretation and deployment.

2. Predictive maintenance project for manufacturing (vibration analysis):
– setting up objectives and project, getting started in the field of vibration diagnostics and signal processing;
– exploration (visualization) of spectra, data quality assessment;
– performing unsupervised anomaly detection task on the spectra of vibration

Projects with minor involvement:
– churn prediction (data exploration, feature engineering and modeling);
– demand forecast in retail (modeling, research);
– air quality prediction (data preparation and cleaning).
I see myself in projects related to engineering or medicine, but I am open to any field if the tasks are interesting enough.
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: upper

- Winner of All-Ukrainian competition of student's scientific papers in "Mathematical methods, models in economics" (2016);
- Created documentation and user flow for ISO medical certification compliance;
- Hired 1 developer and 1 QA.
- Deep Learning Specialization (5 courses) from Coursera, Andrew Ng.
- Managed data science team(1-4 people).
- Developed system to notify user and doctor about occurrences of arrhythmias.
- Developed new architecture of ML-based biomedical signal analysis.
- Developed desktop application for multi-stage annotation for ML models in PyQT5, to assess performance of every stage of algorithm.
- Developed ECG signal quality assessment, for fast troubleshooting feedback to user.
- Taught myself cardiology.
- Developed biomedical signal processing pipeline for health analytics.
- Wrote three US provisional patent applications.
- Implemented methods from scientific papers.
- Chose proper sensor parameters (device registers) after reading device datasheet and application note.
- Minimized calculation burden and implemented data compression algorithms in cooperation with firmware developer.
- I'd like to work on the company's computer.
- I'd like to have opportunities for growth to lead/managerial positions.