lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: upper

Data Science professional training program at uData School, diploma with honors
Data Scientist with 1 year experience in Data Science and 4 years in software development, espeсially interested in Deep Learning and Computer Vision. 

Projects:

1. Healthcare project: developed deep learning model for predicting future patients diseases based on their
medical story.
2. Restaurant photo classification: developed model for predicting attribute labels for restaurants using
user-submitted photos(Transfer Learning)
3. Legal docs: Developed machine learning based model for extraction of the Logical Structure at the Legal
Documents
4. Tenders classification for Prozorro: developed NLP model for predicting category of a tender by it text
description for public e-procurement system
5. Video Anomaly Detection: developed deep learning model for anomalies detection in surveillance videos
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: intermediate

Four-time medalist of the All-Ukrainian Mathematical Olympiad, honorable mention in the Romanian Master of Mathematics
Data Scientist with 1 year of experience with a strong foundation in data analysis, statistical modeling, and machine learning techniques, using Python and SQL. I am skilled at extracting valuable insights from complex datasets and  transforming them into actionable strategies that drive business growth. Have experience with natural language processing (NLP) tasks. I am a quick learner, always seeking to expand my knowledge of emerging technologies and techniques within the field of data science.

Bachelor's degree in Applied Math, currently gaining a Master's degree in Applied Math.

Data Scientist, 09/2022 to Current
I worked on several tasks:
    Extracting, cleaning, analysis of large datasets of stock prices, and building ML models for scientific papers.
    Solving different NLP tasks, such as classification, summarization, and relation extraction.
    Managing data parsing team, coordinated and ensured the smooth and timely
execution of tasks by the team. Monitor progress, manage deadlines, and facilitate communication among team members to address any challenges or roadblocks, writing reports.
One of the key aspects of my work involved data extraction, cleaning, analysis, and presentation of large datasets. I utilized my expertise in data mining techniques to uncover valuable insights from complex and diverse data sources.
I want to participate in building production ML models and gain all new skills that it required
Position: Data Scientist
Category: Data Science
Experience: 2.5 years | English: upper


Data Scientist with 2.5 years of experience and a Master's Degree in Computer Science. Primary interests are NLP and computer vision domains. Previously a Full-Stack Software Engineer with 7 years of experience.

Past experience includes: supervised/unsupervised learning, deep learning, CNNs for images processing, object detection, visual similarity models, images classification, time series analysis and forecasting, imbalanced datasets, statistics, data visualization.

My previous project was in the banking domain and included classification task with imbalanced data, times series forecasting and image processing tasks.

Libraries & tools: Python, NumPy, scikit-learn, Keras, Tensorflow, PyTorch, LightGBM, FbProphet, Pandas, Docker, SQL.

Relevant courses taken: 
- Deep Learning Specialization (Coursera) 
- Machine Learning (Stanford Online).

Preferably looking for interesting projects in domains of NLP and image processing.
Position: Data Scientist
Category: Data Science
Experience: 2.5 years | English: fluent


Data Scientist with 2.5 years of experience. Tackled tasks from the entire life cycle of the data science project: data collection, data preprocessing, modelling, results evaluation and delivery to the client. Experience building robust ML solutions from experimentation to production. 
Fluency in Python for modern data science.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: fluent

In addition to work achievements, I enjoy participating in hackathons and competitions:
 - INT20H 2022 Hackathon: 1st place
 - CSC Hackathon 2021: 1st place
 - Student hackathon INT20H: 1st place
 - National Bank of Ukraine IT Challenge: 2nd place
 - Yandex.Realty: 7th place
 - Zindi Fraud Detection: 4th place
 - Sibur AI 2021: 11th place
 - Sibur AI 2020: 16th place
Data Scientist with 2 years experience in the Retail/Pricing domain. Specialize in Time-Series, GraphML, NLP with a focus on research.

-- Used Graph Neural Networks to create Product Embeddings for increasing calculations    accuracy of price elasticities
-- Developed a Product Matching system to find the same products in different stores with precision >95% and recall 70%
-- Designed Product Bundling system via Item-based RecSys to increase clients revenue by creating product bundles with discount
-- Improved existing Time-Series Model accuracy by 7% for better sales estimation and more precise repricing
-- Clustered Stores using geo and time-series data to find patterns of pricing across Ukraine
-- Carried out Recruitment Process: resume/test task screening, conducting tech interview
Not interested in Data Engineer/Data Analyst positions
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: fluent

Completed courses:
— Deep Learning Specialization (DNN, CNN, RNN) by DeepLearning.ai);
— Machine Learning by Stanford University (Coursera);
— Applied Machine Learning in Python by University of Michigan (Coursera);
— Introduction to Data Science in Python by University of Michigan (Coursera);
— Applied Plotting, Charting & Data Representation in Python by University of Michigan (Coursera);
Data Scientist with 2 years of experience and history of working in the retail industry and a research background. Hands-on experience with real data, resolving a variety of tasks in areas like NLP, Time Series, and Predictive Analytics, using Deep Learning and Machine Learning, Python (Pandas, Scikit-Learn, TensorFlow, etc.), SQL, statistics, and time series analysis
Projects:
— Customer churn prediction with the imbalanced dataset(~20% of positive class).
— Customer engagement prediction with a highly imbalanced dataset (~3% of positive class).
— Hourly/daily sales forecasting with different product categories and more than 40 selling points.
— Topic classification for 10k scientific documents with Top2Vec model on Sentence-BERT base.
More interested in Data Science/Machine Learning Engineer roles, than Data Analyst, Labeler ext.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: upper


Data Scientist with 2+ years of experience both commercial and non-commercial. Have experience and familiar with such parts of the machine learning process: EDA, preparing data, training neural networks, core DS models, time series forecasting, NLP, and deployment. Currently passing a TensorFlow developer specialization to improve my knowledge in DL field and TF skills and studying at university on Bachelor degree: Applied Mathematics specialization. 

Work experience:
1) Role: Data Scientist
Responsibilities:
Ridership modeling with two models LSTM Neural Network, XGBoost.
Development of LSTM Neural Network for time series dataset (with lag shifting approach) to predict ridership data. Usage of machine learning libraries such as TensorFlow, Keras. Providing prediction results using python library Matplotlib.
Development of XGBoost regression for time series dataset (with lag shifting approach and dummy variables+rolling values approach). Usage of machine learning libraries: scikit‑learn, xgboost. Providing prediction results: RMSE, MAPE and plotting forecasts for next 15, 30 and 60 days.

Tools: Jupyter Notebook, Google Colab, Python(TensorFlow, Keras, scikit-learn, pandas, numpy, scipy, statsmodels).

2) Role: Data Analyst
Responsibilities:
Migration of data from onpremise databases to GCP and development of appropriate metrics which are comparing on-premise data to migrated in cloud. Development of Grafana dashboards describing data with developed metrics.

Tools:
BigQuery, PostgreSQL, Grafana, GCP

3) Several self-learning projects
ML project to undertake challenging problem, gain experience and improve my knowledge in DS field.
Position: Data Scientist
Category: Data Science
Experience: 2.5 years | English: upper

Implementing data mining and statistical machine learning solutions to combat various business problems such as sales lead scoring, demand forecasting, supply chain optimization, and targeted marketing. Consolidated various data sources to create visualizations and reports for the management.
Develop audience extension models that rely on decision trees, logistic regression, random forest, and other categorical data.
Data Scientist with 2+ years of experience executing data-driven solutions to increase efficiency, accuracy, and utility of internal data processing. Experienced at creating data regression models, using predictive data modeling, and analyzing data mining algorithms to deliver insights and implement action-oriented solutions to complex business problems
Рarticipate in the realisation of an interesting and challenging project.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: intermediate

- Analyzing potential segments and forecasting the future demand of new customers in the bank
- Built customer churn model, which helped reduce client churn by ~20% with LogisticRegression, RandomForestClassifier, XGBClassifier, Pandas, Numpy, Plotly.
- Developed a recommendation system for assigning relevant personal offers customers in the banks with Alternating Least Squares, K-nearest neighbor using Implicit
- Research and implement NLP methods to extract relevant information from reviews in the webspace
- Trained and deployed text classifiers with Word Embeddings, LSTM, BERT using TensorFlow
- Develop and implement models using ML and NLP to analyze the business models of clients.
- Built Sentiment Classifier using Naive Bayes and Multiclass Logistic Regression to classify company reviews as +1, 0, -1 and implemented metrics to analyze sentiment distribution over different demographics.
- Built a time series model with 5000 data with a prediction for 3 years on the base of Python using Scikit-learn, Pandas, Numpy, Plotly.
Data scientist with 2+ years of experience in analyzing large data sets, implementing data preprocessing pipelines, and deploying machine learning models. The main domain of my work is IT, Marketing, Retail, Logistics, Bank. A confident user of Various Machine Learning algorithms: Regressions, Classifications, Clusterization, Time Series Forecasting, NLP, Image Analysis, Deep Learning, etc. A data-driven developer with highly adaptive skills in analyzing and investigating. Have a strong marketing background, problem-solving skills, and the ability to perform complicated tasks.
Position: Data Scientist
Category: Data Science
Experience: 2.5 years | English: upper


Data Scientist with 2 years of practical commercial experience in Natural Language Processing (NLP), Computer Vision (CV), and Recommender Systems. Available skills in data analysis using machine learning approaches to satisfy business needs, problem-solving, and other tasks in this sphere. A person who is focused on obtaining the best results, using all knowledge and skills. Friendly and ready to help the team complete tasks and solve certain problems.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper

As a notable accomplishment, I successfully completed the delivery for Alibaba POC one week ahead of schedule, receiving positive feedback during the subsequent review. In this capacity, I conducted thorough quality assurance measures, meticulously ensuring compliance with all specified requirements outlined in the agreement. These requirements encompassed various aspects, including video quality assessment and meticulous examination of head gestures against specific parameters.
Data Scientist with 3+ years of experience.

I demonstrated adeptness in conducting comprehensive testing and proficiently coordinating delivery processes for prominent big clients, such as Alibaba and Meta. I focused on ensuring the delivery of high-quality recordings by leveraging head pose movements and other relevant head gestures. 

Additionally, I fleshed out new features, proposed solutions to customer problems, and tested hypotheses through A/B tests, predictive modeling, and secondary analysis. I presented findings to colleagues, executives, and customers. 

Furthermore, I worked iteratively on a machine learning pipeline using AWS MediaConverter and Terraform to relate content characteristics, audience demographics, and context with viewer responses. Utilizing Looker Studio and BigQuery, I created interactive graphical representations of user data. Validated participant exercises and implemented quality assurance measures in pipelines, collaborating with data engineers using AWS Athena.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: intermediate


Data Scientist with 3+ years of experience in building data-intensive applications in various industries, handling full ML model development cycle. Experienced in data preprocessing, data mining, predictive modeling, and time-series forecasting to support decision-making and leverage data and analytics to derive business value.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper


Data Scientist with 4 years of professional experience in data cleaning, exploratory data analysis, NLP using machine learning techniques, dirty data processing , building ER diagrams, forming requirements for the database structure, recommendation system development, real-time price monitoring system development. Skilled at Python, Numpy, Pandas, Data Analysis, Natural Language Processing, Machine Learning,
Neural Nets.
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: intermediate

I have passed and earned such certificates as Programming on Python, Bioinformatics institute; Python: basics and application, Bioinformatics institute; Introducing in Data Science and Machine learning, Bioinformatics institute; Machine learning, Stanford University; Advanced Data Science with IBM, IBM.
Data scientist with a good theoretical and practical background with 1,5 year of experience in various fields - classic DS, machine learning, natural language processing, computer vision. Among the tasks covered were the following: Pose Estimation, Sentiment Analysis, Object Detection, Image Classification, Image Captioning, Accommodation Price Prediction, Time Series Analysis. 
The following tools and technologies were also used: Docker, Flask, Postman, Django, Git, Gradio (for demo deploying). 
Also as an additional tool I study C ++.
I will do my best to learn new technologies and new tasks, and also use the experience I already have.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: upper


Data Scientist with a good theoretical basis and passion for data integrity, visualization, and statistics. I’m excited to apply my passion for data science-related tests, such as collecting information, processing it, visualizing statistical data obtained, and developing interactive dashboards and applications. Specialist with 1+ years of experience in data science, created several POC demos for image to text similarity field using CLIP model and Streamlit framework, interactive dashboard for visualizing data using Plotly Dash.
Given the experience in the past and the current companies, I would like to perform as many tasks as possible in the field of data scientist. There was experience in doing small tasks as a data engineer and data analyst, creating and deploying poc, creating interactive dashboards for data visualization using Dash Plotly, which also interests me.
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: fluent

- Improved accuracy of automatic freight management system from 40% to 93% by a small set of simple condition checks
- Provided CS background for SOTA physical experiment with lasers and force-clamps, while keeping a simple interface for scientists who are unqualified in CS
- Took part in the creation of fundamental standards of DS operations and project flow
Data scientist with a very wide area of expertise due to recent consulting experience, including analytics for X5 retail, R&D for Gazpromneft, EDA for DB Schenker, research project for the University of Pennsylvania, etc.
Has solid CS background, managed DS/ML engineering team for many R&D projects.
Also has experience with DL projects. Worked a lot with scientific sources for development projects.
I am currently located in Armenia, ready for relocation. My current tax residence country is Armenia.
Jobs with possible further transfer to team lead/manager-like positions are preferable
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: fluent

- Master degeree: Department of applied system analysis.
  NATIONAL TECHNICAL UNIVERSITY OF UKRAINE
  'KYIV POLYTECHNIC INSTITUTE'

- Bachelor degree: Department of applied physics. Computer 
  physics and nanotechnology
UZHGOROD NATIONAL UNIVERSITY

Competitions:
AI SPRING HACKATON 2018
(Participant)
MODULBANK AI HACK MSK 2018
(Participant)
KAGGLE’s competitions 2018
(Participant)
Startup competition 2016-2017
(1st place)
Data scientist with banking industry experience.

Skills:
‒ Processing, cleaning, and verifying the integrity of data used for analysis;
‒ Performing data analysis and presenting results in a clear manner;
‒ Generating features, building classifiers, predictive models using machine learning techniques.
‒ SQL(ORACLE, SQLite);
‒ Python(Pandas, Numpy, Matplotlib, Seaborn, Scikit-learn, 
 Requests, BeautifulSoup4,Tkinter, XGBoost);
‒ Machine learning algorithms;
‒ Mathematics.

Courses: 
Data science (UKRAINIAN DATA SCIENCE),
Python (BIOINFORMATICS INSTITUTE),
ODS.ai  (#mlcourse_open)
Position: Data Scientist
Category: Data Science
Experience: 8 years | English: upper

Competitions Master on Kaggle
Data Scientist with deep math and Computer Science background.
Full Stack Machine Learning Engineer: strong programming skills, hands-on Cloud/Linux/Big Data.
I have 5+ years in ML/Data Science, worked on many projects from various domains: NLP, Computer Vision, Fintech.
I've delivered several large-scale projects including Deep Learning based

Former Java developer
Competitions Master on Kaggle
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: fluent


Data Scientist with domain knowledge in finance. Specialized in developing and implementing innovative machine learning models to solve business problems. With a strong foundation in data analysis, statistics, and programming, dedicated to driving actionable insights and delivering measurable results.
Position: Data Scientist
Category: Data Science
Experience: 2.5 years | English: intermediate


Data Scientist with experience in computer vision. Skilled in various projects covering object detection, tracking, and recognition, with a focus on deploying solutions on both cloud and edge devices. Experienced in utilizing Automated ML solutions.
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: fluent

Active Data Science community member. 
- I contribute code to open-source projects
- I enjoy writing ML-related posts at Stack OverFlow
Data Scientist with experience in NLP, Computer Vision and Quantitative Analysis. Developed and delivered to production several ML models(supervised and unsupervised) on different platforms. Fine-tuned NLP models on domain specific data. Created multiple PoCs and refined them to MVP.
I am looking for NLP/Computer Vision projects, where Data Science is essential part of it
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper


data scientist with experience in time series, classification, building heat map and heat map service
want to challenge myself in strong DS team of people with desire to find smth new and to improve themselves
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper


Data Scientist with experience of full cycle of ML models development: data processing and analysis, designing and evaluating ML models, deploying them (mostly as a Flask web-app in Docker on Google Cloud), A/B testing, monitoring and supporting deployed models.
Worked both with classical ML models, and with NNs in tensorflow=1.x, keras; performed maintenance of models in PyTorch and Theano. Well-versed in SQL (BigQuery, Spark SQL), experience of no-SQL databases (MongoDB, Neo4j). Worked on recommendation systems, sentiment scoring models.
Position: Data Scientist
Category: Data Science
Experience: 2.5 years | English: upper

Work on Concatenate NN which try to find a small pattern in a huge image - pattern matching field but updated with a deep learning approach. 
Social platforms with AI processor which classify design of advertisement which people click on and describe people need to increase conversation per mount on advertisement   
Create AutoML infrastructure for large scale data on PySpark
Basic classification of poison mushroom type 
Experimenting with YOLO models and trying to optimize object detection process
Research the way of assessing news for adequacy by the ensemble of BERT transformers models based on Open AI 
Time series processing project to find correlation between air alarm and weather.
Data Scientist, with good knowledge and skills in software engineering and math. Has experience in commercial software development of products from scratch.

Previously business domains: e-commerce, Auto-ML, AdTech, Science.

Experience

Work on Concatenate NN which try to find a small pattern in a huge image - pattern matching field but
updated with a deep learning approach.
 
Social platforms with AI processor which classify design of advertisement which people click on and describe
people need to increase conversation per mount on advertisement
 
Create AutoML infrastructure for large scale data on PySpark
 
Basic classification of poison mushroom type
 
Experimenting with YOLO models and trying to optimize object detection process
 
Research the way of assessing news for adequacy by the ensemble of BERT transformers models based on
Open AI
 
Time series processing project to find correlation between air alarm and weather.
About my responsibility

I have experience in the optimization of old and inefficient data driven processes, data processing, data
analysis and ML/DL models.

Create model from scratch

Manage data to use in model train
 
Deploy models
 
working with transformers models
my expectations are based on getting into a project in which I can realize myself as a data scientist and be able to create a good product and progress in knowledge