lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper

- 2nd place at SPF ML 2023 Hackhathon run by KNU
- 2nd place in the competition of team projects at the DES2023 Winter School run by LNU
- INT20H 2023 Hackaton in Data Science (participant in final round)

Courses:
- Data Science Fundamentals (DataRoot Labs)
- Python Online Marathon (Softserve)
- Data Engineering and Security School 2023 (LNU)
- Wildau-Kharkiv IT Bridge (2022)
I finished 3 courses - Probability & Statistics, Data Mining and Programming for Data Analysis.
I am a 3 rd year student of computer engineering in Oles Honchar Dnipro National university and Intern Data Scientist. 
A list of projects and tasks that I have had experience with:
- Django web-application for searching by country legacy status of cryptocurrency
- Object detection system for video / image sequences from drones
- Sentiment analysis of comments in YouTube using LSTM
- U-net, YOLOv3 models implemented from scratch in PyTorch for image detection and classification
- Web-scrapping using bs4 python
- Data extraction using Google Maps API, Folium and GeoPandas (locations of shops in Ukraine where you currently can pay with crypto)
- Patients classification by diagnosis using KNN (university course)
- Regression tasks. For example, stroke prediction using Kaggle dataset.
- Correlation analysis of events and user properties in taxi ordering app (hackaton task for qualifying round)
- Binary and Multi-class classification in Pytorch
- Data visualization using Altair, Seaborn and Matplotlib


Technology stack:
	Programming languages - Python, C++
	Libraries for data analysis and visualization, machine learning, deep learning - NumPy, 	SciPy, 	Pandas, GeoPandas, Folium, Seaborn, Altair, Scikit-learn, XGBoost, Pytorch
	Frameworks: Flask, Django.
	Database: RDBMS, PostgreSQL
	Deployment tools: Docker, Git/Github
Position: Data Scientist
Category: SQL
Experience: 1 years | English: upper


I am a 4th year university student Western Caspian University and in practice, with other students, we are developing a program to see the events that will take place and what will be in this event, and there I create a PostgreSQL database.
Oracle PL/Sql studied at udemy courses there is basic knowledge of Java
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: fluent

I stand as one of the most accomplished students in my group, demonstrating particular knowledge in the fields of mathematics, algorithms, and data structures.

Additionally, my capacity for effective time management and multitasking has been tested throughout the past three years. Since high school, I have balanced both academic and commercial work simultaneously.
I am a Computer Science student transitioning into a new career in Data Science, after spending three years gaining experience in the 3D Artistry field.

While my previous experience in 3D gaming projects may not directly align with my current career path, it contributed to my strong problem-solving skills and the ability to adapt to rapidly changing environments.

Today, my focus is entirely on Data Science. I am working on creating non-commercial machine learning projects and gaining a thorough understanding of data science theory. 

Additionally, during my university studies, I took courses in Python, Data Science, Algorithms and Data Structures and Math, which have been advantageous in developing my technical skills and deepening my understanding of these complex subjects.
Currently, my preference is a full-time role that offers the flexibility of remote work. However, I am also open to exploring part-time opportunities that may require in-person presence, provided the workplace is located in Prague.
Position: Data Scientist
Category: Data Analyst
Experience: 9 years | English: upper


I am a data analyst and data science consultant with 9 years of experience in building machine learning models, performing statistical analysis, and developing data pipelines for automated data scraping, preprocessing, and reporting. I am proficient in R, SPSS, SQL, Excel, and familiar with Tableau, Power BI, and Python. My expertise includes working with marketing research data, ad data (Google, Facebook), financial data (client transactions), telemetry, and other types of data.
To obtain a part-time or freelance data analyst or data science position that utilizes my experience in machine learning, statistical analysis, segmentation, and data pipeline building.
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: upper


I am a data analyst/ data scientist with experience in financial institutions. Have strong skills in mathematical modelling and solving business problems with analytical models.

I hold MSc degree in Statistics, which provided me with strong background in statistics and ability to quickly learn new technologies, frameworks and algorithms.
Willing ro restart my career as a Data Scientist in IT.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: fluent


I am a Data Analyst with 3 years of experience. I have solid skills in both data analysis and programming. 

My Expertise:
The tasks I had to perform in my last role include building ETL pipelines, analyzing key metrics, developing and coding fraud detection algorithms using Python, training machine learning models with Scikit-learn and TensorFlow, visualizing algorithms' performance on dashboards with Tableau.

Skillset:
Python, SQL, Pandas, Tensorflow, classical ML algorithms, classification algorithms, deep learning, Tableau.

Education:
Bachelor's degree in Computer Science (Igor Sikorsky Kyiv Polytechnic Institute).
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: upper


I am a data science I am able to give some communication solutions to clients taking into account the wishes of business.
mlkm;kknklnlkl lkkdsvksdvkdjgkdj;gjdkbkxn;nfdlnbvkfnblnfklnbklndklnbklnlknklnlknlnlknlnnl
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper


I am a Data Science specialist with more than 3 years experience. I have experiences in Statistical modelling such as customer segmentations, risk scoring models, limit management for card credits and etc. Additionally, I have experiences with Machine Learning and Deep Learning fields (Natural Language Processing, Image classification, Object Detection and etc.)
Position: Data Scientist
Category: Data Science
Experience: 11 years | English: fluent

- As part of aiworker/mindhack.me team I have created one of the 1st working prototypes that connect Brain Computer Interface (Neurosky headset) with AR Google Glass, which allows you to control music and type simple DNA based text just with your brain waves.
- Created and successfully teached few times, online course "Data Science for beginners with R''
I am a Data Scientist and believer in technological singularity.

From 2006 to 2014 I have worked as Data Analytics, applying various mathematical techniques (neural network, fuzzy logic, clustering & classification, multi dimensional time series, regression, statistics) to design complex analytical solutions and visualize data in an interactive way, as well as communicating results, technical constraints, and decisions to the business and non-specialists. Major programming tools that I used at that time was Matlab, R, SAS, C#, C++.

From 2014 my research interests extended far beyond classical math and neural networks, extending to domains of Dynamical Systems, Brain Computer Interfaces, Space Elevator and AR/VR technology. That was a time when I learned  Java/Android programming, was co-founder of a startup, was organizer and  lecturer for the Copernicus Space Elevator bootcamp.

At the end of 2015 I returned to the e-commerce field  as part of NOOSPHERE data science team. In 2017 I joined N-IX, where I worked as a Sr. Data Scientist, responsible for performing R&D and feasibility studies, alongside with technological and scientific consulting. And since mid 2019 shifted to work with fashion startup MySize. During this period, I was involved in development and amplification of the data science teams. And I actively applied k-means/c-means/dbscan, multiple regression, anomaly detection,  state-of-the-art approaches to time-series analysis like FFT/Wavelet transformations, NLP, Convolution Neural Network and other image classifications techniques. R, Python and Matlab were the main programming languages.

My motto could best described by Terence McKenna famous words:
"The universe is an engine designed for the production and conservation of novelty and that as novelty increases, so does complexity. With each level of complexity achieved becoming the platform for a further ascent into complexity."

more details you would find on my linkedin page
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper

DataCamp Premium access via Data Insight Scholarship (1 year) 
	Simple CO. - Data Science training 
	STAT4ML - Statistics and Mathematics for Machine Learning by Omid Safarza
I am a Data Scientist . As a part of team, I have worked on projects on Classsification and Regression problems to optimizing ML model.
These are included in my core skills:
•	Preprocessing the data with the help of Statistics
•	A thorough investigation of the problem using Python and R
•	Building efficent models based on cleaned and scaled data
 
Work experience:

ICT lab of Baku Engineering University					06/2019 - 05/2020
Machine Learning Engineer
	Collecting Stundent’s information Full Name, faculty and specialty and analyzing informations
	Visualization of analyzed data on builted website

Omdena									
06/2022 - 08/2022
Junior Machine Learning Engineer
•       Using NLP and Machine Learning to Build Sustainability Benchmarking System Globally.
Building ML models according to company requirements.Developing created models by modifying scikit-learn default library models
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: upper


I am a data scientist proficient in various libraries such as Pandas, NumPy, scikit-learn, and TensorFlow. With a strong background in data analysis and machine learning, I have successfully completed projects that involved handling and analyzing large datasets. Additionally, I have prior experience working on a big data project called 'DigData AI.' I am seeking remote opportunities to apply my skills and contribute to impactful projects. I am passionate about leveraging data-driven insights to drive informed decision-making and solve complex problems. I am a dedicated team player and possess excellent problem-solving abilities. Let's collaborate and make a difference together!
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper


I am a Data Scientist specializing in Machine Learning algorithms and Database management. I have a strong experience on end-to-end mathematical models development. I am skilled in Python, SQL, Java. Also have experience in Julia, Solidity, Docker languages. I have successfully attended one of the best offline courses in Ukraine - Udata School.
I am ready to put my skills at the service of challenging fast growing projects with a long-term vision of development. I am convinced to be a strong fit on these types of projects thanks to my excellents problem solving skills.
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: fluent

- Full cycle of LLM fine-tuning for summarization and classification (supervised + RLHF for mosaic/mpt-7b model)
- Entity recognition, definition and linking using GPT-4 chains
- Documemnt semantic taxonomy using GPT-4 chains
- Semantic search based on pinecone embeddings + GPT-4 answer extraction
- Setup and management of taxonomy&ontology data annotation process: hiring annotators, building an active learning annotation tool, training, and monitoring models
- Taxonomy creation using BertTopic and Sentence-transformers
I am a data scientist specializing in NLP with 4 years of experience in data science and machine learning, currently in a team lead role managing the Taxonomy stream. I've successfully completed various projects in text classification, paraphrase mining, topic modeling, taxonomy & ontology creation, clusterization, hierarchical classification, text summarization, and conversational chatbots.
Tech stack:
- frameforks: langchain[openai, anthropic], hugging face transformers, sentence-transformers, pytorch, sklearn, opencv
- infra: AWS sagemaker, pinecone, lambda, elastic-search, postgreSQL, mongoDB, Docker

Previously I was a software developer (Python and C#) responsible for business automation involving backend and UI software development for data and business analytics, managing data flow in and out of the SQL database, developing systems for web-scraping, business automation, data processing, parsing, mapping, and visualization.


Other advantages of mine are as follows:
-fluent spoken and written English certified with translators diploma;
-mathematics, statistics and economics education background
-outstanding communicational and leadership skills;
-experience of working within scrum and kanban frameworks;
-ability to work efficiently in teams;
-inherent creativity and the optimization-oriented mindset;
-tons of motivation resulting in fast learning and great efficiency.
Position: Data Scientist
Category: Data Science
Experience: 8 years | English: pre


I am a Data Scientist who has worked in various fields related to data and has more than 8 years of work experience. I am planning to continue my career as a Financial Data Scientist as I have a long background in the banking industry and love to deal with time series and tabular data.

• Time Series Forecating
- Understanding business objectives and formulate the problem as a Time Series problem
- Preparation of dataset with SQL as well as analysis and visualization with Tableau, Python (Matplotlib, Seaborn)
- In-depth applied of classical statistical forecasting algorithms like ARIMA, ETS, etc. as well as new age algorithms like Prophet, Autogluon Time Series Forecasting

• Tabular Prediction
- Carrying out preprocessing of structured data
- Making Prediction using standard Regression algorithms like Linear Regression, Gradient Boosted Decision Trees, Random forest, etc.

• Chatbot
- Migration of Chatbot built on Rasa framework to new version
- Supporting and improvement Chatbot content

• Sentiment analysis
- Labeling, visualization, and cleaning of tourist feedback
- For classification, Keras framework (LSTM, Word Embedding and Convolution1D), also BERT model are applied comparatively
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: upper


I am a Data Scientist with 1.5 years of experience in the banking domain. So far I have finished customer churn prediction for a retail bank, and behavioral analysis of customers. Also, I did research on the speech control system for mobile devices in the Azerbaijani language. I am using Python, Pandas, and Pyspark for modeling and Apache Superset for visualization.
I can undertake data collection, preprocessing, and analysis; build predictive models to address business problems; present information using the data visualization technique.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: fluent


I am a data scientist with 1.5 years of work experience in teaching statistics and data science to master's students at Kyiv School of Economics.

# Work Experience
Teaching Assistant in Statistics and Econometrics

Responsible for explanation of theoretical concepts in Statistics and Machine Learning fundamentals, and conducting coding classes for KSE master’s students.
- Prepared and explained 70+ coding snippets in R and Python to students on the topics of hypothesis testing, regression analysis, classification, clustering, time series analysis, forecasting, supervised and unsupervised machine learning, and data visualization.
- Gave 40+ lectures and taught 8+ courses and bootcamps in English on variety of topics in Statistics, Econometrics and Mathematics.

# Skills
- Programming Languages:
   • R (tidyverse, ggplot2, caret; 3 years of work experience);
   • Python (pandas, scikit-learn, tensorflow, matplotlib, statsmodels, xgboost, 2 years of work experience);
   • SQL (PostgreSQL, MySQL).
- Tools/Platforms: Git/GitHub, VSCode, Quarto.
- Analytics: Tableau (1 year of work experience).

# Competences
My general analytical competences include data visualization, statistical analysis, regression analysis, hypothesis testing, time series analysis, data extraction from various sources (database, API, web scraping), data cleaning, feature engineering.
As a Machine Learning practitioner, I have experience in estimation of core ML models such as boosted trees, neural networks, deep Q-learning; hyperparameter tuning; optimal model selection; building ML pipelines.
My strength is my ability to explain complex concepts in a simple and intuitive way.

I am passionate about using data to drive insights and make informed decisions and currently looking for a job as Data Scientist or Data Analyst.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: intermediate

Development NLP AI services (example: convert text messages to sql query)
I am a Data Scientist with 3 years of commercial experience in the Python programming area and one year of commercial experience in ML. My experience includes Big Data Analytics and finding ways to use the company's data to grow business, AI services development, and back-end web development with Flask and Django Frameworks.
I want to work on interesting projects with NLP in a small team.
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: fluent

1st Place,  Malawi Flood Data Visualization Challenge   |  (Jun 2020)
Nominee,  World Bank Geo Data4vernance Hackathon |  Feb 2020
3rd Place, Zindi Africa Uber Incidence Prediction Challenge  |  Jan 2020
Top 5 Best Data Scientist in DataScience Nigeria BootCamp  |  2018, 2019
Ranked top 1% Data Scientist of over 300,000 Data scientist in |  Current zindi.africa (Africa’s Biggest ML Competition Platform).
3rd Place,Xente Credit Scoring Challenge.                | Jan 2020
Pioneered the design and architecture of GIS map for  on-field data collection system. | Current
Architect an ETL process from diverse spatial data sources that guided navigation during data collection, resulting in 30% increase in enumeration time.	| Current
I am a Data Scientist with 4+ years of experience with proven track record in building data-driven products, machine learning and  geospatial-intelligent solutions across the health and retail industry.  I have built projects that cut across qualitative data enumeration, machine learning, computer vision, earth observation, data visualization, and applied research.

I have worked in:
-- Developing software from product specifications to deployment, given my strong background in computer engineering (Python, Javascript, HTML, CSS,Git, Elasticsearch, Docker, RestAPI, Django, Kubernetes, Spark )
-- Designing machine learning(NLP, Computer Vision) algorithms into production (NLTK, Scikit-Learn, Tensorflow, MLOPs, Distributed Training, Model Monitoring, MLflow).
-- Analysing & Visualizing data (,Tableau, Google Sheet, Panda, Rasterio, Matplotlib, Google Sheet, Google Earth Engine, QGIS)
-- Wrangling and Mining data from diverse sources  (PostgreSQL, ETL, BigQuery, Beautifulsoup, QGIS )
-- Community, Sharing, and Writing: Top % Data scientist in zindi.africa.
-- Documentation and blog writing

Some of my currently work include;
- I have led the collaboration and communication with a cross-functional team of software engineers, clients, and key stakeholders in eliciting product requirements into actionable business metrics.

- I have developed databases for datacollection to identify 12,000+ local drug store locations, revenue, exit rate, and accessibility opportunities using 1000+ crowdsourced community members.

- i have built an end-to-end deep learning model to classify Community pharmacies (CP) and Proprietary Patents and Medicine Vendors (PPMV) stores, achieved >90% accuracy using ResNet-50 with PyTorch resulting in 50% of data Q/A check-time.

- I have worked extensively in architecting ETL pipelines (Python, BigQuery) from spatial databases with Satellite imagery for interactive analytics dashboards and report building in location intelligence platform.
Vision Driven Team: Innovative with constant checks for growth at each iteration
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: upper

Created ML model for a company that made them possible to drop service time for
specific group of customers and and also extended that group of customers, which
generated more revenue and competitors on the market started developing the same ML
model.The idea of this model was initiated by me.Company was more than 10 000
employee size

Physics olympiad winner in Republic Of Georgia

5th place in Georgian SAT between 35 000 participants
I am a Data Scientist with 4+ years of experience.
worked for 4 companies in total.Currently working for WTX , where I already accomplished:
 Developed "on-shelf" model to classify all products in stock based on internal and external data
 Trained and deployed model in production using Azure machine learning studio.I used github actions for CI/CD,
Terraform for the infrastructure and Mlflow as an orchestrator
 Architected and designed efficient and scalable data pipelines that can extract, transform, and load data from several sources into the data warehouse or data lake.For example ETL than extracted data from Hubspot using Hubspot api ,
transform and loaded into Azure data lake
 Data modeling and schema design: designed and implemented database schemas, defined tables, fields, relationships, and constraints to support efficient data storage and retrieval
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: intermediate

Bachelors and Masters degree in Computer Science area. PhD in progress.
I am a data scientist with an academic background in Computer Science and 3.5 years of experience developing Machine Learning models and analytical tools.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: upper


I am a Data Scientist with two years of experience. I began my Data Science journey during my Ph.D. and became familiar with technologies such as Python, SQL, and R, implementing them in scientific research projects. In addition to my Ph.D., I have worked as a Data Scientist in scientific research projects, focusing on data analysis within epidemiology and microbiology (supervised and unsupervised learning). In my commercial experience, I worked in the AML (Anti-Money Laundering) unit of a financial branch, where I provided data pipeline integration, transaction monitoring, and providing customer segmentation and data analysis with ML solutions (unsupervised learning). I have also participated in a hackathon within Deep Learning (Computer Vision within Healthcare - integration of deep learning architecture for parasites detection). Bioinformatics is a field of my interests as well (DNA data analysis with taxonomy assignment). I am an open-minded person, looking for interesting projects mainly in fintech or healthcare, but others fields are within the scope as well.