lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Scientist/Engineer
Category: Python
Experience: 4 years | English: fluent

Have constructed the Data Pipeline system using ETL tools from the scratch. 
Set up the Data Lake & Warehouse with the visualization tool, Apache Kafka and Apache Airflow on Kubernetes. Have developed few Data Science projects and set up it on Kubernetes.
Data Engineer / Analyst who works with Big Data projects. The main programming tool is Python. Sometimes using Cython for process optimization. Main library for data transformation is Pandas. Using Sklearn, Tensorflow for Data Science projects (obviously).
Using Tableau, apache superset for data visualization. Kafka for streaming for Apache Airflow for tasks orchestration
Work more with data science and machine learning projects.
In addition to this, I want to continue exploring the world of Big Data Engineering. Preferred domain is Investments as I passed CFA Level 2 and has good knowledge of this domain
Position: Data Scientist/Engineer/Analyst/Architect
Category: Data Engineer
Experience: 8 years | English: fluent


Data expert with the knowledge of applying full data processing pipeline starting from data collection and storage to advanced analytics and data visualization. Extensive experience in text analytics. Proven project leader with deep experience working with diverse groups of people on international projects and in start-up environments.
Good project governance and defined KPIs
Position: Data Scientist Engineer / Computer Vision Engineer
Category: Data Science
Experience: 1 years | English: fluent

I produce basketball analytics about players based on the videos.   We worked on action detection; we have precision 82% and f1 score 72% for shots. 

I worked with sentiment text analysis on tweets, fashion suggestion based on a photo of the clothes, take part in Kaggle challenge, the task is film suggestion based on the user's watching history.

Bachelor in UCU (Computer Science)
I was working on Computer Vision team on such tasks:
- Ball detection and tracking on videos of basketball matches. 
  We are using YOLO v3 and SiamMask. 
- Action detection: shoot, pass detection. 
  We are using RGB-based and optical flow action detection, with precision 82% and f1 score 72% for shots.

Make visualizations using Altair.

My English level is C1 on  IELTS.
Like to work in a team.
Position: Data Scientist (freelance)
Category: Data Science
Experience: 2 years | English: intermediate

Built an algorithm for optimizing auto-responses in online chat (minimizing human participation, programming bot auto-responses)

Sentiment Analysis of comments in the social network on a certain topic (political parties before elections)
2 years experience in data analytics (financial organization)

Programming Languages :

-R (preferred)
-Python 
-SQL

Skills:

- Text Mining: n-grams, tokenization, lda, topic modeling, wordcloud, sentiment analysis
- Math. models: linear regression, logistic regression, decision trees, xgboost, clustering (k-means, Kohonen maps). Experience in recommender system (using SVD)
- Using mathematical models for commertional goals
Interesting data science projects with hard but real tasks
Position: Data Scientist/Full Stack Python
Category: Data Engineer
Experience: 4 years | English: upper


4 years of Python experience.
4 years of commercial experience working on various projects including DevOps, Data Science, Neural Networks, Data Engineering, Data Scraping, Data Visualization, Backend Development, Technical Article Writing, Research of New Technologies

Some of the stacks I worked with:
ElasticSearch/Kibana/Logstash
JS/Flask/TensorFlow/Mongo
Scrapy/Splash/Lua/Scrapinghub
Selenium/MySQL/sqlalchemy

Official title - Data Scientist
Position: Data Scientist Intern/Trainee/Junior
Category: Data Science
Experience: 0 years | English: upper

Completed different ML, DL and related to them educational courses:
* Relational Algebra from Stanford University 
* Machine Learning by Andrew Ng, Coursera 
* Statistics and Probability by Khan Academy 
* SQL (edX) 
* Deep Learning by Andrew Ng, Coursera 
* Reinforcement Learning by David Silver
Studying Data Science.
Completed Big Data practice and geodata course project at Kyivstar Big Data School (2020)f.
Looking for the first commercial experience and practice, ready for Intern/Trainee/Junior positons (part time remote or flexible remote).
Switching from Finance domain (10+ years of experience in financial markets) to Data Science.
Would be great to merge the financial domain experience with the new data science knowledge and skills.
Major fields of interest are Deep Learning and Reinforcement Learning.
Position: Data scientist, Java Developer
Category: Java
Experience: 1 years | English: fluent

I was working on freelance, making some small website.
Also, I have experience in few startups, making some web services on Java.
Currently, I am working on my private project with image recognizing and Machine Learning, using Python.
Developing web service on Java.
Developing Machine Learning projects on Python.
I am looking for a Job in IT sphere. I am interested in working in projects that is using AI and ML.
Position: Data Scientist | Java Developer
Category: Data Science
Experience: 0.5 years | English: upper

Education:
- master's degree, Applied Data Science, Vistula University (Warsaw) - in progress
- bachelor, Computer science, Faculty of Thermal Energy, Kyiv Polytechnic Institute
Skills:
- Python: Pandas, NumPy, SciKit-Learn, Matplotlib, Seaborn, Tensorflow 
- SQL, Git, C++, Delphi.

Duties:
- collecting statistics data about customers;
- modifying recommender system;
- creating statistics reports for stakeholders.
My goal is to become full-stack ML-enginier.
So I'd like to work in a company that gives me an appointment to work with different technologys.
Position: Data Scientist (Junior)
Category: Data Science
Experience: 11 years | English: upper

Zindi competition: Akeed Restaurant Recommendation Challenge, certificate
10+ years of experience running own business in e-commerce. 3 years of profound learning in Data Science. 

Recent learning in DS and ML: 
Machine Learning & Neural Networks - Transformer Project – Nov. 2021 - Present
Practical course on SQL, stepik, Far Eastern Federal University – Mar. 2022 certificate
Big Data School, Kyivstar – Dec. 2020
Final project – 2nd place, general score – 5th place out of 50
Mentorship program, Data Science UA – May 2020 – Dec. 2020 Python Programming, stepik, Bioinformatics Institute – Mar. 2020
certificate
Discrete Mathematics, stepik, Computer Science Center – Feb. 2020 certificate
Statistics, stepik, Bioinformatics Institute – Jan. 2020 certificate 1
certificate 2
Machine Learning and Data Analysis, Coursera, Moscow Institute of Physics and Technology, Yandex & E-Learning Development Fund
6 certificates – Dec. 2019

Previous experience:

Dec. 2008 – Present - Owner of 4 online shops (e-commerce)
Managing all processes: assortment, purchasing, clients` relationships, finance, advertising, business analysis

Mar.2007 – Oct.2008 - Lead economist at Alfa Bank, E-call (banking)
Supervising team of 16 members, dept department

Jul.2006 - Feb.2007 - Economist at Intesa Sanpaolo Group, Pravex Bank (banking)
Clients’ consulting and crediting
I am looking for a position in DS. I now live in London, UK, and am ready to move to another country. I don't have job experience in data science yet (if not consider practical assignments to graduate from programs and competitions). But I have the knowledge, passion, and well-developed soft skills.
Position: Data Scientist Junior
Category: Data Science
Experience: 1 years | English: upper

Gold medal at the European Girls' Olympiad in Informatics (EGOI) in 2022
⋅ Silver medal at the European Girls' Olympiad in Informatics (EGOI) in 2021
⋅ Second degree diploma at the All-Ukrainian Olympiad in Computer Science in 2021
⋅ Bronze medals at the Baltic Olympiad in Informatics (BOI) in 2021
⋅ Bronze medals at two International Autumn Tournaments in Informatics (IATI) in 2021
⋅ First degree diploma at the All-Ukrainian Olympiad in Mathematics in 2021
⋅ Silver medal at the European Girls' Olympiad in Mathematics (EGMO) in 2020
Data Scientist Intern - Grid Dynamics - November/2021 – August/2022
Yuliia was selected for a Data Science course for talented children conducted by the IT company Grid Dynamics and received a scholarship for 9 months. As part of the course, she wrote a project that analyzed comments in posts on the Instagram social network and gave out what emotions the person who wrote the comment felt (there were 6 classes of emotions).Also,she wrote predicting course btc/usd and weather classification.
Data Scientist Junior - Grid Dynamics - August/2022 – October/2022
Position: Data Scientist, Junior QA Engineer, Junior Python Developer
Category: Python
Experience: 1 years | English: intermediate


Was engaged in testing and support of server software. Developed window application integrations. I was engaged in the development of bots. Developed and trained neural networks for air reconnaissance purposes. I have skills in using Docker, Kubernetes, Airflow, Git.
Frontend development, JavaScript, Assembler.
Position: Data Scientist / Lead
Category: Data Science
Experience: 10 years | English: upper

- Built from scratch data analytics platform to cover all zones of responsibility of the team in real-time
- Managed the development of the cutting-edge high-load system (5k requests/second) for real-time data analysis with a big impact on the further company revenue
- Leaded the implementation of different Machine Learning models in business processes of the team
- Implemented Agile approaches in the team workflow
- Increased Key metrics of the team in more than 15-20x times with the help of ML and automation
Senior Decision Scientist, Data Team (6+ months)
======================================
Responsibilities:
> Collaboration with business stakeholders
> Task planning & prioritization
> Mentorship
> R&D
> Data Platform development
> Data modeling & quality assurance
> Descriptive & predictive analytics
> Ad-hoc analysis
> Reporting automation

Tech Lead / Data Scientist (4+ years)
======================================
Responsibilities: 
> Collaboration with business stakeholders
> Task planning & prioritization
> Mentorship
> R&D
> Architecture design of Anti-fraud / in-house solutions
> ML models development
> MLOps
> Hypothesis testing
> Ad-hoc analysis
> Fraud / anomaly detection
> Behavioral analysis & clustering (mobile & web traffic)
> Reporting automation

Data Analyst (5 years)
======================================
Responsibilities:
> Data mining
> Data analytics
> Geospatial / chart visualization
> Pattern recognition
> Writing Anti-fraud rules
> Risk assessment
> Business process automation
- Challenging tasks in Data science field
- Friendly and effective team
- Modern and comfortable workspace
Position: Data Scientist / Lead Data Scientist
Category: Data Science
Experience: 5 years | English: upper

- Kaggle Competitions: Foursquare - Location Matching - top 4%
- Notebooks Expert in Kaggle (Top 15% Data Scientists)
- Published 5+ papers in the data science field
Product Company (NDA)

As the Data Science Lead, I have managed a team of 5 professionals for about 1 year. Together, we have worked on a variety of projects, including the development of recommendation systems, business matching, navigation, language localization, and analytics & BI solutions.

Start-Up (NDA)

I worked for about 2 years as a Data Scientist at a gaming startup, leading the DS team for half a year. Responsibilities included cross-team and VP-level communication, strategy and operational planning, Scrum, and more. Created 5+ baseline algorithms from scratch and deployed and supported them. Created a Data Analytics system based on Segment, Redshift, Tableau, Mixpanel, etc., and helped create a DA team. Also worked temporarily as a Data Engineer, handling tasks such as data quality, queries for analytics, and AWS support.

Newfire Global Partners

As a data scientist at Newfire Global Partners for 3 years, I worked on projects in healthcare, fintech, business intelligence, and HR & Recruitment. Notable achievements include building an anomalies/outliers detection model and automatic data quality reporting for clinic data, developing a model for user categorization using NLP, deploying over 5 models for automating report processing/OCR, and creating over 10 dashboards for a medical insurance project. Additionally, I developed analytical tools from scratch to meet market needs in the HR & Recruitment project.

IT Education Academy (ITEA)

At ITEA, I authored and taught the "Data Science/Machine Learning Fundamentals" course, guiding 3 groups of students to develop their first data science projects using Tableau and MS Azure Machine Learning. As a lecturer, it was a great experience to contribute to ITEA's mission of training professional IT practitioners.
I am looking for interesting projects and potential long-term cooperation
Position: Data Scientist / Machine Leaning Engineer
Category: Data Science
Experience: 1 years | English: fluent


During my experience at General Assembly, I have learned an extensive range of skills including programming, analytics tools (scikit-learn, Pandas, NumPy, NLTK, Statsmodels), data mining, machine learning (Supervised, Unsupervised, TensorFlow, Keras), data processing, and data visualization (Tableau). As a Data Scientist, I was required to have excellent communication skills, an understanding of algorithms, and knowledge of Python, R, and SQL. During my tenure at General Assembly, I applied these skills daily and performed them exceptionally.
Position: Data Scientist/Machine Leaning Engineer
Category: Data Science
Experience: 4 years | English: fluent

in my career as a data scientist and machine learning engineer, I've accomplish some thing which include:
1. I am currently the Lead for Campus Data Sciene Nigeria at Federal University Lokoja
2. I was able to qualify for the DSN BootCamp in 2021
Hello everyone! I'm an AI Engineer with over three years of experience developing cutting-edge AI solutions. During this time, I've gained extensive knowledge of Machine Learning architectures, libraries, and frameworks. In a nutshell: - 3+ years of experience in AI Engineering - implemented ML algorithms for business - worked on Deep Learning & Computer Vision & Data Science research projects - worked with data: exploration, preparation, and pipeline building - deployed models to production - have a solid mathematical background - always improve understanding in state-of-the-art AI techniques, as well as advanced technologies and methods of advancement, - architectural style, adhere to best strategies to build scalable and advanced products Domains include: computer vision, natural language processing, data science, and reinforcement learning. - Programming languages and frameworks for generative AI
As a former data scientist on Fiverr, I help people to prepare data and train an effective and accurate model. I also work as a volunteer tutor at Data Science Nigeria 
 I've worked on numerous projects some of them are: 
1. Parkinson's disease detection which is focused on detecting Parkinson's disease in humans at an early stage, a machine learning model was developed with an accuracy of 98%, and overfitting and underfitting were avoided. 
2. C02 emission detection: To contribute to the community in the fight to reduce carbon (CO2). I trained and deployed a model which is capable of predicting the amount of carbon dioxide a vehicle is likely to emit to the environment base on some given features.
3. Image Recognition System: This project aims at building an image face recognition system using the cifar-10 data. I built and deployed a CNN model with an accuracy of 97% to recognize images outside the ones from the dataset (cifar-10)
I've also completed numerous capson projects on Coursera, Udacity, e.t.c which I gain more industrial experience after completion.
Position: Data scientist / Machine learning
Category: Data Science
Experience: 1 years | English: upper

Right now I'm styding at the Karazin National University and completing different courses on Data Sciene (mainly coursera). Have around a year of experience in the field. I've read a lot of research papers in the Machine Learning and Neural networks. My friends and I are currently working on our small project that involves sentiment analysis. 
Here are also some things I've been working on at my previous workplace:
 • Collected and analysed data about companies and their partners and customers, visualized it
 • Worked on the distributed cloaking detection system for websites using neural networks
 • Collected and analysed twits on different topics
Python (Tenthorflow, Pandas, scikit-learn, NLTK), Ruby, Ruby on Rails, ElasticSearch, MySQL, Docker, a bit of Java, C, Bash
I want to develop my skills as a data scientist / machine learing expert working on real tasks, solve interesting problems and meet new people. I'm still styding at a university so a flexible schedule would be a huge plus.
Position: Data scientist, Machine learning
Category: Data Science
Experience: 6 years | English: pre

Winner of the INT20H Hackathon in Machine Learning category. One of the main challenges on the competition was Spam Detector which i decided to solve.

Second place on AI Spring Hackathon. Face Detection in real time was problem which i solved. The main difficulty in this task was implementation of this model on CPU.

Winner of Data Scientarium Hackathon 2017 hosted by AI Booster
- Knowledge of programming languages: R, Python(numpy, pandas, scikit-learn, tensorflow, keras, flask, nltk) , C++, С#
- Experience of working with difference databases, Microsoft Azure, AWS
-  Excellent knowledge of theory of probability, statistics
and ML algorithms
-  Strong understanding Deep Learning methods 
- Good communication and presentation skills
Position: Data Scientist | Machine Learning
Category: Data Science
Experience: 4 years | English: upper

For the past 2 years, we have helped brands increase brand awareness, and sales by 30% because we understand the psychology of not just making analysis or creatinge models, but we tell a data story.
Hi,

My name is Precious, a passionate Data Scientist who has effectively analysed relevant real-world problems.

Here is my professional portfolio, showing exactly how I solved real-world problems using TextBlob, Scikit-Learn, NLTK and more.

I am looking for a remote job that will fit into my field of speciality. 

I am certain, I can support the marketing, engineering, customer service and executive teams with an up-to-date report and high-level dashboard. Help decision makers using data to gain unfair advantage of the market space. 

This will mean the world to me as I am proficient in this field, and I won't disappoint you.
Nothing is more important than meeting your expectation(s). Data speaks, let's give your data a voice
Position: Data Scientist, Machine Learning & AI Engineer
Category: Data Science
Experience: 2.5 years | English: fluent


Machine Learning Engineer | Data Scientist

Overview:
As an accomplished Machine Learning Engineer and Data Scientist, I have a strong track record of delivering cutting-edge solutions to complex real-world problems. With almost 3 years experience in the field of building AI & ML powered products and services, I am well-versed in various machine learning algorithms, data analysis, and predictive modeling. I thrive in interdisciplinary teams and have a passion for translating data-driven insights into actionable business strategies.

Work Experience:

1. Machine Learning Engineer | BreezeLearn | Calgary, Canada.

- Spearheaded end-to-end development of a customer churn prediction model for a leading telecom company, resulting in a 25% reduction in churn rate and saving $5k annually.
- Leveraged natural language processing (NLP) techniques to build a sentiment analysis tool that provided valuable insights into customer feedback, leading to a 15% increase in customer satisfaction.
- Collaborated with cross-functional teams to design and implement a chatbot recommendation system for an e-commerce platform, boosting click-through rates by 20% and driving $1 million in additional revenue.

Technologies used: Python, scikit-learn, TensorFlow, Keras, pandas, NumPy, Matplotlib, NLTK, spaCy, Jupyter Notebook.

2. Machine Learning Research Scientist | SisonkeBioTik Research | Johannesburg, South Africa

- Researched and developed state-of-the-art deep learning models for image recognition, achieving a top-5 accuracy of 92% on the ImageNet dataset.
- Collaborated with researchers to implement reinforcement learning algorithms for autonomous robot navigation, leading to successful real-world testing in complex environments.
- Mentored fellow team members in machine learning best practices and coding standards, resulting in improved team performance and cohesion.

Technologies used: Python, TensorFlow, Keras, PyTorch, OpenCV, Caffe, Git.

Current Role in the Team:

In my current role, I serve as a Machine Learning Expert and Data Scientist, responsible for leading projects from conception to deployment. I collaborate closely with cross-functional teams, including software engineers, data engineers, and domain experts, to identify business challenges and develop scalable solutions. My expertise in machine learning algorithms, statistical analysis, and data visualization enables me to derive ac
Position: Data Scientist, Machine Learning, Data Analyst, Junior Python Developer, Associate Cloud Engineer
Category: Data Science
Experience: 2 years | English: fluent


Recent project: Built a computer vision project using Jupyter notebook and python deep learning libraries Tensorflow and Keras. Read in a dataset of dog images, trained a convolutional neural network to classify the images, and improved model performance.