lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: junior data scientist
Category: Data Science
Experience: 0.5 years | English: upper


Bayer 
Data Analyst 09/2022–-02/2023
-Collecting and organizing data in SQL to usable formats
-Support Statistical Models in Python language
-Analyzing data to find answers to specific questions
-Data visual in Power Bi
-Data Cleaning in Python
Caspian Auto-Sales International
International sales manager 01/2021–-09/2022
-Planning and directing the hiring and training of new Sales 
Representatives
-Directing and coordinating all sales activities locally and 
regionally
-Preparing sales budgets and projections and 
approving expenditures
-Tracking and analyzing sales statistics based on key quantitative 
metrics
International sales consultant 06/2020 –-01/2021
-Realize new sales by keeping existing US customer list active 
and attract new ones
-Track customer operations and data in the ERP system of the 
company
Con-sol Group LLC
Finance manager assistant 09/2018 – 06/2020
-Collect and enter data for various finance spreadsheets
-Help to oversee and manage individual accounts
-Perform routine calculations to produce judgmental analysis and 
reports as requested by finance manager
Import specialist 09/2018 – 11.2019
- To source globally and insourcing prospective vendors on 
project items
-Plan and implement all import and transportation strategies,
-Nurtures relationships with suppliers and freight forwarders to 
negotiate not only for the best prices for the company

Sales team lead 12/2017 – 09.2018
-Focusing on improving job performance documenting and 
analyzing after-sales data
-Assign tasks to the team consisting of five members
-Allocating resources available for sale and monitoring overall 
customer value chain
Position: junior data scientist
Category: Python
Experience: 3 years | English: upper


Hi, I am Tanya and I want to change my current stack and become a data scientist. I have commercial experience in development, a bachelor degree, English - upper-intermediate level and I have huge willing to grow up in the data science field.
Position: junior data scientist
Category: Data Science
Experience: 0 years | English: pre


I took a course data science/maсhine learning at dataroot university. performed various classification and regression tasks. Сompleted two deep learning projects:
1. Distracted Driver Detection - a model who receives an image from the camera in front of the driver and classify each driver's behavior (are they driving attentively, wearing their seatbelt, or taking a selfie with their friends in the backseat) in keras.
2. Real or Not? NLP with Disaster Tweets - Predict which Tweets are about real disasters and which are not. Used pytorch, bert.
Tools: numpy, pandas, keras, pytorch, torchtext.
Position: junior data scientist
Category: Data Science
Experience: 0.5 years | English: upper

Although I don't have relevant commercial experience in Data science, I've completed many courses, tutorials and a few Kaggle competitions and I'm always open to learning new things.
Logika school
Python Teacher
02.2020-09.2020
Taught basic Python, such as writing functions, OOP, Turtle graphics etc.

BeeWise
AI Trainer
01.2021-04.2021
Took part in supervised machine learning project. My job was to annotate pictures for neural network's training.

NAQA
Expert in the accreditation of educational programs
07.2021-now
Position: junior data scientist
Category: Python
Experience: 0 years | English: upper

IDAO finalist #20
Solved a couple courses.
My code will tell you more about me https://github.com/zuenko
Position: junior data scientist
Category: Data Science
Experience: 0 years | English: upper


•	Quick learner, able to find information from both Russian and English resources
•	Familiar with SQL, R, Octave, MATLAB, Maple, STATISTICA
•	Use Python to prepare Data, familiar with NumPy, scikit learn, pandas
•	Use Octave to implement ML models
•	Fast typing (20 WPM)
•	Use both Windows and Linux for studying, programming and surfing internet.
•	Strong knowledge of school program of Mathematics, also statistics, linear algebra, mathematical analysis
•	Ability to set goals and solve unfamiliar and challenging tasks independently and at the same time - able to listen, share, cooperate and learn together as a team , good communication skills
Looking for Junior Data Scientist position where I can contribute, further develop my skills and help you to grow your business.  I can’t wait to start working with real data, ready for internship. I am sure, after a deep dive into your approaches I will be able to suggest new efficient ideas.
Position: junior Data Scientist
Category: Data Science
Experience: 1 years | English: intermediate


1. Two years of labs in university, using C and MatLab . Coding signal processing and calculus algoritgms.
2. Upwork: C, - 1.5month. Simple tasks.I have gained experience in communication in english with customer.
3. Globalfreelane C/C++, MatLab,- 3 month. Help with educational tasks. I have gained experience in communication in english with mediator and customer, via e-mail.
Position: junior Data Scientist
Category: Python
Experience: 0 years | English: upper


Thesis - Big Data analysis of Floating Car Data to identify traffic congestion in urban areas / Politecnico di Torino (JANUARY 2022 - OCTOBER 2022)
Using data-driven methodologies, integration of Big Data over Floating Car Data (FCD) acquired from real users to analyze and identify traffic congestion in metropolitan areas. Preprocessing a large number of FCD data as input, then investigating the data's behavior to extract the needs of the traffic congestion computation, and finally visualizing and statistically analyzing the findings.
IoT Driver Awareness Detection Alert system / Politecnico di Torino (SEPTEMBER 2021 – JANUARY 2022)
Development of a system with microservice architecture that reports the potential drowsiness of the driver to a friend or family member through a telegram bot. All the data and configurations are fetched and transferred using REST APIs.

Smart Greenhouse project/ Politecnico di Torino (OCTOBER 2020 – JUNE 2021)
An interdisciplinary project aims at providing crops status for the farmer as well as some automatic control functions for irrigation, using IoT devices from Libelium Company. Development of sensing devices using C++ as well as pre-processing algorithm for outlier removal and management using Python then deployment on a Linux web-server as a service.
Position: Junior data scientist
Category: Data Science
Experience: 0.5 years | English: basic

I have good skills in analytics, it is an easy task for me to program complex formulas of mathematics and physics, as well as to calculate and visualize data, get useful information or process it. I try to follow the news and features in the field of data science in my spare time and practice for a deeper understanding and continuous development of myself as a beginner) I have already tried to develop an algorithm for predicting the life of a nanoelectronic element and visualize statistical calculations of this element.
Analytics and numbers)
)
Position: Junior data scientist
Category: Data Science
Experience: 0 years | English: upper


House Price prediction: 
Based on number of rooms, floor, city,district, area, geo-coordinates, description and etc. estimate the price of apartments. EDA, data cleaning, outlier removal, feature engineering, text classification regression(XGBoost) techniques were used during the work on this project.
Sales prediciton: 
Based on country, store, goods type, day of the week, holidays determine book sales
Article Classification: based on article text determione its genre(political, economical, sports, cultural articals and so on)
Position: Junior data scientist
Category: Data Science
Experience: 1 years | English: fluent

- Successfully automized working processes that involved pulling the data and getting summary from it
- Built a model for predicting customer churn
- Automized data processing
- Proposed an algorithm for computer-based depression detection based on text
- Wrote a code for the system of decision support
My projects:
- Churn prediction of telecom company users using linear models and neural network
- Image classificator built on CNN
- Object detection using Tensorflow Object Detection API
- Telegram bot with message translation function
- Fake news detection system built on RNN with LSTM
- Depression detection system used for analysing tweets
- Flask app for retrieving and updating information built on SQLAlchemy database.
I don't want to be involved in gambling sphere. I'm also not interested in QA position.
Position: Junior data scientist
Category: Other
Experience: 0.5 years | English: pre

completed yandex machine learning and data analysis specialisation on coursera
Python, Machine Learning, SQL, C/C++
Professional growth, interesting predictive analysis/NLP/CV projects
Position: Junior data scientist
Category: Data Science
Experience: 2 years | English: upper

Have 2 years experience of data science and backend development. Experienced at creating data regression models, using predictive data modeling to implement good solutions for complex business problems. Have experience with a lot of popular technologies.  Proficient knowledge in statistics, mathematics and analytics. Also have good communication and analytical skills.
RECENT EXPERIENCE

FREELANCE DATA SCIENTIST
Different projects for data classification, image processing and data visualization, that were performed using Python, TensorFlow, Keras, Sklearn and Matplotlib.

EDUCATIONAL SOCIAL NETWORK FOR STUDENTS
The whole project includes admin panel and backend. This social network connects people which study in one school. They can share photos between friends, join groups by interests, publish study works, buy courses and take them. Also, teachers can put grades for children in online mode. Admin panel includes statistics about application usage, large amount of information about people and groups. We used Flask and MySQL database.
I left the project because of lost interest for web development and desided to learn new things.
Position: Junior / Data scientist
Category: Data Science
Experience: 1.5 years | English: fluent

* Skill tracks SQL Fundamentals, Python Engineering, and additional 15 courses successfully finished on Data Camp.
-> Twitter Sentiment Classifier. I did a project for my NLP class about COVID-19 Tweets Sentiment Analysis in Python to detect what kind of emotion it represents. For this project, I've used NumPy, pandas, and seaborn for EDA; NLTK, Vader, Text Blob libraries for NLP; ML algorithms from the scikit-learn library for building my own classifier.

-> Recurrence Quantification Analysis Classifier on human activities in Python. Same technologies for EDA as in the previous project; PyRQA for RQA and RPs; and scikit-learn library for comparison of different ML algorithms.

-> I have work experience in IT companies but previously I was working as Sales / Account Manager, therefore I'm aware of the workflow of most projects.
Gain practical knowledge in turning big queries of data into insightful maps. Assist in performing distributed computing and predictive modeling. Collect, process, and perform statistical data analyses. Develop models through story-telling and visualization
Position: Junior Data scientist
Category: Business Analyst
Experience: 0 years | English: intermediate

Participation in Kaggle.com competitions. 
Attended data mining and machine learning related courses. (Coursera, mail.ru, etc.)
- Basic understanding of Machine Learning concepts;
- Experience with regression and Machine Learning models for classification and prediction + their evaluation;
- Data exploration such as data modeling, data visualization and data analysis;
- Data Mining tools such as WEKA and RapidMiner;
- R language basics;
- SQL + experience of relational database modeling;
- Some basic experience with Big Data technologies, such as Hadoop (set up a single node cluster and played around with it);
- Agile Software Development Methodology, Waterfall Methodology, Spiral Methodology, Rapid
Application Development Methodology; 
- UML, IDEF, BPMN graphical modeling;
- MODAF, DoDAF architecture frameworks;
- CASE Tools (Magic Draw, Enterpris
I expect to gain experience with real projects, become team player and improve my data analysis skills which will be strong background of growing up my career in this area.
Position: Junior Data scientist
Category: Data Science
Experience: 0 years | English: intermediate

created his own projects, mastered new technologies in areas of interest to him, received a good mathematical background
I solved the main problems of computer vision (object detection, segmentation, classification), machine learning (regression, classification, clustering).
Create your own psychologist robot that uses chatgpt 3.5
Position: Junior Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper

Completed Data Science Program at Epam University
Obtained a Deep learning certificate on Coursera
1) Python developer (FastAPI):
- develop and maintain service to store and represent users' sleep data that comes form several wearable devices; 
- expand functionality of a ECG decoding service and maintain it.

2) Took part in data science competitions on kaggle and Zindi platforms : 
- churn prediction (boosting trees);
- LTV regression (linear models, trees and neural networks);
- ship segmentation (U-net and segmentation_models).

3) Educational projects :
- clasterization (DBSCAN, K-means, AgglomerativeClustering);
- outlier detection (Isolation Forest, One-Class SVM);
- time-series (basic ml + ARIMA family);
- computer vision (CNN + Transfer Learning);
- object detection (YOLO model).
I'm searching for my first job or intership in Data Science. 
I'd like to try to implement my knowledges and skills on a real project.
Position: Junior Data Scientist
Category: Data Science
Experience: 1 years | English: fluent

Education:
- BSc in Computer Science, Educational-scientific complex IASA (“Institute for applied system analysis”), National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv, Ukraine

Certificates:
- “Data Science Fundamentals”, DataRoot Labs, online
- “Python Advanced” course, Hillel IT school, Kyiv, Ukraine
- “Introduction Python” course, Hillel IT school, Kyiv, Ukraine

Languages:
- C1 English (IELTS 7.5)
- B1 German
- 2+ years Full Stack Developer at “Eurostandart” (Ukrainian-German company specialized in professional kitchen equipment). My main responsibilities were creating two big web projects, developing front and back-end architecture.

- Ad Evaluator at “Appen Limited”. I have gained experience in analyzing various advertisements on social networking websites and providing constructive reports in English.
Position: Junior Data Scientist
Category: Python
Experience: 1 years | English: upper


As a Junior Data Scientist with a passion for technology and innovation, I bring experience in data scraping, parsing, and web application development to the table. With a track record of consistently delivering quality work on-time, I am driven by a desire to achieve success and help my team meet their goals. My portfolio showcases a range of pet projects, both commercial and open-source, that highlight my passion for working with data. Whether it's aggregating, storing, or processing information, I am driven to explore its potential and push my boundaries. Through my pet projects, I have honed my skills in parsing, web API interactions, REST-ful web app development, dockerization, and deployment
With a keen eye for detail and a willingness to learn and adapt, I am confident in my ability to take on new challenges and make valuable contributions to any project. If you are looking for a skilled and ambitious person to join your team, I would love to hear from you.
Position: Junior Data Scientist
Category: Data Science
Experience: 0 years | English: fluent


Before switching career course towards Data science I was involved in private and government projects regarding 1C Accounting, HR and Payroll and other extensions as developer.

After switching I worked in Azerbaijan Deposit Insurance Fund as Business Analyst where did data explore, preparation, analysis and visualization, beside it also performing requirement analysis, preparing technical tasks, building business models according to BPM 2.0 rules and developing solutions to various tasks.
My expectations is improvement in Data Science and Machine learning to professional level and to be good at it.
Position: Junior Data Scientist
Category: Data Science
Experience: 0 years | English: upper

After completing some Data Science courses (all links are in my LinkedIn) i started making a project about an influence of Elon Musk's tweets on cryptocurrencies.
Completed a variety of courses for supervised and unsupervised learning which includes fundamentals like bias-variance trade-off, regularization, cross-validation, hyperparameters tuning, optimization techniques (like gradient descent, coordinate descent, stochastic gradient, expectation maximization) and popular ML algorithms.
Also for statistics, it includes understanding of concepts like hypothesis testing, p-hacking, sampling techniques, distributions, probability, central limit theorem, confidence intervals and introduction to bayesian approach.

I'd been studying applied mathematics in university for 3 years, which included probability theory, statistics, linear algebra, calculus, computational & optimization algorithms.

Some of the models and concepts i learned:
linear/polynomial/logistic regression, Lasso and Ridge regression, AdaBoost, Knn(Ann), K-means, DBSCAN, GMM, Latent Dirichlet Allocation, SGD and evaluation metrics like F1-score, Rog-auc, inertia, silhouette score, precision-recall, as well as euclidean distance and cosine similarity.
Position: Junior Data Scientist
Category: Data Science
Experience: 1 years | English: intermediate


•Computer Science education- B.Sc. degree
•Java SE, Python (Numpy, Pandas,Sklearn)
•Extensive understanding of the OOP, algorithms, Design Patterns, Machine Learning
•Familiar with the web development (Spring MVC,  XML, Spring Data, Spring Security, Hibernate, Maven, GIT,
 MySQL/Postgress databases, Apache Tomcat)
•HTML/CSS and JavaScript 
•Spoken Languages: English (Advanced), Polish (Intermediate), German(basic), Russian (fluent), Ukrainian (fluent)
Creative, dedicated person seeking a full-time, permanent position with a company that will utilize and further enhance my knowledge of IT, and offer advancement opportunity.
Position: Junior Data Scientist
Category: Data Science
Experience: 0 years | English: intermediate


DATA ANALYST

IdeaBank
2021 - Present
1.Analysis of employees` work
2.Development reports for my department using SQL and MS Office
3.Development logic of the work of employees

Build model for prediction of flat price based on some information like area, type of house, city, etc
Position: Junior Data Scientist
Category: Data Science
Experience: 2.5 years | English: fluent


Data Engineer / Mid-Level Data Scientist – Statistics Team Apr 2022 – Present
• Improved ML model prediction of Active Customers for the next fiscal month with 99% recall and
precision.
• Built automation framework from scratch using Python, Selenium WebDriver and PLSQL to create
and update the Type Allocation Code database in Oracle.
• Developed neural network-based time-series forecasting of Active Customers’ numbers in Python
(TensorFlow).
• Deployed Kafka and Kafka connect infrastructure in Docker to stream new records from Oracle to
ClickHouse database that helps to optimize resources and helps to increase data aggregation speed.


The Openwork Partnership United Kingdom
Data Scientist – Marketing Team Jun 2021 – Oct 2021
• Developed Multi-Output ML models for predicting customers with a high likelihood of purchasing
protection products in different income segments.
• Developed a custom framework to operate multiple models with embedded report creation upon
completion that simplifies further ML applications.
• Developed an in-depth visualization approach accompanied by classification or clustering problems.
Position: Junior Data Scientist
Category: Python
Experience: 0.5 years | English: fluent

- won the all-Ukrainian competition of students projects with an NLP project
- scientific publications in Ukrainian editions
Data Focused Programming Bootсamp (with specialization on NLP) in the Innoxoft company  (May - July 2021): participation in all stages of ML project (data mining, preprocessing, training, deployment).
Position: Junior Data Scientist
Category: Data Science
Experience: 0.5 years | English: fluent


Data Science Intern at QSS Analytics in Baku/Azerbaijan for 3 months. During my time as intern I learned fair amount of  Data Scraping, Data Manipulation, Data Visualization, Data Modeling, Deploying Data driven Web Applications.

Python mentor at Data Science Academy in Baku/Azerbaijan for 3 months. During my Python mentorship I taught Python for Data Science, Machine learning and Deep Learning.

Big Data Mentor at Data Science Academy in Baku/Azerbaijan for 3 months. During my Big Data mentorship I taught Git version control, Docker, Hadoop, PySpark and MongoDB.
Position: Junior Data Scientist
Category: Data Science
Experience: 1 years | English: fluent

Diploma project with real-time object detection using phone camera. Solution runs in 50fps with 0.92 IoU and 0.95 in multiclass crossentropy.
Data Science / Machine Learning / Deep Learning engineer specializing in Computer Vision,
Forecasting, Data generation etc. Experienced with various frameworks such as Tensorflow and Keras.
Have profound knowledge in different Neural Network architectures. Practical experience in building
out-of-the-box solutions. Strong skills in building complex Exploratory Data Analyses. Hands-on
experience with powerful libraries such as numpy, open-cv, PIL, pandas. Mostly worked on computer vision and analytics projects. Have base experience in NLP. Worked with most ML algorithms, UNET, GANs, Diffusion Models etc.
I'm looking for computer vision engineer or data analytics role but I'm not afraid learning some other data science niches I've never worked with
Position: Junior Data Scientist
Category: Data Science
Experience: 0.5 years | English: intermediate

Participated in the creation of labs for a Coursera course on Data Science/Data Analysis with Healthcare datasets.
Data Scientist Content Creator
6 months (March 2023 - Present)

Projects and tasks:
- Created labs for Coursera courses in Data Science / Data Analysis with Healthcare datasets.
- Worked with Python, Pandas, Numpy, Matplotlib, Scikit-Learn, TensorFlow, and others.
- Wrote blog posts and articles on data science topics.
- Presented data science findings to stakeholders.

Technologies: Python, Pandas, Numpy, Matplotlib, Scikit-Learn, TensorFlow, Coursera, GitHub.

Role in the team:
- Worked independently and as part of a team of 5 people to create and deliver data science content.
- Collaborated with stakeholders to understand their needs and deliver content that met their requirements.

Where I want to develop:
- I want to continue to develop my skills in data science and become an expert in the field.
- I am interested in working on more challenging projects that use cutting-edge data science techniques.
I don't want to work in a role where I am:
- Isolated from other data scientists.
- Not given the opportunity to learn and grow.