lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: intermediate


10.2021 – Present 
Junior Operations Manager
- communication with the clients
- collaborating with the team of translators
- defining the documentation structure 

08.2020 – 12.2021 
Research Specialist
- working on 15 projects in teams of 2 to 12 people
- gathering and analyzing the project-specific data e.g. searching the “key”
personas of the companies, discovering the activity of the universities in
the funding field, verifying the funding round information, etc
- structuring the received information
- documenting the research results and conclusions
- improving the working processes
- preparing the information on the venture funding topic for the website blog
- reporting bugs
- collaborating with the developers
I am a first-year master's student majoring in Applied Mathematics at the Institute of Physics and Technology of Igor Sikorsky Kyiv Polytechnic Institute. I study advanced mathematics including the theory of probability and mathematical statistics and basic programming using C++, Python, SQL. Let me prove my skills and dedication to success by productive work as a Junior/Intern/Trainee Data Scientist/Analyst
Position: Data Scientist
Category: Python
Experience: 2 years | English: upper

I know physics and math (analytics, statistics). I made multiparametric research on a non-seismic earthquake prediction project.
10 years - data science in an academic science university (PhD), matlab.
2 years - postdoctoral position, data processing of atmospheric parameters, python.
Data preprocessing and processing, statistical and spectral analyses, analytics.
I'd like to work remotely and with a flexible schedule.
Position: Data Scientist
Category: Data Science
Experience: 11 years | English: upper


10+ years in data science and AI/ML, PhD in computer science. Wide experience in software development and research.
Projects: computer vision and image processing, audio and signal processing, time series analysis and forecasting in fintech, fashion, manufacturing and other domains.
Modelling skills: regression, classification, neural networks, frequency analysis, cluster analysis, anomaly detection, change point detection, time series analysis and forecasting, recommendation systems
Program language: python, R, matlab
Python packages: numpy, scipy, scikit-learn, pandas, matplotlib, opencv-python, librosa, tensorflow, keras, etc.
Position: Data Scientist
Category: SQL
Experience: 11 years | English: upper

1 problem solving oriented
2 communicative
3 experience with international team
4 proffesional
10 years System programmer on z/OS IBM Mainframe at Commerzbank ( big Projects experience as disaster backup or relocation of computer center and also daily changes of HW (HCD) and SW (SMPE)
 
10 years Data Analyst at Risk Reporting and AML Monitoring at Commerzbank 

Since 2019 I am living in Armenia ( I care my parents ) and looking for a remote position.
1.Маленькая команда или большой проект? 
both
2.Аутсорсинг или продукт?
both 
3.Отлаженные процессы или новые технологии?
both
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: intermediate

Kaggle Notebooks Contributor:
- Churn prediction (EDA, Random Forest and Metric methods)
- Vodafone Music prediction (Logistic Regression, SVM, XGBoost)
- Optimization Problems in ML: Gradient Descent Modifications (in progress)
Certificates on Coursera:
- Neural Networks and Deep Learning
- Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
- Convolutional Neural Networks
Certificates on Stepik:
- Introduction to Data Science and Machine Learning 
- Machine Learning algorithms
- Neural Networks and Computer Vision 
- Special Neural Network Architectures
— 1,5 year experience with Python.
— OOP, algorithms and data structures.
— Scikit-learn, Imbalanced-learn, Xgboost, Pandas, Numpy.
— SQL, Git, Docker.
— Knowledge of ML algorithms.
— Statistics, probability theory, linear algebra.
— Non-commercial experience in EDA, solving regression, classification and Computer Vision tasks on kaggle competitions, online cources and university course.
— Knowledge of DL basics and NN architectures. Non-commercial experience in Computer Vision tasks.
Looking for new experience, new people and new ideas to do)
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: upper


1.5 years of experience working on NLP related projects. Hands on skills of similarity search tools: faiss, annoy; NLP tools: spaCy, Transformers, dependency parsing etc.

Strong maths skills and ability to find non-trivial solutions.

Looking for an interesting job which would allow me to apply and further develop my skills.
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: intermediate

Winner of Innocentive Challenges
1. Analysis data and forecast in fintech.
2. Computer vision for object recognition. 
3. Forecast of time series data.
4. Development of model for recommendation system.
I am applying for a job in data mining, data prediction, recommendation system, image recognition with fixed prices for companies.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper


1. Associate Software Engineer
Financial reporting.
Responsibilities:
- Continuous interaction with the Quality Assurance, Business Analytics teams, and Product Management to design, build, and test systems.
- Working with multiple teams and clients through Jira.
- Development of financial software to facilitate treasury operations.
- Designing, planning, and overseeing major new enhancements to existing systems.
- Development enhancements, fixes, and tests.
- Designs and codes review.
- Analysis of defects and coordination of the development of fixes.
Managers approved the initiative to develop additional software to automate the workflow. At the moment I am engaged in the development of this software.
2. Data Scientist
The freelance project is oriented on US Health insurance.
Responsibilities:
- Analysis and visualization of dataset.
- Determination of an approach based on analysis results.
- Maintainance of NLP libraries and tools.
- Preprocessing of text data for NLP use.
- Development and evaluation of NLP systems for various applications.
- Improvement of NLP model performance as required.
-  NLP research.
Working with numpy, pandas, matplotlib, seaborn, re, nltk, spacy, negspacy, medspacy, sklearn, top2vec, gensim, transformers.
3. Machine Learning Engineer, co-creator
I am the co-creator of this startup, working as a machine learning engineer. The project is to provide retail stores with a system for detecting shoplifters.
A group of enterprising students decided to organize a team to create something new and unique in the market. From the very beginning, I was involved in the development of the system from the machine learning side. I conducted an in-depth analysis of the task; found a suitable dataset, preprocessed it to a suitable form; found, built, trained, and tested the model, which showed a high result.
4. Junior Data Analyst
The project is a video streaming platform for VR.
Responsibilities:
 1) Data processing:
 - getting data from the database using SQL (PostgreSQL, MongoDB);
 - data analysis, data converting into the format required for further work (Python).
 2) Data visualization:
 - creating scatter plots, bar charts, line charts, pie charts, maps, and tree maps (Tableau);
 - creating any kind of tables (Tableau).
 3) Searching and eliminating defects in the database.
 4) Creating dashboards and reports in Tableau (actualization, optimization, upgrade).
 5) Supplying up-to-date information on required issues.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper


1) Development of the platform for ML flow automation (2022-2023):
- conducting research to identify the most effective solutions to the whole spectrum of ML tasks (feature engineering, NN architectures selection, etc.);
- implementing the solutions found in the project code;
- working closely on NLP tasks such as classification, NER, sentiment analysis, and topic modelling (tensorflow, huggingface);
- prompt engineering experience: creating prototype products based on ChatGPT (openAI API, langchain).

2) Intelligent Document Processing (2021-2022):
- processing different types of documents using OCR and CV technologies;
- structure analysis and extraction of meaningful blocks;
- smart classification.

3) Social media monitoring researches (2019-2021):
- a full cycle of preparing a social media monitoring report, which includes writing a code for receiving data, spam cleaning, sentiment analysis, posts/users clustering, and general analytics of results;
- develop dashboards for real-time data monitoring and analysis;
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: upper


1. Middle data scientist (June 2020 - Apr 2023)
SSA Group 
Full cycle of modeling sales data by random forest and XGBoost using SQL and R, including:
- extracting data using SQL;
- data analysis (missing values, general trends, structure of market);
- building a model in R (random forest/ XGBoost);
- model analysis and feature selection (whether they are correlated, whether they are insignificant, etc.);
- evaluation of different models and selection of the best one;
- use and support the chosen model, and its periodic reassessment to understand whether it is necessary
to retrain the model or build a new one.
2. Junior data scientist (April 2019 – May 2020)
Salv 
Creating SQL queries, search for general patterns in data, detecting money laundering using R.
3. Teaching assistant in R course (September 2019 – January 2020)
University of Tartu 
Helping students with R during seminars, checking homework and exams.
4. Statistical Operations Delivery Analyst (February 2018 – July 2018)
Nielsen Ukraine 
Investigate data inquiries, preparing statistical analysis.
5. Analyst (November 2016- June 2017)
Cargo Media AG 
Analyzing users of the social network using SQL and R, survival analysis.
Віддаю перевагу R перед Python.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: fluent

1. Created a system of dynamic analytical reports for various business units (marketing, HR, finance and accounting, support department) and international clients.
2. Salved the trouble of performing routine procedures by simplifying and automating a set of tasks.
3.Organized a team and successfully led the project by acting as a business analyst and project manager.
1.	ML Models creating using Python and R (time series prediction, clustering)
2.	Machine learning methods implementing for clients` problems solution 
3.	Designing, building and deploying BI solutions
4.	Evaluating and improving existing BI systems
5.	Creating visualizations and reports for international industrial projects
6.	Developing data structure for new reports and fixing existing one when deficiencies are discovered 
7.	Supporting ETL & reporting platforms 
8.	Creating and managing streaming analytics jobs
9.	Maintaining SQL Server databases 
10.	Collaborating and participating in Agile project team
The main preference is working in dynamic environment with a tight-knit group of active professionals. The size of the project is not impormant. What does really matter is clear goals and responsibilties.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: upper

Bachelor's degree in Automation and Computer-Integrated Technologies
Winner of many hackathons. Some products with my development are already used by people in Germany/Czech Republic)
1. Post generation for Postoplan.com by GPT-3 . Facebook parsing and automatic fine tuning of the model on the parsed data were used. Transferring texts to the site using API on FastAPI.
2. My development for the company edgeal - Edgeal.com. Calculation of sentiment analysis and output of a rating on it for 250+ tickers ($BTC, $SOL, $ETH). The -FastText model for NLP was used. To collect data about tickers from Twitter I used twint library .
3. Development of a vision system for a smart fridge. Goal: Recognizing clutter/garbage on a shelf. The VGG16 model and OpenCV tools were used.
4. Development of a system for detecting a person's gaze from a Webcam. A dot was drawn on the screen where the person was looking - DLib
5. Development of a system for predicting the number of ordered dishes in a restaurant - Amazon Forecast.
6. Many other pet-projects
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper


1) Project related to prediction stage of cirrhosis
2) Project related to prediction churn of users in educational platform
3) Freelance on StudentHelp.com.ua. From 05.01.2020 – 01.06.2021
Helped students to solve their difficult tasks in university.
Specialization in: programming, calculus, linear algebra,
differential equations and discrete mathematics. There are
already more than 150 successfully completed orders.
4) Private Math tutor 01.10.2019 - 01.07.2020:
Tutored 5 students per week in private sessions by
providing detailed lesson plans, assessing students
progress and communicating with teachers, students and
parents about outcomes.
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper


1. Python Backend developer:* Developed and maintained backend functionalities using Flask framework.
* Implemented RESTful APIs to communicate with front-end applications and external services.* Assisted in database design and optimization, including creating schemas and writing efficient queries using SQL.
2. Student-researcher:
* Working with electrophysiological methods.* Quantitative and statistical analysis of the biological data.
* Writing scientific papers.
3. Mathematics tutor:* Providing one-on-one lessons to students in algebra, geometry, trigonometry, and calculus.
* Preparing individual plans and study materials for classes.* Providing students with positive and constructive feedback.
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: fluent

MA in Cybernetics (Math and Programming)
MA in Economics and Econometrics 
PhD Business and Management (at final stage)
1) Research assistant (Czech Republic)
Assisting in research project for international mobile operator (SQL, R).

2) Researcher/Tester (Lithuania)
Checked the functionality of new statistical package for possible errors. Replicated each function in R. Checked theoretical part and reviewed of published academic papers.

3) Lecturer/Module organizer (Lithuania)
Developed and delivered Econometrics (MA) course during 1 semester. Applied R and Monte Carlo simulation to show graphically how different regression model assumptions affect coefficients distribution.

4)PhD Business and Management (United Kingdom)
Working on my PhD thesis applying Natural Language Processing and wide regression analysis methodology.
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: intermediate

To date, I consider my main achievement to be my PhD in applied physics. This is a 5 year project, if you don't include the education that provided the foundation for it. It was a work with a large amount of literature, which was constantly updated. This is collection, processing, data analysis and visualization, presentation of results. Very often it was necessary to combine conducting experiments with writing articles and reports at international conferences. But despite this, I still tried to find opportunities for additional learning - I participated in summer schools and laboratory courses in Europe.
1. Space X  Falcon 9 First Stage Landing Prediction
This project is a part of my final project for the data science course from IBM and Coursera. In this project, it was predicted if the Falcon 9 first stage will land successfully based on previous launches data.  This information can be used if an alternate company wants to bid against SpaceX for a rocket launch. 
The main tasks:
- Collecting the Data from an API
- Data Wrangling
- Exploratory Data Analysis (EDA)
- Exploring and Preparing Data
- Machine Learning Prediction
Libraries: requests, pandas, numpy, datetime, matplotlib, seaborn, sklearn.

2.Diabets Dataset Analysis
This dataset is originally from the National Institute of Diabetes and Digestive and Kidney Diseases. The objective is to predict based on diagnostic measurements whether a patient has diabetes.
Libraries: pandas, numpy,  matplotlib, seaborn, sklearn.

3. French bakery daily sales
The dataset provides the daily transaction details of customers from 2021-01-01 to 2022-09-30. Objective: Forecast the sales in order to ease the production planning.
Libraries: pandas, numpy,  matplotlib, seaborn, scipy.optimize, datetime.
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: upper

Nobel hackathon 2019 - second place.
1) Tender`s success prediction (Prozzoro): mostly domain analysis, feature engineering and transparent algorithms such as decision trees. Role: team lead.
2) Parking app for UNIT city which shows available parking spots to user. Solution based on car detector applied to images from security cameras. Pipeline was created from scratch. Role: team lead.
3) Novel video-editing approach: it is more like academic project because the goal was to reproduce the paper. Description: assuming we have a talking-head video (which is framed to focus on the face and upper body of a speaking) and accurate transcript of speech our task was to edit the video given only new transcript (which may include even previously unspoken words). More details in the paper: 1906.01524 on arxiv
4) Semantic segmentation with unbalanced data for automating robot`s tasks: training CNNs, creating end2end pipelines, delivering and communication with customer - main tasks i was responsible for.
1) I`m looking for strong tech lead to learn from. 
2) Big plus for me is having time for learning (i.e one day of week is learning day) or opportunities to discover new technologies.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper


1.Worked with Computer Vision neural networks based on Pytorch;
2.Worked with tabular data based models with Scikit-learn;
3.Conducted image preprocessing and image EDA;
4.Developed convolutional networks with my own architecture;
5.Trained the image classification model based on CNN, with self-collected data set.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: upper


1+ year in ML/AI:
Style aware furniture recommender engine, shaped using deep learning.
Sports video image segmentation.
Responsible for data preparation, model training, optimal params search, evaluation results.
I'm looking for a long-term position that offers challenging problems to work on in an informal and friendly atmosphere. Ideally, I'd like to work in a team of professionals who are passionate about what they do and are committed to delivering high-quality results.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: intermediate


1 year of commercial experience in data science and 3+ years of python programming:
- Worked as a key developer engaged in the configuration of neural networks
- Refactored and restructured procedural code into object-oriented code
- Visualized system and user data for analysis on the Django side 
- Developed and implemented a system for automatic selection of neural network parameters

Projects:
- Recognition of Ukrainian-language named entities
- Abstractive Text Summarisation for Ukrainian-language texts
- Determining the face value and year of a coin from its photo
- Clustering of Ukrainian-language terms (Chaotic Neural Network)
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: upper

— Data Science Fundamentals Certificate from DataRoot Labs (score 92 / 100)
— TensorFlow Developer Certificate from DeepLearning.AI (score 100 / 100)
1 year of experience as a Data Scientist
5+ years of experience at research positions

I am a Data Scientist with a strong research background. My past  experiences include jobs in Chemistry and Environmental Science.

In my current role as a Data Scientist I:
— develop proofs of concept for the customer data analysis automation (including statistical and machine learning algorithms);
— collaborate with Software Engineers to get the abovementioned algorithms implemented in the platform prototype;
— contribute to the development of the tools for hypothesis testing, cluster analysis, network analysis etc.

I am truly passionate about working with data, possess solid knowledge of machine learning / deep learning algorithms, and easily explore large datasets. Last but not the least, I am a highly curious professional and am always willing to expand my competence.
Looking for challenges in Data Science / Machine Learning
Gambling and any projects related to Russia — absolute no
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: upper

– IASA Data Science champ 3rd place (led team of 4 data scientists), 2022
– Summer student at Tandon School of Engineering, New York University, Machine Learning Programme, 2022
1+ years in Data Science & ML/AI
– Languages: Python, R, Java, DDL
– Python (NumPy, SciPy, pandas, scikit-learn, XGBoost)
– Machine Learning: Supervised, Unsupervised, Bayesian Inference, Time-Series, Boosting, Bagging
– Deep Learning (Tensorflow, Keras)
– NLP (spaCy, Word2Vec, BERT, T5)
– Prompt engineering (OpenAI, GPT, LangChain)
– CV (CNN, AlexNet, U-Net, ResNet, EfficientNet)
– Signal Processing (DFT, DCT, FFT, TFT)
– Visualization (Matplotlib, Seaborn, PlotLy)
– Dashboards (Tableau, Streamlit)
– RDBMS (PostgreSQL, MySQL)
– NoSQL (Cassandra, MongoDB, Redis)
– BigData (Kafka, Spark)
– SWE: OOP, Git, Microsoft Azure, AWS S3, Firebase, GCP, Docker, Flask, FastAPI, Postman, Heroku
Flexible work schedule and possibility to work either remote or in Lviv. Preferably NLP / Prompt engineering projects.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: upper


2017 - 2021 BSC, Software engineering
2021 - 2022 MSC, Software engineering
Data mining, data preprocessing, researching, and building pipelines for text classification and question answering. Training models from scratch and their quality/performance review.
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper

Completed Deep learning specialization on Coursera, Data Science course by DataRoot. Pet projects: model for automated essay grading using Hierarchical Neural Network, image colorization model using CNN.
2018-11 – 2019-01 DataPowers, Data Scientist

Worked on two projects: 
- Sporta: UFC events prediction using statistical data and ML algorithms
- AlgoBot: implemented various trading strategies using both technical analisys and reinforcement learning
Motivated student fond of Data Science and Machine Learning with passion for mastering technologies and gaining
professional experience. Skilled at implementing and applying Machine Learning to broad range of tasks. Seeking to
jumpstart my career and enhance my educational and professional skills.
Position: Data Scientist
Category: Python
Experience: 0.5 years | English: upper

Implementation Faster RCNN model in Tensorflow. Deep Learning Specialization on Coursera
2018 Internship at Jooble 

During internship teammate and I have developed job search engine, similiar to Jooble use. My main responsibilities were to classify job vacancies, to detect not job vacancies and deploy that models. 

Tech stack: Python(Tensorflow, Keras, NumPy, Pandas)