Kyiv · $500 · Less than a year of experience · Intermediate
- Experience with Python (Pandas, Numpy, Scikit-learn, Scipy, Seaborn, Matplotlib) - Math (statistics, the theory of probability, linear algebra) - Machine Learning algorithms (Decision trees, Naive Bayes Classifier, Random forest, SVM, KNN, PCA, K-means, neural networks, regression, clustering etc) - Deep Learning(CNN, RNN, TensorFlow, Keras, CNN, RNN) - Experience with version control systems (Git) - MySQL, PostgreSQL - Docker
PyQT5, Python, Machine Learning, Math, Tableau, Deep Learning, NLP, PostgreSQL
Internship Student - DataRoot University • Kyiv 2017-10 - 2018-04 Intensive Data Science trainee Program where you learn the theory needed for any full-cycle data science project development: - Python for Data Science (math & libs, python practice. tableau) - Machine Learning (supervised learning, unsupervised learning, scikit-learn) - Deep Learning (deep neural networks, computer vision (CNN), sequence models (RNN), keras, tensorflow) - Big Data & Data Storages (data mining algorithms, data storages, visualization tools) To consolidate the covered material, I took part in the Kaggle competition, where according to results I entered in the top 100. Sentiment Analysis of Social Media in Russian • Kiev 2018-10 - 2018-11 The task was to build a multi-headed a model that’s capable of detecting different types of sentiments in Russian VKontakte posts. For this task RuSentiment dataset was used. RuSentiment is currently the largest in its class for Russian, it contains 30,521 posts and wich are divided into 5 classes. To solve this task I use pre-trained vectors for russian language trained on Common Crawl and Wikipedia using fastText. The best performance was RocAUC score of 0.88 in 5-class classification on the test set. It was achieved by a CNN classifier with in-domain FastText embeddings. Technologies used: CNN, RNN, Logistic Regretion, fastText, Tf-idf, Word2vec
Part-time of full time job with flexible working hours. Professional growth. Office near the metro station. Complex tasks. Small team. Ability to work remotely.
Remote work, Ukraine · $8000 · More than 10 years of experience · Advanced/Fluent
13+ years of software engineering experience Interested in: Big Data, high load, distributed systems, stream processing. Primary skills: Spark, Scala, Kafka, Cassandra.
Scala, Java, Apache Spark, Spark, Kafka, Cassandra, Akka, AWS, Redis, Functional programming, Linux, SQL, Java EE
Kyiv · $1000 · Upper Intermediate
Я успешно закончил DataRoot University и на протяжении месяца вместе с командой занимались финальным проектом. Он заключался в построении агрегатора статтей, который выдавал релевантные статьи по ключевым словам. Также пробовал себя на различных наборах данных из Kaggle. В этом году написал успешно защитил бакалаврскую работу связанную компьютерным зрением. Она заключалась в анализе различных существующих алгоритмов масштабирование изображения, построения нейросети которая занималась этой задачей и сравнение качества всех рассмотренных методов. Хочу найти дружных коллектив, который любит сталкиваться с трудностями и решать их. Важен свой личностный рост внутри команды. Хочу реализовывать самые безумные идеи, которые казались нереальными и создавать что-то новое.
Python, Machine Learning, Data Science, SQL, Git, pandas, scikit-learn, numpy, Deep Learning, Math, Jupyter Notebook, Keras, Algorithms, NLP, English, NumPy, Tensorflow, Matplotlib, Pandas, Data Mining, Tableau, computer vision, Natural Language Processing, AI algorithms, PowerBI, Probability, Programming, spacy, Statistcs, Statistical inference, data processing, Image Processing, Matlab, numerical methods, Data Structures, C/C++, Java
Написал объёмную бакалаврскую роботу на тему компьютерного зрения и различных методов масштабирования изображений. Однажды прошел на Coursera направление Deep Learning от Andrew Ng, которое состоит из 5 курсов всего за неделю.
Хочу максимально избавиться от рутинной роботы, чтобы было как можно больше времени на максимальное погружение в конкретные проекты. Очень интересно заниматься машинным обучением. Обожаю язык Python и постоянно нахожу что-то новое. Всегда готов учиться чему-то новому.
Remote work, Ukraine · $500 · Less than a year of experience · Upper Intermediate
I am programming on Python more than a year, know the basis of OOP, had been working with Google services like Google Map API, Python libraries such a numpy, re, also wrote scripts on Python. Last project working with Python was creating an application for character recognition using PCA. I was supposed to develop an effective algorithm (you can see it`s a realization on my Git Hub) using linear algebra methods.
Python, Linux, Git, MySQL, OOP, HTML, CSS, REST API, Algorithms, Linear Algebra, Jira
I`m looking for part-time (better if it will be remote) job to combine studying with work. I'm expecting precise requirements and rules, friendly team, which are in passion of what are doing.
Kyiv, Lviv · $1400 · 2.5 years of experience · Upper Intermediate
2,5 years as C++ developer. I was engaged into computer vision projects and project that required to optimize the server load (I was researching algorithmically efficient ways to do that).
Python, Data Science, Machine Learning, pandas, Math, numpy, Deep Learning, Algorithms, NumPy, PyTorch, Scientific Computing, time series forecastng, Tensorflow, Pandas, scikit-learn, English, Matplotlib, Jupyter Notebook
I am a master student at Ukrainian Catholic University. I am enrolled into Data Science programme and I am currently pursuing my master thesis. At the uni we had many ML/DS related courses, many of which were ended by the project, which was done either in teams or alone. Constant participation in group projects has developed strong team-playing, problem solving and communication skills. On previous place of work I had a project where the task was to track a laser pointer with a camera, which was successfully solved. Furthermore, in one of the courses at UCU students split in teams and participated in a Queen's Innovation Challenge. Particularly our solution to the problem organizers had posed was to detect and prevent potholes on the roads. For detection we used computer vision and I was in charge of creating a model that would be able to classify photos into 2 classes: with a pothole and without one.
Lviv · $650 · Less than a year of experience · Upper Intermediate
I'm currently working as a system analyst with such main responsibilities: - data mining using state-of-the-art methods; - extending company’s data with third-party sources of information when needed; - enhancing data collection procedures to include information that is relevant for building analytic systems; - processing, cleansing, and verifying the integrity of data used for analysis; - doing ad-hoc analysis and presenting results in a clear manner; - visualising results of analysis with PowerBI; - research and develop statistical learning models for data analysis; - implement new statistical or other mathematical methodologies as needed for specific models or analysis.
Python, R , Math, pandas, Data Mining, Algorithms, Power BI, English, numpy, Excel, Machine Learning, SQL, RShiny, NLP, Data Science
Kyiv · $1700 · 1.5 years of experience · Upper Intermediate
I worked as data scientist and performed tasks such as: Time-series analysis of stock price movements: - clustering time series - building prediction models for intraday trading using machine learning algorithms (boosting models, logistic regression, etc.) and deep learning algorithms (LSTM) - training and testing models with Amazon EC2 Feature engineering and selection: - creation of most indicators and oscillators existed in trading - automatic detection of support and resistance levels Visualization: - building OHLC candlestick charts using bokeh Education: masters' degree in applied mathematics. Key technical skills: - programming language: Python - Python's libraries: numpy, pandas, scipy, bokeh, matplotlib, seaborn - machine learning and deep learning: good theoretical knowledge and experience with libraries - lightgbm, xgboost, scikit-learn, keras - databases: PostgreSQL, MySQL - cloud services: AWS - OS: Linux, Windows - Knowledge of probability theory and statistics, optimization methods and linear algebra
Machine Learning, Deep Learning, Python, numpy, Pandas, Keras, Tensorflow, skikit-learn, SciPy, PostgreSQL, MySQL, AWS, Git, Probability Theory & Statistics, Mathematical Analysis, time series forecastng
Professional data science team, established processes, remote-friendly
Remote work, Georgia · $2800 · 2.5 years of experience · Upper Intermediate
Worked on AI models for secret military projects (2017 - Current) Implemented entrance check system based on face recognition (2018) Created end to end real time Text to Speech system on Georgian language (2019)
• Invited to MIT Grand Hack for presenting AI healthcare project (2018) • Presented research on cigarette detector and collector rover robot at IEEE Conference. (2018) • 3rd place at Microsoft Imagine Cup regional finals for extracting cardio waves from old ECG machines and predicting cardio vascular diseases. (2018) • Got into the top 5 teams worldwide that advance to finals at Microsoft AI Guardian, for translating gesture language to text/audio and vice versa. (2019 Trainings • Nano-degree courses in self-driving cars and computer vision by Udacity President Sebastian Thrun (2018) • Computer vision course offered by Georgia Tech. (2018) • Deep Learning course by Geoffrey Hinton (2018)
looking for the company that will help me to improve my skills as MA learning Engineer
Kyiv, Lviv, Vinnitsia · $300 · Less than a year of experience · Intermediate
4 months of work in OMD Media Direction Intelligence as Junior Data Science Analyst. Practical skills in finding the insights in business processes due to econometrics and business metrics. Passion to details and numbers.
R, Data Science, Machine Learning, English, Data Mining, Tableau, Excel, SQL, Math, supervised learning
•Test task to a company where I learnt R as the instrument for Data analytics and Machine Learning •Experience as Junior Data Science Analyst in the sphere of advertisement •Unit Factory. C programming language UnitPool (July 2018 - August 2018)
Small company, Product, New technologies. Opportunity to automate the routine
Lviv · $1700 · 1 year of experience · Upper Intermediate
I have been working on few large enterprise big data projects as a data engineer and right now working in a product company as a data scientist.
Python, Machine Learning, Data Science, Git, SQL, Math, scikit-learn, numpy, Deep Learning, Jupyter Notebook, Linux, NumPy, Pandas, computer vision, Keras, Matplotlib, Tableau, R, PyTorch, Spark, Big Data, Java, AWS, bash