Черкассы, Киев, Львов, Харьков · $600 · 1,5 года опыта · Intermediate
1. In univercity post graduate / lecture 2. GeekHub (datascience) 3. Mathimatic, Statistic
Python, Machine Learning, Data Science, pandas, numpy, Math, Jupyter Notebook, Keras, Matplotlib, Data Analytics, Data Analisys, Data Engineering
Scientific degree in Singal Procession Data Science Math, Statistic Math modeling
DataScience Python Machine Learning Deep Learning Technical Articles writing Analytics Math Signal/Noise Procession
Киев, Львов, Харьков, Одесса, Винница, Днепр · $1000 · 2 года опыта · Pre-Intermediate
I previously worked as a Junior C#/.NET Developer (1 year). I am working as a Junior Data Scientist (2 years). Main responsibilities: data acquisition and processing; data visualization; analysis; feature engineering; data labeling; design, implement and deploy statistical and ML models. ------------------------------------------------------- ML models for the used car market. Time series: - financial time series analysis and forecasting NLP: - text classification Computer Vision: - image classification
Python, Machine Learning, Data Science, Deep Learning, NLP, time series prediction, Linear Algebra, Probability Theory & Statistics, Calculus, SQL, No- SQL, scikit-learn, Keras, TensorFlow, Git, Docker, Linux
- I have finished to the course Machine Learning by Andrew Ng - I have listened the course “CS224n: Natural Language Processing with Deep Learning”
Please do not propose python developer or data engineer positions
Киев, Львов · $4000 · 9 лет опыта · Advanced/Fluent
6 years: python(scikit learn,numpy, scipy, pandas), development of machine learning, statistical and mathematical applications, algorithms of numerical analysis, signal processing 5 years: usage of mathematics, machine learning, statistics for various development tasks 1 year: c++ BSc in physics, MSc in math; MEng in aerospace engineering from a top western school
Computational Fluid Dynamics, Computational Optimization, Machine Learning, Python, Scientific Computing, uncertainty quantification, Aerospace Engineering, ElasticSearch, Mathematics, Numerical Analysis, numerical methods, Topology Optimization, Matlab, Spark, C++, Data Science
social network analysis system to predict chosen parameters of network members, estimate the dynamics of information diffusion in a situation of limited knowledge of the structure of network. methods: log regression, NN, SVM, clustering algorithms, graph algos+custom solutions, Monte Carlo. sports prediction systems nonstandard recommender systems(ideas from math analysis). signal processing+spectroscopy+machine learning cyber threat detection systems. non-standard and customized clustering algos, customized anomaly detection for computer vision.
data science/machine learning, mathematical modeling, aerospace engineering
Львов · $800 · Меньше года опыта · Upper Intermediate
I am a third-year IT and BA student at Ukrainian Catholic University. My technical skills: - Programming languages: Python, Java, C++ - Python technologies: cv2, NumPy, Lark, Pandas, scikit-learn, Keras - Frameworks: Django - Databases: MySQL - Version-control system: Git - Other: Docker, Monit, JIRA, OOP, Algorithms, Economics, Financial Analysis, Econometrics Also, I have been participating in many contests of competitive programming, what as I think makes me think creatively and learn fast.
Python, NumPy, Algorithms, Lark, Regex, Git, OpenCV, OOP, Docker, Linux, Machine Learning
My projects using Python: - Character recognition using PCA ( Recognizes printed letters ); - Stock prediction; - Soccer score prediction; - PLUTO parser ( takes the code of programming language PLUTO and converts it to equivalent Python code); - Reminder bot for Telegram.
I want to find an interesting job where I'll be able to develop my skills.
Львов · $1000 · 1 год опыта · Advanced/Fluent
Half a year experience in Big 4 consulting company as Data Analyst mostly working with data visualization and reporting, statistical analysis, building and deploying supervised machine learning models). Also, I used to work in a product company as a Junior Data Scientist where I built and deployed deep learning models for image classification and object recognition, prepared large datasets for model training, analyzed CRM systems and extracted business insights from this data, analyzed time-series data, made forecasting using ARIMA and related models. Currently, I am working in NLP long term project in US startup. The project involves basic NLP tools like text classification, similarity analysis, cosine distance, bert large models. I'm passionate about learning and love challenging myself with new technologies and problems, so the more difficult a project is, the more likely I'm going to thrive working on it.
Python, Machine Learning, Data Science, Git, Math, pandas, NumPy, scikit-learn, Jupyter Notebook, English, Algorithms, Data Mining, знание основ статистики, computer vision, Statistics, SQL, numpy, Pandas, PyTorch, Deep Learning, Matplotlib, SciPy, R, Jira, Excel, Good communication skills, Mathematical statistics, data cleaning, time series forecastng
Participation in the JustAnswer Data Analysis Winter School. Volunteering in Lviv Data Science Summer school. Participating in E-Governace Tallinn Tech University Summer School with Blockchain specialization.
Flexible schedule, possibility to work from home and passionate team. I would like to work with something challenging and not ordinary. Also, I am eager to work in a company with a good atmosphere, friendly people and challenging tasks.
Киев, Львов · $350 · Intermediate
Опыта работы нет. Был полукоммерческий проект по написанию чат ботов для сообществ Вконтакте. Используемые технологии: Python/Django, MongoDB, redis. Для тестовых заданий изучал различные фреймворки (Django/Pyramid/RoR). Есть базовые навыки в направлении ML/DS, участие в соревнованиях на Kaggle.
Python, Machine Learning, Math, SQL, pandas, scikit-learn
Ищу первую работу для развития своих навыков. Желательно с ментором.
Киев, Львов, Одесса · $3000 · 8 лет опыта · Upper Intermediate
I was involved in writing code that writes code, construction of a huge taxonomy for a specific large-scale project, and jump-starting spin-off. I am "Data Scientist" more, and less "Data Engineer": it means I understand executive talk and always translated.. also, constantly refine algorithms, do meaningful cross-validation, avoid over-fitting like plague, documenting everything, prioritizing, discussing with stakeholders, planning and testing, testing, testing; always stay on track regarding deliverables and deadlines; managing people, hiring the right people, managing managers; and measuring my ROI was my obsession, and always will be. I am the best at algorithms, topological data analysis, knowledge mining, predictive analytics, time series analysis, anomaly detection; transfer learning, rapid learning. State-of-art projects, storytelling, entrepreneurship, expectation management was my strong sides; Also in several projects, I was involved in presenting, pitching, building research teams, mentoring, hiring&leading an international, dense, high-loaded team.
SQL, Linux, Math, Machine Learning, Data Science, Algorithms, Tensorflow, Keras, Deep Learning, AI prototyping, Data Mining, R, Statistics, Tableau, Git, Computer Vision, Data Science in Python
Age 5 - Space Invaders 9,990 high score all high. Time series analysis for EEG [for ASD/ADHD] Lead in an interdisciplinary team [anomaly detection, HTM]. Time series analysis for binary trading [algorithmic trading, GAN/CNN/LSTM] Economic lead at Aerospace Science Lab [knowledge mining, ESA/NASA/JPL]. Oracle Advanced Analytics implementation for the phytosanitary provisions and systems of the European Union (EU) Cross Border Cooperation Programme [oracle, BI]. Engineering experience in ecologic project www.lucidproject.com with BCI/AR/VR underwater photography and virtual reality [engineering, C for microcontrollers]
Would like to be surrounded by professionals who like and care about what they do.
Berlin, Киев, Львов · $5000 · Больше 10 лет опыта · Advanced/Fluent
German PhD in Geography Head of GIS and IT at an independent consultancy in Germany UK, Ukrainian and German work experience EU passport Fintech project experience
GIS, remote sensing, data science, fintech
Украина, Киев, Львов, EU, USA, Berlin · $700 · Меньше года опыта · Pre-Intermediate
Scientific trainee of data - DataRoot Labs. I study the course "Fundamentals of Scientific Data" at the University of DataRoot Laboratories, got practical skills - SKlearn, XGBoost, NumPy, Scipy, Pandas, Matlibplot, ML, neural networks, mathematics. My last experience as a building information modeling manager in an architectural and construction company for 4 years used python to develop scenarios and programs for automation of architecturally related processes such as fire safety testing, building insolation, assistance in making planning decisions. I have experience in team work, experience in public speaking, experience in implementing and learning new technologies for the team. Also studied Django/Python - developed examples of blog, website - bookmark, online shop, courses, from the book by Antonio Mele "Django 2 on example". Acquired skills: Python3, Django, PostgreSQL, authentication, Scrap Framework, css, xpath, data saving (SQLalchemy, SQLlite).
Data Science, Python, NumPy, Pandas, SciPy, Matplotlib, Git, Machine Learning, Jupyter Notebook, Linux, scikit-learn, xgboost, Django, Scrapy, SQLAlchemy, Mathematics, HTML/CSS, Statistics
I'm taking a course at Data Science Fundamentals Studied Python on the book 'Python 3' Nicholas Prokhorenko and Vladimir Dronov, Django - Antonio Mele's book "Django 2 by Example". I have completed the courses and have certificates at stepik.org: Web Development for Beginners: HTML and CSS certificate - CIT Python Programming certificate - BIOINFORMATIC INSTITUTE
I expect development, good team and interesting tasks
Львов · $1000 · 1 год опыта · Advanced/Fluent
I work as a research scientist/engineer with primary focus on statistical modeling and computer simulations of molecular systems. A large part of my work is devoted to data analysis, visualization and presentation. I have experience applying both classical and deep learning algorithms to exploratory data analysis, pattern recognition, image identification, NLP, as well as standard regression/classification supervised learning tasks. Due to strong mathematical background, I have thorough understanding of machine learning algorithms as well as artificial neural network (NN) architectures, including Fully Connected NN, Convolutional NN, Recurrent NN (LSTM, GRU). My primary frameworks for machine learning tasks are Python Scikit-learn, Keras,PyTorch and Spark MLlib. For data analysis and visualization I use Python NumPy, Pandas, Matplotlib, and SQL (MySQL). I also have experience deploying and working with big data sets on AWS clusters (AWS Elastic MapReduce, Deep Learning AMI, Apache Spark).
Python, Machine Learning, Data Science, SQL, scikit-learn, NumPy, Deep Learning, Jupyter Notebook, Git, pandas, Matplotlib, Keras, NLP, Math, Statistics, English, GitHub, AWS, Apache Hadoop, Apache Spark, time series forecastng, Convolutional Neural Networks, Research and Analytics, PyTorch
I have a PhD degree in statistical physics, which is a quantitative field closely related to data science.
I have a passion for applying analytical and data driven approaches to exploration and modeling of real life processes. Due to this and other reasons, in my future career I intend to focus on the fields related to artificial intelligence (data science, machine learning, research). At a new job, I would love to learn something new and grow as a professional. I enjoy working both independently and as part of a team due to extensive experience of collaboration with other research groups.