Kyiv · $750 · Less than a year of experience · Advanced/Fluent
Interested in grows in advanced analysis and ML, keen on mastering and implementing new technologies.
Python, Data Science, NumPy, Machine Learning, Jupyter Notebook, scikit-learn, Pandas, TensorFlow, Matplotlib, Keras, NLP, Git, English, SQL
Education: Master degree in Electrical Engineering. Radioengineering Faculty National Technical University of Ukraine "Kyiv Polytechnic Institute" Courses: -Python for Data Science and Machine Learning Bootcamp -Python разработка - с нуля до профессионала. Python 3 -The Complete Python 3 Course: Beginner to Advanced! -Complete Git Guide: Understand and master Git and GitHub
Kyiv · $600 · 1 year of experience · Advanced/Fluent
DataRoot Labs | DataRoot Labs November 2018 - December 2018 • Lectures, theory • Laboratory works in Python with the implementation of machine learning algorithms • Final project The project was mostly about extraction key features, e. g. time needed to read, sentiment, article's subject, keyphrases, etc., from a given article's link (we used spaCy and nltk for text pre-processing and textacy for keyphrases extraction). • Knowledge of classification and regression algorithms: Decision Trees, Logistic and linear regression, SVM, Naive bayes classifier. • Clustering and decreasing dimension: K-means, PCA • Linear algebra, probability theory, discrete mathematics, statistics, integral and differential computation • Python • NumPy, scikit-learn, pandas, Keras • Jupyter Notebook, PyCharm • SQL, GIT • Participation in Kaggle competitions • Russian(native), Ukrainian(native), English(Advanced)
Python, Machine Learning, pandas, numpy, Deep Learning, Data Science, scikit-learn, NLP, English, Data Mining, Math, Git, Linux, Matplotlib, nltk, gensim, spacy, Jupyter Notebook, Keras
mlcourse.ai – finished in 36th place Cambridge English: Advanced (CAE) – CEFR level C1 Coursera – Structuring Machine Learning Projects Coursera – Neural Networks and Deep Learning DataRoot University final project (NLP, keyphrase extraction)
Opportunity to build interesting data-driven solutions and to develop myself in the field of Data Science.
Kyiv · $1700 · 8 years of experience · Advanced/Fluent
For the past 8+ years I’ve been working as a business consultant at EY (Ernst & Young) in Kyiv, Frankfurt a.M., and Hamburg. Though my primary focus lied in the field of tax and reward advisory, I actively participated in cross-functional projects of different scale. Due to my fast learning skills I gained comprehensive knowledge in business performance improvement, process reengineering and organizational design, as well as due diligence and assurance matters. As a rule, my role combined continuous project management and direct delivery on scope and ad hoc tasks, and I was engaged in several simultaneous projects at a time. Research and analysis were always my biggest passions in work, and I excelled in data-driven tasks involving modelling and automation. Recently I realized I want to shift my professional focus from consulting to industry, and I am primarily focusing my effort on a challenging analytical product-oriented role. I’m highly confident that my proven track record of successful diversified analytical projects and extensive client-facing experience, as well as solid autodidactic mindset and exceptional attention to detail will make me a valuable team asset. My CV and reference letter provide additional details of my professional qualifications, and I really look forward to discussing mutually beneficial cooperation.
Project Management, Business Analysis, Product research, Business modeling, Data Analysis, Data Modelling, Analytical Skills, Analytical and problem solving abilities, Product Analysis, Business Process Development, Business Processes Optimization, Market research, SQL, Python, BPMN, Tableau, Excel/VBA
- Successfully executed and supervised numerous advisory projects for 200+ clients from different industries in Europe, Ukraine and CIS - Developed a number of in-house and client-facing automated tools for valuation, data visualization, and general routine optimization - Maintained and improved an internal SQL database - Led a functional stream in a full-scale on-site business transformation project, acted as a project ARIS architect
Kyiv · $1600 · 1.5 years of experience · Advanced/Fluent
As a member of a data science team of 4 members I took part in the development of the OSINT system, which is widely used by military structures. I was responsible for creating modules for processing textual information: text summarization, keyword extraction, named entity recognition, sentiment analysis. I built a face recognition system, which is able to detect and recognize faces of 100+ people in both visible and infrared spectrum. NLP: text summarization, keyword extraction, topic modelling, sentiment analysis, named entity recognition, text classification. CV: optical character recognition, license plate recognition, face detection/recognition.
Python, SQL, Machine Learning, Data Science, Matplotlib, Jupyter Notebook, NumPy, Pandas, NLP, Tensorflow, Keras, Linux, Scikit-Learn, Git, Deep Learning, Jira, gensim, NLTK, SpaCy, Data Mining, OpenCV, Statistics
I’m currently looking for a Data Scientist position in a progressive company with interesting and challenging projects.
Lviv · $1200 · 1 year of experience · Advanced/Fluent
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.
Python, Scrum, Pandas, Jira, Git, JSON, PyTorch, Jupyter Notebook, OOP, Linux, Statistics, Matplotlib, Machine Learning, Data Science, Data Visualisation, NumPy, scikit-learn, Tensorflow, Deep Learning, SQL, Keras, NLP, Computer Vision, English, Docker
I produce basketball analytics about players based on the videos. My part was the ball tracking, we get precision 50.4%, and f1 is 50.4%. It isn't a big score but on 10% - 15% of videos it can't be visible by the person, because sometimes the camera is moving too fast and the entire picture is blurry, on other frames the ball is too blurry. For improving we need better video quality. Then, we start working on action detection; we have precision 82% and f1 score 72% for shots. It happens that some passes that go through all basketball courts are predicted as shots. We are still working on improving this detector. I had more research experience when I was in Prague, working on TextTopicsNet related project. I found it interesting to split big, not understandable topic to smaller pieces and learn one by one. My math knowledge helps me a lot during the research journey.
Like to work in a team.
Kyiv · $3000 · More than 10 years of experience · Advanced/Fluent
My interest in Algorithmic Trading first came 15 years ago. Many steps have been taken in order to achieve success in this competitive area: 1) Higher education — The University of Bristol, United Kingdom. BSc in Economics & Finance. 2) In order to learn programming, I worked as an iOS Developer for 6+ years and developed 10+ projects from scratch. Apart from developing for iOS (i.e. iPhone & iPad), I was creating apps for macOS and watchOS (i.e. Apple Watch). 3) Throughout my life, I was constantly engaged in quantitative research and development of trading bots. 4) Roughly 5 years ago I understood that Data Science and Machine Learning techniques will greatly improve my existing Algorithmic Trading tools. 5) Currently reading "Advances in Financial Machine Learning" (by Marcos Lopez de Prado). Interested in Modern Portfolio Theory and diversification. 6) English — Fluent. IELTS score 8.0 / 9.0.
Remote work, Ukraine · $2000 · 5 years of experience · Advanced/Fluent
Python (Numpy, Pandas, scikit-learn), R, PySpark, Tableau, SQL, Hadoop, Hive, Impala, MS Office, Redshift, Looker
Python, SQL, Data Science, Machine Learning, pandas, scikit-learn, Deep Learning, NumPy, Jupyter Notebook, Data Labeling, Analysis and research, MS Excel, MySQL, Probability Theory, Data Mining, Matplotlib, Git, Algorithms, English
• Developed two different approaches of unsupervised machine learning on video game players by utilizing biochemistry methods from DNA sequence mining (CM-SPAM) and algorithms from hierarchical (AGNES), density-based (HDBSCAN) and partitioning (KMeans) families of clustering techniques in R and Python • Deployed one of approaches above using Spark, Hive and Impala SQL thereby delivering weekly insights to several stakeholders on completely automated basis via Tableau dashboards and various reports. • Presented other segmentation approach at Machine Learning Innovation Summit 2018 in San Francisco, Data Innovation Summit 2018 in Stockholm and Nordic Games 2018 in Malmö to audiences of 200-600 attendees
I am looking for a part-time remote work with flexible hours in Data Science or Data Engineering / Analysis. I work as a Senior Data Scientist in London and would like to use this one to widen my area of expertise and sharpen my skill set. I have a lot of experience in the Data Science field and very strong communication skills in English (+ Russian/Ukrainian).
Kyiv · $1000 · 1.5 years of experience · Advanced/Fluent
Scripting, back-end web-dev and machine learning Python: Django, Flask, matplotlib, pandas, DRF OS: Windows, Ubuntu Other: PostgreSQL, basic web-dev stack(HTML, CSS, JS, Bootstrap), Nginx, AWS, Git, Jira, Bitbucket, bash
Интересный проект с возможностью развития
Remote work, Ukraine · $3500 · More than 10 years of experience · Advanced/Fluent
Experienced IT project manager (14 years) and data analyst (8 years). Extensive portfolio of 60+ projects. Certified Google Analytics Professional. Software Engineering background. I specialize in: — complex ecommerce websites; — high quality data analytics (based on Google Analytics and Google Tag Manager); — conversion rate optimization. Spending my time between South East Asia (HK, Singapore) and Eastern Europe (Ukraine). I'd love to work on long term projects.
Project Management, Agile, Scrum, Kanban, Waterfall, SDLC, Google Analytics, Google Tag Manager
14 лет опыта руководства проектами (мне 38), 8 лет удаленной работы техдиректором группы интернет-магазинов. Опыт создания отдела разработки в офисе (агентство интернет-рекламы, top 3 по России), работ для брендов (wap-проекты для Megafon, Nokia, Tele2, Opera).
Крупный интернет-магазин или стартап. Возможность принимать оперативные решения самому, отвечая за результат. Отчетность напрямую директору (CEO, CTO). Команда сильных IT-специалистов.
Kyiv · $3500 · 3 years of experience · Advanced/Fluent
Analysis Tools: Power BI (developer), Tableau (developer), Excel (expert), STATA Programming: R(5 years), Python(3 years): Numpy, Scipy, Scikit-learn, TensorFlow, Keras, VBA Business Software: Cognos, SAP BO, Oracle E-Business Suite, Hyperion, 1C Databases: SQL (MySQL/MS/Oracle), MongoDB Skills: IFRS, Cross-Functional Teams management, Project management, Problem solving, Statistical methods, ML algorithms, Optimization modeling, Financial analysis, Investment analysis, Business valuation BUSINESS EXPERIENCE Senior Data Management Specialist Nov. 2018 – July 2019 Luxoft (Software development) • Designed a new framework (R language) and Tableau solution for executive reporting • Reengineered corporate pre-sale model (VBA) to standardize a pre-sale process Head of Analytical Unit July 2017 – Oct. 2018 AXA Ukraine (Insurance) • Developed a new cost allocation model (R language) to evaluate channel/product/LoB efficiency • Facilitated AXA UA acquisition to third party by coordinating and analytical supporting due diligence process Data scientist (Investment Efficiency) May 2016 – July 2017 VEON (Telecommunications) • Leaded implementation of a predictive ML model (Python) for project performance evaluation to reduce inefficiency in CAPEX for over 800 technical projects per year • Introduced a new costing models (Python) to measure corporate benchmarks (70k network elements;23M subs) • Engineered reports pack (R language + Python) and Google Earth based visualization solution to enhance transparency of commercial reports (incl. anomaly and insight detection) Financial Analyst Sept. 2015 – Apr. 2016 A.S. Watsons (Retail) • Developed an analytical database (R language) to increase accuracy of internal reporting • Improved efficiency of non-trade purchases by refining a control procedure
R (language), SQL, Visual Basic (VB), XML, Python, Machine Learning, Statistics, MongoDB, SAS
EDUCATION The University of Texas Aug. 2020 M.S., Business Analytics; Data Science track GPA 4.0
Interested in Data Science only (Statistics + ML) Not interested in NLP, Deep learning, BI and Data Engineering, dating projects