Python Developer

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

English, Django, Python, Flask, Linux, SQL, Bootstrap, CSS, HTML, JavaScript, PostgreSQL, AWS EC2, REST API, Django REST Framework, Nginx, Jira, Git, Pandas

Интересный проект с возможностью развития


Data Scientist

$1000 · 2 years of experience · Upper Intermediate

опыт работы в Data Science, но больше опыта в Analyics и много опыта в менеджементе. В данный момент ищу работу в где могу получить практику именно в Data Science. Есть несколько фриланс проектов - работал со кредитным анализом, маркетинговым, исследования рынка и его сегментов, предсказыванием погоды и так далее. Знаком с большинством алгоритмов, Python, SQL. Разбираюсь со Spark Сейчас предоставляю услуги консанлтига и ведение проектов в IT

Python, SQL, Data Science, Machine Learning

Django based web service to predict About Weather Scan Service With machine learning algoritms weather scan is able to predict rain and other critical weather characteristics in 49 regions in Australia. It could be used for any other locations over the world. The weather prediction system includes: - ability to predict from xls files or from external API - external REST API for handling and obtaining results - user interface profile, user registration system - visualization of prediction results - versioning of ML models, prototyping of models - maintaining prediction logs - user security system Bank marketing campaign  kaggle. com/volodymyrgavrysh/bank-marketing-campaigns-dataset-analysis Heart Disease Data Exploration github .com/VolodymyrGavrysh/My_RoadMap_Data_Science/blob/master/data_analysis/Hear_Disease_Data_Exploration.ipynb Educational project s by Data Camp github. com/VolodymyrGavrysh/DataCamp_projects

Интересно получить опыт работы в компании которая применяет DS на практике


Project Manager

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.


Data Scientist

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

24 May

Python Developer

Odesa, Kyiv · $1500 · 2 years of experience · Upper Intermediate

- Developed part of the ETL system (API, data processing pipeline) using AWS stack, took part in deployment setup. - Maintained and developed system of microservices (telecom domain) using Flask, SQLAlchemy, Celery. - Built an auditing system (using Flask stack and Pandas) which revealed lots of inconsistencies in at-the-time billing system. - Worked intensively with databases (PostgreSQL, MySQL, MongoDB) containing 10M+ users' operations, wrote complex queries and provided analytical reports to the marketers. - Supplemented the automated system of statistics collection and data visualization (using the Highcharts.js framework), worked with different APIs, providing analytics. - Developed a system for manual data entry used to collect data that could not be obtained automatically.

Python, PostgreSQL, MySQL, Microservices, REST API, Git, OOP, Flask, SQLAlchemy, Django, Django REST Framework, Pandas, NumPy, JavaScript, Vue.js, Node.js, MongoDB, Redis, Celery, HTML/CSS, AWS, Linux

More interested working in product companies.

24 May

R&D Director / CTO / Architect

Kyiv · $10000 · More than 10 years of experience · Advanced/Fluent

Technological wizard with more than fourteen years of experience. Possesses excellent problem- solving skills and is focused on providing quick solutions to business problems. Deep knowledge in Data Engineering, Software Engineering and Architecture, design and execute Big Data with Lambda integration. Strong interest in Machine Learning. Hands-on experience with modern DevOps/SRE. Has profound practical experience working as a team lead and resolving conflicts. Highly motivated and passionate about learning new technologies and platforms. Specializes in product development. Usual business roles are Director of Development, CTO, System Architect. Overall wears many hats and provides help whenever needed. In all of the latest projects, took the lead technical role, creating all of the estimates, technical documentation, SOW, architecture, milestones, sprints, recruiting, etc. Lead a team of engineers. Participate in the pre-sales process. Lead custom software development with Machine Learning, Big Data industrial practices. Create SOWs. Lead the project team. Hire/fire people. Manage the evolution and growth of the BD/ML division (budget planning, sales forecasting). Develop practices (summarization, generalization, training). Successfully finished (with the high customer appraisal) 10+ projects over a short period of time. Conversion rate optimization. A/B testing. Throughout career, has been mostly a system/backend architect/head. Knows modern UI frameworks (Angular/React). Sets up work with code based on a git-flow, with slight variations based on the size of the team/project. All the latest projects are successfully delivered to the market and generating revenue. Technology Summary: - Software Engineering: C#, .NET/Core, ASP. NET MVC/Core, Entity Framework/Core, Javascript. Typescript, Python, Node.Js, Angular, Unity3d. - Data Engineering/Big Data: Apache Spark, Dask, PyTorch, ELK, Kinesis. - Machine Learning: Recommender Systems, Forecasting, Image Recognition - DB: MSSQL, PostgreSQL, MongoDB, DynamoDB. - SRE/DevOps: Jenkins, Terraform, Docker, Kubernetes, Grafana, Prometheus. - Cloud Computing: AWS, Digital Ocean.

C#, Entity Framework, .NET, LINQ, JavaScript, PostgreSQL, Terraform, Docker, .NET Core, Angular, Python, Spark, Big Data, EMR, AWS, SQL, Lambda, EBS, MongoDB, Node.js, EC2, Serverless, ElasticSearch, Lucene, SQS, Kinesis, Akka.NET, CI/CD, Unity3D, OOP, Git, REST API, ASP.NET, MVC, SOLID, Design Patterns, Entity Framework Core, User Experience, ANTLR, TypeScript, HTML, CSS, ASP.NET CORE, mvc, Airflow, ADO.NET, T-SQL, Angular 2+, MSSQL, Angular 6, Agile, Asyncronous Programming, MS SQL Server, XML, ELK, Prometheus, Grafana, Kubernetes, Highload, Machine Learning, Artificial Intelligence

Delivered a lot of products to market, achieved profitability, being in the lead technical role. Excels at building teams from scratch and managing them remotely.

Medium-to-small company. Preferably a product company. Toxic startup environment is ok, rigid processes are fine too.

24 May

Head of Department

Kyiv · $3800 · 10 years of experience · Upper Intermediate

Currently working as a Head of Product in a cryptocurrency sphere. My main responsibilities are a) defining the development strategy, b) algorithms designing, c) team managing, d) interfacing with clients and stakeholders. Also, having worked at the Academy of Sciences for more than 5 years. During that period I was also a scientific advisor for students of leading universities including the Moscow Institute of Physics and Technology and the National Research University Higher School of Economics. My academic areas of focus were graph theory and real-world network analysis.

Product management, Business Analysis, Team management, Product research, User Experience , Microsoft Office, Product Roadmap, Data Science in Python, Business development, English, User Experience, Analytical and problem solving abilities, Negotiations, Confluence, Product Development, Presentation skills, Programming, Business goals, Critical thinking

My scientific background provides me with a number of products I'm proud of. All of my research used to be in demand from major electronics and IT companies and all those brought added value to the scientific community. My product experience let me grow from a product features delivering perspective and led to being interviewed by Forbes.

I'm keen to join a Product which serves a useful purpose, with ambitious targets backed by an experienced team.

24 May

Junior Python Developer, Data Scientist

Kyiv · $1000 · Less than a year of experience · Upper Intermediate

Тестовый проект по семантическому анализу отзывов с созданием прототипа на Flask. Домашние проекты по построению модели на Keras и Tensorflow по классификации изображений. Домашний проект с использованием библиотеки OpenCV по распознаванию объектов на изображении

Python, Machine Learning, SQL, Deep Learning, scikit-learn, OpenCV, computer vision, Tensorflow, Keras, Git, Linux, Data Mining, Pandas, NumPy, Jupyter Notebook

Тестовый проект по семантическому анализу отзывов. Домашние проекты по классификации изображений и распознаванию объектов на изображении.

24 May

data scientist; scientific computing/machine learning developer 

Kyiv, Lviv · $4000 · 9 years of experience · 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

23 May

Data Scientist

Kyiv · $600 · Less than a year of experience · Upper Intermediate

I am a co-founder of the startup developing some ready business cases for sale (bot for records, shop-bot) using Python and Telegram API.| Created a simple CV project(to distinguish horses from humans). The purpose was the availability of dataset on Kaggle and testing my skills in CV (with CNNs). I’ve achieved 100% accuracy on the train set and 87% on validation and used the model to create a script that will rename files in the folder using the network’s prediction.| As I’m passionate about music I’ve decided to create a portfolio project connected with it. The recommendation system is quite simple and now has only songs of my 2 favorite artists(due to the lack of RAM to work with the whole dataset), but I have a lot of ideas on developing this(want to build RNN for analysing text’s sense)

Python, Machine Learning, SQL, Data Science, Deep Learning, scikit-learn, Jupyter Notebook, NumPy, Pandas, Statistics, Keras, English, NLP, Data Mining, numpy, Algorithms, Computer Vision, Recommender system, Analysis, Git, pandas, Trello, Data Scraping & Processing, computer vision, SpaCy, SciPy, NLTK, Tensorflow, Biology, MongoDB, NoSQL, Analytical Thinking, Data Analisys, Xgboost/Lgbm, PostgreSQL

I'm mostly self-taught and slowly but surely moving to my target everyday for the past 6 months. Completed 200+ hours of DataCamp courses. Achieved 2nd place at biology research tournament where I've developed critical thinking and presentation skills a lot Had written music for 3 songs

I really want to develop myself as a data scientist so, first of all, I'm searching for a job where I can use my practical skills and have free time to improve theory knowledge(want to read a lot of books).

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