Remote work, Ukraine · $4000 · 5 years of experience · Upper Intermediate
Python, Kafka, Cassandra, RabbitMQ, Data science, pandas, numpy, scikit-learn, algorithms, Flask, aiohttp, Postgres, mongo, spark, pyspark, ETL
Remote work, United States · $2000 · Advanced/Fluent
I am an English native speaker, looking for work in a collaborative professional environment with room to develop. I am currently pursuing a master's degree in data analytics and have academic experience building classification and regression machine learning models and utilizing a variety of data science algorithms. Some of my completed projects are a model for predicting whether a flight will have empty seats using pandas and PySpark and I am currently working on training a model for article classification. Furthermore, I have a bachelor's degree in mathematics which allows deep understanding of the underpinnings of data science.
Python, Machine Learning, Data Science, SQL, Math, pandas, Jupyter Notebook, NumPy, Algorithms, English, Pandas, Tableau, Statistics, Excel, Bayesian Inference, Unsupervised Learning, R Language, Communication Skills, Agile, MySQL
I am proud to have a bachelor's in mathematics from an American university which I believe showcases and helped to develop a strong capacity for understanding logical structures, such as those found in data science. I am also particularly proud of a project where I was tasked with creating visualizations of a data tree model to predict customer purchase trends.
I would like to work in a supportive environment with room for collaboration and development. I would prefer to work in an Agile team. As someone who is pre-intermediate in Russian, I would benefit from working in an environment with many colleagues who can speak English.
Chernigiv, Kyiv · $2500 · 10 years of experience · Intermediate
List of companies with whom I collaborated in various projects last year: • Worldwide wireless security systems – AJAX SYSTEMS (Ukraine) – https://ajax.systems • Automotive head lighting – PROBRIGHT (Russia) – http://probright.ru (https://diliht.ru) • Waveguide projecting systems – COLOUR HOLOGRAPHIC LIMITED (England) – http://www.trulifeoptics.com • Laser ray-tracing aberrometer, visual aberration measurement research (guidance of Prof. V.V.Molebny) – TRACEY TECHNOLOGIES (USA) – http://www.traceytechnologies.com/ Project activity in the field of optical design: - Elaboration of the principal and optical scheme of Diffraction Spectrum Analyzer - for measuring some physical and chemical properties of a grain. - Elaboration of the special objective lens for laser beam scanning - "Ef-theta lens" (f-θ lens) - for industrial laser processing (cutting) the materials. - Design of the optical scheme of the local Spectral Image Analyzer based on back scattering. - Elaboration and engineering of a specialized (projecting) short-focus lens for LED (Bi-LED) lightning for car headlights (low and high beams) for Diliht (ProBright) company. - Elaboration of narrow beam (long distance) automotive LED floodlight; - Waveguide optics design for input into the eye of additional video information from the projection display; - Simulation of the ray path in the optical system of light microscope. Design of the optical-mechanical adapter to obtain the necessary parameters of the image focusing. - Research the optical system of the eye. Research the methods of measurement, calculation and visualization of wave, ray and refractive aberrations of the eye as well as cornear shape and eye length. Participation in the development of the conceptual and optical scheme of the advanced laser raytracing aberrometer and kerato-topographer with different additional functions (eye length measure etc.). - Diffraction monochromator; - Iris remote access control systems... ...and some others...
Zemax, optical engineer, optical design, optics, data, science, designer, оптик, инженер, расчет, оптических, систем, оптимизация, моделирование, симуляция, физика, optimization, modelling, simulation, calculation, mathematics
The best honor - my family and my three kids :)) Declaration Patent of Ukraine. Method of calibration of laser raytracing aberrometer (53064 A), V.V.Molebny, O.V.Lutsenko. Participation and presentation in The Third China-Ukraine Forum of Science and Technology (Harbin, Chengdu, China); Participation in Qingdao International Technology Transfer Conference & Aoshan Eurasian Science and Technology Forum (Qingdao, China) - 2017.
Exciting work or collaboration mainly in the field of OPTICAL DESIGN, engineering and IT with great team in the international large-scale company that brings creativity and innovations. Concept creation, researching, calculation and optimization of the various optical systems. Mathematics and physics knowledge is also providing. Remote work mode is preferable, but relocation is also not excluded.
Kyiv · $450 · Upper Intermediate
Student of FICT (Igor Sikorsky's KPI). 2.5 years of coding in Python. 1 year of practicing neural networks. Want to find a job for gaining more experience and learning new useful skills.
Python, MySQL, Keras, TensorFlow, pandas, NumPy, Algorithms, Jupyter Notebook, numpy, scikit-learn, Math
Working pet project based on face verification. Successfully completed certification test of the Samsung R&D.
Kharkiv · $300 · Intermediate
Не имею опыта работы, в данный момент студент университета, специальность - Компьютерные науки. Хочу развиваться в направлении Data Science, Machine Learning, Neural Networks, получая максимум опыта и знаний на реальных проектах.
мат. статистики, линейной алгебры, ООП, C++/Python. , Базы данных, теории вероятностей
Участие в марафоне по написанию системы распознавания символов переработки на упаковке.
Интересные проекты, возможность учиться или даже иметь опытного ментора.
Kyiv · $600 · 1 year of experience · Intermediate
Programming languages - Python3( scipy, matplotlib, numpy,openCV,pandas,standart lib,scikit-learn,statsmodels); Base Object Oriented Programming knowledge in Python; Database: relational database (SQLite, MySQL,Oracle); Math:Good knowledge of analysis ,statistics,probability theory,linear algebra,optimization,bace knowledge of some ML algorithms(such as:GLM,DecisionTrees,KNN,PCA,Ensemble methods,SVM … etc) and deep learning algoritрms; English: Intermediate; Version Control: Git. Developing of predictions models for insurance losses and estimation of reserves every;
Python, SQL, MySQL, Oracle, SQLite, English, Git, Linux, OOP/OOD, numpy, scikit-learn, pandas, Machine Learning, Matplotlib, SciPy, Linear Algebra, Probability Theory & Statistics, Excel, Cassandra, MongoDB, Power BI, Data Visualisation, statsmodels, Time Series, Keras, Hadoop
Creating statistic models in auto third party liability insurance for forecasting of losses.
Student Find DataScience propositions where i can use the modern technologies and different math methods(such as statistic,ML); can learn new technologies quickly; flexible shedule.
Kyiv · $3000 · 5 years of experience · Advanced/Fluent
Experience with new products development, companies turnaround, investments, IT solutions implementation, development of inhouse analytical solutions (R, Python, dashboards) Management and operational experience in sales, accounting and finance, manufacturing, treasury in Ukraine and internationally. I am interested in deep diving into product management field as this is what I love doing the most - finding and implementing solutions that solve customer's pains and needs. Ask for complete resume where you will find complete competencies list and detailed experience.
Product management, New Product Development and Launch, Analysis and research, Analytical Skills, Business development, Business Planning, Data Science in Python, Data Analytics, Pandas/Numpy/Scikit-learn, R Shiny, Deep Learning, Probability Theory & Statistics, Predictive Models, Financial Reporting, Data Visualisation, Excel/VBA, Econometrics, Product Development, SQL, Business Analysis, Marketing, Marketing Strategy, Stakeholder Management
IT solutions implementation on a client side: mostly front-to-back treasury related systems including collaboration with Bloomberg. Analytical solutions development for risk management using DS and statistics. Self build dashboards, data processing and automation tools. Practical knowledge of VBA, R, Python, dash, shiny, DS packages. Participated in DS based ad bidding optimisation project. Implemented several business related DS tools: sales forecasting, production planning, retail price monitoring system Product development and companies turnaround success stories: TV wall mounts and Digital Signage solutions - 70% YoY growth. Recycled plastics - the company was the first Ukrainian company to export its products to China.
I would like to spend next five years solving customer pains and exceeding their expectations of a product offering. I perform best in no-bureaucracy environment in a company that envisions no limit to the potential of its product.
Remote work, Ukraine · $1800 · 5 years of experience · Upper Intermediate
Five years as data analyst in total. Last three years I’ve been working in IT product analytics, where I’ve closed countless number of analytical tasks in user acquisition, payments, ad monetization and CRM, mostly answering the question: “how can we increase revenue?”. Last year I’ve been focused primarily on user behavior on the product, aiming to reveal casual relationships between sequences of user actions on particular lifetime and churn / revenue.
Python, SQL, Tableau
- Developed user scoring model for irrelevant \ motivated traffic detection on low amounts of user acquisition - Derived heuristic rules for 'whales' churn prediction - Automatized target KPIs downturns analysis - Actually, helped that guy who asked for help with excel formula
Dos: - product company - bureaucracy free environment - peers focused on solving product problem rather than applying specific ML tool Don'ts: - "excel" in required skills
Kyiv · $700 · Advanced/Fluent
I have a bachelor degree in pure mathematics, in six month I'll have a master degree. 6 years teaching math as a tutor. 6 years studying math, including math statisitcs and probability theory, did a lot of laboratory works. Very interested in Data Science projects. Passed a courses on Coursera platform, such as Python for Data science, Data Analysis with Python, Databases and SQL for Data Science, Introduction to Data Analysis Using Excel. I did a project to predict the price of a car, used linear regression, multiple linear regression and polynomial regression, model evaluation using visualization, ridge regression and so on. More information you can find on my CV.
Python, Data Science, SQL, NumPy, pandas, Math, Pandas, Matplotlib, Algorithms, R, Databases, Statistcs, scikit-learn, Jupyter Notebook, numpy, Statistics, R-Studio
Kyiv · $800 · Less than a year of experience · Upper Intermediate
Data Engineering experience - 7 months: Creating and setting up data pipeline for ML solution for pricing optimization. ETL, DDl, DML, collecting some analytics and metrics.
SQL, BigQuery, Google BigQuery, Python, Git, Jira, Confluence, Data Engineering, ETL
1. Created parameterized SQL scripts to collect analytics and business metrics, such as applied recommendations, calculating the impact of our decision on client revenue and sales. It was widely used by customer facing and customer success teams. 2. Created and supported automatic data pipeline tests, for Entry (raw client data) and our processed data. Significantly simplified and accelerated QA process. 3. Adapted dataset and whole pipeline for RNN (recurrent neural network). 4. Uncountable amount of features, fixes, optimizations, performance and speed improvements, etc.
- Gaining more experience - Interesting projects - Improvement of my skills and getting new - Working with good team - Improvement of existing knowledge