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Max D.
Last update: 07 Mar 2019
MIDDLE
Data Science Engineer
• Above 5+ years of experience in Data Analysis, Machine Learning, Data mining with large data sets of Structured and Unstructured data, Data Acquisition, Data Validation, Predictive modeling, Data Visualization.
• Extensive experience in Text Analytics, developing different Statistical Machine Learning, Data Mining solutions to various business problems and generating Data Visualizations using R, Python and Tableau.
• Experience in developing different Statistical Machine Learning, Text Analytics, Data Mining solutions to various business generating and problems data visualizations using R and Tableau.
• Proficient in Machine Learning techniques (Decision Trees, Linear, Logistics, Random Forest, SVM, Bayesian, XG Boost, K-Nearest Neighbors) and Statistical Modeling in Forecasting/ Predictive Analytics, Segmentation methodologies, Regression based models, Hypothesis testing, Factor analysis/ PCA, Ensembles.
All rates are indicative, annual rate includes 20% discount
20% discount on yearly basis
Usually responds within 1 hour
GMT+2 East Europe
Kyiv Ukraine, New York US

EXPERIENCE

Industry Experience

Healthcare & Medicine, Business & Productivity, Internet & Telecom, Data Science & Machine Learning, Big Data, Information services & Technologies, Safety & Security, Mapping & Navigation, Automotive

Product Experience

A complex Data Science project, AI- and NLP-driven language learning solution, Speech-to-text engine and handwritten chars generation, Face recognition systems, API, Image recognition engine

PORTFOLIO HIGHLIGHTS

Jan `19 – Oct `18

3 months

Healthcare analytics

Data Scientist

Performing Machine-learning techniques regression/classification to predict the outcomes. R/SQL programming, with detailed direction, in the execution of data analysis that contributed to the final project deliverables. Responsible for data mining. ETLSQL Server Integration Services (SSIS) for data investigation and mapping to extract data and applied fast parsing and enhanced efficiency by 17%. T-SQL queries to pull the data from disparate systems

Healthcare company

Analytics of the Healthcare databases

Technologies Stack:

Cassandra Cognos DB2 MongoDB Oracle Python SAS Spark SQL Teradata R-Hadoop

Industry:

Healthcare & Medicine

Product:

A complex Data Science project

May `18 – Oct `18

5 months

Zpoken Speech Recognition API

Data Scientist

Design and conduct experiments to find methods to improve speech recognition accuracy, including data collection and preparation, running recognition software, and analyzing results. Develop and simulate machine learning strategies for using multiple sources of evidence to predict and improve speech recognition quality. This includes training and testing neural networks, maximum entropy classifiers, or other machine learning methods.

Zpoken product

Zpoken STT (speech-to-text) engine – is a leading speech recognition software used for audio transcription, analytics, and voice-enabled applications. STT includes 5 different languages (English, Russian, Ukrainian, German and Chinese) that were developed from scratch and have accuracy more than 97%.

Technologies Stack:

C++ MongoDB Python Docker TensorFlow

Industry:

Business & Productivity, Internet & Telecom, Data Science & Machine Learning, Big Data

Product:

AI- and NLP-driven language learning solution, Speech-to-text engine and handwritten chars generation

Works:

Jul `17 – Jun `18

11 months

Zpoken Object detection & Facial recognition API / SDK

Machine Learning Engineer

Research and develop computer vision algorithms and systems in image/video processing. Conduct cutting edge technologies to practical problems such as detection/recognition/tracking over body/face/car; Conduct eyes tracking system. Implement perception algorithms for object detection, tracking, and classification. Implement sensor network algorithms from different perception sources. Whole cycle of the product, including exploration, research, design, development, and productization.

Zpoken Product

Zpoken Object detection & Facial recognition API enables developers and businesses to easily build face recognition into a variety of software products.

Technologies Stack:

C++ MongoDB Perl Python Docker TensorFlow

Industry:

Business & Productivity, Data Science & Machine Learning

Product:

Face recognition systems, API

Works:

Jun `18 – Mar `18

3 months

Bags Detection

Machine Learning Engineer

Developing algorithms for bags detection using Tensorflow. Preparing datasets and training neural networks.

Bags detection - is an image recognition system for the detection of left bags for security reasons. The system detects people with bags and bags that are left, and creates alerts for security managers.

Technologies Stack:

C++ PostgreSQL Python Docker TensorFlow

Industry:

Information services & Technologies, Safety & Security

Product:

Image recognition engine

Works:

Nov `17 – Mar `18

4 months

ZPOKEN Mines Detection

Machine Learning Engineer

Developing algorithms for landmines detection and recognition using video stream from UAV complex and ground penetrating radar.

Zpoken Landmines Detection is a software complex for mines detection and collecting this data. After scanning the data is available for the operator. Mobile scanner – is a mobile application used for real-time landmines definition. The app runs on a tablet device using a camera and image recognition to match the image with the database. ZPOKEN UAV software and a base station that handles both flight control and the landmine detection algorithms.

Technologies Stack:

C++ MongoDB PostgreSQL Python TensorFlow Caffe scikit-learn

Industry:

Mapping & Navigation, Data Science & Machine Learning, Big Data, Automotive

Product:

Image recognition engine, A complex Data Science project

Works:

EDUCATION

National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

Bachelor’s degree in Applied System Analysis

Nvidia Developer Program

Machine Learning Developer

Nvidia Deep Learning Institute

Machine Learning Developer

AI and Data science agency #538

50-100
Kyiv Ukraine, New York US
GMT+2

Industries

Business & Productivity, Banking & Finance, Advertising & Marketing, Blockchain & Cryptocurrency, Big Data, Automotive

Zpoken strong AI development team with deep expertise in Machine Learning, Deep Learning and Data science. Whether you are looking for individual step (consulting, technology selection and technical design, development, integration, maintenance) or full-cycle solution, we deliver both.

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