MD
Ukraine
UTC+02:00 (Europe/Kiev)
Max D.
Data Science Engineer
Higher Education Computer Science
$60,500$48,400/YEAR
20% discount on yearly basis
All rates are indicative, annual rate includes 20% discount
$5,000/MONTH
$30/HOUR

Expertise

Core technologies

Python 5 years
R 3 years
Caffe 3 years
C++ 2 years
TensorFlow 3 years

Other technologies

Agile
Scrum

Portfolio Highlights

Jan `19 – Oct `18
3 months

Healthcare company

Analytics of the Healthcare databases

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

Cassandra
Cognos
DB2
MongoDB
Oracle
Python
SAS
Spark
SQL
Teradata
R-Hadoop
May `18 – Oct `18
5 months

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%.

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.

C++
MongoDB
Python
Docker
TensorFlow
Jul `17 – Jun `18
11 months

Zpoken Product

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

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.

C++
MongoDB
Perl
Python
Docker
TensorFlow
Jun `18 – Mar `18
3 months

Bags Detection

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.

Machine Learning Engineer

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

C++
PostgreSQL
Python
Docker
TensorFlow
Nov `17 – Mar `18
4 months

ZPOKEN Mines Detection

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.

Machine Learning Engineer

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

C++
MongoDB
PostgreSQL
Python
TensorFlow
Caffe
scikit-learn

About me

• 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.

AI and Data science agency #538

50-100
Kyiv Ukraine, New York US
GMT+2
Core Expertise
C#
C++
Data Scientists
Java
.NET
Python
Artificial Neural Networks
Machine learning Engineer
TensorFlow
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.