CV: Iurii Milovanov, Data Scientist

curriculum vitae

Personal details

Full Name: Iurii Milovanov Date of birth: 5 June 1988 Nationality: Ukrainian Marital Status: Married

Contact information Location: Lviv, Ukraine Skype: YMilovanov E-mail: [email protected] LinkenIn: linkedin.com/in/ymilovanov

Iurii is a computer science expert with strong emphasis on cutting-edge technologies. His research interests include various aspects of modern, progressive IT and state-of-the-art artificial intelligence, such as distributed and parallel computing, scalable machine learning (deep learning and big data), natural language processing, computer vision and others; Iurii has established business and management backgrounds and has already got more then 8 years of software development and project management experience in various business domains, including healthcare, retail and financial services, while being involved at various stages of software solution delivery. Thus, his role primarily lies in the intersection of business and technologies;

Experience

Data Scientist Practice Leader at SoftServe Development, LLC — Outsource software development — Lviv, Ukraine September 2015 — present

● Act as a leader across all of the data science project life-cycle ● Collaborate with executives and other senior management to formulate and evolve data science

service line ● Conduct data science service pre-sales, consulting and marketing routines ● Manage and plan Data Science team budget and human resources, lead on hiring and salary

management ● Work with and alongside business and technical stakeholders to identify solution requirements,

business goals and expected outcome ● Identify the set of skills, technologies and methods required for successful solution delivery ● Communicate results, technical constraints and decisions to the business and non-specialists ● Create and deliver progress reports, proposals, documentation and presentations

Senior Data Scientist. Advanced Analytics Expert at SoftServe Development, LLC — Outsource software development — Lviv, Ukraine October 2014 — August 2015

● Create innovative and efficient products that address and solve Client's business problems ● Apply advanced statistical, data mining and artificial intelligence techniques to design complex

analytical solutions ● Perform R&D and feasibility studies, communicate results and methodologies ● Deliver end-to-end prototypes and proof of concepts that demonstrate real value ● Assist and support pre-sales teams on presenting data science expertise and services to the Clients

mailto:[email protected]

mailto:[email protected]

http://linkedin.com/in/ymilovanov

http://linkedin.com/in/ymilovanov

Big Data Technical Lead at iBPM LLC — IT consulting — Kiev, Ukraine November 2013 — September 2014

● Design, deploy and integrate distributed and highly scalable Big Analytics solutions ● Identify the set of technologies and frameworks required to manage and analyze massive datasets ● Support and develop innovation and technical excellence in the team ● Manage day-to-day activities of software engineering, DevOps and R&D teams ● Be responsible for all the technical efforts of solution delivery

Senior InfoSec Engineer at Novell Consulting Ukraine LLC — IT consulting — Kiev, Ukraine May 2008 — November 2013

● Design, deploy and integrate enterprise-level InfoSec solutions (IdM, SIEM, AM, SSO and others) based on «Novell» and «NetIQ» product portfolio

● Contribute to all key stages of project implementation, including requirements analysis, design, development, deployment, testing and maintenance

● Create and deliver technical documentation, presentations, seminars and training programs

Professional skills

● Specializes in designing and implementing distributed and massively parallel Big Analytics solutions using full power of Big Data ecosystem (Hadoop, Spark, Kafka, HBase, Cassandra, Elasticsearch) to implement both real-time and batch data processing models;

● Successful in applying data mining and machine learning techniques to various business problems and creating enterprise-level analytical solutions;

➢ Data exploration ➢ Pattern recognition ➢ Cluster analysis ➢ Anomaly detection

● Experienced in solving various computer vision and image understanding tasks using state-of-the-art AI and deep learning techniques, such as feed-forward, recurrent and convolutional neural networks;

➢ Object recognition ➢ Image classification ➢ Scene recognition

● Deeply experienced in developing multilingual natural language processing and text analytics solutions by combining corpus linguistics and machine learning approaches;

➢ Knowledge extraction ➢ Sentiment analysis ➢ Topic modeling ➢ Text classification ➢ Ontology learning

● Experienced in social media data processing and analytics and its application to real-world business problems in various business domains, including marketing, retail, human resource and others;

➢ Distributed social and web crawling ➢ Social network analysis ➢ Behavioral analytics

● Strong computer science background and skills in C, Python, Java and Scala. Experienced in solving various data science problems using best-of-class frameworks and libraries, such as R, NumPy/Pandas/Scikit-learn, XGBoost, Theano/Tensorflow, NLTK, Gensim, OpenCV, Kaldi, Vowpal Wabbit, Spark MLlib, ScalaNLP, H2O, Deeplearning4j;

● Expertise in cloud computing using Amazon Web Services (EC2, S3, EMR);

Selected Projects

Gamification In Healthcare Project Description: Research study on developing a gamification engine for the healthcare personal assistant mobile app. Customer: US company Involvement Duration: 1 month Project Role: Lead Data Scientist Responsibilities:

➢ Exploratory data analysis ➢ Product management

Project Team Size: 3 members Tools & Technologies:

➢ Probobalistic modelling ➢ Simulation analysis ➢ R (dplyr, ggplot2, parallel)

Trending Analysis Project Description: Analyze multi-dimensional retail sales data to uncover hidden trends and anomalies and develop prescriptive reporting tool that helps business make proactive decitions. Customer: Canadian company Involvement Duration: 2 month Project Role: Lead Data Scientist Responsibilities:

➢ Exploratory data analysis ➢ Product management ➢ Quality assurance


➢ Time-series analytics ➢ R (data.table, dplyr, ggplot2, parallel, shiny) ➢ SQL, DWH (IBM Cognos, Netezza)

Design Sketch Beautification Project Description: feasibility study on converting digitally created design sketches into beautified vector representation based on "Beautification of Design Sketches Using Trainable Stroke Clustering and Curve Fitting" article by Orbay and Kara 2011 Customer: US company Involvement Duration: 4 month Project Role: Lead Data Scientist Responsibilities:

➢ Solution design and architecture planning ➢ R&D and engineering teams leadership ➢ Graph analytics ➢ Quality assurance ➢ Business communication


➢ Artificial neural networks ➢ Cluster analysis ➢ Graph analytics ➢ Spectral analysis ➢ Jython, JBlas, jgrapht, Processing.org ➢ Python, NumPy/SciPy, Theano ➢ GPU-based computing (CUDA)

Image Object Recognition Project Description: PoC on detecting target objects in an input visual stream to help business analyze and recommend optimal product placement on store shelves Customer: Ukrainian retail company Involvement Duration: 5 month Project Role: Data Scientist Responsibilities:

➢ Environment design and development ➢ Image preprocessing ➢ Image segmentation ➢ Density-based spatial clustering ➢ Optimization and performance testing ➢ Technical and scientific writing


➢ Computer vision ➢ Cluster analysis ➢ Convolutional neural networks ➢ Python, Pillow, NumPy/SciPy, Theano ➢ GPU-based computing (CUDA)

DRLearner.org Project Description: Open source implementation of the deep reinforcement learning algorithm, described in “Playing Atari with Deep Reinforcement Learning” by Google DeepMind Customer: Open source Involvement Duration: 4 month Project Role: Research assistant, 3rd Author Responsibilities:

➢ Environment design and development ➢ Neural networks and Machine learning ➢ Optimization and performance testing ➢ Technical and scientific writing


➢ Convolutional neural networks ➢ Reinforcement learning ➢ Arcade Learning Environment (ALE) ➢ Python, Pillow, NumPy/SciPy, Theano ➢ GPU-based computing (CUDA)

Social Trend Analysis (Financial) Project Description: Scalable and distributed solution for collecting and processing social data to analyze financial markets for customers' opinion Customer: Ukrainian government Involvement Duration: 6 month Project Role: Big Data Technical Lead Responsibilities:

➢ Solution design and architecture planning ➢ R&D, DevOps and BI teams leadership ➢ Text analytics ➢ Data exploration and BI analytics ➢ Quality assurance ➢ Business communication


➢ Cloud computing

➢ Distributed and parallel web crawling ➢ Real-time and batch data processing ➢ Hadoop, HBase, Spark, Impala ➢ Natural Language Processing ➢ Sentiment analysis ➢ Time series analysis ➢ Data visualization ➢ Python/NumPy/scikit-learn, R, NLTK, IBM Cognos

Big Analytics in Credit Scoring Project Description: Improve credit scoring model by incorporating additional features from social media data Customer: Ukrainian company Involvement Duration: 6 month Project Role: Big Data Technical Lead Responsibilities:

➢ Solution design and architecture planning ➢ R&D, DevOps and BI teams leadership ➢ Social media analytics ➢ Graph analytics ➢ Text analytics ➢ Quality assurance ➢ Business communication


➢ Cloud computing ➢ Distributed and parallel web crawling ➢ IBM BigInsights ➢ Hadoop, HBase, Pig/Hive, Spark ➢ Natural Language Processing ➢ Social Network Analysis (SNA) ➢ Behavioral analytics ➢ Scala, R, SQL

Certifications

Cloudera Certified Developer for Apache Hadoop (CCDH) December 2014 — present

IBM BigData Fundamentals Technical Professional June 2014 — present Big Data XSeries Databricks and University of California, Berkeley August 2015 — present Data Science and Engineering with Spark Databricks and University of California, Berkeley September 2016 — present

Data & Analytics

CV: Iurii Milovanov, Data Scientist