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Sergii K.
Last update: 10 Aug 2019
MIDDLE
Over 7 years of scientific research experience and more than 4 years of working experience in IT industry.
I have been working as a Data Scientist about 7 years. I have a Doctor of Philosophy degree in Mathematical Physics that helped me to obtain strong background in mathematical modeling and statistics. During my career I have reached strong experience in Data Science and Machine Learning. I have a great chance to get solid experience in relational (MySQL, MS SQL Server, PostgreSQL) and non-relational (BigQuery, MongoDB, RavenDB, HBase) Data Bases. Also I had made a tolerable proficiency in R programming language. Work on some projects allowed me to gather good working knowledge of Python's Data Science ecosystem (NumPy, SciPy, Pandas, Scikit-learn, etc.). Furthermore, I have achieved deep working knowledge of the Big Data tools (Hadoop, Spark, SparkSQL, MLlib, etc.) and Cloud technologies (Google cloud, AWS). I had a good working knowledge of several BI systems such as Shiny and Google Data Studio as well.
Usually responds within 1 hour
GMT+2 East Europe
New York, Wroclaw, Kyiv, Lviv, Vinnytsia, Poltava, Cherkassy

EXPERIENCE

Industry Experience

Advertising & Marketing, News & Media, Healthcare & Medicine

Product Experience

CRM, Web platform for marketing campaigns

PORTFOLIO HIGHLIGHTS

Jun `18 – Apr `19

10 months

IC

Data Scientist

Developing a Product Search Engine for an on-line market place. The engine was built by using the probabilistic relevance model with the Okapi BM25 relevance function in the core. An artificial Intelligence algorithm that ranges products according to the similarities with a given user query was developed.

The company empowers the media and entertainment industry through transformative innovation. Broadcasters, networks, video service providers and enterprises around the world rely on its optimized, future-proof, multiscreen video and ad management solutions every day to support their mission-critical operations.

Technologies Stack:

Python Amazon Web Services

Industry:

Advertising & Marketing, News & Media

Feb `18 – Jun `18

4 months

Under NDA. CRM

Data Scientist

Developing “Frequency Recommendation System” for the purpose of email-marketing based on the state of the art machine learning algorithms (random forest, XGboost, etc.). Such kind of systems a central to the contemporary email-marketing systems, since it is crucial to predict the most accurate click-through rate (CTR) as possible to ensure the subscribers have the best experience. The experience in developing of the system is summarized in series of blog articles (blog eSputnik.com).

Development of a product that our customer will sell to pharmaceutical companies for the sale of medicines and medical equipment. The project is divided into two main pieces: Customer Relationship Management (CRM), Multi-Channel Marketing (MCM). CRM tracks sales of a product (drugs, equipment, etc.) and cooperation with different healthcare providers and healthcare organizations. The MCM product will help marketing departments to track marketing activities and programs at every stage.

Technologies Stack:

Python R MS SQL Server

Industry:

Healthcare & Medicine

Product:

CRM, Web platform for marketing campaigns

Aug `17 – Feb `18

6 months

Under NDA. CRM

Data Scientist

Developing a configuration module of a Shiny oriented BI system. The main task was to develop the connection between Shiny API and MongoBD as a back-end to customize the process of working with the BI (add new unique users of the BI with the functionality to save the history of their interaction with the one).

Development of a product that our customer will sell to pharmaceutical companies for the sale of medicines and medical equipment. The project is divided into two main pieces: Customer Relationship Management (CRM), Multi-Channel Marketing (MCM). CRM tracks sales of a product (drugs, equipment, etc.) and cooperation with different healthcare providers and healthcare organizations. The MCM product will help marketing departments to track marketing activities and programs at every stage.

Technologies Stack:

MongoDB R Data Visualization

Industry:

Healthcare & Medicine

Product:

CRM, Web platform for marketing campaigns

Mar `17 – Aug `17

5 months

Under NDA. CRM

Data Scientist

Developing several BI systems for the purpose of email-marketing based on the Google cloud technologies (Data Studio + BigQuery). The BI systems visualize the majority of email-marketing KPI and help to understand better the behavior of different groups of subscribers.

Development of a product that our customer will sell to pharmaceutical companies for the sale of medicines and medical equipment. The project is divided into two main pieces: Customer Relationship Management (CRM), Multi-Channel Marketing (MCM). CRM tracks sales of a product (drugs, equipment, etc.) and cooperation with different healthcare providers and healthcare organizations. The MCM product will help marketing departments to track marketing activities and programs at every stage.

Technologies Stack:

ETL R Machine learning Engineer Google Cloud Platform

Industry:

Healthcare & Medicine

Product:

CRM, Web platform for marketing campaigns

Mar `15 – Dec `16

1 year

Under NDA. CRM

Data Science Engineer

Providing text and sentiment analysis for the collection of tweets, namely, applying text mining to find keywords, calculating correlation and association in a term-document matrix for a collection of tweets, building a word cloud of tweets, detecting of outliers, determine the optimal number of clusters among documents, providing PCA, hierarchical clustering and topic modelling for a set of tweets.

Development of a product that our customer will sell to pharmaceutical companies for the sale of medicines and medical equipment. The project is divided into two main pieces: Customer Relationship Management (CRM), Multi-Channel Marketing (MCM). CRM tracks sales of a product (drugs, equipment, etc.) and cooperation with different healthcare providers and healthcare organizations. The MCM product will help marketing departments to track marketing activities and programs at every stage.

Technologies Stack:

Python R Sentiment analysis

Industry:

Healthcare & Medicine

Product:

CRM, Web platform for marketing campaigns

Dec `15 – Mar `15

9 months

Under NDA. CRM

Data Science Engineer

Exploratory Data Analysis and Visualization of a database of an insurance company. Analysis of claims and bills, developing a model for counting claims resolution time and its visualization. Cohort analysis and visualization of customer’s behavior.

Development of a product that our customer will sell to pharmaceutical companies for the sale of medicines and medical equipment. The project is divided into two main pieces: Customer Relationship Management (CRM), Multi-Channel Marketing (MCM). CRM tracks sales of a product (drugs, equipment, etc.) and cooperation with different healthcare providers and healthcare organizations. The MCM product will help marketing departments to track marketing activities and programs at every stage.

Technologies Stack:

PostgreSQL R Data Visualization

Industry:

Healthcare & Medicine

Product:

CRM, Web platform for marketing campaigns

EDUCATION

Poltava State Pedagogical University named after V.G. Korolenko

Master’s Degree in Mathematics

Institute of Mathematics of National Academy of Sciences of Ukraine

PhD Degree in Mathematical Physics

Stanford University on Coursera

Machine Learning

Duke University on Coursera

Business Metrics for Data-Driven Companies

University of California, San Diego on Coursera

Introduction to Big Data

Morebis agency #532

100-400
New York, Wroclaw, Kyiv, Lviv, Vinnytsia, Poltava, Cherkassy
GMT+2

Industries

Logistics & Transportation, Information services & Technologies, Sports & Fitness, Internet & Telecom, News & Media, Healthcare & Medicine, Insurance & Risk Management

We provide strategic business planning, technical consulting and implementation of software solutions using cutting-edge technologies, innovative methods and up-to-date tools. We are glad to help you realize any ideas.

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