Oleg Borisov
NLP Consultant at PwC Switzerland
Artificial Intelligence Developer
Winner of the Junction Connected 2020 Partner Challenge.
I am very passionate about the field of AI and Natural Language Processing, as I am convinced that it will continue to have a growing positive impact on our society by empowering human beings to explore their full potential and use AI tools to solve the most demanding challenges of our time.

Check out my Machine Learning Blog on Medium: https://oleg-borisov.medium.com/

I am currently open to job offers.
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Work Experience and Projects
NLP Consultant at PwC Switzerland
Jan 2021 - to date

Consultant in the Digital Intelligence team focusing on Cloud Intelligent Automation. Developed various intelligent RPA solutions applying best practices of AI. Contributed to the creation of an NLP practice within the Digital Intelligence team by providing research-based insights.

GDPR Verifier
Nov 2020

Winner of the Junction Connected Partner Challenge. Created an Artificial Intelligent bot that exposes GDPR deficiencies in companies’ privacy policy documents. The solution leverages the latest Deep Learning technologies and advancements in Natural Language Processing to analyze relevant documents and to assess their GDPR compliancy on a scale from 0 to 100%.


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Master Thesis Project
Oct 2019 – June 2020

The project involved the creation of a novel Conversational Information Retrieval system which drastically improved the relevance of retrieved documents by 70%. In such a system, a computer asks navigational questions to a user, in case the formulated query is ambiguous and might refer to different topics (for example the query “bass” might refer to a fish or a music instrument).


KPMG Ideation Challenge
Nov 2019 – Feb 2020

Creating and implementing business ideas, focusing on the challenge of "How to utilize advanced analytical and cutting-edge techniques to give clients back the gift of time?". Development of a phone application with the aim of identifying skin diseases using Image Processing and Machine Learning approaches. Reached the Swiss National stage finale.

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Internship at IDSIA
Jul 2019 – Sep 2019

Internship project focused on creating a Driving Simulator to train new drivers in driving schools. Mainly worked on the introduction of intentional errors to the system using Wiener Process with the goal to simulate situations such as distraction of the driver, over- or underestimation of speed or steering. Additionally, introduced a speed controller using Neural Network to adjust the car's velocity depending on the road's curvature.

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Bachelor Thesis Project
Feb 2018 – Jun 2018

Project targeted on creation of a Machine Learning algorithm for the identification of Deceptive Online Opinions on the example of hotel reviews retrieved from Booking.com and TripAdvisor. The research involved the Ensemble Learning approach which combined several Machine Learning algorithms, leading to a 90% accuracy of the system, which is a 5% improvement over the previously known research solutions
Internship at Objective Software
Jun 2017 – Aug 2017

Internship project related to the speed control of autonomously driving cars. Mainly worked on frontend development and used the react native framework to create an iOS/ Android app that sends user entered data to a server and receives updated information from the Backend. On the basis of this data, the autonomous car can then adjust its position and speed to reflect current conditions.

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JacobsHack!
Oct 2016

Project in the course of the hackathon JacobsHack! 2016 using Amazon Alexa. Skills were added to Amazon Alexa with the use of Facebook's API, connecting Amazon Alexa with Facebook, creating an enhanced user experience
Education
MSc Artificial Intelligence
University of Lugano
2018 – 2020

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Semester Abroad at School of Engineering and Applied Science
University of Pennsylvania
Fall 2017

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BSc Intelligent Mobile Systems (Robotics)
Jacobs University
2015 – 2018

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Technical skills
○ Python (7 Years)
○ MATLAB (3 Years)
○ C/C++ (2 Years)
○ Natural Language Processing (4 Years)
○ Robotic Operating System (6 Months)
○ React Native (1 Year)
○ Tensorflow/PyTorch (3 Years)
○ Tableau (1 Year)
○ OpenCV (1 Year)
Biography
I was born and raised in Saint-Petersburg, Russia. Since a young age, I am interested in how things work and I was very eager to dive into the world of Robotics after graduating from high school.

My Bachelor's degree program in Intelligent Mobile Systems provided me with the amazing opportunity to learn about interesting topics such as Computer Science, Electrical Engineering and Physics.

After completing an exchange semester at the Ivey league University of Pennsylvania, my interest for Artificial Intelligence (AI) and Machine Learning was sparked.

Following a transdisciplinary approach in my studies allows me to broaden my horizon and also learn about different fields such as Economics, Finance and Bioinformatics.

Outside of my studies, I enjoy traveling hiking, and snowboarding.
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