King Quantic School of Business and Technology

London Area, United Kingdom
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About

As a Data Scientist and an AI/ML Engineer with ~6 years of experience, Ioannis has a…

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Volunteer Experience

  • BrainStation Graphic

    Industry Speaker

    BrainStation

    - 1 month

    Science and Technology

    Invited to share my expertise in the Data Science and Artificial Intelligence Industry helping young minds and working professionals to start their journey in the industry.

  • DataTalksClub Graphic

    Panelist

    DataTalksClub

    - 1 month

    Science and Technology

  • Rework AI Graphic

    Guest Speaker

    Rework AI

    - 1 month

    Science and Technology

    Delivered a presentation titled ”Data Science Operations Model ‑ From Ideation to Scaled Product Delivery” to Data Science leaders at the MLOps Summit annual conference in London.

  • AI Summit Graphic

    Guest Speaker

    AI Summit

    - 1 month

    Science and Technology

    Delivered a professional development workshop titled "An Introduction to Data and Model Drift for Deployed Models" at the AI Summit London annual conference, providing attendees with valuable insights and strategies for effectively managing deployed models in the real world.

  • IEEE Graphic

    Participant

    IEEE

    - 1 month

    Science and Technology

    "MINeD Graphs"
    Graphs from time-resolved functional brain connectomics

  • ThinkYoung Graphic

    Attendant

    ThinkYoung

    - 1 month

    Education

    The Entrepreneurship School aims to bridge the gap between entrepreneurial education and innovative learning. For a whole week I was challenged to create with my team a business plan of our entrepreneurial idea including its promotion strategy, the revenue streams and the financial plan and pitch it to a panel of judges. Simultaneously I had the opportunity to network and learn from young entrepreneurs in different fields and participate in various interactive workshops that deepened my…

    The Entrepreneurship School aims to bridge the gap between entrepreneurial education and innovative learning. For a whole week I was challenged to create with my team a business plan of our entrepreneurial idea including its promotion strategy, the revenue streams and the financial plan and pitch it to a panel of judges. Simultaneously I had the opportunity to network and learn from young entrepreneurs in different fields and participate in various interactive workshops that deepened my understanding of the business startup field and armed me with the relevant skillset and knowledge.

  • AIESEC Graphic

    Participant

    AIESEC

    - 1 month

    Education

    AIESEC x Youth Today: "Take the risk"
    Workshops and lectures to promote youths to take action along with the highlighting of important milestones in order to achieve their goals.

  • TEDxUniversityofMacedonia Graphic

    Participant

    TEDxUniversityofMacedonia

    - 1 month

    Education

    Subject:Gravity of Thoughts
    Extra workshops attended: LeadCompass by F.Matsigou, Working Environment conflicts by
    G.Kiziridou

  • AEGEE-Europe Graphic

    Member

    AEGEE-Europe

    - 11 months

    Economic Empowerment

  • AEGEE-Europe Graphic

    Helper

    AEGEE-Europe

    - 3 months

    Arts and Culture

    Thessaloniki Summer University "Smells Like Greek Spirit"
    Subject: Greek Culture

  • Let's Do It Greece Graphic

    Participant

    Let's Do It Greece

    - 1 month

    Environment

    "Let's Do It - Greece" in association with the University of Ioannina for the
    volunteer act of cleaning the University of Ioannina

  • AEGEE-Europe Graphic

    Participant

    AEGEE-Europe

    - 2 months

    Politics

    One week convention "YVOTE 2014" of interactive workshops, lectures from EU parties, training and seminars regarding EU politics in order to awake political awareness
    Subject: Austerity VS. Solidarity
    Host: Aegee - Berlin

  • AEGEE-Torino Graphic

    Participant

    AEGEE-Torino

    - 2 months

    Arts and Culture

    Torino Summer University:Use your Tongue
    Subect: Italian lessons (Non - Formal Education) and Italian Culture

Courses

  • Algebraic Structures

    ΜΑΥ422

  • Analytic Geometry

    ΜΑΥ223

  • Applied Statistics

    MA321

  • Approximation Theory

    ΜΑΕ645

  • Complex Functions

    ΜΑΥ611

  • Data Science and Decision Making

    CE888

  • Data Structures

    ΜΑΕ541

  • Differential Calculus I/II/III/IV

    ΜΑΥ111/211/311/411

  • Differential Equations

    ΜΑΥ514

  • Differential Geometry

    ΜΑΥ522

  • Economics

    ΜΟΙ711

  • Education and Social Inequalities

    ΜΕΤ201

  • Euclidean and non-Euclidean Geometries

    ΜΑΕ727

  • Information Retrieval

    CE706

  • Linear Algebra I/II

    ΜΑΥ121/122

  • Linear Programming

    ΜΑΕ631κ

  • Machine Learning & Data Mining

    CE802

  • Mathematical Analysis

    ΜΑΥ112

  • Modelling Experimental Data

    MA317

  • Natural Language Processing

    ΜΑΕ845

  • Number Theory

    -

  • Numerical Analysis

    ΜΑΥ341

  • Parametric Statistics - Categories Data

    ΜΑΕ835

  • Programming in Python

    CE705

  • Propabilities

    ΜΑΥ331

  • R Programming

    -

  • Real Analysis

    ΜΑΕ511

  • Set Theory

    ΜΑΕ714

  • Statistical Methods

    MA318

  • Statistics

    ΜΑΥ431

  • Stohastic Processes

    ΜΑΕ532

  • Symbolic Mathematics

    ΜΑΕ644

  • Theory and Analysis of Algorithms

    ΜΑΕ641

  • Topology

    ΜΑΥ413

  • Transformation Geometry

    -

Projects

  • AI Career Advisor Agent

    -

    A production-ready multi-agent system for personalised career transition guidance. Built with Google's Agent Development Kit (ADK) as part of the AI Agents intensive program.

    Github Repo: https://github.com/ioannismesionis/ai-agent

  • Recommender Systems with Collaborative Filtering

    -

    Extensive Implementation of recommender systems for the famous MovieLens 100K dataset. As part of the project, I have implemented various techniques ranging from collaborative filtering all the way to contextual-awareness recommender systems (with time as context) to recommend movies for different viewers. More specifically, the project contains the implementation of user-based recommendations implementing memory-based algorithms (e.g. k-nn algorithm), model-based approaches and Factorisation…

    Extensive Implementation of recommender systems for the famous MovieLens 100K dataset. As part of the project, I have implemented various techniques ranging from collaborative filtering all the way to contextual-awareness recommender systems (with time as context) to recommend movies for different viewers. More specifically, the project contains the implementation of user-based recommendations implementing memory-based algorithms (e.g. k-nn algorithm), model-based approaches and Factorisation Machines using time as context.

  • Pay Per Click (PPC) Optimisation

    -

    The objective of the project was to maximise the amount of GBP spent on PPC advertising through the identification and optimisation of PPC campaign activation based on ad performance. The PPC initiative significantly increased revenue by redirecting marketing funds formerly spent on ineffective PPC flights (flights at capacity) to profitable PPC ads (available seats).

  • Model Monitor (Concept and Data Drift)

    -

    Developed a PoC of detecting concept and data drift for a deployed machine learning model. The implementation is using the "evidentlyai" python library from Evidently AI.

  • Customer Micro-Segmentation

    -

    The purpose of the project was to harness the power of unsupervised learning using principal component analysis (PCA) and the K‐means algorithm to identify the underlying groups of people that consist EasyJet’s clientele. The insights would enable EasyJet to capture early signs of recovery of groups due to COVID‐19 and define the necessary actions to increase the number of bookings coming in through marketing campaigns.

  • Mall Customer Segmentation Data

    -

    You own a supermarket mall and through membership cards, you have some basic data about your customers like Customer ID, age, gender, annual income and spending score. Spending Score is something you assign to the customer based on your defined parameters like customer behaviour and purchasing data.

    Problem Statement You own the mall and want to understand the customers like who can be easily converged [Target Customers] so that the sense can be given to the marketing team and plan the…

    You own a supermarket mall and through membership cards, you have some basic data about your customers like Customer ID, age, gender, annual income and spending score. Spending Score is something you assign to the customer based on your defined parameters like customer behaviour and purchasing data.

    Problem Statement You own the mall and want to understand the customers like who can be easily converged [Target Customers] so that the sense can be given to the marketing team and plan the strategy accordingly.

    See project

  • Predictive Modelling For Children Entering Care

    -

    Children being abused in their parental environment live under uncertainty for long periods of time. County Councils offer their services to assist these children when it is in children's best interest. As a research analyst, I was in charge of cleaning raw datasets to get insights so as to better direct social workers of County Councils for severe cases. To achieve that, predictive modelling and machine learning techniques were implemented such as Logistic Regression, SVM, Random Forrest to…

    Children being abused in their parental environment live under uncertainty for long periods of time. County Councils offer their services to assist these children when it is in children's best interest. As a research analyst, I was in charge of cleaning raw datasets to get insights so as to better direct social workers of County Councils for severe cases. To achieve that, predictive modelling and machine learning techniques were implemented such as Logistic Regression, SVM, Random Forrest to create an end to end model from scratch all the way through the validation of the models.

Honors & Awards

  • The Lab Games

    CrossFit

    Participating athlete and finalist in "The Lab Games" in CrossFit
    Place: 9th/80

  • Crossfit National Competition

    CrossFit

    Participating athlete in "Cross - Battle"
    Place:76th/306

  • First Place in the military competition of 8000meter

    Greek Army

  • Graduation from the military police force with the rank of Sergeant

    Greek Army

Languages

  • English

    Professional working proficiency

  • Greek

    Native or bilingual proficiency

  • Spanish

    Elementary proficiency

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Websites

Portfolio
https://ioannismesionis.github.io/

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