Charalambos Kanellas
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Charalambos Kanellas Email & Phone Number

Ph.D | Algorithmic Pricing Expert | Data Scientist at OilX
Location: Pangaio, Eastern Macedonia and Thrace, Greece 7 work roles 4 schools
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Role
Ph.D | Algorithmic Pricing Expert | Data Scientist
Location
Pangaio, Eastern Macedonia and Thrace, Greece
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Quick answer

Charalambos Kanellas is listed as Ph.D | Algorithmic Pricing Expert | Data Scientist at OilX, a with 20 employees, based in Pangaio, Eastern Macedonia and Thrace, Greece. AeroLeads shows a matched LinkedIn profile for Charalambos Kanellas.

Charalambos Kanellas previously worked as Data Scientist at Oilx and Co-Founder at Optforai Data Analytics. Charalambos Kanellas holds Doctor Of Philosophy (Ph.D.), Solar Astrophysics from University Of Oslo (Uio).

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OilX

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Profile bio

About Charalambos Kanellas

Charalambos (Harry) holds a Ph.D from the Institute of Theoretical Astrophysics at the University of Oslo. He loves data analysis and the use of statistical tools and machine learning algorithms for the deduction of conclusions. His studies in science and passion in statistics in combination with his love in programming languages help him to solve problems. He also believes in creating value and team-work in friendly and modern environment. Loves to work anytime, anywhere.

Listed skills include Astrophysics, Data Analysis, Scientific Computing, Business Strategy, and 32 others.

Current workplace

Charalambos Kanellas's current company

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OilX
Oilx
Ph.D | Algorithmic Pricing Expert | Data Scientist
london, london, united kingdom
Website
Employees
20
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7 roles

Charalambos Kanellas work experience

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Data Scientist

Current
Apr 2024 - Present

Co-Founder

Greece

- Sketching and developing machine learning solutions (propensity modeling, ranking, recommender systems)- Implementing Online Experimentation and Multi-Arm-Bandits algorithms for strategy evaluation, exploration and exploitation.- Establishing and maintaining strong relationships with clients, ensuring high satisfaction and repeat business- Oversaw the successful delivery of projects, meeting client expectations and deadlines.- Successfully secured initial clients and projects.

Oct 2022 - Aug 2024

Data Scientist

Self-Employed

Greece

- Led R&D efforts in design, deploy and scale multiple ML algorithmic pricing models (10%-30% uplift in profit)- Performed market analysis and competitive benchmarking- Conducted multible A/B tests- Ttraffic segmentation and objective maximisation therein- Sketched and conducted dynamic exploration-exploitation strategies via multi-arm-bandits (contextual MAB)- Devised new Key Performance Indicators (KPIs)- Conducted performance analyses at each in the customer funnel- Sketched and developed multiple ETL processes- Model deployment

Jan 2022 - Dec 2023

Data Scientist

Athens, Attiki, Greece

- R&D production-level machine learning solutions pertaining to price optimization- R&D of ranking methods.- Analysis of surveillance data establishing competitive yet profitable pricing strategies, contributing to a more strategic approach in the market.- Applied machine learning models for customer clustering, identifying distinct personas and focusing on volume- or profit-generating segments.- Utilized machine learning models for demand prediction, enabling the identification of hourly abnormal performance patterns.- Spearheaded a cost-reduction project, delivering a service that scores searches based on the propensity of being booked, incorporating machine learning modeling techniques.- Maintain the in-house fraud prevention system for the internal fraud team, leveraging machine learning predictions to enhance security measures.- Developed a marketplace simulation used for identifying and testing the best-performing machine learning models through A/B testing.- Played a key role in optimizing the entire customer cycle (acquisition, maximization, retention) and contributed to Churn Modeling in Direct traffic through machine learning predictions.- Led experiment design, including A/B testing, to evaluate and refine various strategies and models.

Sep 2018 - Oct 2021

Ph.D In Solar Physics

Institute Of Theoretical Astrophysics

- Orchestrated numerous simulations, refining the existing C-based algorithm to generate 3D snapshots of the solar atmosphere, focusing on a multitude of variables. Leveraged the university's supercomputer infrastructure for computational efficiency.- Executed comprehensive data filtering and analysis of substantial datasets, demonstrating adeptness in managing and analyzing big data.- Modified a tumor detection-segmentation algorithm, optimizing its functionality and performance to discern solar events effectively.- Conducted in-depth research through the systematic study, summarization, and organization of hundreds of scientific papers and bibliographic sources, contributing to the foundation of academic projects.- Assumed the role of a Teacher Assistant for four semesters, offering crucial support to professors and enhancing the academic achievements of students, specializing in computational programming.- Spearheaded and executed research endeavors, resulting in the publication of three papers (I, II, III) as a first author in one of the most esteemed journals in astrophysics.- Conceptualized and presented impactful posters at various scientific venues, proficiently conveying research findings to diverse audiences.

Oct 2014 - Sep 2018

Data Analyst & Programmer For Comesep Program

Brussels Area, Belgium

During my stay, I created a computer program to automatically link several lists of solar events created at ROB. The program uses temporal and spatial rules to link the different events, and it can be run in real time. This summer job was performed in collaboration with Prof. Stefaan Poedts from KU Leuven.- Spearheaded the establishment of a real-time Extract, Transform, Load (ETL) process in IDL, orchestrating the extraction of data from two public databases for immediate analysis.- Innovatively designed and implemented a feature extraction and data analysis process in IDL, demonstrating proficiency in leveraging the language for efficient data manipulation.- Engineered a streamlined real-time process that not only detected events promptly but also generated flags and populated a database in response, enhancing the overall responsiveness of the system.- Conducted rigorous statistical analyses on the observed phenomena, contributing to a deeper understanding of the underlying patterns and trends.- Reported and presented results derived from the data analysis, providing valuable insights to stakeholders and fostering informed decision-making.- Actively participated as a member in weekly meetups, engaging in collaborative discussions and contributing to the ongoing exchange of knowledge.

Aug 2013 - Sep 2013

Data Research Analyst

National Observatory Of Athens (Noa)

Athens,Greece

- Oversaw the development of an Extract, Transform, Load (ETL) process in MATLAB to facilitate the manipulation of raw images.- Applied signal filtering techniques to enhance the quality of raw data, ensuring the reliability and accuracy of subsequent analyses.- Conducted statistical analyses on extracted features, contributing valuable insights for decision-making and project advancement.- Regularly reported and presented results in collaborative meetups, fostering effective communication of findings within a team setting.- Actively participated as a member in weekly "journal club".

May 2012 - Jul 2012
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Colleagues at OilX

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4 education records

Charalambos Kanellas education

Doctor Of Philosophy (Ph.D.), Solar Astrophysics

I earn experience through my participation in seminars and activities related to solar physics. In addition, I gain skills through my.

Master Of Science (Msc), Astronomy And Astrophysics

Inrerest in space wrather, solar physics, and solar and magnetospheric plasma

FAQ

Frequently asked questions about Charalambos Kanellas

Quick answers generated from the profile data available on this page.

What company does Charalambos Kanellas work for?

Charalambos Kanellas works for OilX.

What is Charalambos Kanellas's role at OilX?

Charalambos Kanellas is listed as Ph.D | Algorithmic Pricing Expert | Data Scientist at OilX.

Where is Charalambos Kanellas based?

Charalambos Kanellas is based in Pangaio, Eastern Macedonia and Thrace, Greece while working with OilX.

What companies has Charalambos Kanellas worked for?

Charalambos Kanellas has worked for Oilx, Optforai Data Analytics, Self-Employed, Etraveli Group, and University Of Oslo.

Who are Charalambos Kanellas's colleagues at OilX?

Charalambos Kanellas's colleagues at OilX include Georgios Chatzikonstantinidis, George Pseiropoulos, Ioanna Papavergou, Dimitris Papavasiliou, and Athanasios Galatas.

How can I contact Charalambos Kanellas?

You can use AeroLeads to view verified contact signals for Charalambos Kanellas at OilX, including work email, phone, and LinkedIn data when available.

What schools did Charalambos Kanellas attend?

Charalambos Kanellas holds Doctor Of Philosophy (Ph.D.), Solar Astrophysics from University Of Oslo (Uio).

What skills is Charalambos Kanellas known for?

Charalambos Kanellas is listed with skills including Astrophysics, Data Analysis, Scientific Computing, Business Strategy, Image Processing, Research, Statistics, and Numerical Analysis.

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