Dimitra Karamperi
Primary SEO Data Analyst for a Global Consumer Electronics Account at Baresquare
Thessaloniki, Greece

Data Analyst || Cloud Enthusiast || Digital Analytics Developer || Technical Translation/Localization Expert || Data Science Learner

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Jupyter Notebook
Jupyter Notebook
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List your work history, including any contracts or internships
3 years 7 months
Thessaloniki, Central Macedonia Current workspace
Currently Dimitra Karamperi supports the Baresquare

Dimitra Karamperi's scores will be added to this company.

Primary SEO Data Analyst for a Global Consumer Electronics Account
Dec 2021 - Present (2 years 6 months)
➤ Data Analysis (Excel | Google Sheets | Adobe Analytics)
➤ Search Engine Optimization (SEO) Operations
➤ Task Automation with Google Apps Script/Javascript
➤ Project | Task Management
➤ Working Languages: English, Greek
➤ Communication with technical & non-technical stakeholders
Data Analyst/Digital Analytics Developer
Oct 2020 - Mar 2022 (1 year 5 months)
● Data Analysis (Google Sheets | Excel | Adobe Analytics)
● Direct Communication with the client, both for business-as-usual &
ad hoc requests of either quantitative or qualitative nature
● Internal communication with both data developers/engineers &
non-technical stakeholders
● Draft presentation slides for meetings with external consultants &
the client
● Task Automations with Google Apps Script/JavaScript: reduced the
time spent on manual tasks by at least 10%
● Digital Marketing - Search Engine Optimization (SEO) Operations,
Technical Audits
● Creating/Managing marketing tags for a Global Consumer
Electronics Account websites via Tealium iQ, a Tag Management
System, using JavaScript & jQuery
excel data analysis google apps script regex sql python javascript jupyter notebook
European Parliament
Feb 2019 - Feb 2020 (1 year)
Brussels, Belgium
Administrative Manager/Geographical Coordinator
As a geographical coordinator, I was responsible for 8 Liaison Offices in Member States. My main tasks were both in the fields of financial supervision and project management:
● Evaluating the annual programming of actions and follow-up on the implementation of the yearly work program in a number of member states as geographic desk
● Drafting of analysis notes and instructions to the EP Liaison Offices, providing advice to the Authorising Officer on policy and administrative questions
● Follow-up on horizontal files and inter-service matters, such as the cooperation with other EP services for questions related to the Liaison Offices
Dimitra Karamperi
Aug 2002 - Jan 2019 (16 years 5 months)
Thessaloniki, Greece
Technical Translator, Transcreator, Project Manager, Proofreader
● Lead Translator of the Greek team dealing with the translation of a leading finance/HR/CRM software
● Technical Translation, Localization, Project Management Services (English | French into Greek)
● 6,450,000+ translated words from English (~80%) & French (~20%) into Greek
● 100+ satisfied companies/translation agencies & hundreds of individual clients
SDL Trados SDL Idiom Technical Localization Transit NXT Technical Translation
Add some compelling projects here to demonstrate your experience
Optimizing an ML Pipeline in Azure
Dec 2020 - Dec 2020
I built and optimized an Azure ML pipeline using the Python SDK and a custom Scikit-learn Logistic Regression model. The goal was to optimise the hyperparameters of this model using HyperDrive and then use Azure AutoML to find an optimal model using the same dataset, so that I can compare the results of the two methods.
azure azure machine learning auto ML HyperDrive
Operationalizing Machine Learning
Dec 2020 - Jan 2021
This project is formed by two parts:
- The first part consists of creating a machine learning production model using AutoML in Azure Machine Learning Studio, and then deploy the best model and consume it with the help of Swagger UI using the REST API endpoint and the key produced for the deployed model.
- The second part of the project is following the same steps but this time using Azure Python SDK to create, train, and publish a pipeline via a Jupyter Notebook.
Azure machine learning AutoML azure devops jupyter notebook scikit learn python swagger
Using Machine Learning to Predict Survival of Patients with Heart Failure
Jan 2021 - Feb 2021
The current project uses machine learning to predict patients’ survival based on their medical data.
I create two models in the environment of Azure Machine Learning Studio: one using Automated Machine Learning (i.e. AutoML) and one customized model whose hyperparameters are tuned using HyperDrive. I then compare the performance of both models and deploy the best performing model as a service using Azure Container Instances (ACI).
Azure Machine Learning AutoML HyperDrive Azure Container Instances ACI

This section lets you add any degrees or diplomas you have earned.
University of Macedonia, Thessaloniki, Greece
Bachelor, 4-year, Economics
Oct 1999 - Dec 2014
1999-2002 & 2013-2014
Aristotle University of Thessaloniki
Bachelor, 4-year, Physics
Oct 1992 - Jul 1997
Exact Sciences, Physics
Machine Learning Engineer with Microsoft Azure Nanodegree, Computer Science
Oct 2020 - Feb 2021
The objective of this program is to build and deploy sophisticated machine learning solutions using popular open source tools and frameworks (like Jupyter Notebook & ScikitLearn), and gain practical experience running complex machine learning tasks.
Business Analytics, Data Analytics
Mar 2022 - Aug 2022
The objectives of this program were:
- Gain foundational data skills that apply across functions and industries
- Collect and analyze data, model business scenarios
- Build models with Excel, query databases using SQL, and create informative data visualizations with Tableau
- Communicate the findings with SQL, Excel, and Tableau
Front-End Development Nanodegree
Aug 2018
Intro to Programming Nanodegree
Jun 2020
AWS Machine Learning Foundations Course
Jul 2020

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