Hi, I am Annamaria!

About me

I am an experienced Data Scientist with more than 5 years experience of working in Finance and Innovation. After having experienced working on big datasets mainly with Excel in my financial roles, I wanted to learn more about efficient solutions to handle these kind of data, which is why I decided to further educate myself and participate in an intense Data Science Bootcamp.

In my previous roles in Finance, I often felt underchallenged, so I started to look into Data Science courses/programmes/anything that would enrich my knowledge. After having completed multiple self-analyses, I knew myself enough to know that I need a vibrant, active environment to thrive in whatever I am doing. So that is what I am still looking for right now and also that is why I have chosen to complete an intense bootcamp to collect as much knowledge and ideas as possible like a sponge. I learned throughout the years that I feel the most fulfilled when I am challenged to find the most appropriate solution to a certain problem. Being a Data Scientist in Condé Nast´s Innovation Team has proven me that this profession gives my the exact fulfillment I need. By the way, check out a selection of my favorite projects.

Here you can find my work experience and education which contain all the important professional facts about me, but what you cannot find is that I am a great team-worker, I am percise and whatever tasks I get assigned to, I always keep the deadlines and execute them responsibly. I am a passionate person who uses her passion to help others and participate in social projects. I am organised which I had to learn while moving around the world, taking care of all the organisational things while already working full-time. I am looking forward to hearing from you and I would be very glad if I had the opportunity to schedule an interview with you where I can tell you more about my strenghts and experiences.

Projects

1 - Keyword Clustering (for Conde Nast)

a clustering tool using NLP, Python, GCP to reduce approximately 10 million keywords into a manageable number of topic clusters. Visualization was made with Looker (earlier DataStudio). The script is "under construction" and yet to be made public.

2 - Quotes for your Posts

an API using datasets of images and quotes to find the closest matching quotes to the images (using Deep Learning and Machine Learning models). We were a team of 4 Data Science students with me as team lead that worked on this project within a time period of 2 weeks. My 10-minute long presentation can be found here and the repo here.

3 - Prestweets

A project to visualize how often, how objective and how positive/negative different heads of states are tweeting. Tried out various NLP models to show the likelihood of a new tweet being from a certain Head of State. Data Source: Twitter, using snsscrape. Type of analysis: Sentiment analysis of tweets for objectivity and negativity of tweets using TextBlob. To see the repo, click here.

4 - Olist exploratory data analysis

Data exploration of db containing 100.000 orders from the Brazilian eccomerce business Olist. Dataset was sourced from kaggle . Packages used: numpy, pandas, matplotlib. Repo can be accessed here.

5 - Django website for the Bayerisch-Ungarisches Forum e.V.

As I am Board Member for Youth Engagement, Online Presence and - Communication of the Bayerisch-Ungarisches Forum association and I have been given the opportunity to redesign their website and newsletter as they needed a "fresher" look to attract younger Bavarians and Hungarians living in Bavaria to join the association while also ensuring it remains easily usable for the elderly. You can visit their website here.

Work experience & education

(in chronocogical order)

Data Scientist in Audience Innovation

Condé Nast Germany GmbH (Munich) | 2022 - 2023

development of a clustering tool (NLP, Python, GCP) to reduce approximately 10 million keywords into a manageable number of topic clusters; visualization of clustering results using Looker and DataStudio; continuous optimization of the clustering tool using Dask, Pickles, and VM optimization; creation and management of various GCP VMs; further development and optimization of a recommendation tool created by the Audience Innovation Team for thematic inspiration of editors; conducting data imports and exports using BigQuery, Databricks, and Mode; efficient data archiving on GCP; extensive research on NLP and memory optimization; supporting the Audience Innovation Team on data science-related questions

Data Science Teaching Assistant

Le Wagon (Munich) | 2022 - (part-time)

Basic Python & SQL, Statistics, Probability, Linear Algebra, Statistical inferences, Machine Learning

Data Science Bootcamp - Student

Le Wagon (Munich) | 2022

Basic Python & SQL, Data Analysis, Decision Science, Communication, Machine Learning, Deep Learning, Data Engineering

Credit & Collection Specialist

Getty Images Deutschland GmbH (Munich) | 2019–2021

German Withholding Tax project (reconciliations, finding external and internal WHT solutions (resolution for more than 5 million euros of WHT) - mainly working with Microsoft Excel and Salesforce; solutions for the German VAT rate change due to Covid; participating in projects of reducing costs

Junior Revenue Cycle Analyst

Paramount Pictures Germany GmbH (Munich) | 2017–2019

development projects to improve daily processes within the Finance Team - mainly working with Microsoft Excel and SAP; cash application functions for PPG; reconciliation of clients’ accounts; invoicing

Temporary Revenue Cycle Analyst

Paramount International Home Media Distribution Group /Viacom International Hungary Kft. (Budapest) | 2016 - 2017

reconciling Netflix’s and Amazon’s accounts; adhoc reconciliation projects for big client groups - mainly working with Microsoft Excel; documenting processes handled within the division and training new employee; researching client and internal queries which can require coordination with various divisions

Internship

Hungarian Research Institute of Canada (Toronto) | 2015

Internship

Collegium Hungaricum Berlin | 2015

BA in Politics and Public Administration

University of Konstanz | 2013 - 2016

Strong focus on Statistics/Mathematics and Political Analytics

Contact

• Facebook
• Instagram
• GitHub
• LinkedIn

Elements

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