
Lorenzo Ceccomancini
Training Camp Student

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About me
Data Consultant
Education

Sapienza Università di Roma
-Bachelor's degree Computer Science
Sapienza Università di Roma
-Master's degree Data Science
Experience

Poste Italiane
Jul 2020 - Jul 2020Training Camp StudentTopics:“We want you to imagine and propose an innovative solution, or more integrated solutions, for Poste Italiane in the wide field of Smart City, based both on the big data assets already available in Poste Italiane and on the potential big data generated by further future innovative solutions.”The solution must be described together with a business case that highlights:· Main Assumptions and Rationale· Underlying technical logics· Analysis of the economic feasibility and the principal service costs of the solution Show less

Google
Sept 2020 - Sept 2020Training Camp StudentSpecific techniques learned:- image representation with convolutional neural networks (CNNs)- building recurrent neural networks with LSTM and GRU units- generating natural language image descriptions (=image captioning)- representing words and sentences with vector embeddings (Word2Vec, GloVe, and BERT)

TechQuartier
Mar 2021 - Apr 2021Impact Challange partecipantWe have developed a machine learning-based tool to manage garbage collection.We won the best technology implementation award.

Sapienza Università di Roma
Feb 2022 - Aug 2022Research Internship
Syskoplan Reply IT
Feb 2023 - Aug 2024ABAP Developer
CLUSTER REPLY
Sept 2024 - nowData Consultant
Licenses & Certifications
- View certificate

Impact Challange winner certifications
TechQuartierApr 2021 - View certificate

HackerRank Python Intermediate
HackerRankSept 2020
Honors & Awards
- Awarded to Lorenzo Ceccomancini4th /26 in the Google training camp competition - Sep 2020 The competition consisted in the development of an image search engine system.
- Awarded to Lorenzo Ceccomancini1st /12 in the Poste Italiane training camp competition - Jul 2020 The competition consist to propose an innovative solution, in the wide field of Smart City, based on the big data.
- Awarded to Lorenzo Ceccomancini1st /14 in an in class Kaggle competition - Jun 2020 The competition consisted in the prediction of the BPM of several songs given their temporal and frequency informations.
Languages
- enEnglish
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