Stefano Ciotti

Data Scientist-fraud Detection - Rpa Developer at 3a Informatica

Based in Genzano di Roma, Italy

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Seniority

Staff

Department

Other

Location

Genzano di Roma

Industry

IT Services and IT Consulting

Company size

39

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Email

1 credit

s•••••••@3ainformatica.it

Phone

5 credits

+39 ••• •••• ••••

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Background

About Stefano Ciotti

Currently, as a Data Scientist, RPA (UiPath, Robocorp) Certified, and Python Developer I work as a Data Scientist at 3A Informatica Company. My role consists of defining a project whose item is: Building a predictive system to prevent “Financial Fraud” behaviors. Previously, as a Data Scientist/Analyst, RPA Developer Certified, and Python Developer: E-mails/text classification embedding Python Coding into RPA projects combining Unsupervised and Supervised ML Models (NLP, MiniBatchKMeans Clustering, MLP Classifier, Random Forest, Gradient Boosting Classifier, Gaussian Naive Bayes Classifier, Multinomial Naive Bayes Classifier, Support Vector Machines) Interactive robots between humans and Web Applications. Moreover, I worked as a data scientist at Joint Services Italy, where my activities were: Analyzing data in different huge archives. Redesign databases with new entities and relationships. Define appropriate scenarios, metrics, and KPIs to - classify subjects as potential fraudsters- build classification and predictive models via ML approaches Processes and information flow analysis of INPS archives (National Social Security Institute). Logical and physical modeling of archives, dictionaries definition, and entities. Hive, R, RStudio, Python, PythonR, and SparkR. Also SQL Server, Oracle, Tabular, Power BI. Microsoft R Client, olapR, and RevoScalaR libraries aimed at interfacing big-data environments and hypercubes.and still, I have gained a long experience in various roles such as Statistician, Data Analyst, and Reporting at British Telecom Company. About my activities and responsibilities: Data retrieval (structured and unstructured) and from different sources. Data and text mining, data cleaning, consistency checks, and correlative analysis. Statistical analysis, predictive/prescriptive analysis, data modeling. KPIs development, and performance analysis (SLA). FTE optimization based on ERLANG metrics. CRM support: customer segmentation on a behavioral basis for pricing formulation. Trouble ticketing analysis. Customer CPE surveys aimed at telecommunication services optimization. Customer surveys oriented to Customer Satisfaction optimization (NPS). Security Support: intrusion searching on the Internet. International projects experience. Passion, excellent interpersonal relationship skills, professional integrity, creativity when required, attention to people, ability to work in a team and in multinational and multicultural environments complete my personality.

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