Ivan Pagnossin Email & Phone Number
@digitalpages.com.br
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Who is Ivan Pagnossin? Overview
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Ivan Pagnossin is listed as Cientista de dados at Sigalei, a with 21 employees, based in São Paulo, Brazil. AeroLeads shows a work email signal at digitalpages.com.br and a matched LinkedIn profile for Ivan Pagnossin.
Ivan Pagnossin previously worked as Data Scientist at Sigalei and Data Scientist | Software Developer at Cagnotto & Pagnossin Serviços De Informática Ltda. Ivan Pagnossin holds Specialist, Computation Applied To Education, 97.3% from Universidade De São Paulo.
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About Ivan Pagnossin
I primarily work as a data scientist, programmer, and STEM professor (Science, Technology, Engineering, and Mathematics), in technical and leadership positions.I navigate well between technical and business areas (my focus is on Education, but I aim to expand), being capable of building entire Cloud solutions as well as developing teams.I am Bachelor, Master and PhD in Physics; a specialist on computing applied to Education from the University of São Paulo (USP), and professional programmer since 2001. Starting in 2017, I combined my academic background with my professional experience and began working as a data scientist and engineer.EXPERIENCE BY ROLE:- As a PROGRAMMER: 20 years of experience at companies Playax, USP and Eletropiezo.- As a DATA SCIENTIST and related roles: 14 years at Playax, USP, Digital Pages, Digital House and Proz Educação.- In LEADERSHIP positions: 9 years at USP, Digital House, Digital Pages and Proz Educação.- As a PROFESSOR: 7 years at USP, Univesp, Senac/SP, Fipen and Digital House.GitHub: github.com/irpagnossinLattes: http://lattes.cnpq.br/6688104156301227Versão em Português deste perfil: https://www.linkedin.com/in/irpagnossin/ptKEYWORDS: API · Exploratory analysis · Mathematical analysis · Data Lake · Data Warehouse · Dataviz · ETL/ELT · Statistics · Lakehouse · MLOps · Machine Learning · Modelling (mathematical, entity-relationship, multidimensional, predictive) · Research · Programming (object oriented, functional, matrix) · Simulation · Web scraping · Apache Airflow · BigQuery · Data mining · Docker · FastAPI · Flask · GCP · Git · Google Cloud Platform · Jenkins · Kubernetes · Looker · Looker Studio · MariaDB · NoSQL · Python · SQL · Scrapy · Terraform · dbt
Listed skills include Physics, Programming, Software Development, Operating Systems, and 37 others.
Ivan Pagnossin's current company
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Ivan Pagnossin work experience
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Data Scientist
CurrentData Scientist | Software Developer
CurrentMy company, through which I undertake various projects as a freelancer. Services provided are: data science; and software and courses development.CLIENTS- Intertox (intertox.com.br)- Atheva (atheva.com.br)- Instituto de Física da USP (if.usp.br)- Fundação de Apoio à USP (fusp.org.br)- Instituto de Pesquisa Eldorado (www9.eldorado.org.br)- Superintendência de Tecnologia da Informação da USP (sti.usp.br)- Eletropiezo Ind. e Com. Ltda.
Leader Of Data Engineering And Data Science
I inaugurated the data team, building the entire data pipeline for our cloud-based Data Warehouse (DW) solution on Google Cloud Platform (GCP), including self-service BI. I hired and trained the technical team (analysts and data scientists), established and implemented technical standards and technologies, and applied agile methodologies for team development and data projects. Concurrently, we worked on the company's data literacy, promoting the quality of data ingested by the DW and strategic thinking based on actionable insights. We also developed innovation projects, creating classical Artificial Intelligence microservices to enhance the employability of our students; and Learning Analytics projects with gamification.HIGHLIGHTS- Development of the data team.- Development of the Data Warehouse and Data Lake two-tier architecture with self-service BI and Continuous Deployment.- Alignment of metrics across areas with different objectives.- Creation of a collaborative extension of the RICE prioritization methodology.- 60% reduction in Cloud costs.TECHNIQUES AND TECHNOLOGIES- Google Cloud Platform (GCP)- BigQuery- dbt- Python, Jupyter, Numpy etc- Terraform- Looker Studio- Apache Airflow- FastAPI- MongoDB- Kubernetes
Coordinator Of Data Science Courses
Digital House offers short courses in digital technologies. I coordinated the offering of several classes for the "Data Analytics" and "Data Science" courses. I hired teachers and enhanced the curriculum for these courses, including creating the semi-presential version based on active learning methodologies for the "Data Analytics" course (including the transition to online due to the COVID-19 pandemic). I also developed a dedicated data pipeline for these courses to monitor key operation indicators.HIGHLIGHTS- Restructuring of the teaching team.- Development of the semi-presential version of the Data Analytics course.- Creation of an exclusive data pipeline for data courses.- Restructuring of the curricula based on the DS-BoK competencies.- Participation in course promotion events.TECHNIQUES AND TECHNOLOGIES- Python- Web Scraping- Metabase- MariaDB
Professor Stem
Fipen is the university center within Anglo's educational system. I taught Physics (Mechanics, Thermodynamics, and Electrodynamics), Mathematics (Differential and Integral Calculus, and Linear Algebra), Statistics, and Metrology in the Production Engineering program. Additionally, I provided guidance to students for their final year projects.HIGHLIGHTS- Student mentoring.- Participation in evaluation boards.- Creation of online activities.TECHNIQUES AND TECHNOLOGIES- Moodle- LaTeX- Python
Data Scientist | Full-Stack Web Developer
Playax is a startup dedicated to provide useful insights about music consumption in Brazil to artists, producers, agencies etc. I work as a data scientist and web developer, gathering and analyzing data from social networks, streaming services, radio stations and Internet.HIGHLIGHTS- Implementation and optimization of a search engine based on Solr.- Use of Statistics to achieve campaign goals on X (formerly Twitter).- Optimization of website response time using a columnar database.TECHNIQUES AND TECHNOLOGIES- Google Cloud Platform (GCP)- Ruby- Web scraping- MariaDB ColumnStore- Python- Solr- R- Flask- Javascript- Vue- Jenkins
Professor Stem
Development of online activities for the following subjects in the undergraduate courses of Computer Engineering and Production Engineering:- Analytical Mechanics, 40 hours- Physics I, 80 hours
Data Analyst | System Development Analyst
I design and coordinate the development of a LMS (Learning Management System) geared to events (Experience API), aiming mobile platform and using numerical tecniques, such as Machine Learning algorithms and graph search, in order to provide adaptive learning and recomendation for students and professors.HIGHLIGHTS- Design, planning and development coordination of a LMS using agile metodologies.- Use of Snowplow, AWS Redshift and Looker for Business Inteligence (BI).TECHNIQUES AND TECHNOLOGIES- PowerBI- Looker- SQL- Redshift- Snowplow- Python- Web Scraping (Scrapy)
Tech Lead | Software Developer | Professor Stem | Researcher
I was responsible for (1) design learning objects (LO) of Physics and Mathematics of undergraduate level, (2) coordinate the LO development team, (3) apply these LO to online courses of USP/Univesp agreement, and (4) perform research about their use.RESULTS AND HIGHLIGHTS- I assembled, trained and coordinate a team of up to 9 people on development of LO.- I managed development of nearly 150 projects of LO to undergraduate courses of the agreement USP/Univesp.- I managed development of nearly 50 projects of LO for electronic whiteboards of 26 public schools on Hortolândia/SP. According to Unesco (see magazine Época ed. 683, of June 18, 2011), this project helped enhance teaching and learning of Mathematics and Portuguese at elementary and high school levels.- I introduced Scrum to development of LO. This initiative was presented in congresses of the area. It is now part of the graduate course on instructional design of Senac, offered nationwide. On 2016, it was published on the book "Design instrucional para cursos online”, organized by Profa. Dra. Vani Kenski.- 1 article published on a national periodic (Qualis CAPES A2); 2 articles published on congress annals.PROJECTS- Licenciatura em Ciências. Partnership between USP and Univesp: licenciaturaciencias.usp.br.- Redefor (Rede Nacional de Formação Docente). Partnership between USP and Secretaria da Educação do Estado de São Paulo (SEE/SP): redefor.usp.br.- Aulas Interativas. Partnership among USP, SEE/SP, Dell Computadores do Brasil and Instituto Eldorado: aprenderemrede.if.usp.br.- Usando LaTeX; pensando TeX. Online course about LaTeX, offered by Superintendência de Tecnologia da Informação of USP: goo.gl/Wv7Vay.- TIDIA-Ae. Projeto temático da USP com financiamento Fapesp: tidia-ae.usp.br.
Professor Stem
In this position I was responsible for teaching physics to students of the first two years of the undergraduate engineering courses of Escola Politécnica at Universidade de São Paulo (USP).HIGHLIGHTS- Use of Jupyter notebook and Geogebra for simulations, and classroom experiments to engage students.- Use of experiments in the classroom.- Use of numerical simulations.- Learning analytics with Python and Pandas.TECHNIQUES AND TECHNOLOGIES- LaTeX- Python with Jupyter and Numpy
Professor Stem
I planned and developed the course on the production of digital Learning Objects (LO) and e-learning standards (SCORM, xAPI, etc.), part of the graduate course in Instructional Design at Senac/SP; I also mentored the students in this course.HIGHLIGHTS- I created an online course offered at the state level.
Student Researcher
I conducted basic experimental research on the quantum states of semiconductor heterostructures under cryogenic conditions, as well as research on the application of these states in infrared photodetectors based on quantum dots.HIGHLIGHTS- Published 3 articles in international scientific journals.- Improved the analysis method of the Shubnikov-de Haas effect. Available at: http://bit.ly/2lY7pQE- Developed scripts that accelerated data analysis by 50 times.TECHNIQUES AND TECHNOLOGIES- Superconducting coil (up to 15 tesla)- Optical characterization of samples using photoluminescence- Cryogenics- Vacuum technology- Lock-in amplifier- Scan microscopy (atomic force and tunneling)- Clean room- Litography- Microcal Origin (data analysis)
Software Developer
I developed several software solutions for interactive voice response (IVR) based on IBM DirectTalk technology for Windows, with the capacity to handle up to 360 simultaneous digital calls (unique in Brazil at the time). This system operated for 9 years, from 2001 to 2010, providing service to numerous banks and credit companies during that period.HIGHLIGHTS- Development of an IVR system used nationwide by numerous institutions in the financial sector for almost a decade.TECHNIQUES AND TECHNOLOGIES- REXX and Telephony-REXX- IBM DirectTalk- Windows NT- LaTeX
Cashier
Customer service in the area of social benefits from government (known in Brazil as FGTS) and cashier.HIGHLIGHTS- Digitized the inactive FGTS withdrawal request form, streamlining the service.- Developed skills in dealing with the public.
Student Researcher
Undergraduate research fellow with a scholarship from CNPq. I studied plasma formation in the Tokamak.HIGHLIGHTS- I was the first student of my class to obtain, in the first months as undergraduate, a fellow position with schollarship.
Electronics Technician
Internship to obtain the title of "Technical Assistant in Electronics". I repaired printed circuit boards of payphones.
Colleagues at Sigalei
Other employees you can reach at openlex.com.br. View company contacts for 21 employees →
Gileade Kelvin
Colleague at SigaleiCampina Grande, Paraíba, Brazil
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IE
Ivan Ervolino
Colleague at SigaleiSão Carlos, São Paulo, Brazil
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BD
Brina Deponte Leveguen
Colleague at SigaleiSão Carlos, São Paulo, Brazil
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MH
Matheus Henrique Alves Leal
Colleague at SigaleiCampina Grande, Paraíba, Brazil
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AC
Arlindo Campos
Colleague at SigaleiBoa Esperança, Minas Gerais, Brazil
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GS
Graciele Santos
Colleague at SigaleiItajaí, Santa Catarina, Brazil
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AM
Alexandre Martins
Colleague at SigaleiGreater São Paulo Area, Brazil
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Ivan Pagnossin education
Specialist, Computation Applied To Education, 97.3%
Phd, Physics Of Semiconductors
Msc, Physics Of Semiconductors
Bachelor, Physics, 85%
Technician, Electronics
Frequently asked questions about Ivan Pagnossin
Quick answers generated from the profile data available on this page.
What company does Ivan Pagnossin work for?
Ivan Pagnossin works for Sigalei.
What is Ivan Pagnossin's role at Sigalei?
Ivan Pagnossin is listed as Cientista de dados at Sigalei.
What is Ivan Pagnossin's email address?
AeroLeads has found 1 work email signal at @digitalpages.com.br for Ivan Pagnossin at Sigalei.
Where is Ivan Pagnossin based?
Ivan Pagnossin is based in São Paulo, Brazil while working with Sigalei.
What companies has Ivan Pagnossin worked for?
Ivan Pagnossin has worked for Sigalei, Cagnotto & Pagnossin Serviços De Informática Ltda, Proz, Digital House Brasil, and Fipen – Faculdade Instituto Paulista De Ensino.
Who are Ivan Pagnossin's colleagues at Sigalei?
Ivan Pagnossin's colleagues at Sigalei include Gileade Kelvin, Ivan Ervolino, Brina Deponte Leveguen, Matheus Henrique Alves Leal, and Arlindo Campos.
How can I contact Ivan Pagnossin?
You can use AeroLeads to view verified contact signals for Ivan Pagnossin at Sigalei, including work email, phone, and LinkedIn data when available.
What schools did Ivan Pagnossin attend?
Ivan Pagnossin holds Specialist, Computation Applied To Education, 97.3% from Universidade De São Paulo.
What skills is Ivan Pagnossin known for?
Ivan Pagnossin is listed with skills including Physics, Programming, Software Development, Operating Systems, Latex, Linux, Data Analysis, and E Learning.
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