Leandro Loss

Leandro Loss Email and Phone Number

Principal Data Scientist (Quantaverse AMLRS) | Visiting Professor (ESSCA Shanghai) | Adjunct Professor (ITU) @ ESSCA School of Management
Leandro Loss's Location
Greater Philadelphia, United States, United States
Leandro Loss's Contact Details

Leandro Loss personal email

n/a
About Leandro Loss

Objectives: (1) To drive innovation through the use of data science technologies, contributing to the development of next generation products.(2) To drive innovative thinking through research and teaching in computer science, contributing to the development of socially impactful professionals.Expertises: Artificial Intelligence, Machine Learning, MLOps, Deep Learning, Natural Language Processing, Large Language Models, LLM Fine-Tuning, Production-ready LLMs, Data Science, Neural Networks, Big Data, Data Mining, Image Processing, Computer Vision, Anti-Money Laundering (AML), Know-Your-Customer (KYC), Fintech.

Leandro Loss's Current Company Details
ESSCA School of Management

Essca School Of Management

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Principal Data Scientist (Quantaverse AMLRS) | Visiting Professor (ESSCA Shanghai) | Adjunct Professor (ITU)
Leandro Loss Work Experience Details
  • Quantaverse Amlrs
    Principal Data Scientist
    Quantaverse Amlrs Nov 2015 - Present
    Head of Data Science- Designing and implementing AI-based solutions to fight financial crimes- Applying Machine Learning and Big Data Analytics to detect and understand anomalous financial transactions resulting from money laundering- Granular analysis and forecast of financial performance for risk management and fraud detection- Full-stack data processing, interaction and visualization using Python, Flask, Javascript and D3.js
  • Essca School Of Management
    Visiting Professor
    Essca School Of Management Sep 2015 - Present
    Angers, Maine-Et-Loire, Fr
    Spring 2022 (latest) - Teaching Data Science sessions for:- MKG574 (Digital Marketing and eCRM in the Chinese Context); and - MBA-DB2 (Digital Transformations in China)
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  • International Technological University (Itu)
    Adjunct Professor
    International Technological University (Itu) Jan 2014 - Present
    Santa Clara, California, Us
    Participating in Program and Curriculum DevelopmentTeaching Computer Science courses in the grad school program. - Currently teaching: Data Science for Business, Computer Algorithms and Software Refactoring- Past teaching: Object-Oriented Programming in C++, Computer Algorithms, Software Engineering and Operating Systems.
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  • Nodeprime (Ericsson)
    Senior Data Scientist
    Nodeprime (Ericsson) Nov 2014 - Nov 2015
    San Francisco, Ca, Us
    - Led the Data Science and Visualization Team- Data modeling and event prediction for data center intelligence e.g., Hard drive failure prediction, Disk and CPU capacity estimation, and Others- High-volume, High-throughput data collection and processing e.g., Real-time analytics, Real-time data center segmentation, and Others- Full-stack creation of interactive visualizations via JS, JQuery, and D3.js
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  • Lawrence Berkeley National Laboratory
    Research Affiliate
    Lawrence Berkeley National Laboratory Nov 2011 - Dec 2014
    Berkeley, Ca, Us
    Life Sciences DivisionComputational Imaging and Bioinformaticsunder Dr. Bahram Parvin's supervisionMain Activity· 3D Modeling of plant cell wall using perceptual grouping - collaboration with the Energy Biosciences Institute.
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  • Lawrence Berkeley National Laboratory
    Postdoctoral Researcher
    Lawrence Berkeley National Laboratory Jun 2009 - Oct 2011
    Berkeley, Ca, Us
    Life Sciences DivisionComputational Imaging and Bioinformaticsunder Dr. Bahram Parvin's supervisionMain Projects:· Image-based segmentation of cell nuclei for characterization of histological sections - The Cancer Genome Atlas (TCGA) project;· Supervised learning of histological sections by kernel modeling - The Cancer Genome Atlas (TCGA) project;· Video-based tracking and characterization of cells' fluorescence resonance energy - collaboration with Iowa State University;· Quantitative characterization of cell colonies affected by radiation - collaboration with Mina Bissel's Lab;· 3D Modeling of plant cell wall using perceptual grouping - collaboration with the Energy Biosciences Institute.
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  • Lawrence Berkeley National Laboratory
    Graduate Research Assistant
    Lawrence Berkeley National Laboratory May 2008 - Jun 2009
    Berkeley, Ca, Us
    Life Sciences DivisionComputational Imaging and Bioinformaticsunder Dr. Bahram Parvin's supervisionMain Projects:· Prediction of genes involved in breast cancer by unsupervised learning - collaboration with Joe Gray's Lab;· Image-based segmentation of cell membranes through perceptual grouping
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  • Bayes Impact
    Data Scientist Fellow
    Bayes Impact Sep 2014 - Nov 2014
    San Francisco, California, Us
    - DaTSCAN image and genotype analysis for the Michael J. Fox's Parkinson's Progression Markers Initiative- Data mining for the Scientific Registry of Transplant Recipients
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  • Here, A Nokia Company
    Senior Research Engineer
    Here, A Nokia Company Nov 2011 - Aug 2014
    Eindhoven, North Brabant, Nl
    - 3D City Modeling (Patent Numbers USA201314028069/EU14184341.7-1870, USA14/154864, USA14/163614)- Segmentation of LiDAR point clouds for 3D reconstruction of urban scenes;- Feature extraction from LiDAR+RGB point clouds (Navteq TRUE data - https://www.youtube.com/watch?v=Qm9Rcf-naM4).
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  • University Of Nevada Reno
    Graduate Teaching Assistant
    University Of Nevada Reno Aug 2007 - May 2008
    Reno, Nv, Us
    Teaching Introduction to Computer Science (C++) - 120 students total, 4 classes, 12 hours/week
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  • Los Alamos National Laboratory
    Graduate Research Assistant
    Los Alamos National Laboratory May 2005 - Aug 2007
    Los Alamos, Nm, Us
    Space and Remote Sensing Groupunder Dr. Alexei Skurikhin's supervisionMain Projects:· Characterization of road networks from satellite images through perceptual grouping· Target detection from LIDAR images by perceptual grouping and visual attention
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  • University Of Nevada Reno
    Graduate Research Assistant
    University Of Nevada Reno Aug 2004 - May 2007
    Reno, Nv, Us
    Department of Computer Science and EngineeringComputer Vision Laboratoryunder Dr. George Bebis's supervisionMain Projects:· Image-based figure-ground segmentation through perceptual grouping;· Scene characterization from aerial images by evolutionary algorithms;· Face recognition from infrared images.
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  • Vixteam Consultoria & Sistemas
    Software Engineer
    Vixteam Consultoria & Sistemas Jan 2000 - Jan 2002
    Vitória, Es, Br
    · General software development for MS Windows - Visual C++ 6.0, Power Builder, Oracle 8i, and MS SQL Server
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Leandro Loss Skills

Machine Learning Computer Vision Computer Science C++ Image Processing Algorithms Image Analysis Bioinformatics Python Artificial Intelligence Data Mining Pattern Recognition Opengl Programming C Latex Signal Processing Matlab Parallel Computing 3d Reconstruction Algorithm Development High Performance Computing Cuda

Leandro Loss Education Details

  • University Of Nevada, Reno
    University Of Nevada, Reno
    Computer Science
  • Universidade Estadual De Campinas
    Universidade Estadual De Campinas
    Computer Engineering
  • Universidade Federal Do Espírito Santo
    Universidade Federal Do Espírito Santo
    Computer Engineering

Frequently Asked Questions about Leandro Loss

What company does Leandro Loss work for?

Leandro Loss works for Essca School Of Management

What is Leandro Loss's role at the current company?

Leandro Loss's current role is Principal Data Scientist (Quantaverse AMLRS) | Visiting Professor (ESSCA Shanghai) | Adjunct Professor (ITU).

What is Leandro Loss's email address?

Leandro Loss's email address is ll****@****rse.net

What is Leandro Loss's direct phone number?

Leandro Loss's direct phone number is +161046*****

What schools did Leandro Loss attend?

Leandro Loss attended University Of Nevada, Reno, Universidade Estadual De Campinas, Universidade Federal Do Espírito Santo.

What skills is Leandro Loss known for?

Leandro Loss has skills like Machine Learning, Computer Vision, Computer Science, C++, Image Processing, Algorithms, Image Analysis, Bioinformatics, Python, Artificial Intelligence, Data Mining, Pattern Recognition.

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