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Thinkers360 - Isis Santos Costa - Senior Data Analyst at Data Analysis on Demand
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Isis Santos Costa

Senior Data Analyst at Data Analysis on Demand

São Paulo, Brazil

Passionate about discovery & creation in collaborative environments, get energized in bringing analytical approaches into business value.

Analytical background (Engineer, MSc) with recent (2018/2019) graduate courses in Data Science (480h)
Public speaking, lectures, presentations
Co-hosted technical TV debates for consensus building on Urbanism & Sustainabillity

Specialties: Analytical thinking • Experimentation • Intellectual curiosity

Isis Santos Costa Points
Academic 15
Author 3
Influencer 194
Speaker 18
Entrepreneur 0
Total 230

Points based upon Thinkers360 patent-pending algorithm.

Thought Leader Profile

Portfolio Mix

Company Information

Company Type: Service Provider
Business Unit: Growth Product • Data & Analytics
Minimum Project Size: Undisclosed
Average Hourly Rate: Undisclosed
Number of Employees: Undisclosed
Company Founded Date: Undisclosed

Areas of Expertise

Agile 30.21
AI 30.06
Analytics 31.77
Climate Change 31.09
Innovation 31.09
Predictive Analytics 30.08
Retail
Supply Chain 30.22
Sustainability 34.63

Industry Experience

Publications

1 Academic Certification
Modeling flow in ceramic catalytic membrane reactor for partial three-phase hydrogenation
Universidade de São Paulo
January 19, 2012
This study focused on the development of a model for the flow in a reactor membrane of the type active contactor, approached through computational fluid dynamics (CFD), using the commercial software ANSYS FLUENT. The model included the entire membrane module, consisted of a tubular membrane and a metal shell. The model reaction studied was the partial hydrogenation of 1,5-cyclooctadiene initiated by the pumping of the reaction mixture, dissolved in n-heptane, through the membrane, from the ends of the tube. The membranes were impregnated with Pd nanoparticles as catalyst. The porous medium was approximated by a granular bed as represented by the Ergun equation, having as parameters the porosity and the grain size of the

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Tags: Analytics, Innovation, Sustainability

1 Journal Publication
Artificial Neural Network Model for Photosynthesis
Undergraduate Research Journal • Polytechnic School of USP
November 28, 2020
Neural Networks to predict photosynthesis, as a CO₂ sink in mitigating Climate Change
――
Question ► How to scale up / speed up successful predictions achieved with lab-made tool
Approach ► Evaluate Matlab, comparing its prediction performance to lab-made tool
Impact ► « Faster Processing » tool (up to 80%), validated for the application

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Tags: AI, Climate Change, Sustainability

1 Presentation
Intermittent Demand Information Theory Approach
40th International Symposium on Forecasting ‖ International Institute of Forecasters IIF
October 27, 2020
Intermittent Demand: an Information Theory approach to look at data and get results even under nonindependence conditions
――
Question ► How to get more accurate forecasts for intermittent demand
Approach ► Theory Information • Alphabet Profiles
Impact ► Data-driven non-Gaussian modeling approach

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Tags: Agile, Predictive Analytics, Supply Chain

6 Speaking Engagements
Demand Forecasting Automated Model Selection
40th International Symposium on Forecasting ‖ International Institute of Forecasters IIF
October 28, 2020
The ABC of Automated Forecast Model Profile Selection
――
Question ► How to automate model selection based on demand profiles
Approach ► ANOVA: quantifying Trend, Seasonality and Other contributions to demand variability
Impact ► Automated approach to embed into a forecast decision support system (FDSS)

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Tags: Agile, Predictive Analytics, Supply Chain

Refractory Maintenance of Coke Oven Batteries
Ironmaking, Iron Ore and Agglomeration Seminars ‖ ABM 46th Reduction Seminar
September 27, 2016
Preservation of coke oven refractory lining: planning and control methodology
――
Question ► How to make the most of (capital-intensive) coke making facilities
Approach ► Active Decision Support System (DSS), Predictive Maintenance, Smart Repair
Impact ► « Lifespan Increase » (up to 10 years), « Agile Inspection » (400+ ovens / 90 days)

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Tags: Analytics, Innovation, Sustainability

Induction fusion from the lens of the refractory
publication descriptionI Induction Fusion Seminar • Grupo Aprenda • SENAI
July 21, 2016
Drying and Heating for Sintering of the Refractory Lining
――
Question ► How to improve performance of refractories in induction melting furnaces
Approach ► Convective preheating
Impact ► « Safety 1st » • Service Life • Fuel Efficiency

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Tags: Analytics, Innovation, Sustainability

Fuel Saving Scenarios Analyzed by Mathematical Modeling
12ᵗʰ International Seminar on Furnace Design ‖ Operation & Process Simulation • Glass Service gsl.cz
June 27, 2013
Cost-effective analysis of multiple scenarios for coke ovens hot-hold
――
Question ► How to increase the efficiency of this fuel intensive process (as 7,000 ton LPG/ mo)
Approach ► Convective burners, mathematical modeling & simulation (Glass Service: GS-GFM)
Impact ► « Fuel Savings » (up to 40.8%), enabled by process design and refinement

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Tags: Analytics, Innovation, Sustainability

Modeling of flow-through catalytic membrane reactor for partial hydrogenation reactions
ICIM-12 • 12th International Conference on Inorganic Membranes
July 13, 2012
Efficiency by design when further reactions hinder selectivity
――
Question ► How defects (porosity variations) of membranes may affect selectivity
Approach ► CFD: computational fluid dynamics, 3D modeling of (cylindrical) membranes
Impact ► Insight for « Standardization »: impact of longitudinal variations ≫ annular ones

Conference: ICIM-12 ‖ 12th International Conference on Inorganic Membranes
@ University of Twente ‖ Enschede, The Nederlands
Affiliation: University of São Paulo

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Tags: Analytics, Innovation

Mathematical Modeling of Heat Transfer and Thermal Expansion
11ᵗʰ International Seminar on Furnace Design ‖ Operation & Process Simulation • Glass Service gsl.cz
June 23, 2011
Aiding the Development of Heating Strategies for Silica-Lined Furnaces
――
Question ► How do the number, flow rate and positioning of burners affect thermal uniformity
Approach ► Simulation (Glass Service GFM, Glass Furnace Model) + Extensive field data
Impact ► Streamlined operations, Efficiency in logistics: « high quality with fewer burners »

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Tags: Analytics, Innovation, Sustainability

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