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7 | | - "text": "Hello! I’m Luís Assunção1.\n1 I’m a statistician and data scientist – my goal is to help people make better decisions under uncertainty. To achieve this, I design experiments, model causal relationships, estimate probabilities, and more.\nI also enjoy hiking, music, and woodworking. I live with my partner and our ginger cat2 in Belo Horizonte, Brazil.\n2" |
| 7 | + "text": "Hello! I’m Luís1.\n1 I’m a statistician and data scientist – my goal is to help people make better decisions under uncertainty. To achieve this, I design experiments, model causal relationships, estimate probabilities, and more.\nI also enjoy hiking, music, and woodworking. I live with my partner and our ginger cat2 in Belo Horizonte, Brazil.\n2" |
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18 | 18 | "href": "cv.html", |
19 | 19 | "title": "Curriculum Vitae", |
20 | 20 | "section": "", |
21 | | - "text": "Email / GitHub / LinkedIn / Website\n\n\n\n\nStaff Data Scientist | April 2020 - present\n\nDeveloped an in-house AB hierarchical testing framework with optional stopping\nConsulted for and developed randomized controlled trials\nEstimated causal effects in non-randomized experiments\nEstimated pricing elasticity for digital products using multilevel models\nClassified evergreen vs launching sales strategies using hidden state models\nImproved quality of course assigments using Item Response Theory models\n\n\n\n\nData Scientist | Oct 2018 - March 2020\n\nConsulted for companies such as AB InBev and GTB in statistical projects\nModeled spatial pricing elasticity for beverages using Gaussian Processes\nEstimated revenue attribution in multi-touchpoint marketing campaigns\n\n\n\n\nIntern | 2015 - 2017\n\nCollected, wrangled and described survey data\nResearched policies to advance human rights in the digital matters\n\n\n\n\n\n\n\nFederal University of Minas Gerais (UFMG) | Belo Horizonte, MG - Brazil | 2017 - 2021\n\nResearched and authored a reproducible monograph (in portuguese with an abstract in english) on exponential random graphs applied to epidemiology\nCo-authored Frequency and burden of neurological manifestations upon hospital presentation in COVID-19 patients: Findings from a large Brazilian cohort\n\n\n\n\n\n\n\nPosts on data analysis using tools such as Python, polars, pymc, pulp, seaborn:\n\nPicking a fantasy football team: In this post, I delve into the data for the 2022 season of a brazilian fantasy football league; formulate a mixed integer linear program to pick the optimal team; and present initial concepts for forecasting player scores using mixed effects linear models.\nDecomposable non-monotonic models: In this post, I compare empirical and parametric approaches to model non- monotonic relationships using a Digit Span verbal working memory cognitive test dataset.\n\n\n\n\n\nsite: My website and blog post codes using Quarto Markdown\nmldc2020: Recommendation system and 7th place solution to the Mercado Libre Data Challenge 2020\nrstanbtm: Biterm Topic Model implementation in Stan\nqlm: Generate predictive SQL queries from linear models in R\ntophat: Scheduled shell script to fetch and save fantasy football data\n\n\n\n\n\nPod e Dev podcast episode, where I talk (in portuguese) about the challenges in pricing digital products and causal assumptions we made to overcome these challenges in our model at Hotmart. We also discuss good and bad use cases for large language models, as well as how models with 2 parameters can be as useful as models with 200 million parameters." |
| 21 | + "text": "Email / GitHub / LinkedIn / Website" |
22 | 22 | }, |
23 | 23 | { |
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25 | 25 | "href": "cv.html#employment", |
26 | 26 | "title": "Curriculum Vitae", |
27 | | - "section": "", |
28 | | - "text": "Staff Data Scientist | April 2020 - present\n\nDeveloped an in-house AB hierarchical testing framework with optional stopping\nConsulted for and developed randomized controlled trials\nEstimated causal effects in non-randomized experiments\nEstimated pricing elasticity for digital products using multilevel models\nClassified evergreen vs launching sales strategies using hidden state models\nImproved quality of course assigments using Item Response Theory models\n\n\n\n\nData Scientist | Oct 2018 - March 2020\n\nConsulted for companies such as AB InBev and GTB in statistical projects\nModeled spatial pricing elasticity for beverages using Gaussian Processes\nEstimated revenue attribution in multi-touchpoint marketing campaigns\n\n\n\n\nIntern | 2015 - 2017\n\nCollected, wrangled and described survey data\nResearched policies to advance human rights in the digital matters" |
| 27 | + "section": "Employment", |
| 28 | + "text": "Employment\n\nHotmart\nStaff Data Scientist | April 2020 - present\n\nDeveloped an in-house AB hierarchical testing framework with optional stopping\nConsulted for and developed randomized controlled trials\nEstimated causal effects in non-randomized experiments\nEstimated pricing elasticity for digital products using multilevel models\nClassified evergreen vs launching sales strategies using hidden state models\nImproved quality of course assigments using Item Response Theory models\n\n\n\nOper\nData Scientist | Oct 2018 - March 2020\n\nConsulted for companies such as AB InBev and GTB in statistical projects\nModeled spatial pricing elasticity for beverages using Gaussian Processes\nEstimated revenue attribution in multi-touchpoint marketing campaigns\n\n\n\nIRIS\nIntern | 2015 - 2017\n\nCollected, wrangled and described survey data\nResearched policies to advance human rights in the digital matters" |
29 | 29 | }, |
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33 | 33 | "title": "Curriculum Vitae", |
34 | | - "section": "", |
35 | | - "text": "Federal University of Minas Gerais (UFMG) | Belo Horizonte, MG - Brazil | 2017 - 2021\n\nResearched and authored a reproducible monograph (in portuguese with an abstract in english) on exponential random graphs applied to epidemiology\nCo-authored Frequency and burden of neurological manifestations upon hospital presentation in COVID-19 patients: Findings from a large Brazilian cohort" |
| 34 | + "section": "Education", |
| 35 | + "text": "Education\n\nB.S in Statistics\nFederal University of Minas Gerais (UFMG) | Belo Horizonte, MG - Brazil | 2017 - 2021\n\nResearched and authored a reproducible monograph (in portuguese with an abstract in english) on exponential random graphs applied to epidemiology\nCo-authored Frequency and burden of neurological manifestations upon hospital presentation in COVID-19 patients: Findings from a large Brazilian cohort" |
36 | 36 | }, |
37 | 37 | { |
38 | 38 | "objectID": "cv.html#examples", |
39 | 39 | "href": "cv.html#examples", |
40 | 40 | "title": "Curriculum Vitae", |
41 | | - "section": "", |
42 | | - "text": "Posts on data analysis using tools such as Python, polars, pymc, pulp, seaborn:\n\nPicking a fantasy football team: In this post, I delve into the data for the 2022 season of a brazilian fantasy football league; formulate a mixed integer linear program to pick the optimal team; and present initial concepts for forecasting player scores using mixed effects linear models.\nDecomposable non-monotonic models: In this post, I compare empirical and parametric approaches to model non- monotonic relationships using a Digit Span verbal working memory cognitive test dataset.\n\n\n\n\n\nsite: My website and blog post codes using Quarto Markdown\nmldc2020: Recommendation system and 7th place solution to the Mercado Libre Data Challenge 2020\nrstanbtm: Biterm Topic Model implementation in Stan\nqlm: Generate predictive SQL queries from linear models in R\ntophat: Scheduled shell script to fetch and save fantasy football data\n\n\n\n\n\nPod e Dev podcast episode, where I talk (in portuguese) about the challenges in pricing digital products and causal assumptions we made to overcome these challenges in our model at Hotmart. We also discuss good and bad use cases for large language models, as well as how models with 2 parameters can be as useful as models with 200 million parameters." |
| 41 | + "section": "Examples", |
| 42 | + "text": "Examples\n\nBlog\nPosts on data analysis using tools such as Python, polars, pymc, pulp, seaborn:\n\nDrafting a fantasy football team: In this post, I delve into the data for the 2022 season of a brazilian fantasy football league, formulate a mixed integer linear program to draft the optimal team; and present initial concepts for forecasting player scores using mixed effects linear models.\nAdditive aging curve: In this post, I compare empirical, semi-parametric and parametric approaches to modeling aging-curve-like non-monotonic relationships using data from a verbal working memory test.\n\n\n\nRepositories\n\nsite: My website and blog post codes using Quarto\nmldc2020: Recommendation system and 7th place solution to the Mercado Libre Data Challenge 2020\nrstanbtm: Biterm Topic Model implementation in Stan\nqlm: Generate predictive SQL queries from linear models in R\ntophat: Scheduled shell script to fetch and save fantasy football data\n\n\n\nOthers\n\nPod e Dev podcast episode, where I talk (in portuguese) about the challenges in pricing digital products and causal assumptions we made to overcome these challenges in our model at Hotmart. We also discuss good and bad use cases for large language models, as well as how models with 2 parameters can be as useful as models with 200 million parameters." |
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130 | 130 | "href": "index.html#about", |
131 | 131 | "title": "Home", |
132 | 132 | "section": "", |
133 | | - "text": "Hello! I’m Luís Assunção1.\n1 I’m a statistician and data scientist – my goal is to help people make better decisions under uncertainty. To achieve this, I design experiments, model causal relationships, estimate probabilities, and more.\nI also enjoy hiking, music, and woodworking. I live with my partner and our ginger cat2 in Belo Horizonte, Brazil.\n2" |
| 133 | + "text": "Hello! I’m Luís1.\n1 I’m a statistician and data scientist – my goal is to help people make better decisions under uncertainty. To achieve this, I design experiments, model causal relationships, estimate probabilities, and more.\nI also enjoy hiking, music, and woodworking. I live with my partner and our ginger cat2 in Belo Horizonte, Brazil.\n2" |
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