Ricardo do Vale

Ricardo do Vale

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ABOUT ME
Data Scientist at UN Development Programme | Researcher
Data Scientist at UN Development Programme | Researcher

Bachelor and Master Degree Candidate at Universidade de São Paulo (USP), I have 6 years of experience in technology careers and 3+ years of experience as a Business Intelligence and Data Science Analyst, participating as Data Engineer, Data Analyst and Tech Lead in several projects. Main topics over my work experience are:

  • Technical Skills: SQL (SQL Server, Postgres, MySQL, Presto) , Deep Learning, LLM, Python (mainly Matplotlib, Numpy, Pandas, Polars, Seaborn and Sklearn), R, Spark, MongoDB, ElasticSearch
  • Cloud Computing Skills: AWS services (Glue, Sagemaker, Athena, EC2 and S3), Databricks, Dataiku
  • Data Warehouse Skills: Snowflake
  • Visualization Skills: Tableau, Power BI, Meatabase
  • Machine Learning Skills: Classification, Regression, Clustering, Time Series.
  • Application Lifetime Skills: Openshift, Jenkins, Zabbix, Grafana.
  • General Skills: Git, Scrum, Linux, Green Belt Certification.
  • Collaboration in the structuring of a Data and Analytics sector;
  • Extraction, ingestion and definition of master data and business indicators;
  • Tech lead experience in data engineering, business intelligence and Analytics teams;
  • Processes automations, leading to working hours optimization;
  • Organization of recurrent reports, turning them more concise;
  • Creation of deeper analysis projects over an Analytics and Machine Learning perspective.

My way of working consists in adpatation to the culture and environment of the company, embodying the growth mindset and always looking to contribute in possible enhancements in the current state of technical aspects. I consider myself ready for different business scenarios, due to my problem solving skills, I am also capable of creating solutions, with or without a team, whose goal is to reach indicators and answers to business daily or chronical problems.

Portuguese, Spanish, English
Brasilia (-03:00)
Joined July 2023
EXPERTISE
5 years experience
7 years experience
3 years experience
2 years experience
1 year experience
3 years experience
2 years experience

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EMPLOYMENTS
Data Scientist
Truelogic Software
2024-06-01-Present
- Activities on demands from U.S. Company Nerdwallet, a personal finance management corporation; - Application of A/B Tests experiments a...
- Activities on demands from U.S. Company Nerdwallet, a personal finance management corporation; - Application of A/B Tests experiments application that led to a $10.81 daily net revenue increment for a Mortgage calculation product; - Report automations with Python and creation of OKRs follow-up dashboards; - CRM Campaigns performance tracking, highlighting most profitable audiences and niches.
Python
SQL
Snowflake
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Python
SQL
Snowflake
DBT
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Full Data Scientist
UNDP
2023-01-01-2024-06-01
- Activities on demands of CNJ (Brazilian National Council of Justice); - Development of ETLs and Jupyter Notebooks for courts data up to...
- Activities on demands of CNJ (Brazilian National Council of Justice); - Development of ETLs and Jupyter Notebooks for courts data up to 1.2TB, developing migrations, validations and data analysis; - Creation of qualitative-quantitative research over AI usage with results evaluation applied on a sample of 91 brazilian courts; - Development of LLM and NLP models in order to reduce work time from almost 10 times less in tasks applied in lawsuits; - Follow-up and deploy of machine learning models from 3 projects made by partnerships between courts and universities. Technical Skills: Python, Docker, Machine Learning, LLMs (NLP), Power BI, ElasticSearch, Zabbix, SQL, Excel, Spark, general operating systems skills.
AWS
Large Language Models
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AWS
Large Language Models
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Senior Data and Analytics Associate
Shopee
2022-08-01-2023-01-01
- Management of Merchandising business teams demands, performing as a tech lead; - Development of diagnostic analysis of most important s...
- Management of Merchandising business teams demands, performing as a tech lead; - Development of diagnostic analysis of most important sales days, reducing from 6 to 3 the number of reports; - Collaboration in a new machine learning model for key accounts composition, aiming their company monthly sales rising from 45 to 52%; - Processes automation, decreasing from 61 to 31% of working hours over time spent on routines and frequent reports; - Creation of solutions to organize KPIs for sales, key sellers and customer acquisition costs; - Technical Skills: Excel, Cloud based solutions, SQL, Python (Matplotlib, Pandas, Seaborn, Sklearn), Spark; - Soft Skills: Team Management, People Development, Leadership.
Tableau
Data warehouse
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Tableau
Data warehouse
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PROJECTS
Mentoring at WOW Dao HackathonView Project
2023
Mentorship on projects developed with themes focused in Synthetic Data Applications and Generative AI
Mentorship on projects developed with themes focused in Synthetic Data Applications and Generative AI
Python
SQL
AI
Python
SQL
AI