Senior Data Scientist
2019 - PRESENTBCG- Developed a PoC for stereo vision and image segmentation using satellite images which led to a new vegetation management project for an infrastructure company.
- Developed a Twitter analysis dashboard to measure tweet sentiments, network of influencers and visualize trends per tag/time to aid strategic designers in research.
- Developed a machine learning model using gradient boosting for activity detection using remote sensing data to improve supply chain tracking for start-up.
- Built a precision farming knowledge base using Neo4J and web scrapping.
- Built a farming chat bot using DialogFlow.
Technologies: Amazon Web Services (AWS), Docker, AWS, TensorFlow, OpenCV, PythonData Scientist
2018 - PRESENTToptal Project- Built an object detection model for medical image analysis using TensorFlow.
- Created a data science strategy for a lending start-up.
- Created a trading Forex back-testing platform using Python and AWS.
- Created Forex trading algorithms using Bayesian machine learning and deep learning with technical indicators as features. Used Python, TensorFlow, and TensorFlow-probability.
Technologies: Amazon Web Services (AWS), TensorFlow, Docker, Google Cloud Platform (GCP), AWS, Computer Vision, Deep Learning, PythonSenior Machine Learning Consultant
2018 - 2019Servian- Developed and deployed a churn model using gradient boosting for an insurance company.
- Developed and deployed a convolutional network for customer spending forecasting using TensorFlow, Ansible, Docker, ECS, DynamoDB, and PostgreSQL.
- Developed and deployed a text classification system using a convolutional model using TensorFlow and Spark.
- Designed a data science strategy for a major financial institution. Mentored junior data scientists.
- Explored a large corpus of insurance claims data using association rule mining, topic modeling, semantic similarity, and other text mining techniques.
- Created a open domain chatbot based on machine comprehension (Facebook's DrQA) using PyTorch, Flask, React, and DialogFlow.
- Assisted in the development of a person tracking system using Yolo v2 and Kalman filters for a major Australian retail company.
- Assisted with a markdown system based on demand forecasting using Facebook's Prophet and revenue optimization using mixed-integer linear programming.
Technologies: Amazon Web Services (AWS), Keras, TensorFlow, Hadoop, AWS, Spark, Scala, PythonData Scientist
2017 - 2018Mojo Power- Developed and deployed a serverless linear model for load forecasting using Python, NumPy, and AWS Lambda.
- Created a proof-of-concept Hidden Markov Model for load disaggregation.
- Developed a model for credit scoring of energy customers.
- Developed and deployed an LSTM model for load forecasting using PyTorch.
- Developed dashboards for analytics reporting on energy usage using Tableau.
- Used topic modeling for exploratory data analysis of customer reviews.
- Worked on a PoC for solar panel detection on satellite images using Facebook's Detectron.
Technologies: Tableau, PostgreSQL, AWS Lambda, PythonQuantitative Developer
2016 - 2017Macquarie Bank- Parsed and analyzed unstructured data of logs of order execution into SQL Server.
- Back-tested optimal execution strategies.
- Developed a Plotly dashboard to visualize market data.
- Tested and investigated new trading strategies.
- Tested machine learning algorithms for commodities trading.
Technologies: Plotly, C#, Django, Vagrant, Microsoft SQL Server, Kdb+, PythonQuantitative Researcher
2012 - 2016Securities Commision of Brazil- Developed regulatory research studies using statistical modeling (estimation and hypothesis testing).
- Created market risk reports and visualizations with time series analysis and forecasting using R.
- Elaborated a risk monitoring system using Monte Carlo simulation and statistical estimation using Java.
- Developed a data warehouse to aggregate data related to market risk and development of BI reports using BusinessObjects.
- Led a data governance group to discover and catalog data sources across the whole organization.
Technologies: Microsoft Office, BusinessObjects, IBM Cognos, Cognos 10, Python, SPSS, Microsoft SQL Server, RBusiness Analyst
2010 - 2012Brazilian Institute of Metrology- Processed modeling and analysis using BPM.
- Monitored business KPIs on Cognos dashboards.
- Gathered requirements for internal systems developed by a development factory.
Technologies: UML, Java, IBM Cognos, Cognos 10
Leonardo dos Santos Pinheiro
Statistics Developer in Sydney, New South Wales, Australia
Member since July 15, 2016
Leonardo is a data scientist and machine learning engineer with eight years of industry experience across the government, energy markets, finance, and consulting sectors. He is well versed in work with both small and big data, specializing in the development and deployment of AI systems, and in the application of machine learning and optimization algorithms to generate predictive analytics and improve business process.
Leonardo is now available for hire
Portfolio
- BCGAmazon Web Services (AWS), Docker, AWS, TensorFlow, OpenCV, Python
- Toptal ProjectAmazon Web Services (AWS), TensorFlow, Docker, Google Cloud Platform (GCP)...
- ServianAmazon Web Services (AWS), Keras, TensorFlow, Hadoop, AWS, Spark, Scala, Python
Experience
- Data Science 8 years
- Statistics 7 years
- R 6 years
- SQL 6 years
- Python 5 years
- Natural Language Processing (NLP) 4 years
- Computer Vision 3 years
- TensorFlow 3 years
Availability
Part-time
Preferred Environment
VS Code, IntelliJ, Jupyter, Linux
The most amazing...
...system I have developed is a web-based AI assistant that uses a sequence model for text classification to provide insights to analysts based on model bahavior.
Employment
Skills
Languages
Python, SQL, R, Scala, Bash, UML, Java, C#, Julia, JavaScriptFrameworks
Spark, Hadoop, Windows PowerShell, Django, FlaskLibraries/APIs
Scikit-learn, XGBoost, Pandas, NumPy, SpaCy, TensorFlow, SciPy, NLTK, OpenCV, Luigi, Keras, PyTorch, Flask-RESTful, Node.jsTools
Jupyter, Tableau, Plotly, H2O AutoML, GitLab CI/CD, Git, AWS ECS, Apache Airflow, Cloudera, IntelliJ, VS Code, IBM Cognos, SPSS, Microsoft Office, Vagrant, AWS CloudFormation, Talend ETLParadigms
Data Science, Scrum, KanbanOther
Artificial Intelligence (AI), Dashboards, Agile Data Science, Machine Learning, Natural Language Processing (NLP), Deep Learning, Computer Vision, A/B Testing, Visualization, Statistics, APIs, NLP, Scraping, Analytics, Dashboard Design, Cognos 10, BusinessObjects, AWS, Recommendation SystemsPlatforms
Docker, AWS Lambda, Linux, Google Cloud Platform (GCP), Amazon Web Services (AWS), Apache KafkaStorage
AWS S3, AWS DynamoDB, InfluxDB, AWS RDS, PostgreSQL, Microsoft SQL Server, MongoDB, Kdb+, Neo4j
Education
- Master's degree in Applied Math2014 - 2016Getulio Vargas Foundation - Rio de Janeiro, Brazil
- Bachelor's degree in Management Science2006 - 2009Getulio Vargas Foundation - Rio de Janeiro, Brazil
Certifications
- AWS Certified DeveloperDECEMBER 2018 - DECEMBER 2020AWS
