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职业迁徙
个人简介
I have 10 years of experience leading data science/machine learning projects. I successfully convinced IBM business and technical executive teams and raised 350K from internal research funding for my research project on automated data science. I worked closely with the DevOps team to integrate the given research work into IBM Watson Studio AutoAI and IBM System-Z Watson Machine Learning products. For this work, I got two Outstanding Technical Achievement Awards (OTAA) from IBM in 2020.
I am a Kaggle Competition Master, published over 20 papers including works in top data science conferences such as ACM SIGKDD and SIAM SDM. I am an author and co-author of 15 (granted/pending) US patents.
I am fluent in Java, Python, R, C++ and Scala, convenient with machine learning libraries like ScikitLearn, Spark's mllib, Weka. Experienced with big data platforms like Hadoop, MapReduce and Spark. Experienced with deep learning libraries such as PyTorch, Tensorflow. Working experience with NLP technology like spacy, spacy transformers.
I have been working on different predictive analytics projects for our clients. This includes bus arrival time prediction based on GPS data for Dublin bus, customer churn prediction based on telco data for Vodacom SA, train delay prediction based on realtime message data for Deutsche Bahn, train failure prediction based on sensor data for BNFS, gas trading trend prediction based on stock price data for Cargill.
I am a Kaggle Competition Master, published over 20 papers including works in top data science conferences such as ACM SIGKDD and SIAM SDM. I am an author and co-author of 15 (granted/pending) US patents.
I am fluent in Java, Python, R, C++ and Scala, convenient with machine learning libraries like ScikitLearn, Spark's mllib, Weka. Experienced with big data platforms like Hadoop, MapReduce and Spark. Experienced with deep learning libraries such as PyTorch, Tensorflow. Working experience with NLP technology like spacy, spacy transformers.
I have been working on different predictive analytics projects for our clients. This includes bus arrival time prediction based on GPS data for Dublin bus, customer churn prediction based on telco data for Vodacom SA, train delay prediction based on realtime message data for Deutsche Bahn, train failure prediction based on sensor data for BNFS, gas trading trend prediction based on stock price data for Cargill.
研究兴趣
论文共 47 篇作者统计合作学者相似作者
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Raul Fernandez-Diaz, Rodrigo Cossio-Pérez,Clement Agoni,Hoang Thanh Lam,Vanessa Lopez,Denis C. Shields
biorxiv(2024)
Hoang Thanh Lam,Marco Luca Sbodio, Marcos Martínez Gallindo,Mykhaylo Zayats, Raúl Fernández-Díaz,Víctor Valls,Gabriele Picco,Cesar Berrospi Ramis,Vanessa López
CoRR (2023)
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Hoang Thanh Lam,Marco Luca Sbodio, Marcos Martínez Gallindo,Mykhaylo Zayats, Raúl Fernández-Díaz,Víctor Valls,Gabriele Picco,Cesar Berrospi Ramis,Vanessa López
arXiv (Cornell University) (2023)
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Gabriele Picco, Marcos Martinez Galindo, Alberto Purpura, Leopold Fuchs,Vanessa Lopez,Thanh Lam Hoang
23RD IEEE INTERNATIONAL CONFERENCE ON DATA MINING, ICDM 2023pp.1271-1276, (2023)
Vanessa Lopez,Gabriele Picco,Inge Vejsbjerg,Thanh Lam Hoang,Yufang Hou,Marco Luca Sbodio,John Segrave-Daly,Denisa Moga, Sean Swords,Miao Wei, Eoin Carroll
arxiv(2022)
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