Eugene Yanayt
PulseAugur coverage of Eugene Yanayt — every cluster mentioning Eugene Yanayt across labs, papers, and developer communities, ranked by signal.
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Eugene Yan shares lessons learned from his first 100 days as Data Science Lead at Lazada.
Eugene Yan, Lazada's Data Science Lead, reflects on his initial 100 days transitioning from an individual contributor to a leadership role. He discusses the challenges of shifting focus from deep technical involvement t…
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Eugene Yan shares insights on data analytics for undergraduates
Eugene Yan, a data science professional, shared insights on data analytics with undergraduates at Singapore Management University. The presentation, aimed at students with non-technical backgrounds, covered the definiti…
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Eugene Yan shares insights on data science career path and daily work
Eugene Yan, a data scientist formerly with Lazada, shared insights into his career path and the realities of the data science field. He explained that his interest in psychology and statistics led him to data science, e…
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Data science career guides offer essential tools, skills, and job search advice
Eugene Yan's article outlines essential tools and skills for aspiring data scientists, emphasizing SQL, Python/R, and Spark for data manipulation and analysis. He also highlights the importance of foundational knowledge…
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OMSCS CS6200 (Introduction to OS) Review and Tips
Eugene Yan has published reviews for several courses within Georgia Tech's Online Master of Science in Computer Science (OMSCS) program. These reviews cover topics ranging from Artificial Intelligence and Machine Learni…
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Building a data team
Eugene Yan's articles discuss the critical aspects of building and managing successful data science teams, emphasizing the importance of hiring individuals with curiosity, grit, and humility. He advocates for a culture …
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Eugene Yan builds reverse image search engine for product discovery
Eugene Yan has developed a reverse image search engine, allowing users to find similar products by uploading an image. The tool, built using neural networks to generate image features and calculate similarities, was ini…
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Eugene Yan shares Lazada's 2016 product ranking framework at Strata Hadoop
Eugene Yan presented at Strata x Hadoop Singapore in 2016 about Lazada's approach to product ranking within their catalog and search results. The goal of this ranking system was to enhance customer experience and boost …
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Eugene Yan launches fashion image classification API, later discontinued
Eugene Yan has launched a product image classification API, initially focused on fashion e-commerce. The API achieved a Top-1 validation accuracy of 0.76 and Top-5 accuracy of 0.974, returning results in under 300 milli…
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Eugene Yan shares data science career advice and his journey to Georgia Tech's OMS CS
Eugene Yan, a data scientist at Lazada, recently gave a guest lecture at Singapore Management University (SMU) on how to start a career in data science. He also shared his personal journey into the field, drawing from h…
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Eugene Yan details building a product classification API from data acquisition to deployment
Eugene Yan details a multi-part process for building a product classification API, emphasizing the importance of prototyping to gain stakeholder buy-in. He explains how to acquire and prepare data, including cleaning ti…
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Eugene Yan reviews Martin Odersky's Scala functional programming course
Eugene Yan shares his experience taking a Coursera course on functional programming in Scala, taught by the language's designer, Martin Odersky. The six-week course covered Scala fundamentals, functional programming con…
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Eugene Yan begins writing journey to improve machine learning and engineering skills
Eugene Yan, a writer focused on machine learning, RecSys, LLMs, and engineering, has published a new post on his personal website. The post, originally written in July 2016, has been updated and converted to Jekyll. Yan…
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Eugene Yan shares Kaggle competition insights and framework
Eugene Yan shared insights from his experience placing in the top 3% of a Kaggle competition at a DataScience SG Meetup. The presentation covered various aspects of the competition, including evaluation metrics, feature…