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Start for FreeLeonardo Yuiti Ono
Data Scientist @Infracommerce
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WORK HISTORY
Data Scientist @Infracommerce
São Paulo, BR
I built a product consisting of a framework that provides an overview of stock levels for different products across different customers’ stores and dates. It also offers suggestions for when and how much to restock different products at different stores to avoid stockouts and overstocks from our customers. In summary, it is a framework used for supply chain management. To build it, I basically used Pyspark,which compared to Pandas is better for working with large volume of data.
EDUCATION
RWTH Aachen University
Academic exchange, MSc. Computer Engineering with emphasis on Data Science and Machine Learning
University of São Paulo
Bachelor of Engineering, Chemical Engineering
ABOUT LEONARDO YUITI ONO
I have 2 years of professional experience and I have been able to develop skills in data science, machine learning, artificial intelligence and web development- Strong work experience in programming with SQL, Python and its libraries (Pandas, Spark, Scikit learn, Numpy, Matplotlib, Seaborn, Numba, Osmnx, Folium, Pulp) for data science- Work experience in web development with VB.NET- Work experience in operations research (logistics network optimization and vehicle routing problem) using mathematical programming, metaheuristics and heuristics- Work experience in preparation of presentations and dashboards in Power BI- Experience with Tensorflow due to course where I studied and applied it- Strong experience with scikit-learn as I used it extensively in my bachelor\'s essay on applied machine learning in the medical field- Knowledge in NLP, image/video processing and computer vision- Work experience with AWS S3 and Databricks. Also, I\'m curious and in the habit of studying tech tools/topics that I have no knowledge, or little knowledge of (as I did in several challenging work projects). I am used to giving technical presentations of my work, as well as presenting in less technical and clear words to colleagues with less knowledge about my work.
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