Freelancer henry lopez matos
BASIC
$ 40

Validation Analyst Henry Lopez Matos, Engineering & Science

henry lopez matos
Joined Dec 3, 2020

About henry

 Identify and develop projects to optimize manufacturing processes, including the use of engineering methods (Six Sigma) for the continuous improvement of processes and products. Lead the implementation ensuring that the business objectives and expected quality standards are met.  Submit changes (creation and changes of structures, procedures an...Expand

Portfolio

Sealing Project
Six Sigma project to enhance capability
DFSS - DoE Improving High Speed Pharmaceutical Powder Compression

About freelancer

henry
BASIC
henry lopez matos
(0 reviews)
Joined Dec 2020
Last seen
2 months ago

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A certified Applied Data Scientist with experiences focusing on statistics analytics and machine learning. Familiar with statistics modeling, feature engineering and commonly used machine learning algorisms. My last project was working on an anomaly detection project for Microsoft Digital Stores using Microsoft cognitive service with some python public packages and Microsoft internal Bias Test library. • Experienced descriptive statistics and advanced analytics in Cosmos big data environment for MSCOM Digital Store. • Experienced causal impact modeling for camping incrementality analysis. • Experienced reinforcement learning modeling using Markov Decision Process for MSCOM online customer behavior analysis and action recommendations. • Experienced MS stores KPIs anomaly detection and root cause analysis conduct with forecasting model to reduce the false alerts. Writing python class library for internal use case. • Experienced Azure VM auto scaling schedule time series forecasting, classifications for MS Azure Subscription Automation Team. • Participated in data science professional activities, o Cortana Intelligence Competition Project 2016 – Decoding Brain Signals Achieved top 10th in public leader boarder - accuracy 81.875% in public test dataset. Achieved top 12th in private leader boarder - accuracy 80% in private test dataset. Program Language: R Platform: R Studio, MS Azure Machine Learning Web service. Algorism: LASSO most like hood features selection and logistic regression o Kaggle Competition project - Classify Handwritten Digits Using MNIST data Program Language: R “mxnet” deep learning model, accuracy: 99.429% Program Language: Python “Tensorflow” deep learning model, accuracy: 99% • Experienced simulation science tool development using modem web technologies and PowerSim SDK.
Engineering & Science
Data Mining
Data Science
Deep Learning
Machine Learning (ML)
Statistical Analysis
70 $
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