Freelancer Sairupavis Wanadh
BASIC
$ 30

Data Analyst Sairupavis Wanadh, Engineering & Science

Sairupavis Wanadh
Joined Nov 16, 2020

About Sairupavis

Enthusiastic and keen learner about Big data analytics, experienced in applying machine learning tools in data analysis with Python along with statistical modeling tools for various research analytics and IoT data based analysis, Energy markets, Smart meters, Business analysis, integration of renewable in grid, probability and random variables/Expand

About freelancer

Sairupavis
BASIC
Sairupavis Wanadh
Joined Oct 2020
Last seen
1 years ago

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Wuqi Weber
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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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