Freelancer alankrit nirjhar
BASIC
$ 20

Remote Data Analyst Alankrit Nirjhar Alankrit Nirjhar Alankrit Nirjhar Alankrit Nirjhar Alankrit Nirjhar Alankrit Nirjhar, Engineering & Science

alankrit nirjhar
Joined Sep 22, 2020

About alankrit

Technical Tools - Python, SQL, Microsoft Excel, R Skills - Data Analyst, Data Science, Machine Learning, Data Mining, Statistical Modeling Experience - 1 Year 2 Months experience in all of the above mentioned Skills

Portfolio

Resume/CV for Remote Data Analyst

About freelancer

alankrit
BASIC
alankrit nirjhar
(0 reviews)
Joined Sep 2020
Last seen
10 months 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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