As a Data Scientist and Cloud Solutions Architect with a Master's in Information Management from the University of Illinois, Urbana-Champaign, I thrive at the intersection of data and innovation. My expertise spans designing rigorous experiments and leading A/B testing initiatives that drive marketing strategies to new heights. I've engineered data pipelines for sophisticated Marketing Mixed Models, optimizing media spending with Bayesian flair. Additionally, I've harnessed the power of neural networks and IoT integration to revolutionize environmental data collection. Let's connect and turn data into your next big advantage!
- Chicago
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MMM-PyMC3-Marketing
MMM-PyMC3-Marketing PublicMarketing Mixed Modelling using PyMC3-Marketing
Jupyter Notebook 6
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ETL-Application-AWS-SQS-to-PostgreSQL-with-PII-Masking
ETL-Application-AWS-SQS-to-PostgreSQL-with-PII-Masking PublicThis project demonstrates how to build an ETL application that reads JSON data from an AWS SQS Queue, masks personal identifiable information (PII), transforms the data, and writes it to a PostgreS…
Python
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Data-Visualization-IS445-
Data-Visualization-IS445- PublicForked from achuri2/achuri2.github.io
Accidents in Chicago Visualised
Jupyter Notebook
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Credit-Risk-Modeling-
Credit-Risk-Modeling- PublicData Cleaning & Processing with respect to predicting the probability of a customer defaulting
Jupyter Notebook
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Retail-Data-Model-Analysis-and-Optimization
Retail-Data-Model-Analysis-and-Optimization PublicThis repository dives deep into to the handling of highly unstructured data and it's analysis which can lead to maintaining data integrity
Jupyter Notebook 1
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Leveraging-Bayesian-Analysis-for-Data-Driven-Product-Decisions-A-Case-Study-with-MelodiStream
Leveraging-Bayesian-Analysis-for-Data-Driven-Product-Decisions-A-Case-Study-with-MelodiStream PublicTraditional A/B testing methods often rely on frequentist statistics, but there's a powerful alternative: Bayesian analysis. In this repository, we'll explore how MelodiStream, a hypothetical music…
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