I am a passionate data scientist with over 7 years of experience in developing data products that enhance systems and processes. I provide impactful insights through advanced analytics and thrive on helping people make informed decisions.
Aug 2016 - Present, Laguna Hills, CA, USA
MNWD delivers high-quality drinking water, recycled water and wastewater services to more than 170,000 customers in Orange County, CA and has been named a top workplace in Orange County for four years in a row!
Aug 2020 - Present
Mar 2017 - Aug 2020
Aug 2016 - Mar 2017
Jun 2015 - Jan 2016, Tempe, AZ, US
Contributed to the performance testing of machine learning algorithms across platforms such as Microsoft Azure ML, IBM SPSS, R to determine the trade offs of each platform for multi class problems
Wipro is a global IT, consulting, and business services leader, leveraging cognitive computing, automation, cloud, analytics, and emerging tech for client success
MS-BA (Master's in Business Analytics)CGPA: 3.97 out of 4Taken Courses
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2009-2013 B.Tech. in Computer Science & EngineeringCGPA: 8.02 out of 10Taken Courses
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Use this app to find out 1) the best products or services 2) whether a product is worth buying based on Reddit.
An R-Shiny tool to easily understand and compare the revenue, equity, and demand implications of different water rate structures. This is an open project of the California Data Collaborative, developed in partnership with the Moulton Niguel Water District and ARGO Labs.
This web app (embedded with machine learning pipeline) lets an emergency worker input a new message and displays categorized events so that you can send the messages to an appropriate disaster relief agency
Interactions that users have with articles on the IBM Watson Studio platform are analyzed and new article recommendations are made to them
Generated insights on what makes a video game successful based on 30K+ ratings extracted from IGDB API
With more and better data, an individualized approach that ties rates to effects on the water system is possible, meaning utilities can capture each customer’s water‐use patterns and tailor rates accordingly
Built effective machine learning models, ran ETL and NLP pipelines, designed experiments and analyzed A/B test results, built recommendation systems, and deployed solutions to the cloud with industry-aligned projects
I used Python to solve complex problems quickly, learnt all the key tools for working with data in Python, learnt foundational math needed for AI success — vectors, calculus essentials, linear transformations, and matrices—as well as the linear algebra behind neural networks, how to use PyTorch for deep learning, and finally created an image classifier and converted it into a python application.
Learnt how to prepare, build, train, and deploy high-quality machine learning (ML) models quickly with Amazon SageMaker and learny object-oriented programming best practices.
This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).
Learnt data visualization through Tableau 2022 and used it’s features to discover data patterns such as customer purchase behavior, sales trends, or production bottlenecks and present data quickly and beautifully.
Cleared advanced SQL assessment which covers topics like query optimization, data modeling, Indexing, window functions, and pivots in SQL.
