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Barking up the right tree with backend development and dogs

Education

Purdue University 2022-2023 Business Analytics and Information Management
Indian Institute of Information Technology, Jabalpur, India 2016-2020 Electronics and Communication Engineering

Work Experience

Quantiphi Analytics | Google Cloud, United States                                                                                                             August 2020-June 2022

  • Collaborated with the Google Cloud team to build Visual Inspection AI API for manufacturing and assembly line image recognition and detection by implementing a Non-Local Means algorithm for image restoration.
  • Implemented SVM to achieve a classification accuracy of 91.2% in normal sheets and 76.2% in defective sheets increasing fault detection accuracy by 93.3% compared to manual classification.
  • Spearheaded an interdisciplinary team of 11 with Google Cloud to deliver an agnostic Data Management system for the State of Oklahoma, OMES, leading to the unification of 23 petabytes of data across agencies.
  • Incorporated Bigquery and Cloud Datastore to build a Hub-and-Spoke model drawing data from 7 sources, minimizing data transmission time by 87% and reducing expected query time from 40 days to 10 minutes.
  • Designed an experiment to study the impact of rolling out targeted social programs on the hub platform by performing a population split-A/B testing evaluating optimized benefits of launches on the hub platform.
  • Monitored the platform engagement by assisting in generating data visualization on Google Cloud Data Studio. Achieved a 97% increase in platform utilization in 3 months for the HIPAA dataset.

Smartivity Labs, New Delhi, India                                                                                                                                           May 2019 - December 2019

  • Price strategy- Built a process flow automation system using the MEAN framework and AWS EC2 instance.
  • Streamlined the product development lifecycle reduction by 23% by predicting product price factoring employee hours, salary, and raw material cost. The efforts resulted in an uptick in revenue of ~8%(Q-3).
  • Compared the Q-2 and Q-3 revenue trends to identify the most revenue-contributing products and cross-validated the impact of deployed software. Concluded that STEM products contributed 47% of the total revenue.
  • Collaborated with the product designers to assess 75+ product dimensions and devised an O(n^2) algorithm to solve inventory packaging imbalance. The algorithm was able to save an average of $0.014 per unit per product.

Awign Enterprises, Bengaluru, India                                                                                                                                           May 2018 - August 2018

  • Built a python script for Exploratory Data Analysis, sourcing leads to conduct audits for OYO, the largest hotel chain in India.
  • Used SAS to visualize tourism in different cities of the state of Jammu and Kashmir. Received a pre-placement offer for a data engineer position.