Skills

Data Analytics

Machine Learning

Statistics

Databases

Deep Learning

Python

R

Supply Chain

Experience

 
 
 
 
 

Industrial Engineering Intern

Isola Group

Nov 2020 – May 2021 Chandler, Arizona

  • Identified packaging failures and partnered with global teams to design, validate and implement standardized on-demand packaging containers to eliminate shipping-related damages and reduced logistics cost with annual cost savings of $250,000.
  • Created live weekly Capacity Dashboard using Tableau and MySQL, aiding VP of Global Operations and Production Manager in the decision-making process of re-engineering the line by effectively detecting bottleneck stations through improved transparency.
  • Reduced manual interventions, human errors and increased time efficiency by 97.4% (reduction in execution time from 30 mins to 46 secs) of preparing the Press Performance Qualification by automating the process using MS Excel – VBA Macros, saving 220+ labor hours.
  • Applied ergonomic principles to drive improvements in operational quality and enforced 5S culture on tools shadow board, carts and facility layout.
  • Developed work instructions, standardized process flow and provided training to ensure implementation of standard manufacturi ng processes.
  • Implemented kaizen and eliminated bottle neck operations to ramp up production from 1,100 panels/day to 12,500 panels/day.
 
 
 
 
 

Data Science Fellow

Fellowship.ai

May 2020 – Aug 2020 San Francisco, California

Worked on developing machine learning models using agile software development for the healthcare and fashion industry.

  • Wound Tissue Analysis: Worked with Grossman Burn Center to develop a Wound/Burn Classification Application for first responders.
 
 
 
 
 

Data Analyst

Graduate College - Arizona State University

Dec 2019 – Oct 2020 Tempe, Arizona

  • Developed 40+ Tableau reports with multiple dashboards and stories that were used to track and report metrics and KPIs. Wrote scripts to automate reports for ongoing projects, bringing the workforce hours down by 36%.
  • Streamlined SQL queries and fixed the queries that were frequently searched to speed up queries by 15%.
  • Conducted data quality analysis of large datasets using Python and Alteryx to identify and resolve data integrity issues.
  • Prepared technical reports and coordinated with stakeholders and cross-functional teams to improve the business operations.
  • Analyzed and validated qualitative research data of Ph.D. Alumni using QDA Miner to identify factors that contribute to student’s success.
 
 
 
 
 

Data Specialist

Sun Devil Fitness Center - Arizona State University

Sep 2019 – Nov 2019 Tempe, Arizona

  • Created ad-hoc reports by wrangling and analyzing large amounts of unstructured data and make compelling dashboards. Presented the story and insights to key stakeholders and senior executives.
  • Performed discrepancy checks on raw data using Excel [V-Lookup, Pivot tables, Conditional Formatting, Index and Match] to ensure continuity in accuracy and quality of data.
  • Established analytical dashboards to identify key metrics and trends, track spend analysis to facilitate data-driven decision making.
 
 
 
 
 

Research Assistant

Universiti Sains Malaysia

Dec 2018 – Mar 2019 Penang, Malaysia

Bachelor Thesis: Fluid Flow and Heat Transfer Investigations in a Microchannel Heat Sink using Plate Fins at different concentrations of Al2O3 Nanofluids

  • Modeling and simulation of single-phase microchannel heat exchanger to understand it’s hydrodynamic and thermal behavior using ANSYS Fluent 18.1.
  • Validation of CFD models by comparing the present simulated results with the data available in the open literature.
  • Increased thermal properties of the heat exchanger by 33 percent through the incorporation of Al2O3 nanoparticles.
 
 
 
 
 

Industrial Engineering Intern

Caterpillar Inc

May 2018 – Jun 2018 Thiruvallur, India

  • Worked in the materials handling & underground division with practical insights on Off-Highway Truck(OHT) assembly, lower powertrain and painting processes.
  • Resolved issues in the assembly line by conducting a time study to eliminate the non value added activities thereby reducing the cycle time by 13
  • Developed improvised standard operating procedures and work instructions for the assembly & sub assembly of Off Highway Trucks (OHT)
  • Assisted in continuous improvement initiatives to reduce hazards and ergonomic risk s in material handling to ensure a safe working environment.
  • Facilitated manufacturing process implementation for New Product Introduction (NPI) on transmission and final drive assemblies.

Projects

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40 Years of Music Industry

Tableau visualization to show how music entered the Digital Era

Acceptance of Homosexuality

Tableau visualization to show the percentage acceptance of homosexuality by country

Avocado Price Prediction

Analyze and predict the prices of Avocado sold in the U.S using Facebook Prophet.

Breast Cancer Classification

Machine Learning Approach to develop classification models for Breast Cancer diagnosis.

Capstone Project - Location Based Recommendation System

Using K-Means Clustering to segment Arizona neighborhoods based on a customer search query to recommend where to open a coffee shop.

Credit Card Fraud Detection

Applied predictive models to analyze behavior patterns in the imbalanced data set to identify fraudulent transactions.

Image Classification

Trained CNN from scratch with various optimizers and compared its performance with pre-trained VGG 16 using Transfer Learning techniques.

Route Planning and Optimization

Developed an optimization model to predict the most optimized driving routes using AMPL Solver.

State of Remote Work

Tableau visualization to show why people are interested in working remotely

UK Visits Abroad

Tableau visualization to show the trend in overseas travel to U.K.

Unemployment Rate

Tableau visualization mapping poverty caused by unemployment in U.S

Contact

If you think that I can contribute to your organization/non-profit - Get In Touch!