Hi! I am

Vardhini Manivannan

I'm a

About

About Me

I'm currently a Business Intelligence Engineer at Amazon. I'm a quick learner who loves working with data and solving problems using technology. I did my bachelor's degree in Computer Science Engineering. After that, I worked at PayPal as a Software Engineer and have developed web applications using Java and ETL Informatica batches. As a Data Engineer, I worked with large volumes of data when designing efficient ETL code to generate data for analysis. After being on the tech side, I wanted to learn more about the other side. Hence I did my master's majoring in Business Analytics and worked on a project with California Pacific Medical Center Research Institute (CPMC - RI) where I automated the data pipeline and built interactive dashboards for data analysis and reporting.

Blogs

Blogs

Adobe Analytics Challenge - 2019

Nov. 04, 2019 Tejasvini Karunakarbabu

UC Davis MSBA Team Takes 2nd in Adobe Analytics Challenge.

Team Productivity Model

Jan. 20, 2020 Vardhini Manivannan

A Stanford study found that even the mere perception of working collectively on a task can supercharge our performance.

Embracing Analytics

Feb. 03, 2020 Vardhini Manivannan

One of the most promising areas where big data analytics can be applied is healthcare. Healthcare analytics has the potential to reduce the costs of treatment, find new ways to treat diseases and improve the standard of life.

How to win the Client's Trust

May. 22, 2020 Vardhini Manivannan

Reflection on my Practicum Journey with a Medical Research Institute

Projects

Projects

Analyzing job postings

Analyzed the job requirements to find out key skills required for each title by applying NLP on web scraped data. Used ML models to classify the salary based on skills, experience, title and location.

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Story of world CO2 emission

A short story of how the CO2 emissions have changed over time conveyed by a series of visualizations based on the world CO2 emissions data.

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User review Analysis

Analyzing user reviews stored on MongoDB by creating a weighted average of the user votes on reviews using MapReduce. Migrated the MongoDB documents to a structured database on MySQL to understand the difference.

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Are you Diabetic?

Developed a prediction model to identify if a patient is prone to diabetic or not based on their health profile. This would allow physicians to take preventive actions to improve the patient's health.

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Certifications

Certifications

Publication

Agent Based Health Monitoring of Elderly People in Indoor Environments Using Wireless Sensor Networks

Madras Institute of Technology

ScienceDirect

  • Published in the 4th International Conference on Ambient Systems, Networks and Technologies (ANT 2013)
  • Published in the 3rd International Conference on Sustainable Energy Information Technology (SEIT-2013)
  • Education

    2019-2020

    Master of Science in Business Analytics

    University of California, Davis

    Honors: Beta Gamma Sigma academic honor society

    Coursework: Data Design and Representation, Data Visualization, Machine Learning, Big Data Analytics, Statistics

    2008-2012

    Bachelor of Engineering in Computer Science

    Madras Institute of Technology, India

    First Class with Distinction

    Coursework: Programming and Data Structures, Design and Analysis of Algorithms, Database Management Systems

    Experience

    Current

    Business Intelligence Engineer

    Amazon
    2019-2020

    Project Manager & Data Engineering Lead

    MSBA Practicum Project - CPMC Research Institute
    • Delivered a scalable data platform using MySQL hosted on AWS. Designed and implemented the data pipeline to ingest drug screening data eliminating the need for manual efforts
    • Developed regression models to calculate the key metrics for drug screening analysis
    • Consolidated historical data and performed data wrangling using Pandas and NumPy in Python
    • Implemented dashboards using research KPI’s in Tableau to perform drug screening analysis reducing its time by 40%
    2015-2017

    Software Engineer 2

    PayPal, India
    • Designed and developed ETL module for reconciliation that loads millions of transactions to Data Warehouse using data analysis to translate business requirements to technical specification
    • Automated file archival logic using Unix scripts, removing need for 95% of manual disk space maintenance
    • Headed the fine tuning of ETL batches to maintain consistent run time while processing high volume of data
    • Analyzed data from multiple sources to debug data issues in financial reports and fixed it within SLA
    2012-2015

    Software Engineer

    PayPal, India
    • Implemented a generic balance calculation module to handle different time zone requirement using configuration files. Eliminated the need to develop new batches for each time zone
    • Conducted knowledge sharing sessions for new hires and achieved 40% faster ramp up time
    • Developed web application for data retrieval using Java Spring reducing the team-wide workload by 25%

    Skills

    SQL

    Python

    R

    Tableau

    Machine Learning

    Informatica

    AWS

    Spark

    Data warehouse

    Data Analysis

    ETL

    Java

    Awards

    2019

    First Runner up

    Adobe Analytics Challenge

    Analytics-focused business case competition where we were given the opportunity to use Adobe’s analytics products and access to real-world data to improve user experience and revenue for the organization by using web analytics.

    2015

    Spot Award

    PayPal

    Recognized for excellent contribution towards the Informatica batch optimization and Oracle SQL query performance tuning project.

    2015

    First Place Winner

    Grace Hopper Conference India Hackathon

    Developed a platform for connecting volunteers to people with disabilities, dynamically using Meteor (javascript framework) and Mongodb.

    Volunteering

    2016

    Girls In Tech

    PayPal, India

    Taught computer science and gave career guidance to school girls who did not have much exposure to technology

    Contact

    Contact Me

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