Software Developer Machine

Megha Mehra

Tableau Visualizations Portfolio: https://public.tableau.com/profile/mm6130#!/

**************@*****.***

About Me

Programming Languages: Java * Python * R * SQL

Analytics: iPython * Spyder * Excel/ VBA/ Power Pivot * Tableau

Machine Learning: Naïve Bayes * K-Nearest Neighbor * Kernel Support Vector Machine (Kernel SVM) * Random Forest (Regression & Classification) * Artificial Neural Networks (ANN) Convolutional Neural Networks (CNN) * XGBoost * Natural Language Processing (NLP)

Certifications: Certified ScrumMaster (CSM) Awarded on March 23, 2015

Education

Bachelor of Science, Computer Science

Regis University (Dec 17, 2013) GPA 3.524

Relevant Coursework

Machine Learning * R * Python * Tableau

Technical Writing

University of California Berkeley (June 30, 2018) Grade A

Experience

Jan 2016 – June 2018 Worked as a private math tutor with Varsity Tutors while taking courses in data science

Lockheed Martin (Contractor for Viper Technology Services)

Java Software Developer Jul 2015 – Nov 2015 Program: ALIS F-35 Sustainment

Detected and resolved code defects involving Spring MVC, SQL (procedures, views and triggers), JMS etc. in the Squadron Health Management (SHM) application. SHM is a tracking and monitoring application for part installs, maintenance debrief and submission of work orders/ service tickets for the aircrafts in the system.

American Express (Contractor for Syntel Inc.)

Software Developer Jun 2014 – May 2015 Program: Secure File Transfer (SFT)

Involved in troubleshooting and resolution of code defects on applications which are used to provide file transfer functionality by interacting with each other using message queueing.

Projects

Deep Learning Image Recognition: Built a convolutional neural network (CNN) model in Python using the Tensorflow package to detect dog and cat images among 10,000 animal images.

Predictive Modelling: Built a XGBoost model in R on bank consumer data to forecast which customers are likely to leave the bank. This model obtained an accuracy of 86%.

Contact this candidate