Aishwarya Nair

848-***-****

adbpwn@r.postjobfree.com Hello!Thank you for considering me, a soon-to-be computer engineer with about 2 years of work experience, for a position at your company. I’m a passionately curious person with the work ethic and talent to see my projects through. I love playing with numbers and finding connections in data and truly believe that math has a way of capturing the beauty of the universe in a way few other forms of art or science can. I hope to work As a software engineer and believe that I would make an excellent addition to your team by doing thorough and prompt work. THINGS I’VE GOTTEN GOOD AT

Technical

Languages: Python, Java, C++, Matlab, and

Powershell, some SQL, some PHP

Libraries: NumPy, scikit-learn, openCV, NLTK, PyTorch, Matplotlib

Non-technical excellent problem solving, hard

working, outstanding verbal and written communication and coordination, quick learner, good at analyzing data, agile development WORK I’M DOING AND HAVE DONE

Digital Signal Processing Learning Assistant January 2020-May 2020 RUCDR Student IT Associate April 2017-January 2018, June 2018-September 2018

■ Developed, implemented and explained an application for an internal client to encrypt and decrypt files in PowerShell using GPG Encryption.

■ Tested applications, including full websites to ensure proper functioning as well as to better understand the applications for future reference and documented all testing.

■ Coordinated with PMs to create label formats to fit a clients needs, tested the label and produced the final product. Computer Architecture Presentation November 2017

■ Collaborated with the professor to research and create a presentation on the architecture of the iPhone X, with a focus on chip design and the addition of the neural engine, and presented to a class of approximately 300 people. EDUCATION

Rutgers University, School of Engineering, New Brunswick, NJ - Bachelors of Science in Electrical and Computer Engineering, minor in Psychology May 2020

PROJECTS

■ Implemented clustering on 5004 microscopic cellular images to cluster them based on their dominant color using k-means, mini batch k-means and mean shift clustering.

■ Implemented stock price predictive model on a large dataset (619,040 daily stock closing prices from 2013 to 2018) using gradient boosting for the predictive analysis.

■ Developed a spam detecting system trained and tested on a set of 5572 text messages using logistic regression.

■ Mathematically implemented PCA to conduct feature extraction on a dataset of diabetic (and control, non-diabetic) patient information.

■ Led a team of 8 to define, develop, test and present a software solution for route selection during navigation.

■ Currently leading a group of 4 to define, develop, test and present a product that will analyze a person’s gait (i.e, walking style) and identify them accordingly using machine learning techniques. Once the person has been identified, a song from their playlist is played to welcome them into the room.

AWARDS

Dean’s List Spring, Fall 2018, Fall 2019

FUN FACTS WHERE I LEARNED THE MOST

I completed my training as a Crisis Counselor in October 2019 and have Probability and Random Processes(Statistics) since volunteered to help people in crisis become calm and find coping Programming Methodology II (Algorithms) mechanisms to help themselves. It has been an incredibly rewarding Software Engineering experience and has made me a better communicator. Intro to Comp Systems (OS) Computer Architecture

While working as the team lead on class projects, I became interested in Machine Learning for Engineers Project Management tools and techniques and am adept at Linear Algebra implementing Agile methodologies and documentation (ex: use case definitions) Intro to Deep Learning to a project to improve a teams performance. Quantum Computing Systems I also worked as a student quality associate at RUCDR where I learned about auditing, documentation and training other employees on departmental protocols.

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