About Me

I am a self-motivated Machine Learning enthusiast. My areas of interest include Data Science and Computer Vision. With dynamic skills and academic acumen, I aim to enhance my skills sets and share learnings, and make a significant contribution to the domain of Machine Learning. I am currently focussing on gaining industrial expertise that would supplement my education.

As a Data Scientist with a software engineering background, I uncover insights and develop data-driven solutions for the Forge community at Autodesk, to enable our squads to make better decisions and adopt best practices. I graduated from the Masters in Computer Science program at Georgia Institute of Technology in December 2018, with a focus on Machine Learning. I completed my Bachelors in Computer Engineering from the University of Mumbai in August 2017. I have also completed a certificate course in Global Management Practices and Leadership Strategies from Saint Mary's College of California during an international student exchange program in February 2016.

Outside of academics I am an avid reader and an enthusiastic writer. I am also a trained dancer, and I appreciate the different performing arts. My leisure time activties include painting (acrylic and watercolor), and trying my hand at craftwork to unleash the creativity within me.

Contact Details

Nidhi Menon
(415)574-0535
p.nidhimenon@gmail.com

Education

Georgia Institue of Technology

M.S. in Computer Science (Specialization in Machine Learning) Aug '17 - Dec '18

I graduated from the Masters in Computer Science program at Georgia Tech in December 2018, with a specialization in Machine Learning. At Tech, I have explored different domains within the field of Machine Learning. During my time there, I worked as a Graduate Research Student for a year (Spring 2018 & Fall 2018) under Dr. Dobromir Rahnev, on a project that was at the intersection of Computer Vision and Deep Learning. I also served as a Graduate Teaching Assistant for an undergrad course in Computer Vision under Dr. Devi Parikh in Fall 2018.

Outside of academics, I was an active volunteer with the GaTech chapter of Asha for Education, a not-for-profit organization that works to ensure that children in India aren't deprived of the access to education, and a member of the India Club at Georgia Tech (ICGT). I am currently a part of the Student Alumni Association (SAA) at Tech.

Mumbai University (Pillai College of Engineering)

B.E. Degree in Computer Engineering Aug '13 - May '17

As an undergrad student in Computer Engineering, I was always enthusiastic about competitive coding and I've represented my institute at the pre-finals of TCS Codevita, and regional finals of ACM-ICPC at Coimbatore. My team ranked 5th amongst 8 finalists in Smart India Hackathon 2017, an initiative by the Government of India at the national level. In my junior year, I was part of an international student exchange program to Saint Mary's College of California where I completed a certificate course in Global Management Practices and Leadership Strategies. I won the Outstanding Undergraduate Student Award in my senior year for my achievements.

Work Experience

Data Scientist

Autodesk Inc., San Francisco, CA Jan '19 - Present

I enable Autodesk's Forge Engineering community to understand and drive the scope of data available by interpreting the data via tools and methods from statistics and machine learning to help detect & forecast potential catastrophic failure, and to determine successful patterns to improve productivity for squads. My work also involves establishing techniques and a set of baselines to understand the quality of products, and maturity of engineering practices to provide guidance to the organization and to sub-groups that will allow good decision making.

Graduate Teaching Assistant

GeorgiaTech, Atlanta, GA (Advisor: Dr. Devi Parikh) Aug '18' - Dec '18

I was a Teaching Assistant with the School of Interactive Computing for CS 4476 : Introduction to Computer Vision in Fall 2018 for a class of 165 students. The responsibilities included co-ordinating with the teaching team to ensure smooth functioning of the course, grading students' assignments and projects in MATLAB or Python, and holding TA office hours.

Data Science & Machine Learning Intern

Autodesk Inc., San Francisco, CA May '18' - Aug '18

I interned with the global Agile & Transformation Practice Team at Autodesk in summer of 2018. I deployed a framework and supporting dashboard to provide key descriptive statistics that aid the global Agile Practice coaches to gain insights for iterative improvement of teams for 84 products, at different hierarchies of the organization. I also trained neural networks to predict team velocities for ~1000 teams, and maximize organizational profits by at least 5%. I got the chance to deliver a proof-of-concept to analyze corporate GitHub data and track contributions to open-source projects in the Media & Entertainment sector, to estimate success rate of the company-wide shift to open source.

Graduate Research Student

GeorgiaTech, Atlanta, GA (Advisor: Dr. Dobromir Rahnev) Jan '18' - Dec '18

I was a research student at the Perception, Neuroimaging, and Modeling Lab in the School of Psychology for almost a year. To complement the ongoing research at the lab, I engaged neural network models (VGG-16, VGG-19, Resnet50, InceptionResnetV2) in computer vision tasks of object identification and classification for hybrid images to evaluate results of neuroimaging techniques. I also conducted comparative analysis on visual perception and decision-making skills of humans and machines.

Software Intern

Smartturtles Software Labs Pvt. Ltd., Mumbai, India Aug '15' - Feb '17'

I got a taste of the startup work culture during my internship at Smartturtles where our team built web applications for clients. My focus was more on client-side programming, using agile methodology to meet the quality metrics and suit diverse customer needs. I also performed manual testing on the built applications to ensure that they met customer needs before deployment and delivery.

Project Trainee

LTI (L&T Infotech), Chennai, India June '15 - July '15

I spent the summer of 2015 after my sophomore year at LTI (formerly known as L&T Infotech) where I was a part of the team that designed a secure browser-based portal called Epic Essentials for the Strasz Exam Management Suite. This portal was enabled with project management functionality for certification and testing organizations to deliver better tests quicker and more efficiently, while eliminating data errors caused due to use of separate systems.

Publications

Floor Layout Planning Using Artificial Intelligence

Vol. 6, Issue 4, International Journal of Innovative Research in Science, Engineering and Technology (IJIRSET) April '17

Abstract:

In the era of e-commerce while buying furniture online the customers obviously feel the need for visual representation of the arrangement of their furniture. Even when doing interiors of the house it's difficult to just rely on assumptions about best layouts possible and professional help may become quite expensive. In this project, we make use of Genetic Algorithm (GA) which is an Artificial Intelligence technique to display various optimal arrangements of furniture. The basic idea behind using GA is developing an evolutionary design model. This is done by generating chromosomes for each possible solution and then performing a crossover between them in each generation until an optimum fitness function is reached. Modification in chromosome representation may also be done for better results. The proposed system will generate different layout designs for the furniture keeping in consideration the structure of a master bedroom.

Keywords:

chromosome, genetic algorithm, genetic operators, layout generation

Paper: PDF

Skills

Languages:

Python, SQL, GraphQL, Java, MATLAB, C, D3.js, Chart.js, React.js, R

Tools:

AWS, WEKA, Tableau, PowerBI, PostgreSQL, TensorFlow, PyTorch, Microsoft SQL Server, Shiny, Azure, Hadoop

Operating Systems:

Macintosh, Linux, Windows, Cloudera

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