Social Media Data

PRANAY SINGHAL

+1-480-***-**** *******.******@*****.*** linkedin.com/in/pranaysinghal11

SUMMARY

MS in Computer Science, interest in Software Development and Machine Learning, seeking job opportunities. EDUCATION

Master of Science, Computer Science Graduating May 2021 Arizona State University, Tempe, AZ 3.5/4 GPA

Bachelor of Technology, Computer Science Graduated 2019 SRM University, Chennai, India 8.0/10 GPA

SKILLS AND TECHNOLOGIES

Programming: Python, C++, Java, R, SQL, HTML, CSS, PHP, JavaScript D3 Frameworks: NumPy, Pandas, Keras, Tensorflow, Scikit-learn, CNN-RNN. Data Science: Power BI, Tableau, Docker, Kubernetes, Google Cloud Platform, Axure PROFESSIONAL EXPERIENCE

Actionable Analytics Lab – Arizona State University, USA: Research Aide Oct 2019 - Present

• Redesigned YouTube Rest API to develop a video database. Preprocessed metadata for YouTube bot channel detection.

• Researched and analyzed cyberthreat patterns to detect cyber-adversarial videos in traditional social media.

• Developed scripts to create a hacking-video database. Performed feature engineering to evaluate metadata like NIMA.

• Performed bivariate analysis of human object detection (YOLO) and speech detection (Google Speech).

• Analyzed with different classification models like SVMs, KNN. Random forest performed best with precision of 87%. TensaX Innovation Lab, India: Data Scientist Dec 2018 - April 2019

• Developed an Autonomous Review System for a client company to review products using facial expressions analysis.

• Contributed to dataset preparation, performed feature extraction using CNN-RNN model. Redesigned Google Speech-to- text NLP model for sentiment analysis and deployed over Google Cloud Platform. NextTech LAB - SRM University, India: AI Researcher-Developer July 2016 - Dec 2018

• Redesigned a CNN-RNN architecture within a team for a Photo Captioning model: NeuralTalk, using TensorFlow and Keras on MSCOCO dataset. The accuracy was increased from 74% up to 85%. IIM Lucknow, India: Data Intern June 2017 - July 2017

• Researched and performed Regression Analytics using R Programming on 3 Harvard Business cases.

• Proposed a Business analytics model of Hotel Pricing trend for 45 different cities to improve the profit strategy. PROJECTS

ASU, Classification using Deep Learning March 2020 - May 2020

• Developed a neural net classifier for the MNIST dataset using Keras-TensorFlow framework.

• Visualized the Convolutional Neural Net model for different hyperparameters. Achieved an accuracy of 99.2%. ASU, Feature Engineering using CGM timeseries Jan 2020 - May 2020

• Analyzed and visualized CGM timeseries data of diabetic patients to study the glucose trends.

• Performed Principle Component Analysis to extract the significant features and abnormal patterns. SRM University, Image Classifier March 2018

• Co-developed a CNN image-classifier built on top of Google’s Inception model. Tweaked hyperparameters of the Neural networks and deployed using Docker. Achieved an accuracy of 95-97% on Flickr dataset. ADDITIONAL

Publications

• Bingyan Du, Pranay Singhal, Victor Benjamin, Weifeng Li. 2020. Detecting Cyber-Adversarial Videos in Traditional Social Media. IEEE International Conference, Intelligence and Security Informatics (ISI), 2020.

• Image Classification using Transfer Learning, International Journal of Control Theory and Applications. ISSN:0974-5572 Vol. 9, No. 40, 2017.

Workshops: Keynote Speaker at Innovator’s Bootcamp – ‘Artificial Intelligence in industries’, MNIT, India. March 2019