Academics

Education

Master of Computing (Specialization: Artificial Intelligence)
National University of Singapore (NUS), Singapore – CGPA: 4.33/5
Relevant Coursework – Big Data Analytics, Data Mining, Neural Networks, Uncertainty Modelling, AI Planning

Bachelor of Technology, Computer Science
National Institute of Technology, Srinagar – CGPA: 8.95/10
Relevant Coursework – Probability theory & Statistics, Intro to AI, Cloud Computing, Database Management

Publications

[1] Identifying Worry in Twitter: Beyond Emotion Analysis

Verma, Reyha & von der Weth, Christian & Vachery, Jithin & Kankanhalli, Mohan. (2020). Identifying Worry in Twitter: Beyond Emotion Analysis. 72-82. 10.18653/v1/2020.nlpcss-1.9.

Paper | Bibtex

[2] A Comparative Analysis of Deterministic Sorting Algorithms based on Runtime and Count of Various Operations

Verma, Reyha & Singh, Jasbeer. (2015). A Comparative Analysis of Deterministic Sorting Algorithms based on Runtime and Count of Various Operations. International Journal of Advanced Computer Research. 5. 380.

Paper | Bibtex

Projects

Risk Pulse Monitor
  • continuously collects and analyses huge volumes of data from Twitter and predicts user worries, thereby, capturing the risk pulse of the demography/country.
  • currently being used at LRFI (Lloyd’s Register Foundation Institute for the Public Understanding of Risk) at National University of Singapore (NUS).
  • part of my Masters (M.Comp) dissertation at NUS under Prof. Mohan Kankanhalli.
Analysis of women behaviour using social networks
  • part of my Bachelors (B.Tech) thesis at National Institute of Technology, Srinagar under Dr. Shaima Qureshi
Problem Redressal System
  • winter intern project at BARC (Mumbai) where I revamped the system by adding new modules, carrying out intensive system testing and fixing existing bugs.
16983
  • A modified version of 2048. Made just for fun. Give it a try here!

Skills

Programming Languages: Python, R, SQL, Scala, C, HTML, CSS, JavaScript

Big Data/Machine Learning: TensorFlow, Python (e.g., scikit-learn, numpy, pandas, matplotlib), Spark, Hadoop, Jupyter

Data Science and Other Technologies: pipeline (cleaning, wrangling, modeling, interpretation, visualization), social media analytics, MongoDB, Git, Elasticsearch, Docker, Apache Kafka, Amazon S3 & Mechanical Turk, APIs, MS Excel