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Posts

Blog Post number 4

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Blog Post number 3

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Blog Post number 2

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Blog Post number 1

less than 1 minute read

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

projects

Carbon Dashboard

I worked on the project Carbon Dashboard, which provides granular insights and analysis of carbon emissions across buildings—developed a Time Series Model using Machine Learning to predict the attendance of people, to allow better planning, reducing the wastage of resources and carbon emission. Used features like trend, seasonality and correlation for tuning the model. Tech stack used: PySpark, Python, SQL, Databricks, PowerBI and Azure services. I worked on this project during my internship at Microsoft. The project achieved 2nd place globally in the domain Hack for Sustainability at the Microsoft Global Hackathon 2020.

Machine Learning Algorithms for Structural Health Monitoring

Built deep learning models for Monitoring the Health of Building Structures which allows keeping track of structural damage using features like inter-story drift ratio and data from accelerometer signals. Used CNNs on simulated accelerometer data for classifying structural state based on damage. This can help address vulnerable structures and prevent the loss of life and property after a natural disaster. Worked on the project during my internship at CEERI Pilani. GITHUB

Modelling The Cognitive Functions of Consumer Behaviour

This project aims to predict consumer behaviour using brain wave measurement technology and machine learning. Processed the collected brain data‑EEG signals using MATLAB EEGlab toolkit. Developed a Machine Learning Model in Python to predict consumer behaviour using classification algorithms like K‑ Nearest Neighbors and Random Forest on the processed EEG data. This project was done under the guidance of Prof. Bharat Deshpande, BITS Pilani, K K Birla Goa Campus. GITHUB.

Markov Chain Model For Natural Language

Used a Markov Chain to create a probability distribution of each successive letter depending on the preceding letters for a piece of English text. Simulated Markov chain to generate pseudo‑random text in Java from this probabilistic distribution. GITHUB

publications

talks

teaching

Teaching Assistant, CSF111: Computer Programming

Teaching Assistant, Birla Institute of Technology and Science, 2020

I was a Teaching Assistant for the course Computer Programming at BITS Pilani K K Birla Goa Campus (Jan 2020- May 2020). The course covers fundamentals of Computer Programming along with a lab component for programming in C for first-year students. As a teaching assistant, I solved general doubts during weekly C programming labs, set up coding questions, evaluated and conducted labs.