I am an enthusiastic student looking for opportunities to prove myself.I specialize in the field of Machine Learning.
These are some of the projects I have built as part of my college work and participating in competitions
Using Probabilistic Tag Modeling to Improve Recommendations
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User behaviour on a website is extremely valuable information which helps to identify the similarities among users and help to target a subset of users in a better informed and more informed ways.
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In this project we modelled the information in form of a knowledge graph with
Nodes -> search term in the websites
Edges -> clicks and purchases on a product after the search -
After creating such a structure we applied walktrap community detection over the graph to cluster the similar search terms together. The pagerank algorithm was applied over every sub-cluster to find out the central tag in the every sub-cluster. Various algorithms were then applied to provide recommendations. For further information please see this file
http://ml4ed.cc/attachments/GokkayaUsing.pdf
Automated Land use classification Using AI/ML
- Develop a deep-learning based software for automatically classifying land-use from multi-temporal multi-spectral high-resolution satellite imagery. The developed model should be scalable/efficient to allow rapid mapping of incoming datasets and must incorporate a web-based viewer for visualizing input as well as classified output. The viewer interface must also allow the user to visualize changes that have occurred within a given timeframe.
Semantic Classification of call-center conversations
- We created a tri-layered Dockerized pipeline for analyzing and understanding customer satisfaction in cal-center calls.
- Diarization - Aalto ASR software to diarize i.e. to separate the voices among the call-center employee and customer
- Transcription - Using Mozilla deepspeech model to create a transcript of the audio. Used transfer learning to improve the accuracy of the model on Indian English
Emotion Analysis - Tried out different approaches to understand the emotion of the customer from customer voice during various periods of the call and assign a composite score at the end of the call
Projects
OnTime
Be OnTime AlwaysJobLo - Recruitment Assistant
Recruitment Assistant using Job Profile FilteringReact, Flask, spaCy, Beautiful Soup, SQLite, Natural language processing (NLP), Natural Language Toolkit (NLTK)Skills
Experience
- Olcademy - Artifical Neural Networks InternMarch 2020 - July 2020
- Researched on the various techniques for creating an effective recommendation system which can effectively leverage the amount of data collected by the organization and be scalable at the same time
- Created a pipeline for adding the user background information into the recommendation system to improve its effectiveness.
- Received a letter of appreciation for my efforts in building the recommendation system
Created a recommendation system based on the constructed knowledge graph to more effectively cater to the users in the system - Modelled the interactions of user with the website including clicks, purchases and wishlists into a knowledge graph which can be used to find the most utilized products in the environment
- Omdena - Junior ML EngineerAugust 2020 - October 2020
- Participated in satellite image acquisition for the project "Modelling financial Well-being using satellite imagery and Remote Sensing"
- Worked on training, improving and optmizing the model architecture for predicting economic and social development data using the 2011 Indian Census data
- Working on layering the relevant financial, infrastructural data on satellite imagery for creating a baseline model to derive the general well-being of the populace
- World Resources Institute - InternOctober 2020 - Present
Working on extracting information and data preparation of electricity consumption of Tamil Nadu from various publicly available sources and using it for further steps to the analysis pipeline