Featured Projects

Putting knowledge into practice.

Reddit Hyperlink Network
Determined how different categories of subreddits were linked to one another and fetched useful graphical insights using Neo4J, Tableau, D3.js, and Python
Text Classification using NLP
Tweet sentiment from 2015 to 2017 in context to US presidential election using NLP techniques such as Text Categorization, Word2Vec (Gensim), TF-IDF, and proved gender biasing on the Twitter dataset
Tools used:
StackExchange Recommendation System
Implemented an algorithm to check how posts were related to one another based on similarity measures and make suggestions to users
New York Taxi Prediction
Predicted the duration of taxi rides in NYC based on features like trip coordinates or pickup date and time and determining poor connectivity areas
Implementing an Inverted Index
This project is about implementing an inverted index using Apache Spark for building the index and a relational database (e.g. SQLite) for storing the index. Tools used: Python(Pyspark), SQLite, NLTK package, Mapreduce
Visualizing Movie ratings | Recommendation system
In this project, we sought to understand temporal patterns affecting movie profitability, see how popular genres change over years, identify important actors and directors, and observe changes in movie ratings and vote averages over time

For more projects visit my GitHub.

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