I am a Graduate student currently pursuing Master of Data Science at Illinois Institute of Technology.
I have worked on various aspects of data science like building a recommender system to working on big data using tools like HIVE, PIG and Pyspark along with working on NLP techniques to retrieve information.
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Experience
Research Assistant (Illinois Institute of Technology) (2020-2020)
•Examined Chicago Crime Data provided by Chicago Justice Project.
•Structured the data and performed an exhaustive data analysis leveraging python.
•Programmed a predictive model and make a user-interactive interface.
Machine Learning Intern (EPIC MINDS IT PVT. LTD.) (2018-2019)
•Built an image classification model using python to classify plant disease into any of the 10 diseases with an accuracy of 86%.
•Utilized Google Inception v3 model for training along with DJANGO and FLASK to integrate the model with an interface.
•Implemented a web-app Plant Disease Detector to detects diseases in plants.
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Projects
Clustering and Regression Analysis of Gerrymandering: In this project, I applied clustering technique (weighted k-means) to see if I can come up with a better districting plan, and regression analysis to see which factors play an important role in determining voters favoring a particular party.
Restaurant Recommendation System using Yelp Dataset: This was my academic project for CSP-571 "Data Preparation And Analysis". In this project I built a personalized recommender web app using Yelp dataset of restaurants. Various models were tested like Pure Collaborative, Approximate Nearest Neighbour, K-NN, Naive Bayes and Hybrid Maxtrix Factorization on various hyperparameters which were tuned using the library "scikit optimizer". AUC was chosen as an evaluation metric for the models which is a decision-support metric that checks whether customers like the item or not. In this case, figuring out customer preference in general is more important and practical. And for deployment, I used Angular8 and Flask frameworks.
Statistical Analysis of factors influencing life expectancy: There have been studies on factors that affect life expectancy like gender, ethnicity, etc., but there hasn’t been much study done on factors like immunization, which can matter a lot as there are countries where the awareness for immunization is less which may lead to lower life expectancy. Other factors can also play a role like the GDP of that country, etc. In this project, I did a study that puts focus on factors like immunization, social, economic and other health related factors and see if there is any correlation among these factors and predict what can be the life expectancy of an individual who is from a particular country with all the above mentioned factors provided.