Hello!! I am Garima Chaturvedi. I am a software engineer and I have 1 year of work experience as a Software Engineer and 3 years in Database and Query Optimization.

I graduated from The State University of New York at Buffalo with a Masters degree in Computer Science in Dec-2016. I studied and enjoyed courses like Machine Learning, Distributed Systems, Analysis of Algorithm and Design, Data Mining, Data Intensive Computing, Information Retrieval, Computer Security and Computer Vision during my masters.

I love to paint, sketch, listen to music and watch series. I also love to dance when no one is watching and to sing even when people dont want to listen to it. :)

And one more thing, I love tea.

Handwritten Digit Recognition

Developed Neural Networks Logistic Regression, Multi-Class Logistic Regression on MNIST dataset to train the system to identify the digit from a given image. Achieved over 90% accuracy in recognizing new images.

Mobile Amazon Dynamo

Created a consistent and available multi-mobile application to implement partitioning, replication and failure handling for Key-Value Data Storage as per the Amazon Dynamo implementation. Supported insert, delete, query, concurrent operations and recovery after failure using the concept of consistent hashing.

Genomic Data Clustering

Clustered Bio-Medical Gene data with 90% data correctly clustered using K-Means Algorithm implemented on Java and Hadoop, with a 100% data correctly clustered using Hierarchical Agglomerative clustering and 87% data correctly clustered using DBSCAN clustering algorithm. Visualized the clustering results using PCA.

Class Scheduling

Analyzed the Class Schedule Data of University at Buffalo to improve the classroom utilization by using Hadoop Map-Reduce and provided suggestions on better scheduling the classes. Used Tableau to represent the analyzed information in the form of a story.

Multilingual Search System

Built a multilingual search system to analyze twitter data on certain topics and 5 different languages and integrated features like content tagging and sentiment analysis using Alchemy API. Also, built faceted search with the front end.

Image Edge Detection

Detected edges in Gray Scale images by using zero crossing based alorithms- DoG and LoG. Compared the two methods for performance.