Master's in CSE from Santa Clara University, Santa Clara, California, USA
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Santa Clara University
Data Scientist
June 21, 2026 – Present
LeetCode_For_Interviews
July 29, 2020 – August 29, 2022
LeetCode Questions for Interviews.
View ProjectE-Commerce-Application
July 27, 2020 – July 27, 2020
Spring Demo for an E-Commerce Application
View ProjectTwitter-Streaming-Using-Kafka-ES
February 28, 2020 – May 20, 2022
• Implemented end to end data pipeline for collecting live stream of tweets from Twitter. Created a Twitter developer account and an application in it. Using the Twitter API & Access tokens and keys from this app, user can collect live stream of tweets for the interested topic of tweets in real time. • 4 different Maven modules for Java in backend illustrating 1) Idempotent Kafka Producer to get data from Twitter API into Kafka Topic. 2) Idempotent Kafka Consumer to get data from Kafka & storing it in ElasticSearch hosted in bonsai.io cloud. 3) A custom Java class for filtering Twitter tweets based on followers count & other features. 4) Performance improvement using Batching with Bulk Request Handling, Exception Handling for bad data, Multithreading and Logging. • Stored data locally in PostgreSQL with schema enforcement using Avro. Tested REST proxy using Insomnia client.
View ProjectApache-Spark-Kafka-POC-s
September 17, 2019 – September 5, 2023
Implemented Spark machine learning Pipeline on AWS EMR for Collaborative Filtering to recommend users which online educational course they should take based on their viewing history. Target audience found using K-Means clustering over 2 billion data rows. • Using Kafka & Spark Structured Streaming simulated the above models as real time events with a window size of 2 minutes. • House price prediction for California residents based on Kaggle’s 2014/15 dataset using Linear Regression. Narrowed down the customers who were likely to purchase using Logistic Regression & Decision Tree Classifier along with Random Forests to choose the best performing model.
View ProjectMachine_Learning_Algorithms
September 30, 2018 – September 30, 2018
Python implementation of machine learning algorithms like Logistic Regression, K Nearest Neighbors, Decision Trees & Random Forests, SVM, K Means Clustering & Natural Language Processing
View ProjectData_Analysis_and_Visualization_Using_Pandas
September 29, 2018 – September 29, 2018
Using Pandas, NumPy, Matplotlib, Seaborn, Plotly and Cufflinks, the answers for financial crisis of 2007/08 & the most crime affected US regions are visualized with detailed description leading to those events.
View ProjectNinrox_Project
January 27, 2018 – January 27, 2018
Ninrox- a free android game tribute towards Ninjump (android game) and Naruto (anime) It is an infinite looping game in which the main character has jump on either of the walls (present on both sides of the screen) to prevent obstacles or collect power-ups. High Score is calculated on bases of distance covered and stored in a sqlite database.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong interest in data science, big data, and machine learning, which aligns well with a Data Scientist role. The diversity of personal projects, from game development to complex data pipelines, indicates a broad technical curiosity. However, the lack of professional experience beyond a current role at Santa Clara University (which appears to be a future start date) makes it difficult to fully assess cultural fit in a corporate environment. The projects are primarily personal, which is good for skill development but doesn't provide insight into collaborative work or industry best practices.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to learning and applying various data science and big data technologies. The focus on personal projects suggests self-motivation and initiative. However, without psychometric or English test scores, a comprehensive assessment of soft skills, work attitude, stress handling, and team collaboration is not possible.