Data Scientist Resume
Plano, TexaS
TECHNICAL SKILLS:
Programming Languages: Java, R, Python
Frameworks: Spark, ElasticSearch, Kibana, AWS (EC2, S3, Kinesis Firehose, EMR), Spring
Database: MongoDB (Certified), Postgres, MySQL
Tools: Used:JMP, SAS Enterprise Miner, Tableau
Machine Learning: Anomaly Detection using Arima, SH - ESD, Predictive Modelling using Random Forest, Logistic Regression, Ensembling, SVM, Cluster Analysis using KNN, Kmeans, Spin-Glass Clustering.
WORK EXPERIENCE:
Data Scientist
Confidential, Plano, Texas
Responsibilities:
- Improved the time to delivery for any big data project by 60% with an Confidential IP called "Zero Code Spark(Alpha)" which is a fast and scalable framework for sparks and its related applications.
- Building an Anomaly detection platform using algorithms like K-means, ARIMA and SH-ESD to help determine anomalies in throughput for 5G related data.
Technologies: Python, Spark, Elastic Search, Kibana, AWS, Machine Learning (Model building & analysis of data)
SDE Intern
Confidential, Seattle
Responsibilities:
- Built a data analytics dashboard to help visualize the current state of orders in near real-time.
- This helped the PMs of the project to visualize the data and take appropriate steps when needed.
Technologies: AWS (S3, EMR), Java, Hadoop, DC.js
Senior Software Engineer
Confidential
Responsibilities:
- Created modules to help mine the point-of-sales data.
- Used Map-reduce on Hadoop and implemented a Linear Regression models in R to help in inventory control.
- This helped the distributors to gain direct insights into the point-of-sales data.
- Won the All-India Confidential Ideation contest for an idea on Big-Data and real-time analytics out of 500 entrants.
- Received of Excellence for excellent work done for the project at Confidential in a team of 40.
Technologies: Java, Hadoop, R
Teaching Assistant
Confidential, California, LA
Responsibilities:
- Worked as a teaching assistant under Prof. Stefan Scherer.
- Aided the professor with course assignments, to give introduction of programming in Matlab and also to help students with the coursework.
Technologies: Matlab