Data Science Intern Resume Chicago - Hire IT People

SUMMARY

Big Data Engineer with 3+ years of experience in Hadoop, Spark, Java, SQL & NoSQL Database Systems, ETL and Message queues
Data Science Enthusiast with excellent knowledge in Machine Learning and Statistical Modelling using Python and R

TECHNICAL SKILLS

Languages & Software's: Python, Java, Scala, SQL Server, Cassandra, HBase, Linux, Micro Services, Rest API, Node.Js, Celery

Big Data Tools: Hadoop (HDFS, Map - Reduce), Hive, Sqoop, Spark, Kafka, AWS EMR, Lambda, API Gateway, S3, Redshift

Data Science Tools: Numpy, Pandas, Scipy, Scikit-learn, Keras, Tensorflow, Seaborn, MatplotLib, dplyr, ggplot2, caret, Tableau, D3

Machine Learning: Classification, Regression, Clustering, Feature engineering, Time series, Hypothesis Testing

PROFESSIONAL EXPERIENCE

Data Science Intern

Confidential, Chicago

Responsibilities:

Core member of data and analytics cloud platform team for building ETL framework and analytics engine in Python
Implemented auto ingestion of various file formats and HL7 messages in PySpark using both heuristic & machine learning methods
Developed Hadoop profiler engine in Python which generates dynamic hive queries to prepare data quality metrics and cleansing
Developed and integrated microservices with message queues for scheduling various data processing jobs/services
Implemented auto mapping of disparate medical codes (morphology) to its standard target class using Developed K-means Clustering and KNN algorithms

Data Engineer

Confidential, Chicago

Responsibilities:

Developed data transfer utility in python using Sqoop to incrementally update hive tables in Cloudera cluster from SQL Server
Identified patterns causing delays in completing research completion in UIC by Hive queries & tableau visualizations

Project Intern

Confidential, Chicago

Responsibilities:

Designed revenue forecasting for sales data using ARIMA models in R which helped adjusting the new target to the sales team
Implemented Survival Analysis Model in Python to classify the sales opportunity, and communicated these solutions to executive stakeholders using Seaborn visualizations

Software Development Engineer-II

Confidential

Responsibilities:

Acquired ratings and review data from Cassandra servers and built a recommendations engine using collaborative filtering for Video on Demand service in Confidential Set-Top Box Service resulted in increased VOD usage
Built a deployment ready regression model to determine the project burndown by acquiring data from multiple sources like Jira, Rally and created a dashboard using D3 visualizations which helped project stakeholders to allocate resources based on trends
Developed Java based web application to network provisioning, discovery and assurance of L3VPN and SONET services

Software Engineer

Confidential

Responsibilities:

Implemented Jenkins log parsers using regex for identifying errors/warnings patterns which helped in resolving build failures quickly
Introduced TDD and optimized the apache ant build scripts by managing dependencies which reduced Jenkins build time by 50%