Software Engineer Resume San Jose CA - Hire IT People

SUMMARY OF SKILLS:

2+ years of Hands - on Data Engineer and Data Scientist at Confidential, San Jose
Designing and developing Machine Learning proof-of-concept
Data scraping, wrangling, and transforming using Pandas and PySpark
Designing Machine learning application using Apache Spark and Scikit-learn
Designing and developing end-to-end Data pipeline
Distributed computing using Apache Spark and Hadoop
Design Interactive Notebook using Jupyter Notebook
Excellent Communication and Presentation Skills

PROFESSIONAL EXPERIENCE

Software Engineer

Confidential, San Jose CA

Responsibilities:

I saved $100K per quarter by replacing commercial text analytics solution with Machine Learning Application.
Designed and Developed Proof of Concept, Unsupervised Machine Learning Application in Python. The program categorizes the Customer Loyalty Survey Documents into different Topics - cluster of similar words, using Probabilistic Clustering Algorithm.
Designed and Developed Proof of Concept Supervised Machine Learning Application in Apache pySpark for Sales Transaction processing - matching of unallocated Sales Transactions to the correct salesperson based on Sales Transaction, Customer and Sales Accounts Data stored in Apache Hadoop
Designed and developed data pipeline using Apache Spark to clean and prepare Customer Survey Data for Machine Learning.
Developed Data Visualization of the Document Cluster to demonstrate high frequency words in each cluster.
Designed Sentiment Analysis Program using R programming language to create Tableau Dashboard of the EPS - Executive Pulse Survey
Evaluate Apache Spark ML API, by writing Machine Learning code in Scala, python and R programming language against large public datasets
Designed and wrote PHP program for SOAP API to read Survey Data from Verint Database
Designed Tableau Dashboard to present Customer Survey Data to the Sales Executive.
Intern Final Project Presentation: Sentiment Analysis of Unstructured Text Data from FY2015 CSAT dataset to Cisco Executives and Managers.
Text Analytics of APAC Executive Pulse Survey (EPS) dataset using R and Tableau 9.0 for developing Dashboard.
Developed a Sentiment Analysis of Twitter feed data in batch mode using R language.
Developed Tableau Dashboard by integrating two data sources FY 2015 Booking Data & FY2015 Executive to compare Booking Data, Customer Loyalty and Verbatim response to 8 open-ended questions.

TECHNICAL SKILLS:

Programming: Python, R Programming, SQL and Hive Query Language

Deep Learning: NVIDIA Digits Deep Learning platform, Caffe, Tensor Flow, Keras and mxnet

Big Data: Apache Spark 1.6/ 2.1 (Scala/Python/R), Spark ML Pipeline, Apache Hive, Apache Drill, IBM BigInsights, and IBM Big SQL

Data Analysis & ML Libraries: Pandas, Scikit-learn, Apache Spark ML library, GraphLab Create

Data Science Environment: Jupyter Notebook and RStudio

Database: Oracle 11g SQL, MySQL, SAP Hana

Public Cloud Service: Amazon AWS and Microsoft Azure

Business Analytics: SAP Predictive Analytics, Tableau 9.0

Web Programming: PHP programming, HTML 5, and CSS

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Software Engineer Resume

San Jose, CA

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