Software Engineer Data

HAMSINI SANKARAN

San Jose, CA-***** 669-***-**** *******.********@****.***

https://www.linkedin.com/in/hamsini-sankaran/ https://github.com/Hamsini92 EDUCATION

Masters in Computer Engineering, GPA: 3.42, San Jose State University Aug 2018 Bachelor of Engineering in Electrical and Electronics, GPA:3.92/4, Anna University, India May 2014 RELATED COURSEWORK

Data Structures and Object Oriented Programming, Big Data, Cloud Computing, Full Stack Development, Network Programming and Application, Network Security, Machine Learning., SKILLS

• Programming languages : C++ (Proficient), Python (Intermediate),Java

• Cloud Technologies : AWS, Digital Ocean, IBM Bluemix

• Libraries : Scikit, pandas, TensorFlow, D3.js

• Software tools : GNS3,Wireshark,Git Version control, Docker

• Web Technologies : Node JS, HTML5, CSS

• Big Data : Hadoop, Apache Spark, Apache Kafka

• Databases : MongoDB, MySQL

WORK EXPERIENCE

Graduate Research Assistant, San Jose State University May 2017 - Mar 2018

• Assisted the research team in the Smart City Vision project in developing an Unmanned Aerial Vehicle to detect and clean up graffiti on the walls in the city of San Jose using Deep Learning models.

• Improved the accuracy in the detection of graffiti images (currently at 93 percent) through a semi autonomous drone.

• Classified the graffiti images using TensorFlow's SSD mobilenet model and Python to ensure that the drone differentiates between graffiti and non-graffiti images.

• Led the image processing team of five and organize weekly status meetings. Software Engineer at Larsen &Toubro InfoTech, Chennai, India July 2014 - June 2016

• Underwent boot camp training in C++, SQL, Web technologies and mainframe for a period of six months.

• Developed online screens using COBOL modules and DB2 database that assist in generating travel insurance.

• Increased the number of customers by 80000 by designing robust validation modules.

• Awarded the best team member for independent analysis of the requirements.

• Rectified production defects and played a major role in increasing the revenue of the project by $25,000. ACADEMIC PROJECTS

Multiple Camera based Intelligent Traffic Surveillance - NVIDIA AI City Challenge 2018 Jan 2018 - Present

• Gather real-time multiple camera based vehicle data and develop Intelligent Traffic Surveillance System.

• Employ Deep learning algorithms using python to detect traffic anomalies due to stalled vehicles and car crashes, and generate an alert message.

Earthquake Data Analysis Aug 2017 - Nov 2017

• Gathered real-time Earthquake data from USGS website and performed seismic activity analysis.

• Employed CRISP-DM approach to predict the major seismic epicentres all over the world using KNN algorithm and classified the severity using decision tree in R program.

• Developed a dashboard using Shiny to visualize the fatality rate, frequency and major seismic epicentres in the USA. Customer Data Analysis and Visualization March 2017 - July 2017

• Gather thousand lines of customer transactional data, feed them into a database and build deep learning models in python to categorize and distribute money in buckets.

• Create powerful visualization tools using python and D3.js to create insights from the data that would help the end user in managing money.

• Visualized the insights acquired from the data using d3.js library. Lexical Analysis using R Programming on Iphone tweet Sep 2017 – Nov 2017

• Gathered around 2000 tweets on "Iphone 8 " using R and twitter API.

• Performed data analysis using R scripts to estimate the positive and the negative score of the tweets.

• Led a team of two to visualize the results through histograms, pie charts and developed a dashboard for user interaction. Smart Parking Application Sep 2017 – Nov 2017

• Implemented a smart parking application on android to enhance the features of the existing parking application..

• Led a team of four to help the people locate available parking spots using server side technologies like XAMPP, PHP phpMyAdmin and MySQL.

• Developed a retrieval based Chabot to help the customers query details during emergencies. Crowd Sourced Testing Services for Mobile Applications May 2017 - May 2017

• Implemented and validated a crowd sourced testing environment for mobile applications and deployed on Amazon web services using a MEAN stack web application.

• Created dashboards for testers and managers that instrument the status of the current projects, bug reports and the testing tools.

• Handled network traffic efficiently using AWS load balancing technique. Implementation of Message Queue Telemetry Transport (MQTT) protocol Sept 2016 - Nov 2016

• Analyzed and improved the performance of the MQTT protocol in Facebook Messenger through open source Paho Eclipse and Wireshark to ensure good network connectivity in Internet of Things (IOT) applications.

• Established connectivity between a publisher and a subscriber using Python scripts and Mosquitto broker to distribute the messages.

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