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Software Developer

Atlanta, GA
March 30, 2019

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Aditi Kasat

216-***-**** LinkedIn - aditikasat


• 4+ years of professional work experience in Software Development.

• Proficient in using front end technologies like HTML, CSS, JavaScript, JQuery.

• Excellent problem-solving and debugging skills.

• Strong understanding of Object Oriented Programming and Design.

• Good understanding of REST web services.

• Experience in fast-paced (CI\CD) work environment using Agile Methodologies.

• Complete understanding of Data transformation process and ETL transformation.

• Proficient with UNIX/Linux tools and utilities.

• Familiarity with Docker and Kubernetes.

• Exposure to Hadoop Eco System (HDFS, PIG, HIVE, Kafka) and Apache Spark. EDUCATION

Kennesaw State University Master of Science in Computer Science (GPA – 3.93/4) Jan 2017 - Dec 2018

Shri Vaishnav Institute of Technology and Science Bachelor of Technology (GPA – 3.6/4) Jul 2007 - Jun 2011


• Languages:

C/C++, Java, Python, R, PL/SQL, Groovy

• Databases:

MySQL, Oracle11g, MongoDB, PostgreSQL, NoSQL

• Web Technologies:

HTML, CSS, JavaScript, jQuery, Bootstrap, Angular, Node.js, Spring, PHP, XML, JSON, SOAP

• Operating Systems:

Linux/Unix (Bash/Shell Scripting), Windows, MacOS

• Certifications:

Amazon Web Services Certified Associate Developer

• Tools:

ELK, SOAP UI, HP QC, Maven, Jenkins, JMeter, Tableau, Git, WebLogic, Jira, Postman, Eclipse

• Big Data Exposure:

Apache Spark, Hadoop, Machine Learning

• Networking:

TCP/IP, HTTP, SMTP, FTP, DNS, Socket Programming


Sita Aero

Software Developer Intern (Jun 2018 - Present)

Project: Availability Proxy(AVP)

Role: Developer

• Involved in fixing defects, developing new features, testing functional and non-functional requirements for AVP which is a SOA based application.

• Debugging and fixing the failures by checking server logs.

• Working on creating a diagnostic test suite for testing the entire application’s health using SOAP UI.

• Performing functional testing of AVP application using SOAP UI for SOAP Web Services.

• Maintaining documentation for easy knowledge transfer.

• Investigate and analyze root causes of technical issues.

• Scaled up the performance of the AVP application from 400tps to 1800tps using Apache JMeter.

• Working on ELK (Elasticsearch, Logstash, Kibana) for contextual logging and creating Dashboards. Tata Consultancy Services

System Engineer (March 2012 – Oct 2015)

Project: Jaguar Land Rover Limited

Role: Developer (May 2015 - Oct 2015)

• Performed Data Warehouse analysis and Automation testing on large data using Agile methodology.

• Developed a communication interface of the Jaguar Land Rover car engine production line and SAP ERP system.

• Developed and implemented an efficient path for data transfer from the shop floor PLC to the SAP ERP system at the first stage of the production line.

Project: Asset & Energy Management System

Role: Operations Lead (Apr 2013 - Apr 2015)

• Lead a cross-functional team of 5 members and validated ETL data flows.

• Worked on Core Java platform, using various concepts of JDBC technology.

• Worked closely with TCS BIG DATA Team for Interpretation/Analysis of the data.

• Managing multiple priorities and tasks in a dynamic work environment.

• Responsible for data gathering and monitoring of 100+ TCS facilities which consist of 20000+ data points per site per month using MySQL.

Project: GRS Application Roll-out

Role: Developer and Functional Tester (Mar 2012 - Apr 2013)

• Used SAP ME and SAP MII for developing solutions for an Automotive giant and a leading fiber glass manufacturer.

• GRS application involved plant roll-out of 5 sites, quality and production testing and their online documentation. PROJECTS

Kennesaw State University

Project 1: House Prices - Advanced Regression Techniques (Jan 2018 – May 2018)

• Predicted sale prices of the houses by training the model using different regression techniques and neural networks.

• Used python for the implementation.

Project 2: P2P Chat Application (Mar 2018 – May 2018)

• Implemented a hybrid P2P chatting application using TCP socket programming in python.

• Five clients connected to a server of known IP address and port number and were made to exchange greetings.

• If the server is terminated, all clients should be able to exchange messages and when server is restarted each client restores the connection and start exchanging messages. Project 3: Titanic - Machine Learning from disaster (Aug 2018 – Dec 2018)

• Predicted survival of people on the Titanic ship using Spark.

• Implemented different methods like Decision Tree, Naïve Bayes and SVM for the prediction and compared the accuracies of the different methods.

Project 4: Website for Yelp Dataset (Aug 2017 – Dec 2017)

• Created a website using PHP, MySQL, HTML, CSS, JavaScript which helps finding different restaurants based on cities and zip codes with all the details.


• Won first prize on C-Day in graduate capstone project category (Apr 2018).

• Awarded TCS Gems for “On the Spot Award”.

• Awarded Chancellors Scholarship for academic performance.

• Successfully completed 3 months TCS certified Initial learning program in Manufacturing and Operation Management.

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