MADHUMITHA SIVASANKARAN

+1-716-***-****

adiw49@r.postjobfree.com

https://github.com/madhumitha4396

https://www.linkedin.com/in/madhumitha-sivasankaran/ EDUCATION:

Masters in Computer Science and Engineering

University at Buffalo, The State University of New York December 2020 Coursework: Algorithms for Modern Computing Systems, Information Retrieval, Introduction to Machine Learning, Computer Architecture, Data Intensive Computing, Statistical Data Mining, Data Model Query Languages GPA: 3.37/4

Bachelors of Technology in Electronics and Communication SRM Institute of Science and Technology, India May 2017 Coursework: Object Oriented Programming, Microprocessors, Microcontrollers, Embedded C, Computer Communication, Digital Image processing, Cryptography and Network Security GPA: 9.61/10

SKILLS:

Programming Languages: Python, JavaScript, Java, MySQL, HTML, CSS, VHDL

Applications: GIT, Jenkins, Apache Solr, AWS, Apache Hadoop, Apache Spark, JIRA, Django, AngularJS, MATLAB, RobotFramework, Wireshark, MongoDB

OS: Windows, Linux

WORK EXPERIENCE:

Nokia Networks (Chennai, India)

Solution Engineer July 2017 – June 2019

Developed a python-based RobotFramework keyword to test end user voice quality during speech phase of a voice call.

Performed effective code consolidation (python) of iOS and Android plugins in the Test Automation Consolidation (TAC) project which resulted in a unified End-to-end test automation framework.

Member of the core team collaborated to setup the Wireless Automation Framework for both iOS and Android, first of its kind in Chennai.

Automated testcases (Documentation, Scripting, Testing and Validation) for VoLTE, UMTS, GSM and its features like SRVCC, IMSSF, Supplementary Services on the iOS Wireless Automation Framework to verify Nokia’s Blueprint Cloud Solutions that improved the process by 60% than manual execution. 3 weeks of Onsite training at Budapest, Hungary on End-to-end testing and verification tools, processes, framework and features.

Automated 98 testcases for ALTAN in IMS, SMS & EPC domains on Android Wireless Automation Framework setup. Automated 192 functional testcases on MSS and MGW comprising of 2G,3G,4G, VoIP (Simulated using X-lite) call scenarios on both iOS and Android (using TAC repository) for Deutsche Telecom following AGILE methodology. PROJECTS:

CDN SIMULATION MODEL: Built Content Delivery Network simulation model, presently used by Limelight Networks focusing on characterizing internal workload of web cache server and in modeling an architecture to represent physical hardware platform. Data visualization using Matplotlib. (Python)

DATA INGESTION AND INDEXING USING SOLR: Fetching raw tweets from prominent twitter celebrities from India, USA, Brazil and indexing using Apache Solr. Built inverted index based on the information extracted from given data. (Python, AWS, Apache Solr)

SEARCH ENGINE FOR TWEETS: End-to-end search engine involving data ingestion in Apache Solr, search, topic categorization, analytics and visualization. Built web application and hosted on AWS. Developed a data pipeline inclusive of extraction of raw data from twitter using streaming and twitter REST APIs. (Python, Django, HTML, CSS)

IMPLEMENTATION, EVALUATION & IMPROVISATION OF VARIOUS IR MODELS: Language, BM25 & DFR models. (Python, Apache Solr)

SCRUMBOARD WEB APP: Fully interactive Scrum board web application using Django and AngularJS. (Python, JavaScript, HTML, CSS)

CLASSIFICATION OF VARIOUS DATASETS USING SUPERVISED AND UNSUPERVISED ML ALGORITHMS: Wisconsin Diagnostic Breast Cancer dataset, Fashion-MNIST clothing images dataset - Logistic Regression, Neural Networks, Multilayer and Convolutional Neural Network, KMeans, PCA etc. (Python, Keras, Sklearns)

DATA PROCESSING WITH HADOOP: Word Count, Inverted Index, N-grams generation, Relational Join using MapReduce algorithm. (Python, Hadoop)

PREDICTIVE ANALYTICS WITH SPARK: Movie genre prediction model (Multi-label classification) using Logistic regression. Improvised model using Term-document matrix, TF-IDF and other text-based feature engineering methodologies.

(Python, Apache Spark)

GUESSING GAME: Designed Guessing game on Xilinx FPGA board written in VHDL and programmed using Vivado software.

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