Software Developer Data

SreeSharmista Tulasi

Los Angeles, CA Email: ***************@*****.*** Cell: 573-***-****

www.linkedin.com/in/sharmista-tulasi-488475124

Education

California State University, Dominguez Hills - Los Angeles, California

Expected: Aug 2021

Master's in Computer Science, Software Engineering

GPA: 3.6/4

SRM University - Chennai, India.

Aug. 2014-May 2018

Bachelor of Engineering in Electronics and Communication

Technical Skills

Programming Languages: Java, C, C++, JavaScript, C#, .Net, HTML, CSS, XML, XHTML, Servlets and JSP, JUnit, Python, PHP, NodeJS, Silverlight.

Web Technologies: Node.js, HTML5, CSS3, jQuery, AJAX, PHP, Spring Boot,React,Angular.

Tools/Software: Jupyter Notebook, Git, Jira, Trello, MATLAB, Eclipse,Microsoft Visual Studio,Git Hub,Notepad++.

Frameworks/Libraries: TensorFlow, NumPy, Pandas, REST, Pytorch, Sklearn.

Data Analysis Tools: ELK (Elasticsearch Logstash Kibana), Google Analytics, Power BI, Tableau, Qlik.

Database: MongoDB, MySQL, MapReduce, SQLite.

Cloud Technologies:

Testing Frameworks:

Docker, AWS, GCP.

Junit, JMeter, Selenium.

Certifications: Agile,Agile way of working (2018),Cloud Computing(2018),BDA Certificate in BFS(2018).

Professional Experience

Tata Consultancy Services, Hyderabad,India Jul 2018- Jul 2019

Worked in a Banking and Finance unit as a Software Developer on technologies such as Java, Mainframes, SQL.

The Project involves in Monitoring and settling transactions in the various customer accounts and resolving them by developing various applications for a better user interface.

Indian Space Research Organization Intern, Hyderabad, India Jun 2017 - Jul 2017

Worked on the project ‘Histogram Equalization Image Enhancement Technique for Frame based Sensor Data.

Training and working on various Image enhancement operations performed on real time Satellite Images taking the raw data.

Academic Projects and Research Paper Publications

Sentiment Analysis of Twitter Data, NoSQL and Big Data January 2020- May 2020

Produced a Twitter sentiment classifier using Long Short-Term Memory (LSTMs) network.

Used Tweepy Library in Python for data mining from Twitter API’s.

Managed to classify the Tweets into positive, negative and neutral.

Analyzed and visualized the classified data using Kaggle.

Multi-Label Classification Of Face Recognition And Expression Detection(Python,Keras) Sep. 2019 –Dec. 2019

Implemented Multi-Label Convolutional Neural Network(CNN) to perform Face Recognition and Expression Detection using a shared layers model to learn and identify common features of both tasks.

Optimized the network with learning rate decays, training epochs and dropout to achieve 94% accuracy for face prediction and 89% for expression detection.

Search Engine, Java Application

Jan 2018-Mar 2018

Programmed an application to index a directory of JSON documents using a positional inverted index which supported Boolean and ranked retrieval.

Loaded the document corpus and performed several queries like AND, OR, NOT, Phrase, Bi-word, and Near/k.

Optimized the indexing of 36000 JSON files and searching the queries by parsing and stemming it

Implemented a strategy design pattern for different methods to retrieve the top 10 documents.

Performed Junit integrated unit testing and added GUI using Swing for a better UI search experience.

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