Machine Learning Computer Science

Kakarala Lalitha Sri

**** * ***** ***, ******** Park, KS 662**-***-*** 5427 *****************@*****.***

EDUCATION

University Of Central Missouri - College of Engineering & Computer Science, Lees Summit,MO

Master of Science in Computer Science August 2023-Present

Ramachandra College Of Engineering - Eluru, Andhra Pradesh August 2018 - August 2022

Bachelor of Technology in Computer Science and Engineering

EXPERIENCE

Assistant System Engineer, Tata Consultancy Services – Hyderabad, India July 2022- July 2023

Developed an application to deploy EDA jobs to cloud with optimum use of resources using springboot, machine learning models, python

Analyzed data from LSF logs about how the EDA jobs of client were scheduled and how can the use optimum resources from AWS reduce cost incurred. presented the reports to the clients and got appreciation for the work

Implemented Machine learning models to help the platform predict the optimum resources used to reduce the total cost required to deploy those jobs onto AWS cloud.

Assisted in the development of software features and functionalities using Python and Java.

Supported the design and implementation of data models and database interactions.

PROJECT

Speech Sentiment Analysis of student feedback

Created a web application,which takes the speech input and displays the sentiment of the given speech using NLTK.

Project included calculating sentiment analysis of the speech which is given as feedback by the students and was designed using HTML and CSS, speech to text module.

Authenticated Recognition of Currency Notes and Detection of Counterfeit Notes

Developed an application which detects the authenticity of any currency using the visual features of the currency .

Project includes image processing and python language to detect if the given currency input is authentic or fake.

COURSES

Design and Analysis of Algorithms, Operating Systems, Data Structures, Formal Languages and Automata Theory, Computer Architecture,Cloud Computing,Database Management Systems.

SKILLS

Programming Languages: Python, Java,JavaScript,C, C++.

Database Technologies: SQL,MySQL

Others: Shell scripting, HTML, CSS,Spring Boot,Machine Learning : Classification and regression models, preprocessing techniques.

Cloud Platforms: Amazon Web Services: EC2, Simple Storage service, AWS Lambda, AWS Networking, Virtual Private Cloud

Agile Methodologies: Scrum

CERTIFICATION

Certified in AWS Cloud Practitioner.

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