Laasya Lata Anumakonda

I'm

About

Focused and enthusiastic developer with a keen interest in software development and artificial intelligence. By comprehensive exposure to the underlying concepts and applying them vividly to various projects, my love for these domains came into being. I am a passionate individual who thrives to build and apply algorithms to solve real-world industry problems.

City: Denver, CO
Email: laasyalata20@gmail.com

Interests

Software Development

Machine Learning

Computer Vision

Natural Language Processing

Software Engineering

Visualization

Algorithms

Image Processing

Education

MS in Computer Science

August 2022 - Present

Relevant Coursework

Algorithms
Advanced Computer Architecture
Computer Vision

B.Tech. in Electronics and Communication

Aug 2018 - July 2022

Relevant Coursework

Database Management Systems
Data Structures & Operating system
Artificial Intelligence

Online Certification

Programming for Everybody

Machine Learning by Andrew Ng

Algorithmic Toolbox

Applied AI professional Certificate

Neural Networks and Deep Learning

Cloud Computing

Cisco Certified Network Associate

Machine Learning

Experience

Mobalytics

April 2024 - May 2024

Software Developer

Conducted in-depth data analysis, identifying insights that led to 15% increase in user retention and optimization of customer acquisition strategies, contributing directly to business growth.
Created interactive dashboards providing real-time analytics and visualizations, empowering stakeholders to make informed, data-driven decisions that positively impacted operational efficiency and strategic planning.
Engineered cross-functional data-driven solutions with the Data Science team, boosted team efficiency by 30% through predictive analytics and facilitated innovation in marketing strategies.

University of Colorado Denver - International Student’s office

September 2022 - May 2024

Software Developer – Team Lead

Led a team of developers in designing a software management system to enhance the efficiency and user experience, utilizing Python for backend development and Django for API integration.
Managed a MySQL database of 10,000+ student records for efficient data storage and retrieval, ensuring accuracy and accessibility to support student services and administrative functions.
Spearheaded the implementation of data visualization, achieving a 30% efficiency increase in workflows, providing actionable insights into student data and administrative processes.
Conducted 10 technical training sessions, achieving an 80% proficiency rate among team members, enhancing team capabilities in data analysis and visualization for improved decision-making.
Collaborated on implementing data security protocols, ensuring compliance with international student management standards, and safeguarding sensitive student information.

Snap Inc.

March 2024 - April 2024

JavaScript Developer

Engineered Augmented Reality (AR) experiences using JavaScript; enhanced brand engagement by 30% through innovative and interactive AR content, leading to a notable increase in user interaction and retention.
Integrated advanced features like Hand Tracking and Face Masks into AR applications, creating highly interactive user experiences and setting the brand apart in the market.
Utilized JavaScript to enhance interactivity in AR elements, contributing to a 20% increase in user engagement during marketing campaigns.

Cognizant

February 2022 - July 2022

Software Engineer

Developed scalable software solutions using python and JavaScript, achieving a 20% improvement in application performance and adherence to coding standards.
Collaborated closely with cross-functional teams to analyze requirements, design system architectures, and implement RESTful APIs, enhancing integration and functionality across platforms.
Led database design and optimization efforts using SQL, improving data storage efficiency by 30% and ensuring seamless data retrieval for critical business processes.
Played a key role in Agile development processes, participating in daily stand-ups, sprint planning, and retrospectives, contributing to team efficiency and delivering high-quality software solutions on schedule.
Implemented comprehensive testing strategies, including unit testing with pytest and integration testing with Selenium, resulting in a 95% test pass rate and ensuring robustness and reliability of software before deployment.