Mounika Beedareddy
About Mounika Beedareddy
Mounika Beedareddy is a Software Engineer with a strong background in web development and machine learning. She currently works at Apex Fintech Solutions and has previously held positions at Tika Data and Shell, while also holding degrees in Computer Science and Information Sciences.
Work at Apex Fintech Solutions
Mounika Beedareddy has been employed as a Software Engineer at Apex Fintech Solutions since 2023. Located in Austin, Texas, she contributes to various software development projects within the fintech sector. Her role involves applying her web development skills, particularly in HTML and CSS, to create efficient and user-friendly applications.
Previous Experience at Shell
Prior to her current position, Mounika worked as an IT Software Engineer at Shell from 2019 to 2021 in Bengaluru, Karnataka, India. During her two years at Shell, she gained valuable experience in software engineering, further enhancing her technical skills and understanding of IT solutions in a corporate environment.
Internship at Tika Data
In 2018, Mounika completed a two-month internship as a Machine Learning Intern at Tika Data in Bengaluru, India. This opportunity allowed her to gain hands-on experience in machine learning applications, contributing to her foundational knowledge in algorithm design and app development.
Education and Expertise
Mounika Beedareddy holds a Master's degree in Computer and Information Sciences from The University of Texas at Dallas, which she completed from 2021 to 2023. She also earned a Bachelor of Engineering in Computer Science from B. M. S. College of Engineering, studying from 2015 to 2019. Her educational background is complemented by a strong foundation in web development and database management, with expertise in both SQL and NoSQL databases, including MongoDB and Cassandra.
Academic Projects and Skills
Mounika has experience in designing academic projects that utilize machine learning techniques, including regression, classification, decision trees, support vector machines, association rule learning, and sentiment analysis. She is passionate about technology and problem-solving, and she believes in the synergy of data science and computer science to achieve effective solutions.