Software Engineering Data Sciences

Sreya Vemulapalli

+1-908-***-**** ************@*****.*** LinkedIn

Masters Sri Relevant Education New Ramaswamy Jersey in Coursework: Computers Institute Programming Memorial and of Systems Technology Information Institute Neural for Data Sciences of Networks, Science Science, Natural Advanced and Technology(Language Algorithms, Processing, SRM Secure University) Distributed Software Engineering, Systems, Object Distributed Oriented Sept Amaravati, 2023 Newark, Systems - Dec NJ India 2024 Bachelor Relevant Skills of Coursework: Engineering (Software Hons.Cryptography, ) in Engineering, Computer Object Science Computer Oriented Networking, Programming Database Management Systems, Operating Jul 2019 Systems, - May 2023 Experience Languages: Software/Concepts: Suthra Jr. Full Stack Technologies(Tools: DevOps, Python, Dev Git, Java, Compliance, C, Gitlab, Intern) SQL, Angular, Java Linux, Version Script SQL, Pandas, Jasmine,HTML/Control, AWS CSS, End-Oracle, to-End Angular System Design Dec Florida, 2023-USA Dec 2024

• Developed scalable, component-based web applications using Angular, implementing lazy loading, state management (NgRx), and dynamic form handling to optimize performance

• Integrated RESTful APIs and Web Sockets for real-time data synchronization, improving responsiveness and reducing data latency.

• Implemented unit and integration testing using Jasmine and Karma, ensuring robust and error-free front-end functionality

• Optimized SQL queries and indexing strategies, improving database query performance and reducing API response time. Tech2020 Jr. Python • • • • Designed processes Provided issues, Worked Developed Dev solutions python, which with actionable and for and cloud contributed high-automated optimized AWS, volume storage insights SQL, SQL data Apache to transactional solutions improved from queries pipelines Airflow client and AWS service using data, data. stored S3 to helping Python delivery procedures, manage (to pandas, and identify and reducing enhanced analyze NumPy)performance execution large-customer, SQL, scale and time trends, satisfaction. datasets. Apache by 30% usage Airflow, for patterns, improved streamlining Hyderabad, Sep2022-and data potential retrieval July2023 ETL India efficiency.

Plant Bank Projects Breast • • • • • • Management Leaf Conducted Developed Authored Developed Min-Built processing Performed Cancer Disease Max an end-Prediction Normalization. a a a Deep and paper EDA to-VGG16-high-Detection System visualization. end and Learning accuracy on machine based optimized Deep Using research Learning-model, SVM learning VGG16 feature model achieving under based pipeline using engineering Dr. Plant 96.the Hemantha with 29% Leaf UCI Python, and accuracy ML Disease hyperparameters Kumar Breast Pandas, Classification, in Cancer Kalluri, disease NumPy, Wisconsin focusing classification. for submitted Scikit-robust on dataset, Learn, plant model to IC3T and disease achieving generalization. Matplotlib 2022. detection. July Dec July 96% 202*-****-**** for accuracy data - - - Dec May2023 Nov 2022 2021 with

• • Developed privileged Built performance a dynamic operations a secure with frontend asynchronous banking and using protecting platform HTML, data sensitive with handling CSS, role-JavaScript, data and based through session access Bootstrap management. encryption control and (a RBAC)robust and authentication., ensuring backend admins with PHP have and exclusive MySQL, optimizing access to