YUVAKIRAN IDAMAKANTI

+1-850-***-**** Tallahassee, FL (willing to relocate)

ad4bru@r.postjobfree.com/yuvakiranidamakanti EDUCATION

Master of Data Science, Florida State University Expected May 2024 Relevant Coursework:Artificial Intelligence, ML, Data Mining, Data Ethics, R, Advanced Data Mining Bachelor of Computer Science, Gandhi Institute of Technology and Management, India 2018 - 2022 Relevant Coursework:Data Structures,Database Systems, Theory of Computation, Operating Systems SKILLS

Programming Languages: Java, Python, C, C++, MySQL, .NET Skills: HLOOKUP, Pivot Tables (Excel), ArcGIS Technologies: Neural Networks, Azure, MongoDB, Redis Data Visualization: Tableau, Power BI Environment: Windows 7, 10, Linux, MacOS Development Tools: PyCharm, VSCode, RStudio EXPERIENCE

Dotnet Developer Intern Jan 2021 - July 2021

Mindtree (Larsen and Toubro) Hyderabad, India

• Led the design and implementation of a dynamic e-commerce website and CRM system using .NET technologies, significantly improving client satisfaction and communication. Also, played a crucial role in the development of a robust inventory management application using .NET, enabling efficient system integration and report capabilty.

• Successfully developed and launched a responsive mobile application utilizing .NET and Xamarin frameworks, ensuring a consistent and seamless user experience across multiple devices and platforms. Oracle Database Developer Intern July 2021 - Dec 2021 HCL Technologies Hyderabad, India

• Designed interactive UIs in Oracle APEX for real-time inventory management, incorporating complex SQL and PL/SQL for forecasting and vendor management.Integrated external APIs with Oracle Database, improving supply chain visibility; optimized database with indexing and partitioning, enhancing performance by 30%.

• Led system maintenance, troubleshooting, and Oracle Database administration, ensuring system reliability and ad- dressing advanced business challenges.

Data Scientist Intern Jan 2022 - July 2022

Dhyanahitha Educational Society Hyderabad, India

• Engineered a diabetes prediction system with full-stack integration (HTML/CSS/Bootstrap, PHP, MySQL) and ap- plied ML algorithms for early detection.Enhanced prediction accuracy by 80% using Random Forest, supported by data preprocessing and analysis with Pandas, Matplotlib, Numpy, Seaborn, Scikit-learn..

• Developed scalable healthcare solution, achieving 20% faster integration and 15% increased accuracy, showcasing effectiveness in broader disease prediction.

PROJECTS AND PUBLICATIONS

Course Project Management Dashboard. Developed an intuitive dashboard, integrating Figma prototypes, React- Router for systematic route organization, and React Context for centralized state management Employed APIs, deployed application on Apache, and established Continuous Integration/ Continuous Deployment (CICD) for streamlining deploy- ment procedures, leading to a streamlined interface for overseeing course projects Discrimination of genuine and acted emotional expressions using EEG signals. To analyse data, leveraged complex transforms such as DWT, EMD and combination ( DWT + EMD) and to achieve accuracy various algorithms such as KNN, SVM, ANN, XG Boost were used. Also published a researchpaper(Research paper link ) An approach for spam email classification using ML Implemented an innovative spam email classification system utilizing bio-inspired algorithms (PSO and genetic algorithms) to optimize performance, documented in a published research paper (Research paper link here.)