TEJASWI MANDAVA

A dedicated and enthusiastic master's student with hands-on experience seeking to leverage technical skills and practical insights in a dynamic industry role. Eager to apply classroom knowledge to contribute innovative solutions and drive impactful projects in AI development, machine learning, or software engineering. Committed to continuous learning and growth while delivering value to a forward-thinking organization.

• Certified in Python by Simplilearn.
• Certified in C and C++ GUVI
• Certified in Django
• Certified in Java by Great Learning

• Member and certified by National Service Scheme

• Professional Development: I am consistently enthusiastic about attending and actively participating in conferences and seminars.
• Leadership Roles: I have served as the head of group projects and student organizations, taking on significant responsibilities and effectively fulfilling my role.
• Soft Skills: Excel in communication, possess patience, adaptability, and thrive in collaborative team environments.
• Extracurricular Activities: I enjoy cooking, crafting, and listening to music.

• Sales Forecasting and Inventory Management Optimization: Imperative challenges of inventory control and sales forecasting in the fiercely competitive retail and e-commerce landscape. It is an EDA process and Machine Learning techniques using metrics MAE, MAPE, and RMSE.
• Census Income Classification: Predicting individual's income levels based on demographic factors. It is a Decision-Making process using Data Mining techniques specifically classification algorithms.
• Weather Forecasting: It is the use of science and technology to predict the condition of the weather. This project aims to estimate the weather by utilizing predictive analysis. It is based on Machine Learning models using LSTM and ARIMA.
• Food Management System: It is a web-based food donating system. This will help to manage the waste of food easily. I have used HTML, CSS, JavaScript, PHP, MySQL, and Xampp.
• Death Risk Factor using Data Visualization: This project utilizes various visualization techniques to analyze the impact of different risk factors on global health. It offers insights into the implications for healthcare systems and government policies. Tools employed include Tableau, Python, Jupyter Notebook, Bokeh Library, and Excel.