Sriram Chowdary Vundavalli

Highly organized and hard-working individual seeking an exciting opportunity to gain practical experience and real-time exposure. Seeking to leverage skills and dedication to contribute effectively in a dynamic work environment. Strong organizational abilities and work ethic to drive positive outcomes and make a valuable impact. Ready to take on new challenges and grow both personally and professionally.

• Python for Data Sciences, AI & Development, IBM
• Database Management Essentials, University of Colorado System
• Operating Systems and You: Becoming a Power User, Google
• Introduction to Artificial Intelligence (AI), IBM
• Java Programming: Solving Problems with Software, Duke University

Rainfall Prediction using ARIMA Model (2023).
Developed a rainfall forecasting model utilizing the ARIMA (AutoRegressive Integrated Moving Average) methodology. Simplified complex forecasting techniques for non-experts, enabling effective comparisons of various machine learning methods in predictive analytics.

Fake News Detection Using Machine Learning.
Implemented a machine learning framework to enhance the accuracy of deception detection, with a focus on identifying fake news. Leveraged algorithms such as Natural Language Processing (NLP) to analyze textual data and improve classification performance.

Road Accident Prediction Model Using Machine Learning Algorithms.

Designed a predictive model using machine learning algorithms, including Support Vector Machines (SVM), to assess accident probabilities based on environmental factors and road conditions. Utilized publicly available traffic accident datasets for training and validation, contributing to improved road safety analysis.

Honored with a scholarship recognizing exceptional academic achievement during my undergraduate years.