Ashish Chandra Padala

AI Intern at IbaseIT India

Built machine learning pipelines in Python and Scikit-learn to analyze structured data and predict insurance uptake from vehicle usage features. Integrated a C-based traffic signal simulator with Python services and OpenAI APIs to model congestion and support adaptive traffic flow decisions. Developed AI-powered pipelines for real-time speech-to-text transcription and multilingual translation using SpeechRecognition and Googletrans. Engineered backend services with FastAPI and OpenAI APIs to create an AI-driven procurement assistant supporting automated queries and workflows.

Research Intern – Quantum Machine Learning at Deakin University

Engineered reproducible data pipelines to preprocess and manage high-dimensional datasets for quantum and classical ML research. Standardized dataset schemas, metadata, and benchmarking outputs to ensure consistency and experiment reproducibility. Automated feature generation and evaluation workflows to support scalable experimentation and comparative model analysis.

Data Intern at MIQ Digital

Collected, cleaned, and analyzed structured datasets to support audience analytics and research-driven marketing insights. Developed lightweight data visualization tools using Python and Streamlit to communicate findings to non-technical stakeholders. Applied regression and statistical models to evaluate trends and improve targeting accuracy by 18%.