Aishwarya Raghavan

I’m Aishwarya, an aspiring Data Analyst and Machine Learning enthusiast currently pursuing my Bachelor of Technology in Information Technology at SSN College of Engineering. With a solid foundation in statistics, algorithms, and computer science, I’ve cultivated a passion for turning raw data into meaningful insights and intelligent solutions.

My experience spans both academic research and real-world applications. I recently worked as a Technology Summer Intern at Barclays, where I developed a server comparison utility and an automated space monitoring system using Shell Script, HTML, CSS, and JavaScript. These tools helped improve operational efficiency and system oversight in real-world enterprise environments.

As an Undergraduate Research Assistant at Bright Academy, I co-authored a research paper titled "Blood Pressure Estimation from Photoplethysmography Signals: An EdgeML Approach," presented at AICTA 2024. I engineered feature extraction techniques and developed a compact machine learning model using the MIMIC-II dataset. The model achieved impressive accuracy with minimal size, making it suitable for real-time deployment on edge devices—underscoring my ability to work on cutting-edge healthcare AI applications.

In addition to research, I’ve worked on multiple self-driven projects. My Flight Delay Prediction engine utilized Random Forest and XGBoost to deliver highly accurate classification and regression results. The LawGPT project is another highlight—a web-based legal assistant that integrates BERT-based classifiers and Retrieval-Augmented Generation to democratize legal information access, particularly supporting women’s rights.

I am proficient in Python, C++, SQL, and LATEX, and I regularly work with libraries like Pandas, NumPy, Scikit-learn, and Matplotlib. My skillset also includes full-stack web development basics, allowing me to design end-to-end data-driven applications.

What sets me apart is a strong analytical mindset, clear communication skills, and a deep curiosity for solving real-world problems using data. I enjoy collaborating with diverse teams and have been part of initiatives like the Smart India Hackathon 2023, where my team was selected among the top 35 at the regional level.

I’m looking for freelance opportunities where I can apply my data analytics and machine learning skills to impactful projects—whether that’s building dashboards, forecasting trends, or deploying intelligent systems. I’m excited to learn, contribute, and grow through each challenge.