Apr 2024 – Jun 2024 · 2 mos · Gurugram, Haryana, India · On-site

May 2023 – Nov 2023 · 6 mos · Bengaluru, Karnataka, India · Remote

• Completed a remote internship focused on audio classification using deep learning techniques, with a specific emphasis on heart and lung audio sounds. Successfully collected a diverse dataset of heart and lung audio recordings. Collected heart and lung audio recordings from various sources, ensuring data quality and diversity. Incorporated recordings from different individuals, capturing a range of heart and lung conditions and variations. Pre-processed the audio data by incorporating variations in playback speed to mimic real-world scenarios. Introduced controlled noise into the audio dataset to enhance the model's ability to handle real-world environmental factors. Applied noise augmentation techniques. Constructed a comprehensive audio dataset by carefully curating and organizing the collected recordings, playback speed variations, and noise additions. Ensured proper labelling and annotation for subsequent model training and evaluation. Developed and trained a deep learning model, utilizing frameworks such as TensorFlow and Keras. Employed simple neural network to capture and classify unique patterns within heart and lung audio data.

Apr 2023 – Jun 2023 · 2 mos · Pune, Maharashtra, India · On-site

• Conducted data visualization and analysis on Mahindra and Mahindra's data, leveraging tools such as Power BI. Developed interactive dashboards and visual representations to communicate insights effectively. Built machine learning models using real-time data, applying algorithms and techniques to generate predictive and actionable insights. Utilized Python and libraries such as scikit-learn, pandas, and NumPy to develop models for data-driven decision-making. Collaborated with cross-functional teams to gather data requirements, perform data cleaning and preprocessing, and ensure data accuracy and integrity for analysis purposes. Gained a comprehensive understanding of Mahindra and Mahindra's operations, processes, and data ecosystem. Collaborated closely with Mahindra and Mahindra teams to gather data requirements and align analytical outputs with the company's strategic objectives.