May 2021 – Oct 2024 · 3 yrs 5 mos · Bengaluru, Karnataka, India · On-site

Jul 2020 – Aug 2020 · 1 mo

• Project: COVID-19 detection from chest X-rays images using various deep learning methods and machine learning classification techniques.
• Analyzed the behaviour of multiple layer CNN architectures with classification parameters such as accuracy, F1-score, ROC AUC area and Kappa scores.
• Used machine learning classification techniques on top of features extracted by the various pre-trained models to train data of 6553 chest X-Ray images.
• Critically examined the change of performance brought about by transfer learning with different pre-trained models of Keras of which VGG 16 achieved the best results to get an accuracy of 94%; 6-CNN, MobileNetV2 and DenseNet121 models achieved the highest COVID-19 classification accuracy of 97%.

May 2020 – Jun 2020 · 1 mo · Noida, Uttar Pradesh, India

• Project: To deevelop a realistic application algorithm to monitor the sleep quality of an individual unobtrusively using an off-the-shelf smartphone.
• Separated noise frames using specific variance features to build an ambient noise model to calculate the threshold of features for detecting sleep events.
• Developed a lightweight decision tree-based algorithm using extracted acoustic features to classify sleep events with an EDA accuracy of more than 93%.
• Detected sleep efficiency using activity score based on Actigraphy and PSQI based sleep quality estimation to achieve an FDA accuracy of more than 90%.

May 2019 – Jun 2019 · 1 mo · Gurugram, Haryana, India

• Analyzed 36 million customers booking data using 32 features to segment five different types of customers that OYO serves using unsupervised learning.
• Developed dashboards for tracking customer feedback and property audits on a real-time basis using Metabase to reduce UH feedbacks from 13% to 11%.
• Ideated and developed a code to schedule customized automated operations reports as mail, daily to the ground team for daily targets they need to hit.

Nov 2018 – Apr 2021 · 2 yrs 5 mos · Kharagpur, West Bengal, India

•  Aspiring to innovate and develop cost-effective electric vehicle technologies focused on improving average speed, acceleration, and range.
•  Configuring bootloaders on microcontrollers via secure CSEc module-based communication, enabling seamless OTA (Over-the-Air) updates.
•  Developing and integrating Battery Management Systems (BMS) and in-vehicle communication using the Controller Area Network (CAN) protocol.
•  Testing and implementing GPS/GSM modules for vehicle tracking and connectivity.
•  Creating REST and MQTT APIs to publish and retrieve vehicle data online using POST and GET requests. Developed Back-end application, creating servers and databases for functionality.
•  Ensuring secure and reliable data transmission for vehicle telematics applications.
•  Participating in the complete lifecycle of embedded system development, from design to deployment.
•  Continuously exploring advancements in EV systems, embedded communications, and automotive IoT integration.