Apr 2023 – Mar 2024 · 11 mos · Mumbai, Maharashtra, India

Jul 2021 – Mar 2023 · 1 yr 8 mos · Mumbai, Maharashtra, India

Dec 2020 – Jun 2021 · 6 mos · Udaipur, Rajasthan, India

• In my six-month internship at Secure Meters (Dec’20 to June’21), I worked as a Data Scientist on two different projects:
• The first one dealt with developing a daily life monitoring system with behaviour pattern recognition using data from different types of sensors like motion, occupancy, humidity and temperature sensors to help identify events which warrant attention for elderly people living alone in the United Kingdom. I handled the whole process starting from Data Collection, Data Cleaning, Visualisation, Feature modelling and then using Machine learning techniques to identify any anomaly in the person's behaviour that raises concern.
• The second one dealt with detecting electricity theft by industries using half-hourly data acquired from smart meters. Here also merging electrical domain knowledge with Machine learning concept, we were able to shortlist the most probable theft events.

May 2020 – Jun 2020 · 1 mo

• In my internship at OYO Rooms (Summer 2020), as a Business Analyst, I was responsible for developing a robust, scalable and automatic Management Information System toolkit (MIS toolkit) for platforms like Slack and Mail for coordination and visualisation of information among employees. I also automated the publication of dynamic and continuously updating Business Development Dashboards of different departments for these platforms on desired channels and at desired frequency or time. It helped them in saving hundreds of Man-Hours a month for the employees, which incredibly improved their efficiency.

May 2019 – Jul 2019 · 2 mos · Gandhinagar

• Implemented digital geometry processing techniques for restoring and preserving 3D objects
• digitally for several applications including cultural heritage and archaeology.
• Developed and programmed pipeline which consisted of acquisition of point cloud from long range
• laser scanner (FARO scanner), point cloud registration (using ICP Algorithm), mesh generation (using
• Delaunay Algorithm), surface generation in Python and MATLAB, finally publishing it on WebGL
• platform and 3D print it.
• Scrutinized many recent research papers on 3D Computer vision & deep learning published in CVPR.

May 2018 – Jul 2018 · 2 mos · IIT Gandhinagar

• Monitored adduction and abduction of knee for stroke patients by multiple MPU6050 sensors.
• Focused on developing an accurate (up to 1 degree), low cost apparatus using motion-tracking
• electronic devices to monitor knee movement.