Senior Research Scholar Department of Design 2019-present
(M.Tech) Mechanical System Design School of Mechanical Sciences 2016-2018
(B.Tech) Mechanical Engineering Department of Mechanical Engineering 2010-2014
I create dynamic dashboards with Shiny (R) and Streamlit (Python), blending both languages for advance data analysis.
My main research involves developing low-cost particulate matter monitors, integrating insights from aerosol physics and chemistry to enhance their reliability.
As a mechanical system designer with formal training in mechatronics, I've been involved in various projects including the design and development of U.A.G.V, self-balancing platforms, and pollution monitors.
I am consistently working with our team on the advancement of low-cost PM monitors, personal exposure monitors, and various health and wellness products.
Over the past four years, i have seamlessly integrated 3D printing, CNC machining, PCB milling, laser cutting, and a range of hand power tools into our daily operations.
With six years of Python experience, I specialize in crafting dynamic dashboards for analyzing complex data. My expertise enables me to create visually compelling interfaces that unlock valuable insights, empowering decision-makers with ease and confidence.
With a strong foundation in Python and a deep affection for R, I've spent the past three years immersed in building captivating Shiny dashboards. My love for R's elegant packages like Openair, tidyverse, dplyr, and lubridate drives my passion for data visualization and analysis.
Throughout my journey, C has been a steadfast companion, shaping my understanding of programming at its core. With years of hands-on experience, I've navigated the intricacies of this language, mastering its nuances and leveraging its efficiency to tackle a myriad of challenges.
We engineered and created a compact, cost-effective exposure monitor capable of measuring PM2.5, CO2, temperature, and humidity. Additionally, the device features geotagging functionality, allowing users to correlate their exposure with specific spatiotemporal locations.
We successfully developed a budget-friendly PM2.5 monitor priced at under $150 USD. These monitors have undergone rigorous testing in various ambient conditions and extreme exposure scenarios over a period of more than three years.
For my M.tech Thesis, I developed a compact Unmanned Autonomous Ground Vehicle (U.A.G.V.) equipped with a rocker bogie mechanism and a stable platform suitable for tracking and various other applications.
We work closely with DPCC and CPCB to calibrate our low cost monitors with reference.
To comprehend the impact of climatic conditions and exposure on lifespan, reliability, and other parameters, we deployed our monitors in various climatic regions for collocation studies.
We create custom dashboards for real-time data monitoring and historical data analysis using both R Studio and Python.