✨ From Rail Tracks to Neural Nets: My Journey Building Intelligent Systems
As a kid, I was obsessed with how things moved—bikes, trains, anything with wheels. That curiosity shaped my path through a degree in Transportation Technology and then into the deep world of data science. Now, I work at the intersection of real-world systems and intelligent computation.
My projects range across disciplines:
- At Siemens Mobility, I led data management for train scheduling and ramp-up strategies, using tools like Power BI, plotly.js, and Python to forecast engineering workloads.
- For IIT Madras, I explored how COVID-19 reshaped the energy economy in India’s MSMEs.
- With GramVikas and Catalyst, I built custom Excel VBA tools to help NGOs collect and visualize critical WaSH (Water, Sanitation, Hygiene) data.
But it doesn't stop at professional gigs. I’ve created:
- A railway diagnostics telemetry proof-of-concept using ESP32 boards and SFTP systems.
- A CV parser using computer vision and OCR, tackling the messiest resumes out there.
- A POSOCO power data miner, wrangling national energy data from PDFs with Python, BeautifulSoup, and Tesseract.
I work best at the edge—where structured logic meets human problems. My blog is where I unpack my work, share lessons in machine learning, and talk openly about the growing pains of learning to build for real impact.
Skills & Tools:
Python, R, VBA, SQL, Docker, GNU/Linux, Power BI, Bash, DAX, Flask, OpenCV, Tesseract, ggplot2, pandas
Domains I Care About:
AI for Public Good, Optimization, Energy & Infrastructure, Statistical Learning