I'm Shubham — a data analyst based in Kalaburagi, India, working across SQL, Python, Power BI and Advanced Excel to catch the pattern hiding in the caseload.
I spend my days inside shipment records, system logs, and catalog data — reconciling what should match, flagging what doesn't, and tracing root causes before they become recurring defects.
Currently a Catalog Specialist at Amazon, I review a daily caseload of ~50 records and have built Excel macros that cut manual reporting time and sharpened turnaround. Before that, as a Support Ops Specialist, I ran deep-dive investigations across shipment, tracking, and system-log data.
I also lean on LLM tools like Claude and ChatGPT with structured prompting to speed up research, synthesis, and reporting — treating them as part of a modern analyst's toolkit, not a shortcut around the analysis itself.
Grouped the way I actually use them — from querying and cleaning, to reporting, to the investigative thinking behind it.
Built a CNN-based diagnostic model using Python, TensorFlow, and OpenCV to detect respiratory diseases from chest X-rays — applying quantitative modeling and data analysis techniques to improve diagnostic speed and accuracy, deployed on a Raspberry Pi.
Open to Junior Data Analyst roles in market research and technology intelligence. Based in Kalaburagi, Karnataka — happy to work remote or relocate.