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Nothing0g/README.md
Deep-red focused-coding character header with a subtle background signal animation

WELCOME TO THE LAB

Turning messy inputs into useful work.

Slowly animated lab workflow: observe, analyze, ship

Nothing0g character portrait

Shubham Kumar Nothing0g

Engineer → data & business analysis

I turn messy inputs into useful tools, clear analysis, and decisions that can survive outside the notebook.

LinkedIn Analyst portfolio Email Shubham

Mascot coding Mascot thinking Mascot celebrating

about_me.log

I’m an engineer moving into data and business analysis. I use Python-driven analysis, product thinking, and a little vibe coding to make unclear problems more useful. I care about the last mile: not just getting a model or notebook to run, but making the result clear enough to support a real decision.

Vibe coding is my starting point. Standards are my filter. I’m here to make useful things from messy inputs — not features looking for a problem.

What I am working around

My public work is focused on applied analyst projects: operations demand, employee attrition, loan approval, and small Python builds. The newest public repository activity also includes a browser-first, GitHub Pages-ready static project.

 Mascot thinking through an analysis

case_files/selected_work

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Mascot coding

CF-001 · Uber demand

Uber_ride_demand_analysis

Operations and demand analysis across 150K Uber ride bookings, covering hourly demand patterns, cancellation diagnostics, and operational recommendations with Python, pandas, and matplotlib.

 Mascot thinking

CF-002 · People analytics

hr_employee_attrition_analysis

Exploratory analysis and classification modeling for employee attrition, paired with business recommendations and an evidence-backed Python workflow.
Mascot celebrating

CF-003 · Loan approval

loan-approval-analysis

A published Jupyter Notebook project for loan approval analysis.

 Mascot taking a coffee break

CF-004 · Browser-first build

the-uncomfortable-list

A recent React-tagged, local-only static project built for the browser and ready for GitHub Pages.

stack.detected()

These are the tools and technologies evidenced by public repository metadata and the selected projects above.

Python pandas matplotlib scikit-learn Jupyter Notebook
HTML CSS JavaScript TypeScript React Git and GitHub
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public_signal

Nothing0g public GitHub signal snapshot: 144 public contributions in the last year, 17 public repositories, zero followers, and zero following
Local public-data snapshot · view the live GitHub contribution history

currently_exploring

I’m continuing analyst-track case work and experimenting with browser-first static builds. If you have a messy problem, an interesting dataset, or a useful idea that needs shipping, let’s talk.

status: curious · evidence-first · coffee-fueled 		Mascot with a coffee break
Built around the original Nothing0g character — deep red, black, warm brown, and cream.

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  1. Uber_ride_demand_analysis Uber_ride_demand_analysis Public

    Operations/demand analytics on 150K Uber ride bookings — hourly demand patterns, cancellation-rate diagnostics, and ops recommendations using Python (pandas, matplotlib)

    1

  2. hr_employee_attrition_analysis hr_employee_attrition_analysis Public

    EDA + classification models predicting employee attrition, with business recommendations

    Python 1

  3. loan-approval-analysis loan-approval-analysis Public

    Interpretable loan approval analysis using logistic regression, exploratory data analysis, and Python.

    Jupyter Notebook 1

  4. My_python.projects My_python.projects Public

    A collection of my simple Python projects

    Python 1

  5. the-uncomfortable-list the-uncomfortable-list Public

    A private, clear-eyed browser-first life audit and bucket list — local-only, static, and GitHub Pages-ready.

    HTML

  6. Resume Resume Public