I’m Ashish Kumar — An SDET with a strong foundation in automation and data analysis, and the founder of A28 AI Lab (registered under the Government of India).

I began my career validating complex systems while also taking initiative to automate testing workflows — a habit that eventually shaped my transition into building intelligent, scalable tools. Along the way, I also taught myself data analysis to strengthen my ability to solve real-world problems with logic, structure, and evidence.

At A28 AI Lab, I built products like SkillScope, an AI-powered resume analyzer and job description matcher, and DripDesk, an automation platform for email workflows. These projects involved developing NLP-driven pipelines, designing automation test flows, and deploying production-ready tools — all from scratch.

Through every phase — from hands-on automation to startup execution — I’ve stayed grounded in curiosity, clarity, and impact. If you’re looking for someone who blends QA precision, automation thinking, and analytical depth — I’d be excited to connect.

👉 📄 Download My Resume

What I Do

I work with real-world data — the kind that’s messy, incomplete, and full of insight. I use:

  • Python & Pandas for data cleaning, wrangling, and analysis
  • Selenium WebDriver for automating test cases
  • SQL for querying relational databases and joining insights across tables
  • Power BI for building dashboards that drive decisions
  • Matplotlib & Seaborn for turning data into visual stories
  • Scikit-learn for building and testing machine learning models

I’ve built projects in domains like healthcare, sales, and automation — and continue to refine my skills through public work on GitHub.

Why I Do It

Because I know what it feels like to rebuild.
Because data gives structure to chaos — and I find calm in that.
Because I believe growth is earned, not given.

I approach every dataset like I approach life: patiently, thoroughly, and with full attention.

Highlights

  • Completed end-to-end analysis on healthcare insurance data
  • Built prediction models using Decision Trees & Random Forests
  • Developed interactive Power BI dashboards and automated reports
  • Practiced SQL joins, subqueries, aggregations on large datasets
  • Hosted all code and visual outputs on GitHub with clear documentation
  • Experience letter from freelance consulting work in data analysis
  • Constantly learning: currently exploring CNNs, ReLU, and optimizers like Adam

Let’s Connect

If you’re looking for someone who can learn fast, communicate clearly, and turn noise into insight — I’d love to connect.