Shubham Sharma Portrait

Chapter I

The Learner The Builder

Begin the journey
Chapter II

The
Journey

HOW DOES THIS WORK?
CAN I BUILD THIS?
WHAT IF I FAIL?
WHAT IF IT WORKS?
I Stopped Consuming. I Started Building.
Next Chapter

The Work

Chapter IV

Ideas are easy.
Execution is everything.

I enjoy working at the intersection of data, technology, and problem-solving.
Whether I'm analyzing complex datasets, building predictive models, or developing products,
my focus is always on creating practical solutions that deliver real-world value.

01

Analytics & Insights

Data Analysis Exploratory Data Analysis Statistical Analysis Data Visualization Dashboard Design Time Series Forecasting

Turning data into actionable insights through analysis and storytelling.

02

Machine Learning

Predictive Modelling Feature Engineering Model Evaluation Supervised Learning Applied Machine Learning

Building predictive systems that balance performance and practical impact.

03

Product Development

Python Streamlit Web Applications REST APIs Git & GitHub UI/UX Prototyping

Turning ideas into products through practical engineering and user-focused design.

THE TOOLBOX

The technologies behind the work.

Data & Analytics

Python Pandas NumPy Matplotlib Plotly Jupyter Notebook

Development

Streamlit REST APIs Git GitHub MySQL VS Code

Workflow & Design

Data Cleaning Data Visualization Dashboard Design UI/UX Prototyping Project Documentation Version Control
CURRENTLY EXPLORING
  • Full Stack Development
  • System Design Fundamentals
  • Open Source Contributions
  • Advanced Machine Learning
Chapter V

Beyond the
Projects.

The experiences that shaped the way I learn, compete, and grow.

01

The Competitor

Before projects, analytics, and software development, there was competition.

I spent several years competing in Taekwondo during school and participated in multiple state-level tournaments. One of my strongest memories is my first competitive match in Gurugram.

My opponent was significantly larger than me. It was my first match. It was also my first gold medal.

That experience taught me something I still carry today: Confidence often comes after taking action, not before it.

Multiple Gold Medals Silver & Bronze Medals State-Level Participation
02

The Learner

When I started my first year of Computer Science, I had almost no understanding of programming. I didn't know Python. I didn't know C++. I didn't know how software projects were built.

Over time I moved from building simple coursework projects to creating analytics case studies, machine learning projects, and full product experiences.

Some of my biggest growth came from revisiting older projects and rebuilding them with better thinking, stronger analysis, and improved execution.

Progress over perfection. Learning through iteration. Learning through curiosity. Learning through building.

I primarily learn through project-based experimentation, YouTube, note-taking, and AI-assisted development workflows.

03

Real-World Exposure

4 Virtual Experience Programs

British Airways — Data Science Job Simulation

Built predictive models and explored customer booking behaviour using machine learning workflows.

View Credential

Tata iQ — GenAI Powered Data Analytics

Learned how technical AI insights must be translated into business decisions and actionable recommendations.

View Credential

JPMorgan Chase & Co. — Software Engineering Job Simulation

Explored agile methodologies and open-source data visualization tools for financial data.

View Credential

Deloitte — Technology Consulting Virtual Internship

Designed interactive dashboards to communicate key business insights to stakeholders.

View Credential
04

My Voice Beyond Tech

Your Phone Is Training AI (And You Didn't Even Know It)

Exploring how everyday smartphone activity contributes to modern AI systems.

Read Article

How Leadership and Motivation Shape Workplace Performance

A reflection on leadership, motivation, and their impact on organizational performance.

Read Article
05

Continuous Learning

IBM AI Workflow: Data Analysis and Hypothesis Testing

Coursera

IBM Databases and SQL for Data Science with Python

Coursera

Data Visualization

Coursera

Python for Time Series Data Analysis

Udemy

CUDA C++ Certificate of Competency

NVIDIA

View All Credentials
Chapter VI

The Best
Part?

Not knowing what Python was

Building products,
analytics systems,
and experiences.

Three years ago,
I entered Computer Science with curiosity and very little understanding of programming.

Today,
I've built analytics projects, machine learning systems, and products that solve real problems.

I'm still learning.
And that's exactly the point.

The best part?

I'm just getting started.

Let's Build Something Meaningful

Still learning.
Still building.
Still curious.
— Shubham Sharma

© 2026 Shubham Sharma • Crafted with code, curiosity, and creativity.