Analytics | Learning | Innovation

Building Impact Through Data & Innovation

Data storyteller & innovator working at the intersection of analytics, learning, and enterprise building.

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8+ Years Experience

14+ Projects Delivered

3 Active Ventures

Professional, Academic & Personal Portfolio

About Me

Who I Am

I'm Shubhank Katarey, a data storyteller and innovator building at the intersection of analytics, learning, and enterprise building. With 8+ years of professional experience at organizations like Capgemini and Infosys, I've delivered 14+ projects across analytics, machine learning, and data science. More than a data analyst, I'm an entrepreneur, and a lifelong learner passionate about psychology, literature, and creative expression.

What Drives Me

I'm fascinated by turning complex problems into elegant solutions. Whether it's building predictive models, launching ventures, or crafting data narratives, I'm driven by impact. I hold a Postgraduate Certification in Data Science and Business Analytics from Great Learning & UT Austin, and I write blogs and poetry—exploring the creative side of problem-solving.

Certified Folio Certification My Ventures Poetry

Feel free to explore these links and discover the stories behind my professional journey and personal passions.

Core Competencies

Data Strategy

Building analytical frameworks that drive informed decisions at scale.

Predictive Modeling

Developing ML models for forecasting, churn prediction, and risk analysis.

Data Visualization

Creating interactive dashboards that transform data into actionable intelligence.

Business Insights

Uncovering patterns and trends that drive growth and optimization.

Strategic Communication

Translating complex analysis into clear narratives for all audiences.

Tech Stack

MySQL

SQL

Excel

Tableau

Power BI

Python

Analytics

NLP

NumPy

Pandas

Matplotlib

Git

Seaborn

Jupyter

Experience

📊

8+ years in data analytics at Capgemini and Infosys, delivering enterprise solutions.

🚀

14+ projects in analytics, data science, machine learning, and research.

💡

Building ventures (WanderHub, NutriVerse, Technova) at the intersection of data and innovation.

Proof of Work

July 2022 · End-to-End Analysis

Social Media & Tourism

Built customer propensity insights from social behavior data for targeted digital campaigns.

Problem: Campaign teams lacked customer-segment clarity across social channels.
Approach: Performed EDA and propensity analysis to identify high-intent audience clusters.
Outcome: Enabled more targeted campaign planning and stronger conversion potential.

Open Project

November 2021 · SQL

Retail Order Analytics

Generated data-backed operational insights from online retail order databases.

Problem: Retail decision-makers had fragmented visibility into order behavior.
Approach: Wrote SQL-driven analyses for trends, repeat behavior, and category performance.
Outcome: Delivered structured insight packs to support operational prioritization.

Open Project

November 2021 · Tableau

Insurance Claims Visualization

Designed interactive leadership dashboards to support policy and business decisions.

Problem: Claims performance was difficult to monitor through static reporting.
Approach: Built Tableau dashboards for claim trends, policy metrics, and risk indicators.
Outcome: Improved leadership visibility for faster and more informed decisions.

Open Project

September 2021 · Machine Learning

Exit Poll Prediction

Built predictive models and text analytics workflows for election behavior analysis.

Problem: Polling signals were noisy and difficult to interpret at scale.
Approach: Combined supervised ML and text analytics to model outcome tendencies.
Outcome: Produced interpretable prediction outputs for comparative scenario analysis.

Open Project

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