> hello_world_

I'm Tanushka Shah.
I turn data into decisions.

MBA Tech Data Science student at MPSTME, NMIMS Mumbai. I work where data, business thinking and leadership meet, with a creative streak that keeps the numbers readable.

See my projects Get in touch

01 / about

Who I am

I'm a first-generation-curious kind of student: I like asking why a number looks the way it does, and then working out what a business should do about it. I study MBA Tech Data Science at MPSTME, NMIMS, Mumbai (expected 2029).

So far I've modelled Mumbai Metro ridership with probability, trained a small neural network for crop recommendation, built an Android travel app, and researched how a large Indian company reports on ESG. Outside class I lead a creative team at 4C, the NMIMS marketing cell, and I run for the college in athletics.

I'm looking for internships where I can learn on real problems, support decisions with data, and keep sharpening both my technical and leadership sides.

02 / projects

Things I've built

Statistical modelling · Mar 2026

Passenger Arrival Modelling with a Poisson Process

An academic project analysing Mumbai Metro Lines 2A and 7 ridership data over 628 days (more than 142 million passenger trips) to understand how passengers arrive.

  • Used Poisson process theory and Maximum Likelihood Estimation to estimate arrival rates and expected inter-arrival times across days and months.
  • Ran goodness-of-fit tests and dispersion analysis to check the model's assumptions, and found signs of overdispersion in the data.
  • Discussed uses in crowd management, train scheduling and infrastructure planning, with non-homogeneous Poisson processes and queueing models as possible next steps.
  • Python
  • Probability
  • MLE
  • Goodness-of-fit

Interactive: how a Poisson distribution changes with its rate

An illustrative demo of the maths only. It does not show my Metro dataset.

Machine learning · Smart India Hackathon

AI-Powered Crop Recommendation

A neural network that recommends a suitable crop from soil nutrient and climate features.

Built

  • A deep feed-forward Artificial Neural Network in TensorFlow/Keras, trained with supervised learning on the Kaggle Crop Recommendation dataset.

Proposed / planned

  • Wider system for crop yield prediction using soil, weather and historical data.
  • Irrigation and fertilizer optimisation suggestions.
  • Farmer-friendly web and mobile interface with regional language support.
  • Python
  • TensorFlow
  • Keras
  • Supervised learning
Android app development

Traveliser: Organised Travelling

An Android app that helps keep a trip organised: track what you spend against your budget and turn your trip photos into an album.

  • Budget and spent tracking with a reminder when you go over budget.
  • Photo albums built from templates, shown with WebView.
  • Photos, budget and spending lists displayed with RecyclerView.
  • User authentication, profile management and search history so users can revisit places.
  • Java
  • Android Studio
  • SQLite
  • REST API
Research presentation

AstroQuantrum Realms

A research paper on astrophysics concepts and the structure of black holes. It won 1st place in an intra-college research paper presentation.

03 / esg research

Reading a company beyond its balance sheet

For an interest-based course, I chose Environmental, Social and Governance (ESG) as my topic. Over the semester I researched how ESG systems work, then wrote and presented a report on ESG at LIC (Life Insurance Corporation of India).

This was coursework and self-driven learning, not a job or internship. It taught me to look at how a company measures and reports its impact, and why that matters for business decisions and investors.

EEnvironmental
SSocial
GGovernance

04 / leadership & life

Beyond the code

2026 – 27

Sub-Head, In-House Creatives

4C – Marketing Cell of NMIMS

Creative direction, designing promotional materials, brainstorming, coordinating the team, delegating work and reviewing it.

2024 – 25

In-House Creatives Executive

SATTVA

Part of the creative team behind the committee's design work.

Community

Community Social Service Program

Reliance Foundation, RCP, Navi Mumbai

21 days of community service: visiting villages, conducting surveys and attending expert sessions on community development.

Athletics

Relay and track medals

Inter-college athletics

One relay bronze medal and two athletics bronze medals.

05 / skills & interests

Toolkit

Data & ML

  • Python
  • SQL
  • NumPy
  • Matplotlib
  • TensorFlow / Keras
  • Jupyter
  • Excel

Concepts

  • Probability
  • Statistical modelling
  • Hypothesis testing
  • Supervised learning
  • Neural networks
  • Queueing theory

Building

  • Java
  • Android Studio
  • SQLite
  • REST APIs
  • HTML / CSS / JS

Growing into

  • Power BI
  • Tableau
  • AWS (certified: Cloud Technical Essentials, Oct 2026)

Interests

Astrophysics and black holes, ESG and sustainable business, creative design, athletics, and finding patterns in messy real-world data.

06 / education

Where I study

MBA Tech Data Science

MPSTME, NMIMS, Mumbai · 2024 – 2029 (expected)

CGPA 8.7 / 10

07 / contact

Let's talk

I'm open to internships and conversations about data, business and student leadership. The best way to reach me is email.

Email me LinkedIn GitHub