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Rohith-actl/README.md

Hi, Iโ€™m Rohith ๐Ÿ‘‹

Actuarial Finance Excel SQL Python HTML

Actuarial Studies & Applied Finance student @ Macquarie University

I focus on risk, capital allocation, and building systems that solve real-world problems.

Most students optimise for grades.
I optimise for leverage, systems, and real-world impact.


๐Ÿš€ Flagship Project

Actuarial Tracker โ€” Australia

A fully self-contained web application built to solve the fragmented actuarial recruitment process.

Check it out yourself: https://rohith-actl.github.io/actuarial-application-tracker/

What it does:

  • Tracks Over 100 actuarial employers across 10 sectors
  • Provides application timelines, cohort size, and competition signals
  • Includes full application pipeline tracking (Applied โ†’ Offer)
  • Allows custom datasets (add companies, edit fields, import/export CSV)
  • Helped more than 400 students

Technical:

  • Built in vanilla HTML, CSS, JavaScript (no frameworks)
  • Zero backend, zero cost, infinite scalability
  • Runs entirely in-browser using localStorage

Why it matters:

This is not just a tracker โ€” itโ€™s a decision-making tool for navigating a competitive market


๐Ÿง  What I Actually Do

I donโ€™t just โ€œstudy actuarialโ€.

I build across 3 layers:

1. Technical (Foundations)

  • Probability, statistics, financial mathematics
  • SQL, Excel, data handling
  • Early-stage programming (JavaScript, React)

2. Applied (Projects)

  • Build tools that simulate real-world use cases
  • Focus on decision-making, not just computation

3. Strategic (Leverage)

  • Understanding how firms allocate capital
  • Understanding risk beyond models (business, reputation, incentives)
  • Thinking in systems, not tasks

๐Ÿ“Š Selected Projects

๐Ÿ”น Data / Analytics

  • SQL-based data analysis projects (joins, aggregations, business insights)
  • Excel financial and actuarial models (cashflows, forecasting, scenario analysis, stochastic modelling)
  • Risk modelling concepts (probability-based decision frameworks)

๐Ÿ”น Web / Tools

  • Actuarial Tracker
  • React-based applications (UI + state management)
  • JavaScript tools for data interaction and workflows

๐Ÿ”น Finance / Actuarial

  • Investment analysis frameworks
  • Insurance-style modelling concepts
  • Capital allocation thinking (inspired by super funds & institutional investors)

Total: 10+ projects across analytics, finance, and web systems


๐Ÿ›  Skills

Technical

  • Excel (Advanced โ€“ modelling, analysis)
  • SQL (Data extraction, transformation)
  • JavaScript (ES6)
  • React (Frontend basics)
  • HTML/CSS (Full UI builds)
  • Deep understanding of Artificial Intellegence

Analytical

  • Probability & statistics
  • Financial modelling
  • Risk assessment

Strategic

  • Systems thinking
  • Decision-making under uncertainty
  • Capital allocation mindset

๐Ÿ“ˆ What Iโ€™m Doing Now

  • Expanding the Actuarial Tracker (features + distribution)
  • Building higher-signal projects (finance + risk focused)
  • Networking with actuaries, consultants, and industry professionals
  • Preparing for internships (Actuarial / Investment / Risk)

๐ŸŽฏ Direction

I am aiming to become:

โ†’ An actuary who understands business, not just models
โ†’ Someone who can move from technical โ†’ strategic โ†’ capital allocation roles

Long term:

  • Investment / ERM / high-level decision roles
  • Building assets (equity, businesses, systems)

โšก Interests

  • Financial systems & wealth building
  • Risk and uncertainty
  • Business strategy
  • Chess

๐Ÿ“ซ Letโ€™s Connect

Popular repositories Loading

  1. AI-Assisted-Mack-Chain-Ladder-Analysis AI-Assisted-Mack-Chain-Ladder-Analysis Public

  2. Internal-Capital-Model Internal-Capital-Model Public

  3. Dynamic-ALM-Model Dynamic-ALM-Model Public

  4. Insurance-Pricing-Warehouse-and-Analysis Insurance-Pricing-Warehouse-and-Analysis Public

    JavaScript

  5. actuarial-application-tracker actuarial-application-tracker Public

    Actuarial Applications Tracker for Australian students ยท ยฉ Rohith Narayanan ยท CC BY-NC-ND 4.0

    HTML

  6. Rohith-actl Rohith-actl Public