Priyam Alok
Priyam Alok Priyam Alok

Musings on insurance tech, finance
and life

Personal projects

A mix of things I've built, some open-source, some study tools, and a few proprietary ones.

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  • Ongoing

    Chain-ladder reserving work (LDFs, CDFs, IBNR) that turned into ongoing open-source contributions to chainladder-python, the main Python library for actuarial reserving, spanning docs, core API and backend cleanup.

  • Archived

    A report on how India's shift to electric vehicles reshapes motor insurance claims, costs and pricing.

  • Active
    AlphaTail: Pet Insurance Pricing and Reserving Engine

    A pet insurance pricing and reserving engine in Rust, using frequency/severity GLMs and chain-ladder methods.

  • Active
    ActuGLM

    A GLM-based insurance pricing platform, private and in active development.

  • Active
    Nucleus: Low-Latency Systems in Rust

    A personal project for getting hands-on with low-latency systems programming in Rust: concurrency, memory layout, and execution speed.

  • Maintained

    A study companion that simplifies the Open Actuarial Education's Loss Data Analytics text.

  • Active
    Calcii: Experimentation Sandbox

    A sandbox for sharpening engineering fundamentals and prototyping ideas around performance, tooling and computation.

  • Active
    Crypto and DeFi Finance: Exploration

    Getting hands-on with crypto and decentralized finance, working toward contributing to DeFi and on-chain financial apps.

  • Maintained

    Interactive mindmap for SA3 general insurance pricing curriculum

  • Maintained

    Interactive mindmap for CS2 actuarial curriculum with detailed navigation

  • Maintained

    Interactive mindmap for CS1 actuarial curriculum with detailed navigation

  • Maintained

    Interactive mindmap for CM2 actuarial curriculum with detailed navigation

  • Maintained

    A Dockerized ETL pipeline that cleans and enriches claim data into PostgreSQL, automated daily with GitHub Actions.

  • Archived

    Built a two-part frequency/severity GLM with chain-ladder reserving to fix a portfolio's loss ratio.

  • Archived

    Segmented policyholders into four risk personas using PCA to guide targeting and retention.

  • Maintained

    A Dash app visualising loss ratio development by line and region.

  • Completed

    An actuarial-grade parametric crop cover for Indore's soybean farmers: rainfall-triggered, EVT-calibrated on 20 years of ERA5-Land data, priced from the hazard up to a regulator-ready term sheet.

  • Maintained

    An open-source visual lab adapted for CS2 topics like survival models, risk modeling and simulation.

  • Maintained

    An open-source visual lab customised for CS1 actuarial concepts, with more updates planned.

  • Completed

    Led a 5-person team (group 48) pricing a 10,000-policy personal motor portfolio with frequency–severity GLMs for the 2025 CAS East Asia Summer Program, then competing in a multi-round market simulation. Placed 8th of 50, just outside the final.

  • Maintained

    Interactive mindmap for General Insurance principles covering financial management, reserving, pricing, and reinsurance