sb.FINANCE / DATA / AI
AN INDEPENDENT PORTFOLIO
SELECTED WORK / 2025—26

Shivaanjan “Rishi” Bhattacharjee

Move closer. I’m Shivaanjan.Slide across my name. I’m Shivaanjan.

I’m Shivaanjan. Call me Rishi.
I work where finance, data and AI meet.

Explore the work ↓SCROLL TO UNFOLD ↓
01 / A LITTLE CONTEXT

Financial questions.
Research discipline.
A builder’s instinct.

Finance gives me the questions: how decisions are made, where risk hides, and what the numbers leave out.

Research makes me test the answers. At Warwick Business School, my MSc Financial Technology work explores what language models can actually add to financial analysis.

Building closes the loop. I turn those questions into quantitative systems and digital products that people can inspect, use and challenge.

02 / THE TOOLKIT

What the work
is built with.

Chosen for the job, not the CV.
Grouped the way I use them.

Programming
Python · PostgreSQL · TypeScript · Git · R
ML & AI
scikit-learn · Hugging Face · Claude API
Data engineering
Apache Kafka · Redis · Docker · GitHub Actions · FastAPI
BI & product
Looker Studio · PostHog
03 / THE CONNECTIONS MATTER

Between
disciplines.

Five ways of thinking.
Stronger in combination.

04 / SELECTED WORK

Ideas, under
examination.

Four ways of approaching a question.
From research to working systems.

01 / 2026 / Research assistant

ATLAS

A research workspace that connects the dots.

Connected knowledge. Traceable research.Explore project
02 / 2026 / MSc dissertation

Reading between models

Does a language model see something FinBERT misses?

186 firms. 55 months. One harder question.Explore project
03 / 2026 / Quantitative work

The quantitative desk

From financial assumptions to testable decisions.

Models you can question, not just run.Explore project
04 / 2025 / Product concept

Loom

One clear picture of fragmented credit.

Credit visibility, before another commitment.Explore project

ATLAS, 1 of 4

ALSO ON THE BENCH

  • StreamGuard

    Real-time card-fraud scoring service.

    Kafka transaction stream, Redis velocity features and a LightGBM model served through FastAPI, with a PostgreSQL decision log, Docker, CI and latency and drift monitoring.

  • MuleNet

    AML money-mule network detection.

    Graph analytics — fan-in and fan-out, pass-through, community detection — over synthetic AML transactions, with explainable risk scores and an investigator workbench.

  • RiskLens

    Market-risk engine.

    VaR and Expected Shortfall by historical simulation, GARCH and Monte Carlo, with Kupiec and Christoffersen backtests and historical stress scenarios.

In build (work in progress). Listed because the direction is set, not because the results are in.

View the full index ↗
05 / THE TRACK RECORD

Where the habits
came from.

Two roles, two degrees.
Numbers where there are numbers.

Experience

SEO Data Engineer

Mar 2024 — Jun 2025
CommitBiz · Remote — Dubai
  • Built Python and SQL ETL pipelines loading Google Search Console and GA4 data into PostgreSQL for 25 client sites, around 40M rows, replacing manual exports and cutting weekly reporting from 12 hours to 1.
  • Modelled traffic with dbt and Looker Studio, flagging 1,800 pages with falling click-through rates; rewrites of the top 300 lifted organic clicks 18% over three months.
  • Added automated data-quality tests — freshness, row counts, schema — with GitHub Actions alerts, taking broken client reports from about four a month to none.

Financial Analyst, Summer Intern

Jan 2023 — Jun 2023
Dalrada Financial Corporation · Bangalore
  • Built Excel DCF and trading-comparables models for six mid-cap companies, feeding two investment memos reviewed by the senior analyst.
  • Automated monthly ratio reporting across 40 client portfolios in Python, cutting preparation from two days to three hours.

Education

MSc Financial Technology

2025 — 2026
University of Warwick · Warwick Business School
  • Overall mark 74%, top 10% of cohort
  • GRE 337/340 — verbal 169, quantitative 168

Dissertation: LLM-derived financial sentiment, abnormal returns and Black-Litterman portfolio construction.

BSc Data Analytics and Finance

2022 — 2025
Jain University · Bangalore
  • Ranked 1st in cohort in each of the final three semesters
  • Average CGPA 9.4/10
06 / AWAY FROM THE DESK

There’s more
to the person.

Cricket, sprinting, music and the occasional solo trip. I like things that reward attention — on a track, in a dataset, or somewhere I haven’t been before.

OFF THE CLOCK / ON REPEAT

Music belongs here too. A personal selection is coming once the playlist is ready.

07 / KEEP THE CONVERSATION GOING
Something
in common?↗

For a role, a research question, or something worth building.