graph by datavruti
mygraph.id/palakkhanna35

Palak Khanna

Data & AI Analyst

Gurugram, IndiaBuilding since Jul 2021 (5+ yrs)
Headline

Data & AI Analyst blending graduate training in extreme value and stochastic theory with hands, on delivery of enterprise, scale ESG data pipelines, connecting rigorous quantitative methods to production data operations.

below 2% error ratesData Accuracy
Represented Roles

Specialized Functions & Roles.

Engineering capabilities and specialized roles demonstrated across real production work.

Data & AI Analyst

Primary Role

Quantitative Analyst

ESG Data Analyst

Analytics Engineer

Signals

Live in Production.

Each signal ties back to a specific, evidenced moment.

Built

2 moments

Systems shipped end-to-end, from schema to deploy.

  • •Building a production, grade market data pipeline from scratch
  • •Stood up automated ESG data pipelines and QA workflows

Scaled

1 moment

Taken from prototype to real production volume.

  • •Delivered ESG datasets across 1,000+ companies at enterprise scale
Growth trajectory

Palak's career, mapped.

A timeline of milestones captured directly from real work.

  1. Started applying math to real markets

  2. Took on trading strategy development and teaching

  3. Deepened technical grounding in advanced statistics

  4. Moved from research to production data ownership

  5. Became the technical bridge to a major client

Stack

Daily tools.

What Palak actually reaches for, pulled from the tags attached to captured moments.

Work

Key Work By Role

What they built, shipped and owned at each role, with impact numbers where there are any.

Sevva AI

Data & AI Analyst · Sep 2024 - Jul 2026

Stood up automated ESG data pipelines and QA workflows

Built and maintained automated data pipelines and QA workflows using dbt and Kestra for ESG data ingestion, transformation, and validation, producing data quality reports for enterprise financial clients.

Below 2% error rates through SQL and Python validation600+ indicators per quarter processedGenerated 3 to 4 data quality reports per quarter through automated ESG data pipelines and QA workflows.
Stack:dbtKestraSQLPythonESG
View case study

Delivered ESG datasets across 1,000+ companies at enterprise scale

Managed and delivered ESG datasets covering 1,000+ companies and 600+ indicators per quarter for a leading global financial institution, achieving below 2% error rates through SQL and Python validation.

1,000+ companies covered600+ indicators per quarterBelow 2% error rate
Stack:ESGSQLPythonData Validation
View case study

QuantInsti Quantitative Learning

Quant Analyst Intern · Apr 2022 - Jul 2022

Beidou Financial Inc

Research Intern · Jul 2021 - Oct 2021
Outside Work

Side projects, open source & publications.

Independent builds, open-source contributions, technical writing, and experiments beyond the day job.

Side project

Portfolio Simulation Model

Built a portfolio simulation model using stochastic differential equations and Black, Scholes to simulate stock and options portfolios with transaction costs and delta, hedging. A quantitative project aimed at building something rigorous from first principles.

Present
Side project

Portfolio Simulation Model

Built a portfolio simulation model using stochastic differential equations and Black, Scholes to simulate stock and options portfolios with transaction costs and delta, hedging, aiming to build something rigorous from first principles.

Present
Experiment

Orchestration Concepts

Currently working through orchestration concepts as the next step after building the market data pipeline.

Present
Side project

Market Data Pipeline

Built a market data pipeline covering API ingestion, OHLC validation, outlier detection, and multi, format storage across CSV, Parquet, and PostgreSQL, containerised with Docker and tested via GitHub Actions CI/CD. Started as practice for production engineering concepts but grew into a full project with 18 passing unit tests, and next they plan to work through orchestration concepts.

Present
Side project

Portfolio Simulation Model

Simulated stock and options portfolios with transaction costs using stochastic differential equations; implemented delta-hedging and expected utility optimisation.

Side project

MSc Dissertation - Extreme Event Risk Modelling

Non-parametric optimization of risk functionals for extreme financial events; compared robust vs. classical approaches; established second-order out-of-sample convergence guarantees.

Learning

Formal record.

  • MSc Applied Mathematics
    King's College London
    2022 - 2024
  • BSc Mathematics
    St. Xavier's College
    2018 - 2021
Activity heatmap

A record of momentum.

A combined view of Palak's activity across the tools used daily.

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Profile last updated 1 month ago.

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