ML · markets · models

Apoorv
Singh

Machine Learning Engineer × Quantitative Finance

01 / ABOUT

Physics-trained.
Finance-focused.

Dual-degree graduate from BITS Pilani with an M.Sc. in Physics and B.E. in Mechanical Engineering. I have worked as a Consultant at EY India and an Associate at Axtria, building machine learning models for time-series anomaly detection, NLP-based news sentiment analysis and quantitative finance.

02 / EXPERIENCE

Professional experience

OCT 2022 — APR 2024Gurgaon, IN

Consultant — EY India

Built time-series anomaly-detection workflows using GANs, Orion, Pandas and Matplotlib.
Developed a multivariate regime-switching model with PCA, K-Means clustering, Kalman and HP filters, and Silhouette analysis.
Worked on the FRTB Standardised Approach for market risk and built Python VaR/CVaR calculators using historical simulation.
Created an NLP Transformers model to study news sentiment against stock-price movements.

JUL 2021 — SEP 2022Noida, IN

Associate — Axtria

Automated Python ETL workflows for a pharmaceutical product.
Built data-quality checks and pipelines for reliable downstream analysis.
Extracted and processed data from representative calls and pharmacy sales.

APR 2024 — JUL 2026Delhi, IN

Full-time Preparation — UPSC Civil Services Examination

Cleared the Civil Services Examination Prelims twice.
Appeared for Mains in 2024 and 2025 with Physics Optional.

03 / PROJECTS

Selected work

PROJECT 01

Reliance Earnings Intelligence RAG

Built a financial-document intelligence system for Reliance Industries earnings that combines structured financial facts with hybrid semantic and BM25 retrieval. A Python calculation engine handles growth, margins and segment analysis while answers retain page-level source citations; the evaluated Q1 FY27 seed set passed 26/26 checks.

View repository ↗

PythonRAGFastAPIPostgreSQLpgvectorStreamlit

PROJECT 02

NIFTY ARIMA Time-Series Forecasting

ARIMA forecasting model for NIFTY data, evaluated against a persistence baseline.

PythonARIMATime Series

PROJECT 03

Efficient Portfolio Frontier Plotter

Portfolio-optimization app generating the efficient frontier and Sharpe-ratio-maximizing allocations, with custom CSV uploads from Yahoo Finance.

PythonFlaskMongoDB

04 / SKILLS

Technical toolkit

LANGUAGES

PythonC++SQL

MACHINE LEARNING

GANsAnomaly DetectionNLPTransformersPCAK-Means Clustering

QUANTITATIVE

Time-Series AnalysisARIMARegime-Switching ModelsPortfolio OptimizationCAPMOptions / Greeks

TOOLS

PandasMatplotlibFlaskMongoDBLinuxAWSGCPMS Excel

05 / EDUCATION

Education & certifications

BITS PILANI · JUL 2021

M.Sc. (Hons.) Physics
B.E. (Hons.) Mechanical Engineering

CGPA 7.33 / 10

Financial Markets

COURSERA · FEB 2022

Mathematics for Machine Learning

COURSERA · JUL 2021

06 / CONTACT

Let’s build something rigorous.

EMAILcontactapoorvsingh@gmail.com LINKEDINapoorv-singh-99720317a GITHUBapoorvsingh090 LEETCODEsinghapoorv