Stuti dahiya

Quantitative Data Analyst

Indore 2+ yrs exp 85 · Excellent

About

Quantitative Data Analyst with experience building production-grade data pipelines, automation scripts, and APIs in a fintech environment. Strong in Python, SQL, REST services, and workflow automation, with hands-on experience processing structured and unstructured data at scale. Proven ability to clean, transform, and analyse timeseries data.

Skills & Expertise (51)

Python Intermediate

8.1/10

Years Exp

Pandas Intermediate

7.6/10

Years Exp

SQL Intermediate

7.3/10

Years Exp

Azure Blob Intermediate

7.2/10

Years Exp

ETL Pipelines Intermediate

7.0/10

Years Exp

ETL Pipeline Development Intermediate

7.0/10

Years Exp

CI/CD Pipelines Intermediate

6.9/10

Years Exp

Azure Blob Storage Intermediate

6.8/10

Years Exp

Azure Data Lake Data Validation Financial Data Modeling Analytical Thinking Attention to Detail Ownership Cross-team Collaboration Bash Integration TimeSeries Data Processing SQL-based Data Modeling SQL-Python Connectivity Azure Data Factory Azure DevOps Power BI Machine Learning Algorithm HTML CSS JavaScript bootstrap Figma Matplotlib PySpark BeautifulSoup SciPy Databricks Git GitHub JupyterLab VS Code Advanced Excel Microsoft Selenium Putty Ubuntu Jenkins MS Excel Power Query MySql Time-Series Data NumPy API Integration Workflow Automation

Work Experience

Quantitative Analyst & Developer

Quantile Analytics Pvt. Ltd.

Jul 2024 - Present

Joined as a Research and Development Intern and transitioned into a full-time role as a Quantitative developer and Analyst in a FinTech environment. Enhanced and maintained multiple index strategy scripts including market-cap, equal-weight, and price-weighted indices; modelled index screening, inclusion, and weighting logic and resolved production discrepancies. Built automated Python + SQL ETL pipelines to ingest, clean, and validate large-scale financial datasets from SEC filings, Bloomberg, and exchanges. Built a Python-based automation to extract underlying index disclosures from SEC Form 497 ETF filings using pandas, requests, Beautifulsoup, and EDGAR APIs, with alert generation and historical tracking via Azure Blob Storage. Built a scalable broker email ingestion pipeline using Python, pandas, openpyxl, and YAML to normalize heterogeneous broker data, integrate with IRP via APIs, and persist outputs in Azure Blob Storage with production-grade logging. Automated extraction and normalization of company metadata (HQ, EIN, incorporation) into structured datasets for analytics pipelines using pandas, requests, sys. Built an automated Python pipeline to aggregate temporal forecast data, enrich it with IRP trade metadata, calculate signal deviations, and generate dashboard-ready Excel reports for index rebalancing analysis using cloud storage and APIs. Implemented CI/CD pipelines using Jenkins and Databricks to automate portfolio generation and analytics workflows, improving reliability and deployment efficiency.

Assistance System Engineer Intern

QuantaRock System

Jan 2024 - Apr 2024

Enhanced and developed additional subpages for the company website using HTML, CSS, JavaScript, and Bootstrap. Collaborated on UI/UX design and prototyping using Figma to improve website usability and layout consistency.