Summary
Overview
Work History
Education
Skills
Additional Information
Certification
Timeline
Generic

UMANG RANK

Surat

Summary

Detail-oriented professional with experience in data analytics, corporate finance, and quantitative trading, proficient in leveraging Python and Excel to collect, clean, and analyze large datasets. Skilled in statistical and quantitative methods including correlation, regression, anomaly detection, and time-series analysis to identify patterns and support decision-making. Another big interest is astronomy, space and time.

Overview

2
2
years of professional experience
1
1
Certification

Work History

Finance Intern

IBM - Corizo
09.2025 - Current
  • Assisted in financial data collection, cleaning, and reconciliation to ensure accuracy of reports.
  • Conducted variance, ratio, and trend analysis using Excel and Python to support decision-making.
  • Built financial models and forecasts to evaluate business performance and investment opportunities.
  • Prepared dashboards, reports, and presentations to communicate key financial insights.

QUANTITATIVE TRADER

Independent
03.2024 - Current
  • Developed and backtested algorithmic trading strategies with predictive modeling and risk assessment, achieving 90–143% annualized returns.
  • Collected, cleaned, and structured large-scale financial datasets using Python and Excel.
  • Applied statistical, quantitative, and time-series analysis to extract insights and market patterns

Education

Master of Arts - Economics

Manipal University
04.2027

Labs - Data Science

World Quant University
Washington D.C.
12-2025

Bachelor of Science - Animation And Special Effects

Yashwantrao Chavan University
Mumbai, India
06-2025

Skills

  • Data Analytics
  • Quantitative Analysis
  • SQL Databases
  • Statistical Analysis
  • Predictive Modeling
  • Big Data
  • Excel Macros & VBA
  • Tableau

Additional Information

Cryptocurrency Stationarity Analysis App (Github Link)

  • Does stationarity analysis to find trending and stationary markets for market-making by fetching over 3,000,000 data points within 1 minute.
  • Uses hurst exponent to find mean-reversion in data and uses correlation, ADF, mean deviation plotting and price plotting for best execution.

Certification

  • Google Data Analytics, Google
  • Data Analytics Job Simulation, Deloitte
  • Excel for Data Analyst, IBM
  • Financial Markets, Yale University

Timeline

Finance Intern

IBM - Corizo
09.2025 - Current

QUANTITATIVE TRADER

Independent
03.2024 - Current

Master of Arts - Economics

Manipal University

Labs - Data Science

World Quant University

Bachelor of Science - Animation And Special Effects

Yashwantrao Chavan University

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