Summary
Overview
Work History
Education
Skills
Websites
Timeline
Generic

Himalai Appikatla

Normal,US

Summary

Results-driven Quantitative Analyst with over 2.5 years of experience specializing in machine learning, econometrics, and statistical modeling within financial markets. Demonstrated ability to develop comprehensive quantitative research pipelines that include data processing, predictive modeling, and back testing, effectively driving investment insights and enhancing portfolio performance. Expertise in Python, time-series analysis, and portfolio construction, along with a strong understanding of equities and fixed income. Committed to leveraging analytical skills to support risk-focused decision-making and optimize investment strategies.

Overview

4
4
years of professional experience

Work History

Risk Analyst

Barclays
Chicago
06.2025 - Current
  • Developed ML-driven regime detection model (Random Forest, 95% accuracy) to dynamically allocate across multi-asset portfolio.
  • Walk-forward backtesting with transaction costs showed Sharpe improvement (1.43 vs 1.35 static) and controlled drawdown (-7.8%).
  • Implemented full quantitative pipeline in Python (Pandas, NumPy, Scikit-learn) with benchmark comparison (Static, 60/40, Risk Parity).

Jr. Quantitative Analyst

TresVista
India
07.2022 - 03.2023
  • Built Random Forest demand forecasting model using engineered time-series features (lag, trend, seasonality, behavioral signals) to capture nonlinear price-demand relationships.
  • Developed pricing optimization engine to estimate revenue- and profit-maximizing price points under varying market conditions.
  • Backtested strategy with walk-forward validation across scenarios, achieving ~19% improvement in revenue and profitability over baseline pricing.
  • Implemented full ML pipeline in Python (Pandas, NumPy, Scikit-learn) with end-to-end modeling, evaluation, and optimization.

Education

Master of Science - Quantitative Economics

Illinois State University
Normal
05-2025

Skills

  • Quantitative Research
  • Portfolio & Risk Analytics
  • Financial Modeling
  • Machine Learning
  • Time-Series Analysis
  • Backtesting
  • Portfolio Optimization
  • Statistical Modeling
  • Python (Pandas, NumPy, Scikit-learn) Investment Analysis




Timeline

Risk Analyst

Barclays
06.2025 - Current

Jr. Quantitative Analyst

TresVista
07.2022 - 03.2023

Master of Science - Quantitative Economics

Illinois State University