ISHAN SALUJA

I am a quantitative researcher with a strong foundation in Finance and Computer Science, experienced in financial modeling, systematic strategy research, and data-driven decision support. I specialize in building Python-based analytics pipelines and conducting multi-asset research that informs business strategy.

At Suhani World I led quantitative research across equities, fixed income, and alternatives, built and backtested investment strategies, and designed dashboards and automated data pipelines to accelerate reporting and detect anomalies early. My models and analyses supported capital allocation and revenue-forecasting decisions used by leadership for expansion planning.

Previously, as a software developer at Accenture, I developed Python visualization solutions and integrated machine learning into production workflows, improving analysis efficiency and predictive accuracy while mentoring junior developers. I have also applied automation and ML in internship and independent projects, delivering bots and predictive models that reduced manual work and demonstrated strong predictive performance.

I pursue roles where I can apply quantitative research, time-series analysis, and systematic trading expertise to solve real business problems, continually improving models and operational pipelines to drive measurable outcomes.