I am currently completing an MSc in Quantitative Finance & Risk Management at Newcastle University, building on four years of experience developing data-driven solutions for financial services at Infosys. My interests sit at the intersection of investment research, quantitative finance and technology. I enjoy applying statistical modelling, econometrics and Python to transform financial data into investment insights and systematic decision-making frameworks. Alongside my studies, I have developed systematic FX trading strategies, built reusable quantitative research infrastructure and conducted empirical research into cross-asset volatility transmission using VAR, GARCH and Diebold–Yilmaz connectedness analysis. My work combines financial theory with practical implementation through modular Python research tools. Outside academia, I actively manage a multi-asset investment portfolio across Indian and US equities, ETFs, mutual funds, cryptocurrencies and derivatives. I regularly evaluate businesses using financial statement analysis, valuation techniques and macroeconomic research, with a particular interest in identifying scalable business models and long-term investment opportunities. I am seeking opportunities in quantitative research, investment research, systematic investing, venture capital and financial technology where I can combine rigorous analytical thinking with genuine curiosity about markets and businesses.
Experience
Financial Data & Analytics Platform
Financial Data & Analytics PlatformNov 2025 – Present
<ul class="tight" data-tight="true"><li><p>Co-founded a quantitative research platform focused on investment research, systematic trading and financial data analytics.</p></li><li><p>Built an 800+ line modular Python platform integrating Bloomberg and Yahoo Finance data for automated data collection, feature engineering, valuation analysis and portfolio analytics.</p></li><li><p>Developed reusable research infrastructure supporting factor construction, backtesting, hypothesis testing and systematic strategy development across equity and FX markets.</p></li><li><p>Designed scalable architecture separating data acquisition, modelling, analytics and visualisation to improve research efficiency.</p></li></ul>
Senior Systems Engineer | Infosys
Infosys LtdJun 2023 – Aug 2025
<ul class="tight" data-tight="true"><li><p>Developed Python and C# automation solutions supporting financial reporting and enterprise analytics, reducing manual processing effort by up to 40%.</p></li><li><p>Analysed more than 10 million financial records using Python and SQL while designing scalable anomaly detection and data quality frameworks.</p></li><li><p>Built automated analytical workflows that reduced stakeholder review time by 30% and improved reporting consistency.</p></li><li><p>Led a team of three engineers while partnering with financial services stakeholders to deliver data-driven analytical solutions.</p></li></ul>
Systems Engineer – Technology & Data Analytics
Infosys LtdJun 2021 – Jun 2023
<ul class="tight" data-tight="true"><li><p>Developed SQL data models and Power BI dashboards supporting portfolio monitoring and credit risk analytics across multiple business functions.</p></li><li><p>Automated financial data extraction, transformation and validation processes across enterprise systems.</p></li><li><p>Improved reporting quality through root cause analysis, data governance and analytical process optimisation.</p></li></ul>
Education
MSc Quantitative Finance & Risk Management, Quantitative Finance
Sep 2025 – Aug 2026
Founding Member & ESG Officer, Newcastle University Investment Fund | Bloomberg Global Trading Challenge | Quantitative Research Projects
<p>Quantitative Finance MSc focused on systematic investing, quantitative research and financial modelling. Coursework and independent research include derivatives pricing, econometric modelling, Monte Carlo simulation, portfolio optimisation and time-series analysis using Python. Current dissertation investigates volatility spillovers across equity and digital asset markets using VAR, GARCH and Diebold–Yilmaz connectedness analysis.</p>
Bachelor of Technology, Computer Science
Aug 2017 – May 2021
Capstone: Python real-time data pipeline with automated validation and modular OOP architecture.
<p>Studied software engineering, algorithms, data structures and object-oriented programming. Developed applications in Python and C++, strengthening analytical thinking, software development and quantitative problem-solving skills.</p>
Skills
Languages
- English
- Full professional proficiency
- Hindi
- Native or bilingual proficiency