Jan 2025 – Apr 2025 · 3 mos · Austin, Texas Metropolitan Area · On-site

• ● Conducted a quantitative risk assessment of AQR’s Multi-Asset Style Premia Strategy, evaluating the fund’s resilience across economic regimes using Bloomberg Terminal, SEC filings, and Morningstar datasets.
• ● Modeled portfolio diversification and risk exposures using Modern Portfolio Theory, 10,000-path Monte Carlo simulations, and scenario-based stress testing to quantify tail risk and breakdowns across style factors.
• ● Identified key vulnerabilities including market, model, and liquidity risks; proposed actionable mitigation strategies based on institutional best practices and CFA-aligned principles
• ● Delivered key insights through a professional research poster at the UT Austin Graduate Research Symposium, translating complex quantitative findings into practical recommendations for asset managers and investment teams.

May 2024 – Aug 2024 · 3 mos · Austin, Texas Metropolitan Area · On-site

• ● Implemented ARIMA and SARMA time series methods to visualize power consumption fluctuation trends during peak buy-sell across the year, resulting in accurate predictions to save electricity costs for 2024-2025, thus increasing $3M+ in profits.
• ● Led 3 energy audits, analyzed 2023–2024 ERCOT data to identify inefficiencies, and implemented energy-saving measures, boosting gross margins by 7% and advancing sustainability.
• ● Engaged with energy analysts and operations teams to develop a proof-of-concept curtailment analysis model, leveraging a neural network-based time series forecasting approach.
• ● Utilized Grafana-generated forecasts to analyze dips and peaks through minima and maxima points, optimizing the Curtailment Quantification (CQ) metric. This improved downtime quantification accuracy by 25%, reduced downtime by 15%, and streamlined mining operations.
• ● Partnered with the finance team to automate foundry reports using Excel macros and implemented data aggregation and visualization techniques through Grafana dashboards. Utilized statistical analysis to identify cost-saving opportunities, reducing report generation time by 50% and contributing to a 5% reduction in operational costs, enabling data-driven decision-making.
• ● Designed and implemented high-performance data pipelines by leveraging AWS architecture and C# programming to automate the extraction and analysis of miner operation time series data, enhancing data ingestion time by 40%.

Jan 2024 – Present · 2 yrs 5 mos · Austin, Texas, United States · On-site

• Graduate Teaching Assistant, UT Austin - College Of Natural Sciences: Physics, Astronomy and Mathematics
• ● Directed 3-5 weekly lab sessions, cultivating hands-on learning experiences that improved students' practical understanding, resulting in a 20% increase in conceptual clarity.
• ● Mentored and coached 200+ students, providing personalized academic support during weekly office hours, leading to a 25% increase in student engagement and participation.
• ● Revamped and streamlined course materials, incorporating interactive methods and real-world applications, leading to a 10% increase in student satisfaction and retention.
• ● Collaborated with faculty to implement new teaching strategies, including advanced problem-solving techniques, contributing to a 15% improvement in final exam scores.
• ● Facilitated data-driven insights for continuous course improvement by analyzing 30+ student feedback, optimizing teaching approaches, and refining curriculum design.

Aug 2023 – Present · 2 yrs 10 mos · Austin, Texas Metropolitan Area · On-site

Sep 2022 – Mar 2023 · 6 mos · Remote · Remote

• Data Science Intern | Apache Spark, Tableau, Time Series Forecasting
• ● Collaborated with a cross-functional team of 5 analysts and engineers to apply advanced analytics to vendor data, incorporating PowerBI tools and visualization dashboards to enhance market forecasting accuracy and contributing to a 20% increase in sales revenue within the 1st quarter of implementation.
• ● Led the deployment of machine learning models into production environments, by utilizing Regression and Clustering techniques in order to optimize workflow processes, reducing processing time by 30%, and a 10% improvement in customer retention.
• ● Partnered with marketing and product teams to develop predictive algorithms utilizing customer segmentation, behavior analysis, and personalized recommendations, driving a 40% increase in market revenue and enhanced customer lifetime value (CLTV) for the consumer brands Unilever and Procter & Gamble.

Jan 2022 – Oct 2022 · 9 mos · Denton County, Texas, United States · Remote

• Undergraduate Research Engineer | HPE VAN SDN Controller, OpenFlow, Mininet
• ● Achieved 99.993% accuracy in DDoS detection for SDN datasets, utilizing random forest regressor algorithm, reducing attack-related costs by 15%, improving network security by 20%, minimizing revenue loss from disruptions, and enhancing operational stability.
• ● Optimized network latency by reducing average round-trip time by 40% through visualization of node count relationships, improving overall system efficiency, and reducing operational bottlenecks.
• ● Benchmarked open-source DDoS detection tools, identifying key mitigation strategies that reduced downtime costs by 30% and enhanced system resilience.

Sep 2021 – Oct 2021 · 1 mo · San Fransisco · Remote

• Selected as one of the elite few from a nationwide pool of candidates to join the exclusive Github Field Day conference, representing the top 10% of community leaders across India.
• Contributed insights and engaged in high-level networking with distinguished tech industry figures during the intensive one-day event, fostering collaborations and knowledge exchange among innovative minds.
• Secured participation in sessions led by renowned individuals in the tech industry, gaining insights into cutting-edge trends and strategies.
• Successfully navigated a highly competitive selection process, being part of the exclusive 30-member cohort chosen from the top echelon of community leaders in the country.

Apr 2019 – Apr 2021 · 2 yrs

• Toastmasters International
• · Delivered 5+ speeches and received consistent recognition for clarity, persuasion, and audience engagement, enhancing public speaking proficiency and confidence.
• · Acted as a Speech Evaluator, providing constructive feedback to 10+ peers, driving measurable improvements in speech delivery and communication effectiveness.
• · Organized and facilitated weekly meetings, leading to a 20% increase in member participation and fostering a supportive environment for skill development and leadership.