About Me

• Set to begin full-time as a Software Engineer at ADP Canada in July 2025, focusing on building scalable payroll and HR solutions.

• Facilitated weekly tutorials for STA107H5S: Introduction to Probability and Modelling, engaging students in activities on discrete distributions, sampling, and statistical inference.
• Provided guidance on R programming, supporting students in simulating probabilities and applying statistical concepts.
• Assessed student submissions and provided feedback on assignments, ensuring alignment with course learning outcomes.

• Developed a machine learning classification model to identify tax form types, managing a real-time dataset of 800,000+ entries.
• Refined keyword search algorithms and deployed data visualization tools, such as word clouds, for enhanced data analysis and stakeholder engagement.
• Collaborated with cross-functional teams to integrate data-driven solutions, boosting strategic decision-making and operational efficiency.

• Conducted research on causal inference models with Prof. Sonya Allin.
• Authored literature reviews and presented findings at lab meetings.

• Delivered tutorials on ML, neural networks, and computer vision.
• Mentored students on AI projects, fostering curiosity and skills.
• Assessed assignments and provided constructive feedback.

• Drove initiatives to enhance residence life andsmooth transitions for new students.
• Led a team to organize community‑building events andcoordinate sub‑teams for maximum impact.
• Served as a voting member on Food Quality Services toimprove campus dining.

• Collaborated within the EY Strategy Analysis Team to study the evolving Asia Pacific 3D Printing market.
• Utilized statistical modeling and market assessments to evaluate the market's feasibility for the I.I.T. Delhi Incubation Center.
• Developed data-driven models for optimizing 3D Printing filament procurement strategies through regression analysis and trend forecasting.

• Led research on the prediction of Dengue and Tuberculosis using ensemble-based forecasting techniques, contributing to proactive public health measures.
• Co-authored and presented research papers at international conferences, including the International Conference on AI and the Swiss OpenTox Conference.

• Analyzed the Indian electric mobility value chain and market incentives.
• Assisted in research on battery chemistries and policy impacts on EV adoption.
• Collaborated cross‑functionally to developrecommendations for two‑ and three‑wheeler transitions.

Developed and evaluated a multilingual Android app alongside targeted social media campaigns, achieving measurable reductions in vaccine hesitancy across three countries.

• https://doi.org/10.33137/utjph.v9999i1.38113

Provides a comprehensive overview of time‑series forecasting methods, challenges, and enabling technologies for large‑scale IoT deployments.

• https://doi.org/10.1201/9781003277330-13

Combined multiple forecasting algorithms into one ensemble to significantly improve the accuracy of outbreak predictions for diseases like dengue and tuberculosis.

• https://doi.org/10.1007/s00354-020-00119-7

Explored ARIMA-based techniques to optimize parameter selection and improve forecasting precision across diverse datasets.

• https://doi.org/10.37418/amsj.9.6.75