I'm most interested in the point where data, AI, and business problems meet. My habit is to understand the actual problem first, work out what the data can genuinely tell us, then build or evaluate the technical solution, and finally explain what changed because of it. The last step matters as much as the rest.
I'm pursuing a Master of Science in Business Analytics at Boston University's Questrom School of Business. Before that I studied Electronics and Communication Engineering with minors in Mathematics and Computer Science, then worked in supply chain analytics and in data analytics and reporting, covering business intelligence and automation along the way. My work has moved steadily toward data engineering, AI and generative AI, analytics, and AI-enabled products.
The engineering background is still the part I use most. It is what makes me ask whether a model is actually measuring the thing we care about, and whether the pipeline behind it will still be correct next month.
Technology gets interesting to me at the moment it improves a decision, a process, or a product.
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The AI technologies above reflect project work and active development rather than claimed mastery.
| Domain | Experience | Focus |
|---|---|---|
| Data Analytics | Professional + Academic | Data exploration, visualization, business analysis and decision support |
| Business Intelligence | Professional | Power BI, reporting, dashboards, DAX, Power Query and stakeholder reporting |
| Data Engineering | Professional + Certification | ETL, pipelines, transformation, data warehousing and Databricks |
| Generative AI | Projects + Current Exploration | LLMs, RAG, AI agents and enterprise AI applications |
| Machine Learning | Academic + Project | Predictive analytics, supervised learning and model evaluation |
| Product Analytics | Projects + Current Exploration | Connecting business and user problems with data and measurable decisions |
| Simulation | Research in Progress | LLM, SLM, statistical and agent-based simulation |
Data Analytics & Reporting Specialist · Aug 2025 – Jul 2026
Analytics, reporting and business intelligence work: using Python and Microsoft Power Platform tools to analyze data, develop reporting, and automate elements of reporting workflows.
Supply Chain Analyst · Nov 2024 – Aug 2025
- Analyzed large-scale datasets to support supply-chain optimization, operational efficiency and cost-focused decision-making.
- Developed data visualizations using Python and Power BI to support strategic decision-making.
- Explored time-series approaches for forecasting supply-chain demand.
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Questrom School of Business M.S. in Business Analytics August 2026 – August 2027 Boston, Massachusetts Business Analytics · Data Analytics · Machine Learning · Generative AI · Statistical Analysis · Data Storytelling · Business Strategy |
B.S. in Electronics and Communication Engineering 2017 – June 2024 GPA 3.943 · Graduated with Highest Honors Minors in Mathematics and Computer Science A quantitative engineering foundation, then the move into analytics, data and AI. |
Microsoft
IBM
UiPath
DataCamp
- B.S. in Electronics and Communication Engineering, graduated with Highest Honors
- Undergraduate GPA: 3.943
- Minors in Mathematics and Computer Science alongside the engineering degree
Interested in the space where data becomes a decision, AI becomes a product, and technology has to prove it was actually worth building.