About me
I am a results-driven Data Analyst with over 4 years of experience leveraging SQL, Python, R, Excel, and Power BI to derive actionable insights and optimize decision-making. With a Master's degree in Industrial Engineering (Data Analytics specialization) from the University at Buffalo, I blend technical rigor with business acumen to tackle real-world challenges.
My experience spans building GPT-based LLM solutions for automating grading, streamlining supply chain operations through predictive analytics, and delivering powerful dashboards that drive executive decisions. I am passionate about converting complex datasets into measurable business value and thrive in collaborative, fast-paced environments.
Core Expertise & Impact Areas
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Data Visualization
Designing intuitive dashboards and visual reports using Power BI and Excel to uncover trends and enable decision-making.
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ETL & Automation
Building efficient Python-based pipelines and automating data workflows to save time and enhance accuracy.
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Machine Learning
Developing predictive models using SVM, LightGBM, and clustering algorithms for real-world applications like demand forecasting.
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Statistical Modeling
Applying A/B testing, regression, and hypothesis testing to extract insights and support data-driven decisions.
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Supply Chain Analytics
Enhancing forecasting, inventory optimization, and delivery performance using data models and visualization tools.
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LLM & AI Solutions
Creating intelligent tools using GPT-based large language models (LLMs) to automate tasks like evaluation, text analysis, and recommendation systems.
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Cloud Deployment
Deploying data solutions on Azure and AWS platforms for scalability and real-time access to insights.
