Senior Data Analyst | Supply Chain Analyst
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I am a result oriented Senior Data Analyst and Data Scientist with 5+ years of experience delivering data-driven insights and transforming complex datasets into actionable strategies that improve business performance. My expertise spans statistical analysis, data visualization using Tableau and Power BI, and advanced programming in Python, R, and SQL. I have a deep understanding of machine learning techniques, deep learning, and generative AI, with significant experience working on large language models (LLMs) to build predictive models that drive decision-making.
I thrive in projects where data can unlock value, having successfully led initiatives across multiple industries:
In addition to data analysis, I specialize in machine learning, leveraging frameworks such as TensorFlow, PyTorch, and Scikit-learn to solve complex business problems. I am also passionate about Generative AI and LLMs, and I’ve built innovative solutions using Hugging Face, OpenAI GPT, and other state-of-the-art AI tools.
I excel in collaborating with cross-functional teams, translating technical data into strategic insights, and aligning data science solutions with business objectives. I’m always eager to learn and stay at the cutting edge of AI, data science, and analytics technologies, while applying my skills to help companies make data-driven decisions that lead to measurable business outcomes.
Alliant Infotech
o Integrated procurement, inventory, and supplier data using ETL processes.
o Developed a predictive model using ARIMA and Random Forest to forecast demand, reducing stockouts by 20% and excess inventory by 15%.
o Created Tableau dashboards for supplier performance evaluation and operational efficiency.
o Integrated loan application data and borrower information into a unified database.
o Developed and deployed predictive models using logistic regression and XGBoost, reducing loan default rates by 18%.
o Implemented a Power BI reporting system for real-time risk assessment and decision support.
o Developed an inventory forecasting model using moving average analysis.
o Achieved a 15% reduction in holding costs annually while maintaining an 85% service level through dynamic inventory adjustments and Power BI dashboards.
o Analyzed sales and Google Ads data using Tableau, leading to a 20% increase in conversion rates and a 25% higher ROI.
o Addressed UI/UX issues, reducing bounce rates by 30% and increasing session duration by 40%.
o Provided actionable recommendations that improved overall sales performance by 30%.
o Conducted regression analysis to identify factors affecting costs, achieving an 8% reduction in raw materials expenses and a 5% decrease in transportation costs.
o Utilized ETL operations and statistical procedures for cost optimization and process improvements.
o Leveraged Big Data tools for data collection and analysis, focusing on optimizing manufacturing and logistics processes.
o Monitored automated loading processes for accuracy and efficiency.
Central Michigan University
Master of Science - MS, Information Systems Aug 2022 - May 2024
Grade: 3.95 / 4.00
