Hi, Iβm Moiz π
I'm a Data Analyst who loves diving into data to uncover hidden opportunities and drive real business impact. My journey in analytics has taught me that numbers tell the best stories and I'm pretty good at translating those stories into strategies. I've spent over 4 years in the data world, focused on helping e-commerce brands flourish globally.
π -18% Storage Costs
Optimized Amazon inventory using Python, cutting storage costs and speeding up deliveries.
π― 11% Customers Won Back
Designed churn reactivation strategies for a D2C nutrition brand using statistical analysis.
π 80+ Hours Saved
Automated SQL + Power BI dashboards to replace manual reporting.
π -45% BigQuery Costs
Engineered efficient dbt pipelines and incremental models to reduce data warehouse spend.
Over the last few years, Iβve worked with e-commerce retailers across the US, UK, Germany, South Africa, Australia, Spain, and India. My focus has been making data work smarter for growth and efficiency.
At Saras Analytics, I boosted profits by analyzing inventory data, won back churned customers with targeted strategies, and cut advertising costs by improving keyword targeting. Earlier, as a Business Analyst, I automated dashboards saving 80+ hours monthly, built dbt datasets that improved reliability, and reduced BigQuery storage costs by 45%.
I also spent time as a Research Intern at IIT Bombay, where I contributed to an e-learning project that increased course completion rates by 8% and learner satisfaction by 15%.
Iβm always excited to collaborate on projects where data meets business impact.
Feel free to reach out β whether itβs analytics, machine learning, or just geeking out about data storytelling!