I am a graduate student in Data Intelligence with a strong interest in data analytics and data engineering. I enjoy working with structured and unstructured data to uncover insights, improve processes, and support data-driven decision-making. I have hands-on experience with SQL, Python and data visualization tools through academic and project-based work, including data cleaning, exploratory analysis and building dashboards and pipelines. I am particularly interested in working on real-world datasets and translating business questions into actionable insights. I am currently seeking Data Analyst or Data Engineer internship opportunities where I can learn from experienced teams and contribute through analytical thinking and strong technical fundamentals. Check my LinkedIn profile:
@akanksha
Comprehensive SQL and Tableau analysis of California's EV market. Star schema database with advanced SQL queries (CTEs, window functions) and interactive dashboards analyzing 150K+ vehicle registrations.
My work focuses on creating interactive dashboards that tell compelling data stories across various domains including HR analytics, sales performance, and business operations. I believe that great visualizations don't just present data—they uncover insights, reveal patterns, and empower stakeholders to make informed decisions.
Analyzed racial bias and fairness trade-offs in the COMPAS criminal-risk assessment algorithm using statistical tests, and predictive modeling in Python.