Geetika Naidu

I am a results-driven Data Analyst with hands-on experience in Python, SQL, Power BI, Tableau, and end-to-end analytics pipelines. I translate complex datasets into actionable insights that influence product and operational decisions.

At Geddit I analyzed over 1,500 customer chat logs, built automated Excel dashboards, and collaborated with product and engineering teams to reduce repeat queries and speed issue resolution. I present concise findings to senior leadership to drive customer-experience improvements.

I build AI-integrated, real-time analytics systems—using Kafka, Redis Streams, LangChain, and OpenAI APIs—for automated root-cause analysis and executive reporting. My projects include autonomous BI agents, prompt-to-code platforms, and multi-factor sales forecasting with NLP-enhanced accuracy.

I combine data engineering (Spark, Airflow, Delta Lake), machine learning, and visualization to deliver scalable solutions and faster decision-making. I seek roles where I can apply real-time inference, ML pipelines, and strong data storytelling to deliver measurable business outcomes.