Haveela Gadde

About Haveela Gadde

I am currently working as a Data Analyst at EY (Ernst & Young), where I apply data-driven approaches to solve business problems and deliver actionable insights.I am a Data Science postgraduate with a strong foundation in data analytics, machine learning, and Generative AI, focused on transforming raw data into meaningful, decision-driven outcomes. My work involves handling real-world datasets, performing analysis, and contributing to data-informed decision-making.My expertise includes building end-to-end data solutions, covering data preprocessing, feature engineering, predictive modeling, and evaluation. I have hands-on experience developing Retrieval-Augmented Generation (RAG) systems, semantic search pipelines, and intelligent data applications, enabling efficient and context-aware information retrieval.A key highlight of my journey was my experience as a Project Trainee at ISRO, where I worked with scientific datasets from the Soft X-ray Scanning Monitor (SSM). This strengthened my ability to work with complex data, apply analytical rigor, and solve high-impact problems in research-driven environments.Technically, I work extensively with Python, AI-assisted development and data visualization tools to build scalable and efficient solutions. I enjoy solving ambiguous problems, uncovering patterns, and delivering insights that create measurable value.I am passionate about leveraging data and AI to solve complex problems and drive meaningful impact, and I remain open to collaborations and high-impact opportunities in this space.

Experience

1. Data Analyst

   EY

   Dec 2025 — Present · Hyderabad, IN

   Deliver data-driven insights through financial and revenue analysis for state government entities (APSBCL and the Prohibition & Excise Department), supporting high-impact decision-making.• Evaluate tax structures, excise frameworks, and pricing strategies to assess their influence on revenue performance and policy outcomes.• Identify trends, anomalies, and optimization opportunities by analyzing large-scale structured datasets, improving revenue visibility and efficiency.• Collaborate with stakeholders to support policy formulation and strategic initiatives through analytical reporting and insights.• Design and develop AI-assisted dashboards and analytical applications using LLMs, enabling intelligent data exploration and automated insight generation.• Translate complex analytical findings into clear, actionable recommendations for business and policy stakeholders.

Education

• ZPHS Poranki

  10th Class

• MARIS STELLA COLLEGE

  Intermediate, Mathematics, Economics and Commerce

• Chanakya University

  Master of Science - MS, Data Science

• Krishna University, Machhlipattanam

  B.Sc, Mathematics, Statistics and Computer Science