- Created comparative pricing models using Python, Pandas & Seaborn across 50+ real estate builders.
- Uncovered 12 undervalued assets and improved pricing recommendations.
Experienced Data Analyst with a strong background in statistical modeling, data automation, and dashboard design. Skilled in Python, SQL, and Power BI to deliver business insights, forecast trends, and streamline decision-making processes for stakeholders.
Data Analyst specializing in automating reports, visualizing key metrics, and analyzing housing, finance, and customer data across diverse industries.
I’m a data-driven professional passionate about uncovering business insights through automation, visualization, and predictive analytics. With a strong foundation in Python, SQL, and Power BI, I specialize in streamlining data pipelines, forecasting trends, and delivering actionable reports to stakeholders across housing, finance, and marketing domains.
My goal is to bridge the gap between raw data and strategic decisions, helping organizations make smarter, faster, and more informed choices.
Proficient in data analytics, automation, and statistical modeling. Experienced in building dashboards, writing complex SQL queries, and using machine learning tools to extract actionable insights.
Raghavendra’s automation scripts significantly reduced our report generation time. His ability to blend technical skills with business logic helped us present clean, reliable housing data to key stakeholders.
Working with Raghavendra was seamless. His Power BI dashboards were not only visually insightful but also helped us gain deeper understanding of new home sales trends. Highly recommended.
Raghavendra’s data modeling and A/B test analysis led to a measurable 25% increase in user engagement. His insights transformed how we approached customer retention strategies.
Let’s connect and discuss how I can help your business grow through innovative solutions and reliable technical expertise.