I analyze, visualize, and transform raw data into business intelligence.
I’m Appu Anand, a data analyst with a strong focus on bridging business goals and data-driven insights.I specialize in Power BI, Python, SQL, and Excel transforming raw data into powerful visual narratives and evidence based strategies.
My expertise lies in building interactive dashboards, uncovering performance drivers, and optimizing decision-making through analytics.I thrive on simplifying complexity, ensuring that every metric tells a story that matters.
Beyond analysis, I’m passionate about continuous learning exploring simulations, advanced visualizations, and emerging analytics tools to stay ahead in the evolving world of data intelligence.
Automated weekly RCA pipeline with row-level security and dashboards adopted by regional managers — improved planning speed and accuracy.
Developed Marketing ROI Dashboard in Power BI — tracks campaign performance, conversion efficiency, and profitability insights using real-world marketing data..
Built an ML pipeline and Streamlit ops dashboard; optimized thresholding to reduce false positives while maintaining high recall (92% precision).
RFM analysis used to segment a customer base for targeted marketing campaigns, significantly improving campaign ROI.
Behavioral segmentation and funnel analysis leading to targeted experiments that increased engagement metrics during pilots.
Exploratory Data Analysis and Dashboard design to track regional sales performance, inventory, and customer demographics.
Applied Python for advanced data wrangling, exploration, and insight generation.
Designed interactive dashboards and compelling visuals using Python libraries.
Built analytical models with pandas, matplotlib, and statistical methods to support decision-making.
Applied statistical concepts to analyze trends, correlations, and data distributions effectively.
Developed end-to-end analytical workflows integrating Excel, Power BI, and Python.
Crafted optimized SQL queries for managing and analyzing structured datasets.
Gained expertise in designing scalable, cloud-based data systems on Google Cloud.
Utilized prompt engineering techniques to enhance AI-driven data analysis and storytelling.
Utilized customer analytics and data preparation on transaction data to deliver commercial recommendations, benchmark stores for uplift testing, and generate strategic reports.
Applied AI-powered data analytics and GenAI tools to conduct EDA, propose a no-code predictive modeling framework for delinquency risk, and design an agentic AI collections strategy incorporating ethical AI principles.
Performed forensic data analysis and classification using Excel, culminating in the development of a Tableau dashboard to present business conclusions.
Developed data visuals and prepared executive meeting questions to support effective decision-making for Tata Consultancy Services.
Advised a social media client by cleaning, modeling, and analyzing 7 datasets to uncover content trends, presenting strategic insights via PowerPoint and video.