Transforming raw data into actionable insights for smarter business decisions
Learn more about my journey and expertise
I'm a passionate Data Analyst with hands-on experience transforming raw business data into clear, actionable insights. Currently working as an MIS Executive at Smile Foundation, I specialize in building interactive Power BI dashboards that reduced report generation time by 0%, automating SQL-based ETL pipelines that cut data delivery time by 0%, and delivering compelling KPI reports that drive strategic decision-making.
With expertise in Power BI, DAX, SQL, Python, Excel, Tableau, and Looker Studio, I'm dedicated to solving real-world business challenges through data exploration, visualization, and intelligent automation. My goal is to turn complex datasets into intuitive dashboards that tell a story and empower teams to make data-driven decisions.
I'm a problem solver at heart who believes that great data analysis goes beyond numbers โ it's about understanding the business context and delivering insights that actually matter.
A quick overview of my profile, tools, and expertise
Power BI
Excel
DAXMy academic background and qualifications
My career journey and professional accomplishments
Professional certifications and recognized accomplishments
A selection of my recent work and achievements
Analyzed mobile sales data using Excel and Power BI to track sales trends, city and brand wise performance.
Built a Power BI dashboard to analyze credit card transactions, customer segments, and revenue distribution.
Developed a Power BI dashboard to analyze e-commerce sales, profit, returns, and product performance.
Created a dashboard to analyze regional sales, product categories, payment modes, and growth trends.
Designed a Power BI dashboard to analyze ride bookings, cancellations, payment methods, and customer behavior.
Built an interactive Power BI dashboard analyzing Blinkit sales, item type revenue, outlet establishment trends, and outlet size or location performance.
Designed an HR analytics dashboard to track employee attrition by age, education, salary, job role, and gender, across departments.
Created a sales dashboard analyzing quantity, profit, and amount by state, category, payment mode, and month to uncover key sales trends.
Analyzed Zomato sales data using Python to identify order trends, customer behavior, and revenue patterns.
I'm always looking to improve. For any suggestions, feedback or questions, kindly get in touch ๐๐
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