Turning Data into Stories – and Stories into Solutions
I’m a detail-oriented and curious analytics enthusiast with practical experience in business intelligence, data analysis, data visualization, and foundational data science.
My project work ranges from real-world business reporting to developing a machine learning-based book recommendation system. I’ve built dashboards in Excel and Power BI, analyzed large datasets with SQL and Excel, and explored Python and machine learning through hands-on projects.
I’m passionate about transforming raw data into actionable insights, communicating results through compelling visuals and stories, and continuously learning new tools and techniques in analytics and data science.
With an open and adaptable mindset, I’m excited about opportunities across analytics, business intelligence, research, and data-driven product roles.
Turning Data into Decisions with Analytical Precision
Analyzing sales, trends, and customer behavior to deliver insights that drive business strategy. Skilled at identifying patterns, opportunities, and actionable recommendations.
Preparing, cleaning, and transforming raw data using ETL tools, Power Query, and Python (Pandas, NumPy) for reliable and efficient analysis.
Building interactive dashboards in Power BI, Tableau, and Excel to turn data into clear, visually compelling reports for decision-makers.
Presenting findings with clarity using advanced charts, storytelling, and PowerPoint—helping both technical and non-technical audiences understand complex information.
Investigating business questions, conducting exploratory analysis, and using critical thinking to solve problems and support key decisions.
Exploring practical applications of machine learning—such as designing a book recommendation system—to solve real-world challenges.
Explore my work—projects, achievements, and credentials.
A personalized book recommendation web app using collaborative filtering and popularity metrics. Built with Python, Flask, and scikit-learn, it analyzes user preferences and book popularity to deliver smart, relevant suggestions.
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Interactive dashboard analyzing global streaming data (1930–2023): spot top artists, trends, and musical patterns over time. Built in Power BI, perfect for visual data exploration.
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Built and analyzed a custom database of 37 books and 13 authors. Used advanced SQL queries and Excel dashboards to uncover trends in genres, authorship, and book popularity.
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48-month sales analysis dashboard built in Excel. Features clean metrics, trends by country and coffee type, and actionable insights for sales teams and managers.
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Performed in-depth music sales analytics using SQL on PostgreSQL. Identified best customers, top genres, and artists to drive targeted marketing and performance insights.
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Achieved SQL Gold Badge for strong performance in SQL challenges from HackerRank.
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IBM & Coursera, Jun 2024
Foundational Excel skills for data analysis, including formulas, charts, and pivot tables.
Trainity, May 2025
Completed 8-week intensive training covering SQL, Excel, dashboarding, and project work.
Trainity, Mar 2025
Completed a live project analyzing user data of a social media platform.
From insights to action—building, analyzing, and growing
Projects Done
Tools Used
Certifications
Learning Hours
Curious about my work or want to collaborate? Let’s chat!
Noida, Uttar Pradesh
+91 9675643382
manviahuja1212@gmail.com
