I’m an aspiring Business Analyst / Data Analyst who enjoys working with data and finding insights that actually matter. Over time, I’ve built skills in SQL, Power BI, Excel, and Python, and I’ve applied them in projects around sales, supply chain, and customer behavior.
Coming from a medical background family, I also have exposure to healthcare operations and industry workflows, which gives me an edge in connecting analytics with real-world processes. Along with my technical skills, I bring business acumen that helps me link numbers to outcomes like revenue, margins, and customer growth.
- SQL – Writing queries that answer real business questions like sales trends and customer behavior.
- Power BI – Building dashboards that tell a story and highlight what decision-makers actually care about.
- Excel – My go-to for cleaning messy data and solving day-to-day analysis problems.
- Python – Useful for exploring data quickly when Excel and SQL reach their limits.
- Business Acumen – Linking data with revenue, margins, costs, and customer insights to make analysis practical.
- Healthcare Knowledge – Exposure to medical operations from my background, giving me industry-level understanding.
- Documentation – Writing BRDs and use cases in a way that both business and tech teams can follow easily.
📊 Dyson Sales Analysis (Power BI)
Compared online vs. offline sales, discounts, and margins — highlighting best performing regions and categories.
📦 Supply Chain Analytics (SQL & Excel)
Tracked delivery times, calculated lead time & costs, and suggested improvements for efficiency optimization.
🛒 RetailMart Business Analysis (SQL)
Analyzed 10k+ orders, performed RFM segmentation, and identified top customers & products.
👥 Customer Purchase Behavior (SQL)
Used SQL window functions to study frequent buyers and patterns, helping improve customer retention.
🏬 Sales Shop Performance (Power BI + python.csv)
Built interactive dashboards to monitor daily shop sales, profit margins, and category-wise performance.
☕ Coffee Sales Dashboard (Power BI + python.csv)
Analyzed coffee sales trends across multiple stores, identifying peak timings & top-selling products.
🍽️ Restaurant Insights (python.csv & Power BI)
Studied order frequency, popular cuisines, and customer preferences to support better menu planning.
- Generative AI Foundations – Microsoft & upGrad (2025)
- Data Analytics Certification – Coding Ninjas
- Project Management – SkillUp
** Home **
** Dinnig **
** Hospitality **
** Behavior **
** Review **
📧 Email: vk8130509325@gmail.com
🔗 LinkedIn: linkedin.com/in/manjeet-kumar-ashiyana
💻 GitHub: github.com/Manjeet634