Open to opportunities

Mishika Bhandari

@mishikabhandari

Aspiring Data Analyst skilled in SQL, Python, and Power BI, turning raw data into decision-ready dashboards and insights.

India

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What I'm looking for

I’m looking for an entry-level Data Analyst / Business Analyst role where I can apply SQL, Python, and Power BI to deliver KPI reporting, interactive dashboards, and decision-ready insights that support real business outcomes.

I’m an aspiring Data Analyst pursuing a B.Tech in Computer Science and building hands-on, end-to-end analysis workflows—from data cleaning and EDA to visualization and dashboard development. I translate raw data into clear, decision-ready insights for business stakeholders using SQL, Python, and Power BI.

Through my project experience, I’ve queried 100,000+ sales records and built an interactive Power BI dashboard with DAX measures and Power Query transformations. I also analyzed 4,000+ survey responses to uncover flavor preferences and demographic trends, documented the full SQL → Python → Power BI pipeline, and focused on reproducible, data-driven storytelling. I’m seeking an entry-level Data Analyst / Business Analyst role to apply my analytical and reporting skills in a real-world business environment.

Experience

Work history, roles, and key accomplishments

Great American Coffee Taste Test

Great American Coffee

Extracted and analyzed 4,000+ coffee-tasting survey responses with SQL to uncover flavor preferences and demographic trends. Performed EDA and visualization in Python (Matplotlib, Seaborn) and built an interactive Power BI dashboard with DAX-driven KPIs and Power Query transformations.

SQL Python Matplotlib SeaBorn Power BI DAX Power Query EDA Data Visualization Data Storytelling Excel Git GitHub

Amazon Sales Analysis Dashboard

Amazon

Queried and analyzed 100,000+ sales records using SQL (joins, CTEs, window functions) to identify sales trends and customer purchasing patterns. Built an interactive Power BI dashboard using DAX measures and Power Query transformations, using Python for dataset cleaning and EDA to support inventory planning and marketing prioritization.