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👋 Hello, I’m Ankita — Data Analyst & Data Quality Specialist
I specialize in transforming raw data into actionable insights using SQL, Python, and visualization tools like Tableau and Power BI. With a strong background in data validation and annotation, I focus on ensuring accuracy while uncovering meaningful patterns.
📊 I’ve worked on:
• Sales dashboards & forecasting
• Customer segmentation (K-Means)
• SQL-based analytics projects
• Interactive Tableau dashboards
• Data annotation & quality validation
💡 I’m passionate about:
Turning complex data into clear, business-focused insights that support better decision-making.
🚀 Currently open to:
Freelance opportunities in data analysis, dashboard creation, data cleaning, and annotation.
Let’s connect if you’re looking to make your data more powerful and insightful!
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
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I’ve been focusing on building strong foundations in data analysis by working on real-world datasets and end-to-end projects.
My work typically involves:
Cleaning and transforming raw data (Python / Excel / Power Query)
Writing SQL queries to extract meaningful insights
Building dashboards in Tableau & Power BI
Identifying key metrics and business KPIs
💡 I’m especially interested in solving problems like:
Understanding sales and profit trends
Analyzing customer behavior
Finding root causes of losses or high returns
Measuring campaign and performance impact
Instead of just creating dashboards, my focus is on:
👉 turning data into clear, actionable insights
Currently working on multiple datasets to improve:
Data storytelling
Dashboard design
Business understanding
I’m open to feedback, collaboration, and entry-level opportunities in data analysis.
If you’re working on something similar or have suggestions, I’d love to connect 🤝
I conducted web research to collect publicly available company information and organized it into a structured spreadsheet.
The data includes company names, websites, email contacts, and locations.
This project demonstrates my ability to gather accurate information, verify sources, and present data in a clean and organized format.
Structuring web research into a clean spreadsheet with verified sources is more work than it looks — the accuracy check step is what separates useful data from noisy data. Company name, website, email and location is a solid base structure too. Do you usually work with a specific industry or take on any niche?
📊 Sales Performance Analytics Dashboard (Power BI)
This Power BI dashboard was developed as part of a technical case study to demonstrate a business‑first approach to performance analytics.
The report is designed to support both executive‑level decision‑making and operational sales management by focusing on:
Revenue performance tracking
Key performance drivers (Orders & Average Order Value)
Team‑level performance monitoring
Individual agent insights
Data quality validation and exception handling
🔎 Key Functional Areas
Executive Overview
Provides a high‑level summary of Net Revenue and its primary drivers, supported by a monthly trend and rolling average to identify emerging performance patterns and reduce short‑term volatility.
Performance Diagnostics (Region × Time)
Enables root‑cause analysis by highlighting when and where performance changes occurred across regions and time periods.
Sales Team Monitoring
Supports day‑to‑day management through ranked team performance metrics, enabling prioritization of coaching or follow‑up actions.
Agent‑Level Analysis
Offers a focused performance view per individual contributor, including category mix and territory‑level revenue drivers.
Data Quality Monitoring
Separates adjustments (e.g. returns, discounts) from gross performance to prevent misleading KPI interpretation.
💼 Business Value
Designed to:
Monitor operational performance
Identify revenue drivers behind month‑over‑month changes
Detect under‑ or over‑performing teams
Support targeted coaching
Enable fast, data‑driven decision‑making
🛠 Tools & Concepts Used
Power BI
Data Modeling (Fact / Dimension)
KPI Design
MoM Analysis
Driver‑Based Revenue Monitoring
AOV Tracking
Data Quality Checks
Great job
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