I'm Anjali Hansda

A Data Analyst

About me

Hi there! I'm Anjali Hansda, a naturally methodical and observant person with passion for personal knowledge, unraveling patterns that can lead to innovation. My journey into data analytics began when I realized the power the data holds and the various ways I can wield it as a data analyst. The ability to draw conclusions backed by evidence and solve problems through investigating the data sparked the passion that continues to grow.

I am deeply passionate about the opportunities data creates for solving real-world problems. I have honed my skill in EDA, Statistical Analysis and Data Visualization using advance excel techniques, SQL, Python and Power BI. Translating findings into actionable insights for stakeholders is where I find the greatest reward.

Feel free to browse through my portfolio and reach out if you’re looking for a data enthusiast who’s ready to tackle challenges and craft innovative solutions.

Projects

E-Commerce Market Expansion Analytics

Conducted business performance analysis for an online retail store using SQL for customer segmentation and Tableau for visualizing sales metrics, monthly retention, and seasonal trends, informing a strategic expansion plan.

Customer Analytics & Uplift Testing

Analyzed customer segments for a B&M retail store using Python to identify high-value groups, visualized insights, and recommended optimized store layouts, boosting sales and footfall for strategic rollout across all stores.

Business Performance Analysis

Developed an interactive Business Performance Dashboard for an online retailer, enabling dynamic analysis of sales, profit, and orders with YoY insights and intuitive drill-downs.

Funnel Analysis Dashboard

Designed an interactive funnel analysis dashboard for a ride-sharing platform to track user conversion from app download to review, driving data-informed product and growth strategies.

Cohort Analysis

Performed cohort analysis to boost retention & revenue via SQL insights on customer retention, revenue retention, & CLV by product category, with actionable strategies for high-value categories.

Car Resale Price Prediction

Developed a ML model to predict car resale prices based on specifications and age. Conducted EDA and data preprocessing to prepare the dataset for training, followed by deploying the model for practical use.

Certificates

Find course and job simulation certificates here.

Get in touch

For inquiries, feedback or potential collaborations, don’t hesitate to get in touch!