I help businesses turn messy, unorganized data into clear insights and interactive dashboards that drive better decisions.
What I offer:
Using Python and Power BI, I clean and analyze raw datasets, identify trends and patterns, and build interactive dashboards that let you track key metrics, filter by date or category, and understand your business performance at a glance.
My process:
I start by thoroughly cleaning your data removing duplicates, fixing inconsistent formatting, handling missing values, and flagging anomalies. Next, I run exploratory data analysis to uncover trends, correlations, and patterns relevant to your business goals. Finally, I build a clean, interactive dashboard (Power BI or Python-based with Plotly/Dash) that translates the analysis into a visual tool your team can actually use.
Services include:
- Data cleaning and preparation
- Exploratory data analysis (EDA)
- Customer segmentation (RFM analysis, clustering)
- Sentiment analysis of customer reviews and feedback
- Interactive Power BI dashboards
- Python-based dashboards
- Written insight summaries with business recommendations
Why work with me:
I am a Business Data Analytics student with real internship experience at Excelerate and Elevvo Pathways, where I cleaned datasets, performed EDA, built relational data models, and created dashboards presented to senior management. I have completed independent projects analyzing customer reviews, marketing campaign performance, and retail trends combining technical analysis with a genuine understanding of what businesses need to make decisions.
I am certified through IBM, Google, and Meta's Data Analytics and Marketing programs, and I prioritize clear communication, realistic timelines, and deliverables that are actually usable not just technically correct.
If you have data sitting unused and want to understand what it's telling you, message me and let's discuss your project.