Analytics & Data
Turn data into insights. I build dashboards, ETL pipelines, and analytics workflows using Python, SQL, Pandas, and Streamlit to drive informed decision-making for SaaS and operations teams.
Overview
Data is useless without interpretation. I build lightweight data infrastructure and dashboards that help businesses track KPIs and make decisions. From cleaning messy CSVs with Pandas to querying complex PostgreSQL databases and visualizing trends, I turn raw data into actionable business intelligence.
Ideal For
- Operations teams drowning in spreadsheets
- SaaS founders without an in-house data analyst
- Supply chain and warehouse teams needing live KPIs
- Agencies building analytics deliverables for clients
What's Included
- SQL Query Optimization
- Data Cleaning & Transformation (ETL)
- Dashboard Creation (Streamlit, Tableau, Metabase)
- Business Intelligence Reporting
Benefits
- Data-backed decision making
- Automated reporting workflows
- Clear visibility into business health
What You Get
- 1A live dashboard your team uses daily, not just the day it ships
- 2ETL pipelines that run on schedule without manual intervention
- 3Documented data definitions so "active user" means the same thing across the team
- 4Decision frameworks linking metrics to actions, not just charts
Process
Ingest
Gathering data from APIs, DBs, or spreadsheets.
Process
Cleaning and structuring data using Python/Pandas.
Analyze
Running statistical analysis to find trends.
Visualize
Presenting findings in clear, interactive dashboards.
Tooling & Stack
Common Questions
Do you only build Streamlit dashboards?
No — Streamlit is great for internal tools, but I also build production dashboards in Tableau, Metabase, and custom React when the audience justifies it. The right tool depends on who is using the dashboard and how often.
Can you work with our existing data warehouse?
Yes. I have worked with PostgreSQL, BigQuery, Snowflake, and various MySQL-based stacks. I do not push you to migrate — I work with what you already have unless there is a clear business case to switch.
What is the smallest engagement you take on?
A single dashboard build typically runs 1 to 2 weeks. Full ETL + dashboard + documentation engagements run 4 to 8 weeks depending on data complexity.
