Daraab Pathania

I’m a detail-oriented Data Analyst with hands-on experience turning raw data into clear, actionable insights for business and product teams. My background combines data analytics, automation, and applied AI, allowing me to support companies not just with analysis, but with smarter, more efficient workflows.

I have experience working with real-world datasets across marketing, product, and subscription-based businesses. My work includes exploratory data analysis (EDA), data cleaning, SQL-based querying, dashboard creation, and translating complex findings into practical recommendations for non-technical stakeholders. I’ve analyzed customer behavior, engagement metrics, A/B test results, and retention patterns to support data-driven decision-making.

In addition to analytics, I actively build and automate workflows using no-code and low-code tools. I’ve worked with tools such as n8n, Make.com, Airtable, Google Sheets, and APIs to automate data collection, reporting, and content workflows. I also have hands-on exposure to AI-powered solutions, including text classification, summarization, and sentiment analysis using open-source models and APIs. This allows me to help clients streamline repetitive tasks and integrate AI into everyday operations.

Technically, I’m comfortable working with Python (pandas, NumPy, basic ML workflows), SQL (joins, aggregations, transformations), and data visualization tools like Looker Studio and Tableau-style dashboards. I pay strong attention to data quality, clear documentation, and reproducibility.

What sets me apart is my ability to bridge the gap between business goals and technical execution. I don’t just deliver numbers, I explain why they matter and how to act on them. I’m reliable, communicative, and proactive, and I enjoy working with founders, startups, and remote teams that value clarity and results.

If you’re looking for someone who can analyze your data, automate your processes, and help you make smarter decisions with confidence, I’d be happy to help.