Sales ā Analytics | Business-first thinking
I combine 3+ years of sales experience with data analysis to uncover insights that improve business performance. Skilled in SQL, Python, and Power BI for solving real-world business problems.
Iām a Data Analyst transitioning from a sales background, bringing 3+ years of experience in revenue-driven roles. I focus on analyzing customer behavior, sales performance, and business trends to support data-driven decision making.
My strength lies in combining business understanding with analytical skills using SQL, Python, Power BI, and Tableau to uncover insights that directly impact growth and strategy.
Analyzed sales data and automated reporting workflows.
Built dashboards and generated business insights.
Problem: Ride-hailing platforms struggle to align driver supply with fluctuating demand, leading to missed revenue and poor customer experience.
Insight: Demand follows a bimodal pattern (6ā9 AM, 4ā8 PM) with extended spikes on Fridays, while pickup density is heavily concentrated in central NYC.
Impact: Proposed pre-peak driver allocation, zone-based redistribution, and surge strategies to improve fulfillment and revenue efficiency.
Problem: Analyze content trends and viewer preferences.
Insight: Found dominant genres and release trends across regions.
Impact: Highlighted opportunities for content strategy alignment.
Problem: Understand sales performance, customer behavior, and operational trends from transactional retail data to support better business decisions.
Insight: Identified high-performing product categories, peak sales periods, and a concentration of revenue among a small segment of customers.
Impact: Enabled data-driven decisions for inventory planning, customer targeting, and optimizing operations based on peak sales timings.
Open to data analyst roles, freelance projects, and collaborations. Feel free to reach out.