Anissa Meganing Mayang Rizkiana

I work with data to answer a simple question: what’s actually going on here? Currently focused on data analysis and research, I spend most of my time exploring datasets, writing SQL queries, and turning messy, imperfect data into insights that make sense. I’m especially interested in how user behavior is shaped by incentives — which led me to explore Web3 data and airdrop dynamics. In one of my recent projects, I analyzed how reward size relates to approval probability. The data was small and imperfect, but that’s exactly where the challenge (and the fun) is: finding patterns, questioning assumptions, and being honest about limitations. My approach is straightforward: - Don’t just report numbers — explain what they mean - Don’t chase complexity — focus on clarity - Don’t ignore context — data always has a story behind it Tools I use: SQL • Exploratory Data Analysis (EDA) • Data Cleaning • Basic Visualization Right now, I’m looking to grow as a Data Analyst — especially in roles where I can connect data with real business or product decisions. If you’re working on something related to user behavior, incentives, or data-driven decision making, I’d love to connect.