Kratika Jain
Analytics || Business Intelligence || @Amazon | Ex Ecomexpress
- Role
- Business Analyst at Amazon
- Location
- Bengaluru, KA, IN
- LinkedIn followers
- 500 followers
About Kratika Jain
Experienced Business Analyst | Aspiring Data ScientistWelcome to my LinkedIn profile! IHi, I’m Kratika Jain — a data enthusiast with a mathematics background who believes every dataset has a hidden story waiting to be uncovered.For me, data isn’t just numbers — it’s patterns, probabilities, and predictions. My math foundation helps me see structure where others see chaos, and my love for analytics pushes me to turn raw data into insights that fuel smarter business decisions.What excites me most is how AI and data science are transforming the way we think and work. From automation to personalization, AI feels like the future of problem-solving — and I’m eager to dive deeper into this space, learn continuously, and contribute to building meaningful, human-centered solutions. What defines me?A passion for data storytelling — turning math and models into clarity for decision-makers.A love for problem solving — bridging gaps between messy data and business strategy.A strong curiosity for AI & ML — exploring how algorithms can create real-world impact.A belief in collaboration & community — I’m always excited to connect with fellow data enthusiasts, innovators, and leaders.At the heart of it, I’m driven by one simple goal: to leverage my analytical mindset and technical skills to unlock new opportunities, spark growth, and create value through data.I’m always open to new opportunities, collaborations, and conversations with people who are as enthusiastic about data and AI as I am. Let\'s connect and explore how we can leverage data to unlock new opportunities and fuel business success. Happy to help!
Experience
Business Analyst
Nov 2022 — Present · Bengaluru, IN
Although my title was Business Analyst I, I was fortunate to work as a Business Intelligence Engineer I at Amazon FireTV and Appstore where I truly discovered my passion for solving problems through data. Coming from a non-engineering background, Amazon gave me the platform and mentorship to go deeper into tech, and I have loved every bit of that journey.Some of my favorite projects included: App Health Dashboard – Think of it as the “fitness tracker” for Amazon apps! I led the build of a dashboard that pulled data from multiple sources to monitor performance, stability, and fluidity. To power it, I designed scalable ETL pipelines (AWS Glue, Cradle, Redshift) crunching 10M+ daily engagement events. Dashboards that save time (and sanity!) – I created and automated 10+ QuickSight dashboards that cut business review prep time by 70%. Even better, I standardized 50+ WBR/QBR metrics across 4 platforms — no more endless debates on “whose numbers are right.” Teams started trusting the data again.🧩 Search Attribution Model – My personal favorite. Imagine solving a giant puzzle: connecting searches to purchases without seeing the full picture. I built a model for Fire TV & Tablets that hit 85% accuracy, showing that 40% of tablet orders start with a search. The kicker? It drove a 20% YoY jump in search-attributed revenue.Every project taught me something new — not just about SQL, Python, AWS Redshift, Glue, S3, or data modeling — but also about storytelling with data. For me, analytics is more than numbers: it’s about uncovering hidden patterns, asking the right questions, and enabling better decisions.
Education
South Asian University
Masters in Applied Mathematics, Applied Mathematics
2015 — 2017
Delhi University
Bachelor's degree, Mathematics Honors
2012 — 2015
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