Lipika R — Business Analyst
I approach data much like I approach a long run—as a space to explore, uncover patterns, and push boundaries with focus and persistence. With a strong foundation in Statistics, Mathematics, and Computer Science, I’ve built scalable data pipelines, predictive models, and analytics frameworks that turn complexity into actionable insights. At Xiaomi, my work reduced stockouts by 40%, cut fraudulent activations by 42%, and increased revenue in high-demand zones by 18%, enabling business teams to make informed, data-driven decisions at scale. Curiosity and a love for learning define how I tackle challenges. As a runner, traveler, and fast learner, I thrive on experimentation and iteration—whether exploring new datasets, developing machine learning models, or navigating uncharted paths in life. I enjoy learning new skills, uncovering patterns others might overlook, and blending creativity with analytical rigor to deliver solutions that are both innovative and practical.
Stackforce AI infers this person is a Data Engineering and Analytics professional in the Retail and Telecommunications sectors.
Location: Bengaluru, Karnataka, India
Experience: 3 yrs 4 mos
Skills
- Data Engineering
- Analytics
- Machine Learning
- Data Analysis
- Forecasting
Career Highlights
- Reduced stockouts by 40% through data analytics.
- Cut fraudulent activations by 42% with predictive modeling.
- Increased revenue by 18% in high-demand zones.
Work Experience
AccioJob
Data Science Statistics Instructor (1 yr 4 mos)
Xiaomi Technology
Data Engineering & Analytics (2 yrs 11 mos)
Data Engineer Intern (5 mos)
Amazon
Data (4 mos)
Data (5 mos)
Education
BSc at Osmania University
Intermediate at Loyola Academy, Hyderabad