Summary
Karnika Sharma is a Senior Data Analyst based in Bengaluru with over a decade of experience in data, analytics and BI engineering across banking and enterprise environments. She blends hands-on data engineering (ETL, PL/SQL, SSIS) and platform administration (SAS, Hadoop/CDH, Splunk) with analytics and predictive modeling—having built logistic regression models and led exploratory analyses to surface hidden patterns for business decisions. As a proxy product owner and BI production lead she bridges stakeholders and squads to prioritize backlogs, demonstrate sprint outcomes, and drive service improvement and automation. Her background includes operationalizing monitoring and restart automation for critical platforms and enabling proactive observability for BI applications, a detail that underscores her focus on reliability as well as insight. With postgraduate training in data science and an engineering degree in computer science, she brings both rigorous academic grounding and practical, production-first delivery to complex data problems.
7 years of coding experience
7 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science, 76%, Bachelor of Technology - BTech, Computer Science, 76% at RADHA GOVIND ENGINEERING COLLEGE, MEERUT
Intermediate, Science, 82%, Intermediate, Science, 82% at Dewan Public School, Meerut
Postgraduate Degree, Data Science, 3.49/4.00, Postgraduate Degree, Data Science, 3.49/4.00 at International Institute of Information Technology Bangalore
Master's degree, Science, A, Master's degree, Science, A at Liverpool John Moores University