Associate Analyst in Learning Admin & Data Engineering. I build automated pipelines, design robust database schemas, and bridge learning management with cutting-edge tech.
From backend systems to ML pipelines — I bring a full-stack perspective to every problem.
Multi-paradigm developer comfortable across the stack.
Building intelligent pipelines from raw data to insight.
Scalable cloud infrastructure and robust API design.
Strong fundamentals in algorithms, data structures and OS.
End-to-end learning administration and SLA management.
Professional communication and business tool proficiency.
Delivering measurable impact through data engineering and learning operations.
Real-world applications spanning ML, backend systems, and algorithmic problem-solving.
End-to-end ML pipeline covering ingestion, EDA, feature engineering, training, and evaluation using ensemble methods for financial pattern recognition.
RESTful backend with full CRUD operations for 5+ entity types. Optimized MySQL indexing and documented all API contracts via Postman collections.
Structured self-study repository covering Arrays, Linked Lists, Trees, Graphs, and Dynamic Programming — all solutions annotated with time/space complexity analysis.
Continuously learning and competing at the highest levels.
National-level coding competition by Coding Ninjas — competed among 10,000+ participants.
Certified by Udemy — advanced Python programming and scripting techniques.
Certified by Coursera — covering supervised, unsupervised learning and best practices.
Certified by Udemy — data wrangling, visualization, and analytical thinking.
Forage — completed real-world AWS & Deloitte cloud engineering simulations.
KIIT University — Computer Science & Engineering (currently pursuing).
I'm actively looking for opportunities in data engineering, ML, and learning technology. Let's talk!
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