Hi, I'm Sheetal Bajaj

Primary language for data pipelines, AI models, custom simulators, and automated mathematical logic.

Utilized for speed-critical systems programming, algorithm optimizations, and object-oriented architectures.

Applied for close-to-metal low-level memory allocation, operating system baselines, and execution tracing.

Formulating data-driven predictions, statistical tests, mathematical model scaling, and machine learning pipelines.

Data wrangling, cleansing operations, trend modeling, and rendering high-impact executive visualizations.

Building predictive models, feature engineering, model evaluation, andapplying supervised and unsupervised learning techniques to solve real-world problems.

Designing relational database systems, crafting complex JOIN queries, index optimization, and backend transactions.

Designing responsive, glassmorphic interfaces, routing pipelines, dashboard frontends, and dynamic DOM states.

Designing, testing, and integrating RESTful endpoints, CORS management, and WebSocket streaming protocols.

Applying tree structures, graphs, sorting heuristics, and hash tables to solve high-complexity puzzles.