3. Data, Science & AI

Solves linear programming problems for resource allocation, scheduling, and optimization in business and engineering contexts.

Manages unified customer data across touchpoints and activates targeted audiences for marketing campaigns.

Analyzes learner data from LMS, assessments, and engagement metrics to identify patterns and guide instructional improvements.

Performs statistical regression analysis and builds predictive models for data-driven insights and forecasting.

Fuses BM25 keyword matching with dense vector search for enhanced RAG retrieval accuracy in AI pipelines.

Provides counterfactual explanations, anchors, and trust scores for AI model interpretability and transparency.

Expert implementation of EKF/UKF for multi-sensor fusion, configuring robot_localization to fuse IMU, GPS, and visual data for robust localization.

Executes LAMMPS molecular dynamics simulations for nanoscale systems with force field configuration and management.

Analyzes X-ray diffraction data for crystal structure, phase identification, and crystallite size in nanomaterials using computational methods.

Calculates process capability indices (Cp, Cpk, Pp, Ppk) to assess manufacturing process compliance with specifications.

Formulates optimization problems as Quadratic Unconstrained Binary Optimization (QUBO) models for efficient solution in quantum and classical computing applications.

Calculates process equipment sizing using established engineering correlations and industry standards for chemical or mechanical systems.

Fits statistical distributions to input data for simulation and analytical modeling tasks.

Analyzes event logs to discover business processes, verify conformance to models, and identify optimization opportunities.

Sets up Guardrails AI for input/output validation, safety checks, and structured output enforcement in LLM applications.

Plans and analyzes factorial and response surface experiments using statistical methods to optimize experimental outcomes.

Computes robot kinematics (forward and inverse) and dynamics for robotic system modeling and control.

Provides computational design and analysis for composite aerospace structures using physics-based modeling and simulation.

Predicts small molecule binding to protein targets using molecular docking for virtual screening in drug discovery.

Executes Jupyter notebooks programmatically and extracts output data for data analysis and automation workflows.

Enables atomistic molecular dynamics simulations with force field configuration and large-scale parallel computing for scientific research.

Analyzes human body measurement data to optimize workstation design for ergonomics and user accommodation.

Provides database interface for accessing construction cost data including unit costs, productivity metrics, and regional adjustments.

Predicts nanomaterial properties using machine learning to accelerate materials discovery and development.