PORTFOLIO

Projects and Selected Work

Selected work across implementation delivery, data platforms, integrations, and technical solution execution.

Client Delivery & Implementation Work

IMPLEMENTATION

Enterprise SaaS Migration and Workflow Design

Led technical discovery, requirements mapping, and workflow design for enterprise implementations and migration initiatives, aligning data onboarding, workflow structure, and delivery planning.

OUTCOME
Supported smoother production cutovers and stronger platform readiness through clearer workflow alignment and implementation planning.
PLATFORM DELIVERY

Client-Facing Platform Delivery and Solution Design

Owned client-facing implementation and delivery for a data-driven platform environment, translating stakeholder needs into onboarding plans, workflow structures, and coordinated execution with leadership and engineering teams.

OUTCOME
Improved implementation consistency and delivery alignment through stronger planning, stakeholder coordination, and execution.

Technical & Engineering Work

EVENT ARCHITECTURE

Trade Settlement Kafka

Built a Java-based event-driven workflow simulation that captures trade events, serializes them into XML messages, and routes them through Kafka for downstream processing.

JAVA KAFKA DOCKER
QUANTITATIVE MODELING

Credit Card Churn Prediction

Built a predictive analytics project to identify churn drivers and visualize customer attrition patterns using Python.

PYTHON PANDAS DATA VISUALIZATION
DATA ENGINEERING

High-Throughput ETL Pipeline

Designed automated ETL pipelines to ingest, standardize, and validate large datasets using Python and SQL, improving workflow efficiency and data reliability.

PYTHON SQL ETL PIPELINES
QUANTITATIVE MODELING

Stochastic System Modeling

Developed simulation-based models to study complex non-linear systems and probabilistic outcomes using Python and statistical methods.

PYTHON STATISTICS
QUANTITATIVE MODELING

Simulating a Pandemic

Built a Python-based stochastic simulation to model propagation dynamics over time and explore scenario-based system behavior.

PYTHON AGENT-BASED MODELING STOCHASTIC SIMULATION

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