• 🛍️ Supported analysis of user needs and friction points across the e-commerce journey, from product discovery to checkout.
• 📝 Helped document product requirements, user stories, and feature ideas while coordinating implementation details with design and development teams.
• 📊 Reviewed product views, add-to-cart rates, checkout completion, and user feedback to identify shopping experience improvements.

• 🔍 Worked with business and product teams to understand requirements, document processes, and translate business needs into actionable team tasks.
• 📈 Analyzed operational data using Excel and SQL, tracking order volume, conversion rates, and turnaround time to identify trends and recurring issues.
• 📑 Prepared recurring reports and dashboards to reduce manual reporting effort and improve weekly business update turnaround.

• 🧹 Prepared datasets using Python and pandas, addressing missing values, duplicates, outliers, and basic feature engineering.
• 🧠 Trained and compared classification and regression models using scikit-learn and metrics such as precision, recall, F1-score, and RMSE.
• 📋 Documented experiments and model results while identifying opportunities to improve data quality and model performance.

• ⚙️ Assisted in developing and testing Python backend APIs, including request handling, validation, and basic CRUD operations.
• 🗄️ Worked with databases to store, retrieve, and update application data while helping troubleshoot common API and database issues.
• 🧪 Tested API endpoints, fixed bugs, and documented implementation details in coordination with the development team.

• 🧹 Cleaned and explored datasets using Python, pandas, and NumPy to assess data quality, distributions, and emerging patterns.
• 📊 Performed exploratory data analysis and created visualizations with Matplotlib and Seaborn to communicate findings.
• 🔬 Assisted with feature preparation and machine learning experiments, comparing model results using appropriate evaluation metrics and documenting findings.

Digital Transformation Program

📅 2026   🌐 Enterprise

Objective: Transform the digital banking journey and improve customer experience.

⚡ Project Work

• 🧭 Mapped onboarding, authentication, payments & support journeys.
• 🗂️ Defined transformation workstreams, milestones & ownership.
• 📊 Established adoption, transaction & onboarding KPIs.

🔑 Core Areas

Digital Transformation Process Mapping Program Planning KPI Management Stakeholder Coordination

Cloud Transformation Project

📅 2026   🌐 Enterprise

Objective: Plan and coordinate a phased migration of enterprise applications, data & infrastructure.

⚡ Project Work

• 🗺️ Created scope, milestones, dependencies & migration phases.
• 📋 Built trackers for tasks, risks, issues & delivery status.
• 🛡️ Developed communication plan & enterprise risk register.

🔑 Core Areas

Cloud Migration Project Planning Risk Management Dependency Tracking Business Continuity

AI Implementation Program

📅 2026   🤖 GenAI

Objective: Build a structured framework for enterprise GenAI adoption and implementation.

⚡ Project Work

• 🔎 Evaluated & prioritized GenAI use cases.
• 🚀 Designed pilot → testing → training → rollout roadmap.
• 🛡️ Established AI governance for privacy, security & responsible AI.

🔑 Core Areas

GenAI Strategy AI Governance Use-Case Prioritization Implementation Roadmap Change Adoption

Multi-Country Rollout Program

📅 2026   🌐 Global

Objective: Plan a multi-country ERP implementation from requirements through go-live.

⚡ Project Work

• 🗓️ Designed phased rollout across requirements, migration, testing & training.
• 🤝 Coordinated country-specific requirements & dependencies.
• ✅ Built go-live readiness framework covering UAT, training & support.

🔑 Core Areas

ERP Implementation Global Rollout UAT Change Management Go-Live Planning