- Enterprise AI Forecasting Framework – Designed and deployed a centralized, modular AI/ML forecasting architecture to unify forecasting across Finance, Logistics, Procurement, and Sales, replacing fragmented, manual processes with a single source of truth.
- Accuracy & Predictive Depth – Achieved up to 80% forecast accuracy across freight costs, transport lead times, and sales, with <20% MAPE for daily and weekly bank balance forecasts—delivering reliable short- and long-term visibility across business functions.
- Operational Efficiency at Scale – Automated end-to-end forecasting pipelines, significantly reducing manual effort, minimizing human error, and enabling monthly forecast updates with minimal retraining overhead.
- Actionable Business Intelligence – Enabled finance, sales, and logistics teams with real-time, role-specific dashboards to support proactive cash flow management, inventory planning, shipment prioritization, and demand-led decision-making.
- Modularity, Scalability & Reuse – Implemented a reusable forecasting framework supporting both univariate and multivariate models, allowing rapid extension to new business use cases, profit centers, and data sources without architectural rework.
- Strategic Business Impact – Improved planning precision, strengthened cross-functional alignment, and established a scalable AI foundation to support ongoing digital transformation and enterprise-wide forecasting maturity.
Category: Data and AI
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Driving Intelligence Across a Leading German Automotive Manufacturer’s Operations with AI-Powered Forecasting
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Enabling Data-Driven Demand Planning with AI-Powered Momentum Volume Projection
- Unified Forecasting Framework – Developed an AI-powered Momentum Volume Projection model to centralize demand forecasting across all product categories and channels.
- Accuracy & Visibility – Achieved 5–10% forecast error (MAPE) with reliable projections across 1-, 3-, 6-, and 12-month horizons, enhancing business foresight.
- Operational Agility – Reduced manual forecasting efforts, improved inventory control, and accelerated planning cycles across residential, commercial, and smart access products.
- Data-Driven Decisioning – Enabled pricing, promotion, and sales teams with real-time dashboards for proactive, evidence-based actions.
- Scalability & Governance – Deployed a standardized, low-maintenance ML architecture ensuring consistency, model performance, and ease of extension to new product lines.
- Strategic Outcomes – Strengthened planning precision, improved financial alignment, and established a future-ready AI foundation for sustainable growth.
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8X More Flexible Assessments: Modernizing K-12 Evaluation with Scalable Architecture
- Modern Architecture Upgrade – Rebuilt the client’s flagship Instant Grading platform with a modern foundation, enhancing reliability, uptime, and adaptability to evolving classroom needs.
- Flexibility & Efficiency – Expanded assessment options from 9 to 75 per question, accelerated development cycles, and simplified onboarding for educators and developers alike.
- Strategic Outcomes – Delivered 8X more assessment flexibility, ensured smoother scaling to millions of students, and positioned the client as a global leader in next-generation K–12 evaluations
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Accelerated Bill Inspection MVP with Agentic AI in 2 Weeks
Agentic Delivery, Continuous Feedback, and Rapid Prototyping
AI-First MVP Development
- Built an Agentic AI-powered bill inspection MVP in just two weeks, integrating autonomous sprint execution with Jira automation.
- Leveraged context-aware Nest.js/Next.js agents for rapid code scaffolding, PR reviews, and AWS Amplify deployments.
- Spun up interactive UI/UX mockups in hours using v0.dev agents, enabling instant stakeholder feedback and design iteration.
Closed-Loop Model Refinement
- Created a seamless feedback loop between AI extraction and human review, instantly feeding corrections back to the model.
- Automated dataset creation to accelerate LLM improvement cycles and reduce manual intervention.
- Ensured continuous enhancement of structured data accuracy through iterative validation.
Strategic Outcomes
- Delivered a future-ready bill inspection platform with accelerated time-to-market.
- Reduced dependency on manual review while improving AI accuracy at scale.
- Enabled full adoption of AI-first development practices across the client’s engineering team.
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85% Faster Essay Evaluation: Automating Assessments for a Scalable EdTech Experience
AI-Powered Essay Evaluation, Consistent Grading, and Scalable Assessments
AI-Driven Automation
- Built an AI essay grading system with Generative AI models, integrated Grader and Trainer Dashboards, and a continuous feedback loop for improved accuracy.
Productivity & Standardization
- Cut grading time from 45 to under 5 minutes, eliminated bias with standardized rubrics, and ensured consistent scoring across millions of submissions.
Strategic Outcomes
- Scaled assessments without extra staff, improved accuracy and turnaround, and strengthened the client’s position as a leader in AI-powered EdTech.
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Modernizing an eDiscovery Platform for Enhanced Security, Usability, and Efficiency
Secure Access, Intelligent Workflows, and Scalable Architecture
Platform Modernization & Authentication Overhaul
- Abstracted and modularized legacy codebase to enhance maintainability and scalability.
- Integrated Cerberus FTP for secure, authenticated file transfers critical to legal workflows.
- Implemented centralized SSO using Auth0 with SAML and OIDC across Microsoft 365, Google Workspace, Okta, and AzureAD.
Productivity & Experience Transformation
- Introduced a smart filtering engine with 1,000+ dynamic filters to improve data accessibility.
- Embedded Pendo-based analytics to monitor user behavior and refine user journeys.
- Delivered consistent, fast, and secure access for users across platforms.
Strategic Outcomes
- Modernized the core platform to meet evolving legal tech demands.
- Elevated user experience through seamless login and powerful filtering.
- Enhanced operational agility and security for handling sensitive legal data at scale.
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AI‑Driven Churn Prediction Significantly Boosts Membership Retention Efforts
AI-Powered Retention, Real-Time Risk Detection, and Revenue Protection
AI-Driven Churn Prediction- Built a churn prediction model using supervised learning for real-time risk scoring.
- Combined behavioral, demographic, and macroeconomic data for accuracy.
- Enabled early identification of high-risk members to trigger timely outreach.
Customer Engagement & Efficiency
- Replaced manual churn forecasting with automated, data-driven insights.
- Focused retention efforts on high-risk users to maximize impact.
- Streamlined operations with precise, proactive interventions.
Strategic Outcomes
- Improved retention and protected recurring revenue.
- Shifted from reactive to predictive customer engagement.
- Scaled churn management across the membership base.