In-depth case studies.

01 The Situation & Problem

Online retail brands investing heavily across Paid Social, Paid Search, and Organic channels frequently observe substantial aggregate traffic without knowing where genuine purchasing intent deteriorates. Standard Google Analytics dashboards provide high-level aggregates, but mask session-level transition failures between key funnel stages: from session_start to view_item, add_to_cart, begin_checkout, and final purchase. Without deterministic unnesting of raw event parameters, marketing leadership cannot determine whether low conversions stem from channel acquisition quality, product pricing, or platform-specific checkout friction.

02 BigQuery Data Architecture & Cost Optimization

Querying unpartitioned GA4 event tables across multiple months incurs severe computational overhead. I designed an analytical staging layer by partitioning tables on _PARTITIONDATE and clustering on event_name and traffic_source.medium. This reduced query byte scan volume by 65%, enabling rapid exploratory iterations.

03 Cohort Retention & Hypothesis Testing

Beyond the standard funnel conversion rates, I evaluated 30-day cohort retention differences between Organic Search and Paid Social users using Python (SciPy). A Chi-Square test for independence confirmed that the 28% higher retention rate observed for organic cohorts was statistically significant (p < 0.001), proving that paid social was acquiring low-intent, single-visit browsers.

04 Business Outcome & Decisions Triggered

• Checkout Bug Remediation: Uncovered a 14.2% drop-off specifically occurring on mobile Safari at Step 2 of the checkout flow, caused by an unhandled payment gateway script timeout.
• Reallocated Marketing Budget: Reallocated 20% of underperforming paid social spend toward high-intent organic search content and retargeting high-LTV cohorts.
• Interactive Executive Dashboard: Published a Looker Studio tracking dashboard connected to scheduled BigQuery views for weekly growth reviews.

01 The Agency Friction & Problem Statement

Running Creative Moonlight Studio with manual Google Sheets led to predictable breakdown points: scattered deadline notes across chat apps, out-of-sync payment milestone tracking, and accidental overwrites during concurrent client projects. Commercial cloud CRMs were either overly complicated enterprise bloat, suffered from recurring subscription fees, or required continuous high-speed internet. When working during travel or low-connectivity client visits, agency producers could not reliably access deliverable checklists or update deal status without risking sync collisions.

02 The Local-First Architecture & IPC Bridge

I built ClientVault Pro as an offline-first desktop application using Electron and React with an embedded SQLite database using WAL (Write-Ahead Logging) mode. Every keystroke is saved immediately to local disk, providing instant sub-10ms UI responses regardless of network conditions.

03 Operational Impact & Results

• Zero Missed Handoffs: Automated client asset checklist validation ensures no deliverable is marked complete until all production assets are archived.
• 4.5 Hours Saved Weekly: Weekly project status check-ins dropped from 6 hours to under 90 minutes.
• Complete Data Privacy: All client notes and contract financials stay strictly within the studio's local devices.

01 Fragmented Reporting & Operational Friction

At Iris Waves, the Managed Print Services (MPS) and IT asset distribution business unit relied on fragmented spreadsheets supplied by 5+ internal departments: warehouse logistics, accounts billing, regional service engineers, vendor dispatches, and inventory management. Compiling weekly executive management reviews required over 10 hours of manual data cleaning and suffered from recurring ~30% reporting discrepancy rates due to mismatched invoice serial numbers, duplicate line entries, and unaligned dispatch dates.

02 The Centralized Power BI Model & Validation Pipeline

I architected a standardized Star Schema dimensional data model in Power BI, connected to automated Python pre-validation scripts. The scripts scrubbed invoice inconsistencies, reconciled dispatches against serial numbers, and flagged exceptions before data loaded into the reporting model.

03 The 15% Revenue Recovery Finding

During a quarterly trend drill-down, the dashboard surfaced an unexpected 15% revenue decline isolated to a single product segment. Further investigation revealed a supplier delivery delay that account managers were compensating for with unapproved substitute concessions. Bringing this insight to executive leadership within 48 hours triggered a targeted procurement correction that reversed the revenue decline within two weeks.

04 1,300+ PC Distribution Logistics

Led real-time distribution telemetry for a nationwide 1,300+ PC deployment project. Monitored regional shipment milestones across transit hubs, resolved 40+ operational shipping exceptions with courier partners, and achieved a 98% on-time delivery benchmark.

01 The Churn Dilemma & Business Problem

At Ubixe Infotech, recurring revenue client accounts were managed with traditional reactive customer service. Account managers only discovered an account was dissatisfied when a formal cancellation ticket or non-renewal notice arrived. By that time, competitive alternatives were already signed, leaving retention win-back rates at under 4%.

Leadership needed an automated early warning framework across 2,000+ active client accounts that combined platform engagement telemetry, support ticket frequency, billing dispute logs, and contract tenure into an actionable churn risk score.

02 Predictive Modeling & Cluster Architecture

Rather than relying on a black-box model that account managers couldn't interpret, I deployed a hybrid analytical strategy:

• Supervised Probability Scoring: A Logistic Regression classifier trained with balanced class weights to predict the binary likelihood of cancellation within the subsequent 60-day window (ROC-AUC: 0.84).
• Unsupervised Behavioral Segmentation: A K-Means clustering algorithm (k=4, evaluated using elbow method and silhouette scores of 0.58) to divide users into meaningful personas: "Disengaged Enterprise", "Price-Sensitive High-Volume", "Support-Frustrated", and "Core Champions".

03 Business Decisions & Organizational Impact

• Cluster-Specific Playbooks: Instead of sending uncalibrated discounts, the "Support-Frustrated" cluster received direct outreach from senior engineering leads, while the "Disengaged Enterprise" cohort received free workflow audits.
• Incentive Alignment: Leadership transitioned account executive KPI bonuses from pure gross client acquisition to Net Revenue Retention (NRR), directly reducing high-churn customer intake.
• Automated Operational Cadence: Integrated the churn probability feed into weekly executive standups, saving over 20 hours per month in manual data gathering.

01 The Tax Filing Friction & Problem Statement

During annual Income Tax Return (ITR) filing cycles in India, Chartered Accountants (CAs) and corporate payroll desks must cross-reference multiple disparate PDF documents for each employee: employer Form 16 (Part A & Part B), the Income Tax Department's Form 26AS (Tax Credit Statement), and the comprehensive AIS (Annual Information Statement).

Because different employers and banks use varying table formats and digital signatures, manual cross-examination was taking 25 to 30 minutes per client. Minor timing mismatches in Tax Deducted at Source (TDS) or unreported dividend interest caused defective return notices under Section 139(9), resulting in rework penalties and client friction.

02 Deterministic Architecture & Anti-Hallucination Design

Rather than feeding sensitive financial tax forms to generative AI models that can hallucinate numbers or breach client data confidentiality, I engineered a 100% deterministic parsing microservice in FastAPI. The engine utilizes coordinate-based table boundary detection paired with anchored regular expressions for PAN, TAN, gross compensation, Chapter VI-A deductions, and quarterly TDS deposit entries.

03 Production Deployment & CA Firm Impact

• Batch Processing Capacity: Enabled boutique CA firms and payroll consultants to process 10x more individual returns during peak July filing weeks without onboarding temporary staff.
• Audit Readiness: Exported side-by-side reconciliation reports with page-number references for each figure, allowing human reviewers to verify flags in seconds.
• Zero Cloud Lock-in: Containerized as an isolated Docker package ready for on-premise deployment in security-conscious accounting offices.