Outcomes built with data, design and discipline.

Challenge

The client struggled with visibility into tenant payment behavior and recurring late payments.

Solution

Built centralized reporting workflows and analytics dashboards for tracking payment performance.

Key Work

• Data cleaning
• Payment tracking dashboard
• Late payment analytics
• KPI reporting
• Predictive analysis
• Reporting automation

Tools

Results

• Improved payment visibility
• Faster overdue account identification
• Better reporting workflows
• Streamlined operations

Challenge

Raw timestamp data contained widespread sequence violations, making truck dwell-time analysis unreliable.

Solution

Developed custom correction logic to resolve AM/PM ambiguity and enforce chronological consistency across the dataset.

Key Work

• Built a modular Python data cleaning architecture
• Resolved AM/PM timestamp sequence violations
• Standardized multi-source survey data for analysis
• Validated time-series integrity across thousands of records
• Prepared analysis-ready datasets for dashboard reporting

Tools

Results

• Produced a clean, analysis-ready dataset from previously unusable raw data
• Enabled accurate truck dwell-time and turnaround reporting
• Delivered a reusable cleaning framework applicable to future survey cycles

Challenge

Raw environmental datasets were difficult to interpret and connect to actionable indicators.

Solution

Built a reproducible analytics workflow with feature analysis and predictive modeling.

Key Work

• Data preprocessing
• EDA
• Feature analysis
• Predictive modeling
• Data visualization

Tools

Results

• Better understanding of water quality indicators
• Predictive insights
• Improved interpretation of environmental datasets

Challenge

Limited access to fast, reliable symptom triage and clinical guidance in underserved communities.

Solution

Designed and deployed a full ML-driven diagnostic support system, from data pipeline to live clinical interface.

Key Work

• ML pipeline design and feature engineering
• Random Forest model training and evaluation
• REST API architecture and backend development
• Full-stack application development and deployment
• AI chatbot integration for symptom triage
• Secure authentication and data handling

Tools

Results

• Deployed a production ML model serving live predictions via API
• Built a doctor-access feature linking predictions to clinical follow-up
• Delivered a fully functional, deployed product end to end

Challenge

Inconsistent distributor naming from enumerators and timestamp irregularities made it difficult to reliably aggregate and filter planning data across regions.

Solution

Mapped mismatched distributor names back to master reference data and corrected timestamp inconsistencies, producing a clean dataset ready for regional and distributor-level filtering.

Key Work

• Cleaned and standardized 1,800+ daily planning records
• Resolved distributor name mismatches by mapping enumerator entries back to master data
• Corrected timestamp inconsistencies within the dataset
• Structured data for multi-dimensional filtering (zone, region, distributor, truck capacity, pack type)
• Built an interactive Power BI dashboard for operational visibility

Tools

Results

• Delivered a filterable dashboard covering zone, region, and distributor-level planning behavior
• Enabled visibility into sorting effectiveness, storage practices, and identification standards
• Standardized distributor identity across the dataset for reliable cross-region comparison

Challenge

Low registration conversion rates and fragmented audience tracking across key acquisition channels.

Solution

Deployed a structured multi-channel rollout plan paired with Meta pixel tracking and optimized direct-response messaging.

Key Work

• Content strategy & copy
• Event funnel planning
• Ad campaign execution
• Analytics & pixel tracking
• Performance reporting

Tools

Results

• Higher webinar registration rates
• Expanded audience reach
• Improved ad conversion efficiency
• Enhanced community participation

Challenge

High cost per lead, poor lead quality, and low booking conversion rates from cold ad traffic.

Solution

Built a multi-stage direct-response funnel featuring a targeted lead magnet, a high-converting landing page, and a short-form VSL with automated email nurtures.

Key Work

• Funnel architecture design
• Landing page optimization
• Direct-response copy
• Lead magnet creation
• Email sequence automation

Tools

Results

• Decreased Cost Per Lead (CPL)
• Higher qualified consultation bookings
• Increased landing page conversion rate
• Improved backend email ROI

Challenge

Slow response times and inconsistent follow-ups across channels.

Solution

Unified inbox patterns with response SLAs and tracked workflows.

Key Work

• Customer response workflows
• CRM organization
• Support process optimization
• Follow-up systems
• Inquiry tracking

Tools

Results

• Faster response times
• Improved support tracking
• Better customer experience
• Organized operations

Challenge

Dropped leads and no structured retention motion.

Solution

Implemented CRM pipelines, sequenced touchpoints, and ownership rules.

Key Work

• Lead follow-up systems
• CRM workflows
• Retention communication
• Customer interaction tracking

Tools

Results

• Better lead management
• Improved follow-up consistency
• Structured customer records
• Enhanced retention workflows