Featured Projects
Explore our best work across industries — data engineering, analytics, and AI solutions that deliver measurable results.
Social Media ETL Pipeline
The client was manually exporting data from 5+ social media platforms (YouTube, Facebook, Instagram, TikTok) weekly, leading to inconsistent reporting and 8+ hours of analyst time wasted on data collection instead of insights.
Gifting Platform Data Warehouse
A fast-growing corporate gifting platform had data scattered across their operational database, Snowflake historical data, and third-party APIs. Executive team lacked visibility into key business metrics and couldn't access insights without engineering support.
RFM Customer Segmentation Dashboard
The marketing team was sending the same email campaigns to all 693 customers with no personalization. They had no visibility into who their best customers were, who was at risk of churning, or how to prioritize retention efforts.
Seasonality-Aware DTC Performance Analytics
The brand was running paid ads across Shopify, Meta, Google, and Amazon but had no unified view of performance. Manual reporting took 2+ days monthly, and they couldn't account for seasonality when evaluating ROAS.
Autonomous AI Voice Concierge & Inbound Scheduling Agent
Front-desk staff across 14 clinic locations were missing 38% of inbound patient calls during peak hours and after-hours, leading to lost appointment bookings and poor patient satisfaction. Staff spent over 3 hours daily handling repetitive FAQs, cancellations, and basic rescheduling requests.
Outbound AI Voice Agent for Lead Qualification & Follow-ups
The sales and renewals team was spending 65% of their day dialing outbound leads who were unreachable, not interested, or unqualified. With over 5,000 pending renewal notices and lead follow-ups monthly, human agents could only cover 30% of the contact list.
Autonomous Lead Generation & AI Pipeline
A premier B2B marketplace needed a scalable way to acquire new business listings. Manual outbound pipelines were hindered by proxy blocking (bot detection), data decay (invalid info), and the sheer human cost of replying to hundreds of unqualified prospects.
AI Auto-Blogging with Notion & GitHub Actions
Publishing 5+ blog posts a week required a full-time copywriter, incurring costs of over $200 per piece. The editorial process was siloed, and formatting/uploading to the CMS manually took hours.
WordPress to YouTube Shorts Automation
The client published 4-6 blog posts weekly but had zero video presence. Creating YouTube Shorts manually required a videographer, editor, and scriptwriter — costing $150/video and taking 3-5 days per asset. At scale, this was financially impossible.
Dialpad AI Customer Service Analytics
Customer service managers were manually reviewing call recordings to understand common issues, agent performance, and customer sentiment. This was time-consuming, inconsistent, and couldn't scale with growing call volume.
Hospital KPI Executive Dashboard
Hospital executives had no real-time visibility into key operational metrics. Monthly reports were delayed, making it impossible to respond quickly to capacity issues, long wait times, or declining patient satisfaction.
School Network Performance Dashboard
The school network had no unified view of key performance metrics across locations. District managers couldn't compare school performance, identify underperforming locations, or track the metrics that contribute to overall company goals.
Contact Center Performance Dashboard
Contact center management had limited visibility into agent performance, call handling times, and customer satisfaction. Reports were generated manually and couldn't identify which agents needed coaching or which call types were causing bottlenecks.
Zakat Foundation Global Impact Dashboard
The foundation needed to communicate their global impact to donors but had no way to visualize where donations were coming from, how funds were being distributed, and the growing need for support across regions.
Law Firm Executive Dashboard
Law firm partners had no real-time visibility into case pipeline, settlement progress, or potential revenue. Case stagnation was a major issue, with matters sitting idle for 90+ days without anyone noticing.
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