Your own secure AI workforce, built on your own data.
Most SMEs pay for one expensive, generalist AI that knows nothing about their business. We're flipping that: a small, focused AI assistant for each department (HR, Accounts, Marketing, Sales, and Operations), each trained on your own business data.
How we build it:
The result is lower cost, higher accuracy, and an AI that actually understands how your business runs.
We're piloting this internally at Indigloo first. If you run an SME and want to see a department assistant in action, DM me. 🚀
🔗 indigloo.co (http://indigloo.co)
Developed an application designed to capture and analyze niche, long-tail conversational keywords frequently utilized within AI interfaces. Because traditional SEO tools often overlook conversational search intent phrases, this application maps and logs specific semantic variations into structured database layouts, enabling digital creators and businesses to optimize their content strategies for next-generation search behaviors.
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113
Designed and structured a comprehensive comparative matrix detailing the unique capabilities of leading large language models (ChatGPT, Gemini, and Claude). This asset translates complex technical model parameters—such as context capacities, automation layers, and native execution engines—into highly scannable, engaging visual documentation tailored for digital platforms and tech-focused audiences.
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82
Deep dive into full-stack WordPress optimization workflows, highlighting custom structural code implementation alongside flawless PageSpeed optimization metrics (100/100 performance).
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87
Live Look: Centralized Notion database tracking structured properties, category filters, and scannable technical documentation drops.
🧬 Merging Life & Data Science for Unique Insights
🧬 Merging Life & Data Science for Unique Insights
SQL data mart for a 1,000-patient hypertension trial, tracking enrolment, adverse events, dropout and event-free survival.
Highlights
Normalised schema: sites, treatment arms, patients, visits, adverse events, outcomes
SQL analytics for enrolment trends, adverse-event rates by arm, and dropout rates
Survival-style queries for event-free outcomes
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17
NLP tool that ranks candidates against a job description using skill overlap, education match, experience and semantic similarity.
Highlights
Extracts skills, education and years of experience from resumes
Gives each candidate a composite score using TF-IDF semantic similarity
Recruiter dashboard for shortlisting
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12
Executive Power BI dashboard covering 5 years of hotel data across cities, booking channels, managers and loyalty members.
Highlights
Revenue, net profit, ADR and RevPAR in one executive view
Manager benchmarking and booking-channel efficiency
Guest satisfaction and loyalty member analysis
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24
End-to-end system that turns CRM tables into dropout predictions, with a 0–100 risk score for every student and a retention dashboard.
Highlights
MySQL feature layer: engagement score, academic score, enrolment tenure
Random Forest model (ROC-AUC 0.74), with predictions written back to the database
Power BI dashboard with risk segments, course-level risk and a priority intervention list