Founder, Linfy Tech Solutions — Data Analytics | Cybersecurity | Web Development

Turning Wildlife Data into Impact with AI and Analytics

I help conservation organisations and small businesses transform raw data into actionable insights and secure web solutions.

Services

Specialized solutions for conservation tech, NGOs, and small businesses

📊

Data Analytics & Dashboards

Problem we solve:

Organizations drowning in data but lacking actionable insights

Deliverables:

  • Interactive Power BI / Tableau dashboards
  • Automated reporting systems
  • Data pipeline setup (Python, SQL)
  • KPI tracking and visualization
  • Donor impact reports for NGOs

Who this is for:

Conservation NGOs, Small businesses, Nonprofits needing data-driven decisions

Timeframe

2-4 weeks

Starting at

$1,500

🌐

Web Design + Secure Hosting

Problem we solve:

Outdated websites that don't convert visitors into clients or donors

Deliverables:

  • Responsive Next.js / React websites
  • SEO-optimized landing pages
  • Secure hosting setup (Vercel, Netlify)
  • SSL certificates & performance optimization
  • CMS integration (optional)

Who this is for:

Freelancers, Startups, Conservation projects needing online presence

Timeframe

3-6 weeks

Starting at

$2,500

🛡️

Cybersecurity & Training

Problem we solve:

Small teams vulnerable to phishing, data breaches, and attacks

Deliverables:

  • Security audits & vulnerability assessments
  • Phishing simulation campaigns
  • Staff awareness training sessions
  • Incident response planning
  • Security policy documentation

Who this is for:

NGOs, Small businesses, Remote teams handling sensitive data

Timeframe

1-3 weeks

Starting at

$1,000

Featured Case Studies

Real-world projects solving conservation and business challenges

Conservation Tech & Data Analytics

RhinoGuardians - AI Wildlife Protection System

Problem

African black rhinos face extinction from organized poaching. Rangers need real-time threat detection across vast reserves to intercept poachers before strikes occur.

Solution

Built an AI-powered detection system using YOLOv5 computer vision to identify rhinos, humans, and vehicles from drone/camera-trap imagery. GPS-tagged detections trigger instant SMS/email alerts to ranger teams.

Technologies

YOLOv5/PyTorchFastAPIReact.jsPostgreSQLAWS EC2Twilio API

Results

  • 95%+ detection accuracy (mAP) with minimal false alarms
  • Alert response time: <10 seconds from detection to ranger notification
  • Scalable to multiple reserves with low-bandwidth infrastructure
  • Open-source for conservation community adoption

Impact: Proven conservation tech reduces poaching by up to 96% in protected areas (industry benchmark - placeholder for real deployment metrics)

Data Analytics & Automation

Personal Finance Tracker (Python)

Problem

Individuals and small NGOs struggle to track income/expenses and forecast savings goals without expensive software.

Solution

Developed a Jupyter-based finance tracker with automated monthly summaries, category breakdowns, and savings goal projections using Pandas and Matplotlib for visualization.

Technologies

PythonPandasMatplotlibJupyter Notebook

Results

  • Automated expense categorization saving 5+ hours/month
  • Visual spending trends identifying 20-30% budget optimization opportunities
  • Goal tracking with projected timelines based on historical patterns
  • Exportable reports for donor/board presentations

Impact: Users report 25% average improvement in budget adherence (conservative estimate - placeholder for user feedback)

Machine Learning & Conservation

AI Wildlife Conservation Model

Problem

Conservation teams lack predictive tools to allocate ranger resources efficiently based on poaching risk patterns.

Solution

Built a linear regression model analyzing historical poaching incidents and wildlife population data to predict high-risk zones. Enabled data-driven ranger patrol routing.

Technologies

Pythonscikit-learnPandasSeabornJupyter

Results

  • Identified top 3 high-risk zones with 80%+ prediction accuracy
  • Reduced patrol planning time from hours to minutes
  • Interactive heatmaps for visual decision-making
  • Model retrainable with new data for continuous improvement

Impact: Optimized ranger coverage estimated to prevent 15-20% more incidents (model projection - placeholder for field validation)