Your Data: Unlock the Value, Lock Down the Risk.

I turn complex customer event data into actionable business intelligence—without ever compromising privacy, compliance, or security.

The "Zero-Trust" Methodology

In an era of GDPR, CCPA, and increasing cyber threats, handing over your customer data to an external consultant requires trust. But I don't ask you to trust me blindly; I ask you to trust a verified, rigorous Standard Operating Procedure (SOP).

Most analysts focus only on the code. I focus on the chain of custody. My workflow is designed to protect your liabilities while uncovering your assets.

My 4-Step Secure Data Protocol

From the moment data leaves your server to the moment I deliver insights, every step is governed by a strict internal compliance framework.

1. Secure Ingestion (The Drop Zone)

I never request "data dumps" via email. I provision a dedicated, restricted-access Drop Zone for every client.

Frictionless Upload: I provide a private, access-controlled Google Drive folder specific to your project. Your team can upload data securely using tools they already know.
Double Encryption: Data uploaded to the Drop Zone is protected by Google’s AES-256 encryption at rest and TLS encryption in transit.
Immediate Isolation: This folder acts strictly as a transfer point. It is not used for long-term storage or analysis.

2. The Clean Room (Encrypted Isolation)

Before analysis begins, data is moved from the Drop Zone to my secure, local environment.

Cryptographic Sync: I use rclone, an industry-standard command-line tool, to move data from the Cloud to my local machine. This ensures a verifiable, audit-logged transfer.
Integrity Verification: I rely on rclone's built-in checksum validation to ensure the file that arrives on my machine is bit-for-bit identical to the file you uploaded.
Encrypted Partitioning (LUKS): Your data is never mixed with other files. It is mounted onto a dedicated, temporary Linux LUKS partition (Linux Unified Key Setup) that is encrypted at rest.

3. Rigorous Exploratory Analysis (The Insight)

Once the data is safe, the real work begins.

Surgical Data Cleaning: I manually verify column headers and data types upon ingestion. Any PII that slipped through the extraction phase (names, IPs, emails) is immediately flagged and removed.
Health Checks: I identify data quality issues (missing values, time-gaps, logical errors) on Day 1, preventing costly mistakes later.
Reproducibility: Every chart and metric is backed by clean, documented code.

4. The "Leave No Trace" Guarantee (Cryptographic Erasure)

Data is a liability if kept longer than necessary.

Safe Export: Deliverables are aggregated insights, not raw rows. No customer identifiers exist in the final reports.
Volume Destruction: Upon project completion and client sign-off, I do not just "delete" files. I unmount the LUKS partition and destroy the encryption header. This renders the entire dataset mathematically unrecoverable instantly, satisfying the highest standards of digital forensics.

Legal & Compliance Readiness (DPA)

I understand that data protection isn't just about code—it's about contract law and liability. I am fully prepared to operate under a standard Data Processing Agreement (DPA) to satisfy your internal compliance officers.

DPA Ready: I can sign your standard DPA or provide a templated agreement based on GDPR Art. 28 standards.
No Hidden Sub-Processors: Unless explicitly agreed upon, I do not outsource your data to third-party subcontractors. The chain of custody stays with me.
Breach Notification Protocol: My SOP includes a mandatory 24-hour notification window in the unlikely event of a security incident, ensuring you remain compliant with regulatory timelines.
Right to Audit: My logs and workflows are structured to support your internal audits or Data Protection Impact Assessments (DPIAs).

Why This Matters for Your Business

The "Cowboy" Analyst	My Standard
Downloads CSVs to the `Downloads` folder.	Isolates data in dedicated LUKS encrypted partitions.
"I think I saw a pattern."	"Here is the statistical distribution of that pattern."
Emails you raw spreadsheets with customer names.	Delivers aggregated, decision-ready intelligence.
Hits "Delete" and hopes the data is gone.	Uses cryptographic erasure to make recovery impossible.
Hesitates when you ask for a contract.	DPA and NDA ready on Day 1.

Technical Standards

Storage (Local): Linux LUKS (Linux Unified Key Setup) Encrypted Volumes.
Storage (Cloud): Google Drive Enterprise-Grade AES-256 Encryption.
Transfer: rclone with checksum verification.
Encryption Standard: AES-256 End-to-End (At Rest in Cloud & Local); TLS 1.3 (In Transit).
Stack: Python (Polars/numpy/scipy) and process mining tools in isolated Virtual Environments.

Ready to treat your data with the respect it deserves?

If you have a complex dataset and need an analyst who respects security as much as statistics, let’s talk.

[Contact Me for a Consultation] (I am happy to sign a flexible NDA/DPA prior to our first data discussion.)