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Applied Analytics & AI

Marketing Analytics & AI,
Built for Real Business Decisions

Tech A.D LLC turns data into decisions. We build marketing analytics, machine learning, and cloud data systems that help organizations measure, predict, and act with confidence.

MS.

Marketing Analytics, Wright State University

13yr

Founder operations & analytics experience

4×

AWS, PMP, CISA, Security+ certified

5+

Analytics & data service lines

9+

Detection models in the FleetVision capstone

What We Do

Analytics first.
Everything else supports it.

Every service line maps back to one discipline: applied analytics. From marketing models to cloud data pipelines, the work centers on turning data into measurable outcomes.

★ Core Practice
📊

Marketing Analytics & AI/ML

Customer segmentation, campaign and marketing-mix analysis, forecasting, predictive models, and decision dashboards. Built on Python, SAS, JMP, and Tableau.

Capstone Project
🚗

FleetVision AI

A computer-vision driver-safety analytics system, built as an MS Marketing Analytics capstone. Deployed on a serverless AWS stack, currently in a single-vehicle pilot.

☁️

Cloud Architecture & Data Engineering

AWS Solutions Architecture, cloud migration, ETL pipelines, and data warehousing. The infrastructure layer that makes analytics reliable at production scale.

🔐

Data Governance & Security Advisory

CISA and Security+ credentialed advisory on data governance, access controls, and the security posture of analytics systems and cloud data pipelines.

📈

Operations & Business Analytics

Inventory analytics, sales and order reporting, e-commerce data integration, and BI dashboards for small and mid-sized operations.

Why Tech A.D LLC

A graduate-trained analytics practice with production discipline.

An MS in Marketing Analytics, four professional certifications, and a deployed AI capstone project, in one focused consultancy.

01

Graduate-Trained in Analytics

MS in Marketing Analytics from Wright State University. Coursework spans predictive modeling, segmentation, diffusion models, experimental design, and statistical inference.

02

A Deployed AI Capstone

FleetVision AI is a working computer-vision analytics system on AWS, not a slide deck. It is the applied proof of the analytics methodology.

03

AWS-Native Data Infrastructure

Cloud systems run on AWS-native services: Lambda, DynamoDB, S3, IoT Core, CloudFront. Backed by the AWS Solutions Architect certification.

04

Data Governed & Secured

CISA and CompTIA Security+ credentialed. Analytics pipelines are designed with data governance and access controls built in from the start.

05

PMP-Certified Delivery

13+ years of cross-industry operations experience plus PMP. Projects are scoped, managed, and measured against real outcomes.

06

Methodology Over Hype

Every engagement uses rigorous analytics methodology: clear hypotheses, measured results, and decisions grounded in evidence.

Get Started

Have a data question worth answering?

Analytics project, a model to build, or a FleetVision AI walkthrough. Let's talk.

Capstone Project · MS Marketing Analytics Deployed on AWS

FleetVision AI

A computer-vision driver-safety analytics system. FleetVision AI applies marketing-analytics methodology, instrumentation, event modeling, and measurement, to a real-world safety dataset. It detects 9 driver-behavior categories on a serverless AWS stack.

Built as the capstone for the MS in Marketing Analytics (course MKT 7970). It is currently running a single-vehicle pilot on the founder's own 2017 Toyota Camry. It is a working research and demonstration system, not a commercially sold fleet product.

Request a Walkthrough About the Project →
Live Demo

Watch FleetVision AI in action.

A short walkthrough of the dashboard, the detection models running on the pilot vehicle, and the AWS event pipeline behind them.

What It Detects

9 driver-behavior models.

MediaPipe Tasks API · FaceLandmarker and HandLandmarker · 15fps on-device inference · event-triggered logging to AWS · FMCSA-aligned event categories for research framing.

01

📱 Phone Usage

Hand-landmark analysis identifies phone-hold gestures and hand-to-ear posture while the vehicle is in motion. Mapped to FMCSA 49 CFR §392.82 for research framing.

02

😴 Fatigue

Eye aspect ratio analysis detects drowsiness and micro-sleep episodes in real time, logging an event before sustained attention loss.

03

👀 Distraction

Head-pose estimation via facial landmarks flags sustained off-road gaze events that exceed configurable thresholds.

04

🥱 Yawning

Mouth landmark geometry monitors jaw-open distance to detect repeated yawning as an early-stage fatigue indicator.

05

⚡ Speeding

OBD-II and GPS telemetry flags speed-threshold events and generates time-stamped, audit-ready records.

06

💥 Collision Warning

Forward proximity signals combined with speed data flag tailgating and sudden-deceleration events.

07

🛣️ Lane Departure

Telemetry combined with pose landmarks detects unintended lane drift and swerving, logging events to the dashboard.

08

🔓 Seatbelt Off

Pose landmark geometry checks for seatbelt strap presence across the shoulder and torso region on every journey.

09

📏 Following Distance

GPS-based inter-vehicle spacing with event-triggered alerts when safe following margins are breached at speed.

AWS Architecture

A serverless, AWS-native data pipeline.

⚙️ Edge & Capture Layer

MediaPipe Tasks APIFaceLandmarker + HandLandmarker · 15fps on-device inference
OBD-II Telemetry (Teltonika FMC003)CAN-protocol vehicle data from the pilot 2017 Camry
Hologram IoT SIMCellular connectivity for remote telemetry
Local BufferOffline-resilient capture · sync on reconnect

☁️ AWS Cloud Layer

AWS IoT CoreMQTT over TLS · X.509 certificate auth · event ingestion
Lambda + DynamoDBServerless event processing · composite-key log store
S3 Video ClipsEvent-triggered clip retention · pre-signed URL access
API Gateway + CloudFront + SNSDashboard delivery · alert dispatch
AI Compliance Intelligence

RAG-powered compliance Q&A.

The FleetVision dashboard includes a built-in compliance assistant. It answers natural-language questions about FMCSA regulations and the project's own event history, using vector search and a large language model. This is the analytics-and-retrieval research component of the capstone.

🤖 What You Can Ask

Hours of Service limitsFMCSA 49 CFR Part 395 rules on demand
Phone usage regulationsFMCSA 49 CFR §392.82 instant lookup
Event-history summariesBehavior trends from the pilot dataset
Risk-pattern questionsContext-aware analysis of logged events

⚙️ Under the Hood

Vector Search RetrievalSemantic search across regulations and event history
LLM Reasoning LayerContextual answers grounded in the project's data
Local Analytics FallbackOffline mode for data analysis without API keys
Confidence ScoringEach answer includes a retrieval confidence score and sources
Project Roadmap

Where the project stands.

V4.x
Earlier Iterations

Initial detection pipeline and dashboard prototypes. Superseded by the current version.

Retired
V5
Current Capstone Build

Serverless AWS stack, multi-role dashboard, 9 detection models, and the RAG compliance assistant. Running a single-vehicle pilot.

Deployed · Pilot
Future
Research Extensions

Planned exploration of multi-vehicle data collection and expanded behavior modeling, subject to further research.

Planned
Get Started

See FleetVision AI in action.

Request a walkthrough of the live dashboard, the detection models, and the AWS architecture behind the capstone.

About Tech A.D LLC

An analytics practice,
built around a degree.

Tech A.D LLC is an Ohio-registered technology company founded by Louis Oduro-Sarpong. The firm delivers applied marketing analytics, machine learning, and cloud data engineering for businesses that want to make decisions from evidence rather than instinct.

The founder holds an MS in Marketing Analytics from Wright State University, along with the AWS Solutions Architect, PMP, CISA, and CompTIA Security+ certifications, and brings 13+ years of cross-industry operations experience.

Field of Study Alignment

Tech A.D LLC's work is directly within the founder's graduate field of study. Every service line, from marketing analytics and machine learning to the FleetVision AI capstone, applies the methods and competencies developed in the MS in Marketing Analytics program.

Founder · Louis Oduro-Sarpong

🎓
MS · Marketing AnalyticsWright State University
Graduate
☁️
AWS Solutions ArchitectAmazon Web Services
Certified
📋
PMP · Project Mgmt ProfessionalProject Management Institute
Certified
🔍
CISA · Info Systems AuditorISACA
Certified
🛡️
CompTIA Security+CompTIA
Certified

13+ Years Operations & Analytics Experience

Enterprise and SME engagements

Earlier Graduate Study

MS, Management Information Systems · GIMPA

How We Operate

Principles we build by.

📊

Analytics Is the Discipline

Every engagement starts with a question and a measurable outcome. The methodology comes straight from graduate analytics training.

Ship Working Systems

FleetVision AI is deployed and generating data. We build things that run, not concepts that stay on paper.

☁️

AWS-First Infrastructure

Cloud systems run on AWS-native services. The AWS Solutions Architect certification backs every architecture decision.

🔐

Data Governed by Design

CISA and Security+ credentialed. Data access, integrity, and governance are designed into analytics pipelines from the start.

🎯

Honest About Stage

We describe projects accurately, including what is a pilot and what is in production. Clear claims build durable trust.

🎓

Credential-Backed Expertise

An MS in Marketing Analytics plus four professional certifications, all independently validated.

Let's build something with your data.

One call to scope an analytics project or walk through FleetVision AI.

Services

Analytics, applied.

Five service lines, all grounded in the same discipline: turning data into decisions. Marketing analytics, AI/ML, cloud data engineering, and the FleetVision AI capstone.

01
★ Core Practice

Marketing Analytics & AI/ML

The center of the practice and the founder's graduate field. Customer segmentation, campaign and marketing-mix analysis, demand forecasting, predictive models, experimental design, and decision dashboards.

  • Customer segmentation & targeting
  • Marketing-mix & campaign analytics
  • Demand & sales forecasting
  • Predictive & propensity modeling
  • A/B testing & experimental design
  • Diffusion & adoption modeling
  • Regression & statistical inference
  • Decision dashboards (Tableau)
  • Python, SAS, JMP analysis
  • LLM/GenAI applied workflows
02
Capstone Project

FleetVision AI

A computer-vision driver-safety analytics system, built as the MS Marketing Analytics capstone. Deployed on a serverless AWS stack and currently in a single-vehicle pilot. A demonstration and research system, not a commercially sold product.

  • 9 driver-behavior detection models
  • MediaPipe FaceLandmarker + HandLandmarker
  • 15fps on-device edge inference
  • AWS IoT Core + X.509 certificates
  • Lambda + DynamoDB event pipeline
  • S3 event-triggered video clips
  • CloudFront + API Gateway dashboard
  • RAG-powered compliance Q&A
  • Single-vehicle OBD-II pilot
  • Multi-role PWA interface
03

Cloud Architecture & Data Engineering

The infrastructure layer that makes analytics reliable. AWS Solutions Architecture, cloud migration, ETL pipelines, data warehousing, and serverless data systems, all built for production scale.

  • AWS cloud architecture & migration
  • Serverless data pipelines
  • ETL design (Lambda, DynamoDB, S3)
  • Data warehousing & modeling
  • Infrastructure as code (AWS CDK)
  • ML model deployment
  • Computer vision & NLP pipelines
  • BI & reporting integrations
  • Python & full-stack development
  • CI/CD for data systems
04

Data Governance & Security Advisory

Analytics is only trustworthy when the data is. CISA and Security+ credentialed advisory on data governance, access controls, and the security posture of analytics systems and cloud data pipelines.

  • Data governance frameworks
  • Access control & identity design
  • Analytics pipeline security review
  • SOC 2 & ISO 27001 advisory
  • Cloud data risk assessments
  • Compliance mapping & documentation
  • Data integrity & audit readiness
  • Secure cloud architecture review
05

Operations & Business Analytics

Analytics and reporting systems for small and mid-sized operations. Inventory analytics, sales and order reporting, e-commerce data integration, and BI dashboards that surface what the numbers actually say.

  • Inventory & stock analytics
  • Sales & order reporting
  • E-commerce data integration
  • Operations KPI dashboards
  • Process & workflow analysis
  • Forecasting for operations
  • Reporting automation
  • Data cleanup & structuring

Not sure where to start?

Book a free 30-minute discovery call. We'll scope the analytics work that fits your data and your goals.

Contact

Let's talk about your data.

Analytics project, a model to build, or a FleetVision AI walkthrough. We respond within one business day.

Get in touch

👤
FounderLouis Oduro-Sarpong
📧
Emaillouis@techad.us
🏢
CompanyTech A.D LLC · Ohio-registered
🕐
Response TimeWithin 1 business day

Certifications

AWS SAAPMPCISASecurity+