Summary
Overview
Work History
Education
Skills
Timeline
Generic

Samuel Dachs

Electronic Engineer
Johannesburg

Summary

Results-driven AI Data Scientist specializing in Natural Language Processing and customer intelligence solutions. Proven track record of transforming unstructured customer interaction data into actionable business insights through advanced NLP techniques including sentiment analysis, clustering, and text mining. Experience in developing end-to-end AI solutions from proof-of-concept to production, including text-to-speech applications, intelligent chatbots for sales automation, and multimodal data extraction systems using OCR and LLMs. Strong business acumen with demonstrated ability to quantify ROI, build executive-ready dashboards, and translate complex AI capabilities into measurable business value. Proficient in Python, SQL, and modern ML frameworks with experience in both traditional machine learning and cutting-edge Large Language Model implementations.

Overview

3
3
years of professional experience

Work History

Data Scientist - AI/NLP

FNB
Johannesburg
01.2024 - Current

Customer Insights & Analytics

  • Applied advanced NLP techniques to extract actionable insights from customer interaction data, including clustering algorithms for customer segmentation and sentiment analysis to understand customer experience patterns
  • Performed comprehensive text preprocessing and data cleaning to ensure high-quality inputs for machine learning models and analytical processes

AI Strategy & Implementation

  • Researched and evaluated Large Language Model (LLM) integration opportunities to drive business value across various departments and use cases
  • Developed and presented business cases demonstrating quantifiable value and ROI from AI/ML initiatives to stakeholders and leadership teams

Product Development & Prototyping

  • Designed and built proof-of-concept solutions for diverse business requirements, translating technical capabilities into practical applications ranging from text-to-speech systems to intelligent chatbots that gather and interpret customer needs for automated sales enablement
  • Created end-to-end text extraction and manipulation pipelines to transform unstructured data into business-relevant insights, leveraging OCR technology and multi-modal LLMs to significantly improve extraction accuracy across diverse data formats

Business Intelligence & Reporting

  • Helped develop interactive reporting dashboards to visualize customer insights and model performance metrics for non-technical stakeholders
  • Produced comprehensive analytical reports quantifying business impact and identifying optimization opportunities from NLP implementations

Technical Expertise

  • Collaborated cross-functionally to identify high-impact use cases for text analytics and AI-driven solutions

Graduate Intern

Rapid Mobile
Pretoria
12.2022 - 02.2023

Designed and modeled novel inductor architectures for high-frequency amplifier applications, optimizing electromagnetic performance and circuit integration requirements

Education

Honours - Electronic Engineering

University of Pretoria
Pretoria, South Africa
04.2001 -

Skills

Python programming

Business requirements gathering and stakeholder management

Machine learning

Intent recognition (Classification models)

OCR

Text extraction

Statistical analysis

SQL databases

Natural language processing (NLP)

Sentiment analysis

Graph theory

VectorDB - Chromadb/weaviate

Web scraping

Huggingface

fine-tuning - Unslothed/ Huggingface - LORA

Timeline

Data Scientist - AI/NLP

FNB
01.2024 - Current

Graduate Intern

Rapid Mobile
12.2022 - 02.2023

Honours - Electronic Engineering

University of Pretoria
04.2001 -
Samuel DachsElectronic Engineer