Deidré Holtzhausen
Auckland,New Zealand
Summary
Dynamic and results-driven Data Scientist with an MSc and over 6 years of experience in leveraging data to drive business solutions. Adept at applying advanced analytical techniques and AI technologies to solve complex business problems. Proficient in a variety of programming languages and database systems, with a strong foundation in mathematics and statistics. Passionate about continuous learning and staying at the forefront of industry trends. Committed to delivering actionable insights and innovative solutions to clients across diverse sectors.
Overview
6
6
years of professional experience
Work History
Senior Data Scientist
Data Insight
08.2022 - Current
- Built a custom local GPT by making use of Langchain and LlamaIndex frameworks for LLM models, enhancing the company's AI capabilities.
- Developed an audio compliance analysis model leveraging the latest AI technologies to ensure field agent compliance with company policies and regulations.
- Developed high-precision churn prediction models for leading telecommunications companies, achieving 98% accuracy. This model effectively identified potential churning customers and supported campaign analysis.
- Created a Python-based web scraper for data extraction, facilitating data analysis for a new sustainability startup.
- Collaborated on crafting an AI white paper, contributing in-depth knowledge and expertise on AI applications across various business sectors.
- Mentored junior team members, fostering their growth and proficiency in data science practices and methodologies.
- Led cross-functional data-driven projects, aligning business objectives with data strategies to drive innovation and value across the organization.
Data Scientist
Convergenc3
10.2021 - 07.2022
- Led a data RFP project, from vendor selection to data analysis, improving claims prediction and quoting time
- Achieved 82% email classification accuracy through a multiclass classification model implementation
- Conducted team training on machine learning and statistical analysis, enhancing productivity
- Developed comprehensive Power BI dashboards to visualize project ROI, product usage, and revenue forecasts
- Utilized time series forecasting for geographical catastrophe likelihood prediction based on historic data
- Prepared and cleaned client data using SAS, SQL, and Excel, contributing to increased ROI through marketing mix models.
Assistant Lecturer
University of Pretoria
02.2019 - 11.2021
- Communicated with professors about curriculum, and submitted reports 2 times per week to maintain up-to-date learning plans for students
- Tutored students in basic statistical applications in SAS, Excel, Python and SQL
- Assisted lecturers in research by performing data cleaning, analysis and A/B testing
- Presented statistics lectures to students, set up weekly worksheets and semester tests.
Lead Data Scientist
Tidus Group
08.2020 - 09.2021
- Led data collection and analysis for an NGO, utilizing SAS, SQL, and Excel, and employed Python time series models to predict rural community growth/decline
- Provided ongoing coaching for the data team, focusing on improved documentation practices
- Established data and reporting infrastructure using Power BI and SQL, offering real-time insights into product performance, marketing funnels, and business KPIs
- Collaborated with an RPA company to implement RPAs in small startups, resulting in a 25% reduction in project turnaround times.
Junior Data Analyst
HLB-NGA Risk Secure
06.2018 - 02.2021
- Built and implemented a Fraud Detection Model, using neural networks, to detect fraudulent transactions in the banking industry
- Built an image and text recognizer to detect text from images by implementing the OpenCV and OCR packages in Python, along with neural networks and sentiment analysis to determine the intent of the text in the images
- Acted as part of a team to build software to read and extract data from articles and implementing sentiment analysis and natural language processes to determine the standing of the person in question in the articles
- Formed hypotheses, and tested ideas to determine viability of operation outcomes.
Education
MSc Statistics & Advanced Data Science - Statistics
University of Pretoria
Pretoria, SA11.2021
BSc(Hons) Statistics - Statistics
University of Pretoria
Pretoria, SA11.2019
BSc Mathematical and Actuarial Science - Mathematical Statistics
University of Pretoria
Pretoria, SA11.2018
Skills
Technical Skills:
- Programming Languages: Python, R
- Data Engineering: Databricks, Azure Data Factory, AWS
- Database Management: SQL, Vector Databases
- Machine Learning/AI: Machine Learning, Artificial Intelligence, Time Series Forecasting, Langchain, LlamaIndex , NLP, Predictive modelling, Statistical modelling
- Data Analysis & Visualization: Data Analysis/Wrangling, Data Visualization, Power BI, Microsoft Excel, SAS, RStudio
- Other Skills: Prompt Engineering, Data Governance, Project Management, Intellectual Curiosity
Soft Skills:
- Communication
- Teamwork
- Time Management
- Leadership
- Adaptability
Communication Skills
- Presented multiple presentations on my research at the South-African Statistics Association.
- Presented companywide workshops and training on newly implemented applications.
References
Available on request.
Timeline
Senior Data Scientist
Data Insight
08.2022 - Current
Data Scientist
Convergenc3
10.2021 - 07.2022
Lead Data Scientist
Tidus Group
08.2020 - 09.2021
Assistant Lecturer
University of Pretoria
02.2019 - 11.2021
Junior Data Analyst
HLB-NGA Risk Secure
06.2018 - 02.2021
MSc Statistics & Advanced Data Science - Statistics
University of Pretoria
BSc(Hons) Statistics - Statistics
University of Pretoria
BSc Mathematical and Actuarial Science - Mathematical Statistics
University of Pretoria
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