Summary
Overview
Work History
Education
Skills
Certification
Websites
PROJECTS
Timeline
Generic

MUKUNDI MPHAPHULI

Pretoria

Summary

I am highly skilled solving analytical problems and data cloud solutions in both AWS and Microsoft Azure. Proficient in various programming languages, including Python, C#, SQL, Java, and R, with exceptional data wrangling and preparation skills. Enthusiastic about learning and research, with the ability to compile analytical reports and statistical data using multiple tools. Effective in leading and collaborating with teams, with a talent for developing and nurturing individuals' talents and character. I am proficient in Microsoft 365 applications such as Excel, PowerPoint, and Word, with a strong proficiency in statistics and numerical analysis. Well-versed in reward programs, marketing and sales, with an ability to drive sales and sell concepts to potential clients and customers. Demonstrated expertise in data analysis and representation tools, such as Google Analytics and Power BI. Experienced in training, deploying, and monitoring machine learning models, with strong validation skills using cross- validation, f1-scores, recall, residual analysis, and other methods. Skilled in handling conflicts and managing expectations while working collaboratively with cross-functional teams. Proficient in utilizing frameworks and tools such as Django, Pandas, Sci-learn NumPy, TensorFlow, and Keres to build neural networks, including LSTMs, ANNs, CNNs, and RNNs. Well-rounded knowledge of increasing model performance and precision using confusion metrics and various hyperparameter tuning methods. Familiar CI/CD tools like Jenkins, Travis and Bamboo. Familiar with the Machine Learning AWS and AZURE pipelines. Expertise in Snowflake, Databricks, Big Query, Synapse. experience with the Big Data stack (SPARK, Hadoop, Hive, Kafka) as well as with the No-SQL (e.g., MongoDB, HBase, Cassandra). Working experience with ETL (Extract-Transform-Load) tools (e.g., Informatica, Talend, Ab Initio, Pentaho. Experience working with various data visualization tools (e.g., Tableau, Power BI, Oracle Analytics Cloud etc.). Analytical and consulting skills. Strong written, verbal, and presentation communication skills. Be able to work with customers independently. Excellent communication skills, preparation and delivery of presentations and reports. Working within a project management/agile delivery methodology in a leading role as part of a wider team.

Overview

9
9
years of professional experience
1
1
Certification

Work History

Machine Learning Lead

Standardbank
PRETORIA
01.2024 - Current
  • Collaborated with Standard Bank Insurance Brokers to develop a quality assurance algorithm leveraging a Large Language Model (LLM). Utilized AWS Transcribe to process transcribed insurance calls, identifying key phrases to assess compliance and detect potential fraud.
  • Collaborated with Standard Bank's Fraud Team to develop an algorithm for automating funeral claims processing. Leveraged Amazon Fraud Detector, Amazon Textract, and Amazon Comprehend to reduce the end-to-end processing time from 2 months to 4 days.
  • Managed Artificial Intelligence projects utilizing agile methodologies, mentored trainees and junior team members, ensured deadlines were met, and maintained adherence to budget constraints.

MACHINE LEARNING ENGINER CONSULTANT

TLC MARKETING
03.2023 - 12.2023
  • Cleaning data and utilizing a range of machine learning classification and regression algorithms, including NLPs, SVMs, transformer models, and LSTM's, to predict customer spending patterns and behaviors
  • Leveraging customer feedback data, we curate diverse sentiment-based and personalized algorithms, identifying patterns that resonate with the audience
  • These insights empower my team to create more engaging and effective content via content personalization algorithms
  • Additionally, implementing various algorithmic clustering ensemble techniques and conducting sales forecasting
  • Utilizing AWS tools such as Amazon S3, Athena, Amazon Glue, Data Wrangler
  • Monitored and logged algorithms through SageMaker clarify, SageMaker model monitor and SageMaker Experiments, effectively preparing data for classification modeling Other tools that were utilized are AWS codePipline, AWS Codebuild, AWS deploy, Docker & Kubernetes, AWS CloudWatch, Terraform and EC2, Kinesis, Kafka, Pyspark, SNS, SQS and text tract

Senior Data Analyst Consultant

SUN INTERNATIONAL
PRETORIA
03.2023 - 12.2023
  • Leveraging my analytical expertise to extract actionable insights from complex datasets, driving informed decision-making processes to stakeholders
  • Responsibilities include conducting thorough data analysis, developing predictive models, and implementing strategies to optimize customer experiences using AWS tools such as, Kafka, RDS, redshift, Glue, S3, EC2, CloudWatch, IAM, SNS, SQS, Aurora, pandas, NumPy, TensorFlow, RDS, S3, Docker and Kubernetes, AWS Code build, AWS deploy and SageMaker.

BIZZVIEW PROJECT MANAGER

TIGER BRANDS
06.2022 - 03.2023
  • Rectified data discrepancies within the Oracle database backend and established user-friendly frontend budgeting interfaces and assorted business unit forms, tailored for the finance department within the Bizzview platform
  • Contributed to the enhancement of sales projections and achieved a noteworthy 10% reduction in production costs for multiple products manufactured by the company.

DATA SCIENCE MANAGER

LIFE & BRAND
01.2021 - 06.2022
  • Led the coordination and execution of data analysis and reports for a portfolio of 60 restaurants nationwide, including renowned brands such as LAPARADA, OLD TOWN ITALY, and TIGERS MILK
  • Collaborated closely with the group head to develop and implement a range of effective marketing strategies within the AWS environment that drove customer engagement and retention
  • Successfully curated and executed multiple events that resulted in increased brand awareness and generated a significant return on investment
  • Demonstrated strong project management skills using AWS CodeStar, overseeing all aspects of event planning and execution, from concept development to post-event analysis using AWS SageMaker, AWS Glue
  • Leveraged data-driven insights and analytics to optimize marketing strategies and achieve maximum impact, while minimizing costs and resources
  • Provided leadership and guidance to cross-functional teams, ensuring smooth collaboration and effective communication across all levels of the organization
  • More tools that where used are docker and Kubernetes, Kafka, RDS, redshift, S3, EC2, Cloudwatch, IAM, SNS, SQS, Aurora, pandas, NumPy, TensorFlow.

PRINCIPAL SOFTWARE ENGINEER

CHUCKS FOOD DELIVERY SERVICE
07.2020 - 01.2021
  • Collaborated with the founders of a food delivery app designed for the township market, operating in and around Soweto, to improve the code and functionality of the app
  • Successfully redesigned and optimized the web application, using React Native for the frontend and streamlining the user experience
  • Demonstrated expertise in software development and code optimization, improving the overall efficiency and stability of the application
  • Contributed to the organization's operations management, playing a key role in increasing daily sales by 35% through strategic planning and execution
  • We used tools such as AWS EC2, Kinesis, IAM, SNS, SNQ, RDS, S3, Docker and Kubernetes, AWS Code build, AWS deploy, SageMaker, AWS CloudWatch, Terraform, Kafka, Pyspark, SNS, SQS and text tract Provided technical guidance and mentorship to junior developers, demonstrating effective leadership and team management skills.

MACHINE LEARNING ENGINEER

MLILO TECH
12.2018 - 06.2020
  • Applied advanced machine learning techniques to classify and verify data within the AWS and Microsoft Azure cloud environments using classification algorithms such as Random Forests and Logistic Regression models
  • Successfully identified and filtered out spam emails from legitimate ones, improving overall email security and reducing the risk of phishing attacks
  • Utilized r and python programming languages to develop and deploy machine learning models, effectively managing large datasets for analysis and prediction
  • Demonstrated expertise in data preprocessing and feature engineering through the tools and services of Amazon Athena, Amazon Glue, SageMaker Data Wrangler.Monitored and logged algorithms through SageMaker clarify, SageMaker model monitor and SageMaker Experiments, effectively preparing data for classification modeling Other tools that were utilized are AWS codePipline, AWS Codebuild, AWS deploy, Docker & Kubernetes, AWS CloudWatch, Terraform and EC2, Kinesis, Kafka, Pyspark, SNS, SQS and text tract
  • Collaborated with cross-functional teams, communicating findings and recommendations to stakeholders in a clear and concise manner.

DATA SCIENTIST

AIREY GROUP
06.2017 - 12.2018
  • Specialized in identifying fraudulent and irregular spending patterns within financial organizations using advanced machine learning techniques
  • Leveraged support vector machine algorithms and complex
  • LSTM's algorithms analyze and detect suspicious behavior
  • Utilized python and r programming languages to develop and deploy machine learning models, effectively managing large datasets for analysis and prediction
  • Demonstrated expertise in data visualization and communication, successfully translating complex machine learning outputs into actionable insights for stakeholders
  • Collaborated with cross-functional teams, effectively communicating findings and recommendations to non-technical audiences
  • Mostly developed, analyzed, build models and deployed them within the AWS environment using services and products such as Amazon S3, Amazon RDS, Amazon redshift, Amazon Glue, Amazon Comprehend, Amazon personalize, Amazon API gateway, AWS Lamda, AWS, Step function, Amazon CloudWatch and AWS CodePipeline.

JUNIOR DATA SCIENTIST

BOOMTOWN
01.2016 - 06.2017
  • Leveraged data science techniques to capture and clean customer data for predictive modeling purposes
  • Utilized ticket sales data to forecast attendance and projected profit and loss margins for upcoming events
  • Applied classification algorithms, such as k-nearest neighbors, to analyze customer sentiment and engagement on social media platforms
  • Successfully managed a large clientele database, using predictive insights to inform strategic decision-making around customer experiences
  • Conducted coding and analysis using python programming language, demonstrating proficiency in data manipulation and hyperparameter tunning
  • I utilized tools such as Pandas, TensorFlow, NumPy, Doker & Kubernetes, Seaborn, Matplotlib, plotly, sklearn through Jupyter notebooks
  • Mostly coding in python.

SUN INTERNATIONAL

Education

Bachelor of Science - Mathematics And Computer Science

UNISA
Pretoria
12-2023

Skills

  • Machine learning
  • Strong statistical and analytical skills
  • Bizzview
  • CI/CD
  • Deep Learning Neural Networks
  • AWS
  • Microsoft Azure
  • Python & R
  • Jupiter Notebook
  • SQL
  • Agile
  • Time-series analysis
  • Big data technologies
  • Project Management
  • Deep learning
  • Data Analytics
  • Data Visualization
  • Time management abilities
  • Relationship Building
  • Analytical Thinking
  • Team building
  • Decision-Making

Certification

  • CERTIFIED AWS MACHINE LEARNING SPECIALIST
  • CERTIFIED MICROSOFT AZURE DATA SCIENTIST
  • CERTIFIED MICROSOFT AZURE DATA ENGINEER
  • MACHINE LEARNING WITH PYTHON, IBM
  • MACHINE LEARNING FOR BUSINESS PROFFESIONALS, GOOGLE CLOUD PLATFORM
  • DEEP LEARNING & TENSORFLOW, IBM
  • SQL FOR DATA SCIENCE,, IBM
  • ORACLE AUTONOMOUS DATABASE CLOUD CERTIFIED SPECIALIST, ORACLE
  • ORACLE CLOUD INFASTRACTURE FOUNDATION CERTIFIED ASSOCIATE, ORACLE
  • DESIGNING AND IMPLEMENTING A DATA SCIENCE SOLUTION ON AZURE

Websites

PROJECTS

  • GIT-HUB REPOSITORY (ML ALGORITHMS AND NEAURAL NETWORKS)
    •HTTPS://GITHUB.COM/MUKUNDIMPHAPHULI/PROJECTS
  • CHUCKS TOWNSHIP FOOD DELIVERY SERVICE ( FOOD DELIVERY APP)
    •https://chucksapp.co.za/

Timeline

Machine Learning Lead

Standardbank
01.2024 - Current

MACHINE LEARNING ENGINER CONSULTANT

TLC MARKETING
03.2023 - 12.2023

Senior Data Analyst Consultant

SUN INTERNATIONAL
03.2023 - 12.2023

BIZZVIEW PROJECT MANAGER

TIGER BRANDS
06.2022 - 03.2023

DATA SCIENCE MANAGER

LIFE & BRAND
01.2021 - 06.2022

PRINCIPAL SOFTWARE ENGINEER

CHUCKS FOOD DELIVERY SERVICE
07.2020 - 01.2021

MACHINE LEARNING ENGINEER

MLILO TECH
12.2018 - 06.2020

DATA SCIENTIST

AIREY GROUP
06.2017 - 12.2018

JUNIOR DATA SCIENTIST

BOOMTOWN
01.2016 - 06.2017

SUN INTERNATIONAL

Bachelor of Science - Mathematics And Computer Science

UNISA

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