Summary
Overview
Work History
Education
Skills
Websites
Certification
Timeline
Generic

Mncedisi Mncwabe

Cape Town

Summary

Mncedisi is a proactive, ambitious and curious Data Scientist with a positive attitude and passion to uncover answers to major business questions through data analytics, modelling and machine learning along with business sense. He is adaptable and open to learn new concepts in Data Science or Analytics space to continuously build on his previous knowledge and add value. He considers a great work ethic, proactiveness, his ability to learn and adapt quickly as his greatest strengths. He has an ability to present insights to a wide spectrum of stakeholders, build and maintain relationships. His professional interests are using his toolbox of programming, machine learning, statistics, and probability to solve challenging problems. These problems can be theoretical or practical in nature.

Overview

8
8
years of professional experience
3
3
Certifications

Work History

Senior Data Scientist

Ayoba
06.2024 - Current

SENIOR DATA SCIENTIST

Loop
9 2022 - 05.2024
  • Enhanced driver capacity planning for on-demand clients through implementing a machine learning demand forecasting model to predict hourly orders, achieving 85% prediction accuracy rate in predicting actual orders
  • Achieved a 30% reduction in kilometres driven and average of 36 minutes reduction in time spent on the road by drivers through developing and implementing a machine learning route planning algorithm for Loop's Logistics clients
  • Implemented dashboards in Looker or Google Data Studio to drive actionable insights for On-demand and Logistics clients to enhance their daily operations and customer experience
  • Use LookML to build data models to enhance data relationships between Looker and SQL databases
  • Build data pipelines using Databricks to streamline data processing and integration, enabling analytics and actionable insights
  • This significantly improves data accuracy and accessibility, enhancing decision-making

DATA SCIENTIST

takealot.com
08.2021 - 09.2022
  • Enhanced inventory optimization by developing and implementing a time series daily sales forecasting model, achieving 80% accuracy rate in predicting actual sales
  • Optimized profitability of promotions by developing and implementing a machine learning linear regression model for strategic pricing
  • Implemented a stock optimization model to find optimal prices to clear dead stock and achieved a 60% sell-through rate
  • Implemented an RFM (Recency, Frequency, Monetary) statistical model for advanced customer segmentation
  • This strategic initiative enabled the business to identify various customer groups, including valuable, churned, and loyal customers
  • This improved targeted marketing strategy that maximizes sales and enhances the overall customer experience
  • Built a profit margin impact tool, a tool that suggests the best or optimal price to maximize profit margin of promotional products
  • Developed a probabilistic Logistic Regression model that predicts the likelihood of a product to have a high return rate
  • This enabled the business to quickly identify and switch off poor quality products and therefore reduce the risk of losing sales through these products
  • Enhanced the efficiency of the planning team by saving them an estimate of 3 hours of daily manual work though automating the daily stock on hand report using Microsoft Power BI and Python
  • Used Looker or Google Data studio to automate reporting of products pricing versus competitor pricing to ensure Takealot's pricing is market fit

MACHINE LEARNING GRADUATE / DATA ANALYST

MultiChoice Group
02.2020 - 08.2021
  • Built a machine learning Logistic Regression model to predict over 7 million customers payback behavior and achieved 76% accuracy, outperforming manual predictions
  • Increased fraud detection rate by 7% across the business using a machine learning Robust Random Cut Forest model that correctly classified over 200 cases of fraudulent activities
  • Enhanced customer experience within the Business Operations department by improving decision-making processes, achieved through the development of actionable insights using Power BI dashboards
  • Implemented reporting dashboards to actively monitor trends and KPIs, providing vital quality analysis for contact centers
  • This directly contributed to enhanced performance through data-driven recommendations and strategic improvements
  • Enabled quicker decision making for HR & Payroll functional departments through data quality monitoring and reporting using Power BI
  • Reduced average customer call wait time and enhanced productivity of inbound call center agents through automating manual tasks using Microsoft Power Automate
  • Effectively utilized Nexidia Analytics for in-depth speech analysis, leading to significant improvements in customer engagement and resolution of customer issues

TUTOR, TEAM LEAD: ADMIN STUDENT ASSISTANCE

University of the Western Cape
02.2017 - 11.2019
  • Led a team of student assistants that managed to assist over 200 first year students with successful and seamless registration process
  • Provided tutorial sessions and helped third year Mathematics and Statistics students pass Statistics, R and SAS programming

Education

WORK READINESS PROGRAM -

Henley Business School

BSC (HONS) STATISTICAL SCIENCES - undefined

University of the Western Cape

BSC MATHEMATICAL AND STATISTICAL SCIENCES - undefined

University of the Western Cape

Skills

Machine Learning

Data Analysis

Predictive Analytics

Time Series

Data Pipelines

Pandas

NumPy

Scikit Learn

Matplotlib

Seaborn

Forecasting

PySpark

NLP

Data Visualization

Data Manipulation

Model Building

Data Cleansing

Data pre-processing

Feature Engineering

Problem Solving

Teamwork

Interpersonal Skills

Analytical Thinking

Change Management

Agile Methodologies

Event Analytics Tracking Design

Data Design

Experimentation

A/B Testing

Databricks

SQL

Python

PySpark

R

Jupyter

LookML

SQL Server

MySQL

Big Query

PostgreSQL

SSMS

KNIME

Google Cloud Platform

Looker

Google Data Studio

Microsoft Azure

Azure Machine Learning

Microsoft Power BI

Tableau

Google Suite

Microsoft Office

SAS Base

SAS Enterprise Miner & Guide

Nexidia Analytics

Gitlab

Github

Jira

Slack

Teams

Amplitude

Notion

Certification

Microsoft Azure Fundamentals

Timeline

Senior Data Scientist

Ayoba
06.2024 - Current

DATA SCIENTIST

takealot.com
08.2021 - 09.2022

MACHINE LEARNING GRADUATE / DATA ANALYST

MultiChoice Group
02.2020 - 08.2021

TUTOR, TEAM LEAD: ADMIN STUDENT ASSISTANCE

University of the Western Cape
02.2017 - 11.2019

SENIOR DATA SCIENTIST

Loop
9 2022 - 05.2024

WORK READINESS PROGRAM -

Henley Business School

BSC (HONS) STATISTICAL SCIENCES - undefined

University of the Western Cape

BSC MATHEMATICAL AND STATISTICAL SCIENCES - undefined

University of the Western Cape

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Mncedisi Mncwabe