Jacklyne Betty
Data Scientist|Commercial Planner
Tatu City,Kiambu
Summary
I thrive in an environment that needs the establishment, refining, and launching of efficient business solutions through the process of defining the current structures of the solutions in place, the desired progress, or shift, and setting achievable sequential milestones to accomplishing deliverables.
Overview
5
5
years of professional experience
10
10
years of post-secondary education
7
7
Certifications
Work History
Commercial Planner
Copia Kenya
Tatu City
10.2020 - Current
- Big Data Customer Analytics: Multi-variate segmentation & business value segmentation of consumers for more than 3M data points - Key in top line pursuit optimization.
- Machine Learning driven Monthly & Weekly re-projections on Quantity levels, Revenue, Customers, AOV, ARPC, and Margins - Steers planning discourse towards actionable strategies in redeeming, recovering, and increasing business performance towards and beyond monthly and weekly targets.
- Machine Learning solution for Min-Max stock replenishment business solution (30-60-90 Day projections) - Assists procurement managers on warehouse anticipated stock levels.
- Automated reporting on Month-to-Date Variance Analysis, key in monitoring weekly performance sis a vis the weekly and monthly targets for each line of business/procurement - Essential in monitoring business performance throughout each month, and pursuing remedies for stronger performance.
- Automated solution for Market Price Data Analysis: Involves Web Scraping, Sheets reading, Scripting & Analysis, & Dumping & Visualization through Tableau Server by Product and Regions - Crucial in price discrimination strategies, and monitoring of competitiveness with the general markets.
- Team management of 21 Pricing Field Officers. Involves approvals of allowances/stipends, management of data collection and data quality from various regions across Western and Central Kenya - Drives pricing discourse and strategies.
- Recruitment & On-boarding of new Pricing Field Officers. Involves optimization of regional coverage by region, and by specified routes - Facilitates pricing strategies coverage by agent & consumer population.
- Eliminated downtime and maximized revenue through automated Pricing Analytics by providing top project quality control.
- Participated in team-building activities to enhance working relationships.
Data Incubator - Data Scientist
KPMG East Africa
11.2019 - 09.2020
- Developing and Deploying Machine Learning Solutions for the East African Market.
- Built and refined a working Fraud Prediction Supervised Machine Learning Algorithm.
- Built and refined a working Employee Churn Machine Learning solution - Supervised and Unsupervised ML: 8 Model Solution.
- Built and refined a working Supervised ML algorithm that sought to establish the Probability of Winning a Contract Job.
- Built and refined a working Unsupervised ML Consumer Analytics algorithm solution
- Built and refined a working Natural Language Processing solution - Sentiment Analysis on Twitter Scrapped Data - Lexicon Based Classification
- Other solutions ventured in: Revenue Forecasting - Prophet in R, an algorithm database in R, RMD documentation & publication, and project documentation for projects including PoCs, R&D Findings, Project Findings, Impact on Business, Data Privacy highlights, and Toulmin style one pagers for executive decision making.
Data & Analytics Associate
KPMG East Africa
09.2018 - 11.2019
- Future of HR Survey: Artificial Intelligence and Predictive Analytics Thought Leadership (Published 19th February, 2019)
- IFRS9 on R: Identification of credible Macro-Economic Variables datasets; Data tests to ascertain accuracy, appropriateness and completeness of data; Building of Multi-Variate Macro-Economic models using Machine Learning algorithms; Testing of models on data to obtain forecasts of the macro-economic variables impact on probabilities of default; Establishment of Confidence interval of established forecasts, Model coefficients and significance, and Model performance parameters: p-values, Adjusted R2, among other accuracy and performance measures.
- Sentiment Analysis on Google Cloud NLP for a global aid donor focused on rural development: Data Cleansing and Manipulation on Alteryx and building of a PowerBI dashboard for both quantitative and qualitative analyzed data.
- IFRS17 General Measurement and Premium Allocation Models data manipulation & automation on Alteryx: Selection of specific data sections from MS Excel worksheets, and transition of MS Excel models and formulae to Alteryx Workflows and Alteryx Application.
- Consumer Analytics Training on R: Data Profiling, and Clustering Algorithms. The material was developed for training purposes and includes both MS Word material, as well as R scripts (including .RMD).
- Fraud Prediction on R: Predicting fraudulent claims using Supervised Machine Learning Methods, that are later tuned with specified cost, and parameter value ranges.
- Sentiment Analysis Training on R (Bing Lexicon).
- Twitter Scrap: Sentiment Analysis - Entity Extraction - Data Modelling - Data Dump (SSMS) - PowerBI Insights Dashboard
Data & Strategy Analytics Consultant - Contractor
Strathmore Business School, SBS
05.2018 - 08.2018
- Use of data and analytics tools to draw insights for strategic implementation of change to enhance business processes and operations. Specifically: Sentiment Analysis of client/student feedback, and social media activity using lexicons and Machine Learning on R.
- Trainings Undertaken: Africa Data Cube training and workshop to facilitate the management of the first Data Cube in Africa by ARDC. This involves use of Jupyter notebooks on python markdowns, use of a friendly UI for access of Landsat images.
Consulting Analyst
PKF Eastern Africa
, Kenya
02.2018 - 04.2018
- Corporate Finance Consulting: Planning studies and analyses of the business problems or issues to help resolve them. This is done by interviewing key stakeholders in the company, gathering and organizing information, analyzing data and preparing reports that summarize findings. Key Deliverable: Information Memorandum, Business Plan, Business Review, Feasibility Study, and Business Valuation.
- Public Sector Consulting: Tendering process: Preparation of Expression of Interest, Request for Proposal and Qualification applications; as well as Financial Valuation of bids on a such a process.
Manager/Founder
Bishops Residence Ventures
02.2016 - 09.2016
- Bishops Residence Ventures was a registered business that sought to provide affordable accommodation, cleaning services and mentor-ship programs to students and young professionals, as well as travelers who choose to stay with us.
Associate Category Manager
JUMIA KENYA
, Nairobi
09.2015 - 01.2016
- Data analysis: Product, brand, category, and campaign performance.
- Business Intelligence: Using data analysis to make recommendations on business improvement, for example, product bundling, discounts required to improve business, and which products/brands that need to be offloaded, and which ones require more visibility to increase sales.
- Product marketing optimisation: Boosting of top selling items to increase page views and conversion rates, as well as increasing traffic for items that have affordable prices and/or discounts.
- Online/Offline competitive pricing analysis: Generating reports based on offline and online research on the pricing of specific items already offered by Jumia. This was done to ensure that Jumia had the most competitive prices, and that the company was up to date with market trends, customer preferences and tastes as well.
- Vendor management: This involved ensuring that all products had sufficient stock and had competitive prices on them by liaising with vendor managers and vendors themselves.
- Cross-selling: This was done through business intelligence and involved cross selling items that were complementary to boost sales, and increase traffic and conversion rates for the said items.
- Campaign Push Matrix: This involved a selection process of items to feature in the daily, weekly, monthly, and Black Friday sales.
Education
Master of Science - Business Analytics
University of Bath
United Kingdom 10.2016 - 12.2017
Bachelor of Science - Actuarial Science
Strathmore University
Nairobi, Kenya 04.2011 - 06.2015
Certificate - Financial Mathematics
Institute And Faculty of Actuaries
United Kingdom 01.2013 - 06.2013
High School Diploma -
St. Francis Mang’u High School
Thika, Kenya 02.2007 - 11.2010
Skills
Data Science
Commercial Planning
Pricing Analytics
Consumer Analytics
Commercial experience
Machine learning
Data Mining
Decision Making
Data Science research methods
Data analytics
Power BI
Tableau
Data Visualization & Storytelling
R-Programming
Websites
Certification
Kubicle - Financial Statements
Additional Information
- Kamilimu Kenya: Outstanding Professional Mentor ICT Skills - Data Science
Accomplishments
- Supervised team of 22 staff members.
- Achieved automated Pricing Analysis by introducing R and Google Sheets Data Analysis for Market Intelligence Analysis tasks.
- Collaborated with team of 6 in the development of a Media Monitoring Tool (NLP/ML).
- Achieved over 0.5B KES in December 2021 by completing Automated Pricing Analytics with accuracy and efficiency.
- Used Machine Learning to develop a Media Monitoring Tool through Natural Language Processing.
- Used Machine Learning to develop Demand Forecasting solutions.
- Achieved an uplift in Revenue of12M KES by completingCustomer Segmentation with accuracy and efficiency.
Outstanding Professional Mentor ICT Skills - Data Science (Kamilimu)
Task based structured mentorship to achieve the goals set by the mentees, the organization, and myself.
My aim was to work towards eliminating timidity, and asserting ambition in corporate workspaces for young ladies in STEM.
Timeline
Commercial Planner
Copia Kenya
10.2020 - Current
Kubicle - Financial Statements
06-2020
Kubicle - Data Literacy - Thinking and Communicating with Data
06-2020
Kubicle - Model Building
06-2020
Kubicle - Data Literacy - Introduction to Data and Databases
06-2020
Kubicle - Financial Projections
06-2020
Data Incubator - Data Scientist
KPMG East Africa
11.2019 - 09.2020
Kubicle - Data & Analytics
02-2019
Data & Analytics Associate
KPMG East Africa
09.2018 - 11.2019
Data & Strategy Analytics Consultant - Contractor
Strathmore Business School, SBS
05.2018 - 08.2018
Consulting Analyst
PKF Eastern Africa
02.2018 - 04.2018
Master of Science - Business Analytics
University of Bath
10.2016 - 12.2017
Manager/Founder
Bishops Residence Ventures
02.2016 - 09.2016
Associate Category Manager
JUMIA KENYA
09.2015 - 01.2016
IFoA - Certificate in Financial Mathematics
06-2013
Certificate - Financial Mathematics
Institute And Faculty of Actuaries
01.2013 - 06.2013
Bachelor of Science - Actuarial Science
Strathmore University
04.2011 - 06.2015
High School Diploma -
St. Francis Mang’u High School
02.2007 - 11.2010