Hlokomelang Rakojoana
Data Scientist
Uxbridge
Summary
Versatile data scientist with extensive experience in tech and data consultancy, innovation, performance engineering, risk, and banking. Proficient in transforming complex data into actionable insights and offering strategic project leadership. Enthusiastic about utilizing analytical skills and problem-solving expertise in a dynamic environment to drive data-driven decisions and deliver impactful outcomes for a progressive organization.
Overview
7
7
years of professional experience
6
6
years of post-secondary education
5
5
Languages
Work History
Senior Data & Projects Analyst: AML, CFT and Sanctions
Nedbank Lesotho
12.2023 - 9 2024
- Monitored and analyzed 100+ transaction alerts weekly using Nice Actimize (SAM R, WLF, CDD), ensuring compliance and mitigating risks related to money laundering and terrorism financing.
- Provided oversight on junior analysts, reviewing and validating 80%+ of their alert closure notes for accuracy and compliance with regulatory standards.
- Analyzed and prepared reports for 3+ major stakeholders, including the FIU, Central Bank of Lesotho, and DCEO, ensuring 100% timely submission to senior management for approval.
- Developed and maintained 5+ Power BI dashboards to track KRIs, KPIs, and AML-related metrics, leading to a 20% improvement in report accuracy and efficiency.
- Utilized Oracle SQL to retrieve and analyze datasets, streamlining data extraction processes and reducing report preparation time by 25%.
Special Tech & Data Projects Consultant
Alliance Insurance Company
11.2022 - 11.2023
- Implemented a comprehensive Loyalty Program, resulting in a 20% increase in customer retention
- Introduced data science techniques and tools to improve underwriting processes, reducing claim processing time by 25%
- Suggested and implemented website improvements, leading to a 20% increase in online quote requests and a 15% decrease in bounce rates.
Data Scientist
Cover Whale Insurance Solutions
06.2021 - 06.2023
- Leveraged data analytics to develop predictive machine learning models for risk assessment, contributing to more accurate underwriting decisions
- Collaborated with cross-functional teams to identify key performance indicators (KPIs), optimizing loss runs processes and claims management
- Conducted in-depth data analysis and visualization to identify market trends and anomalies, facilitating data-driven business strategies.
Performance Engineer
TransPerfect Translations International Inc.
06.2020 - 05.2021
- Led the smart devices benchmarking project, ensuring quality and performance standards were met
- Collaborated with teams across the US, Europe, and Asia to identify and resolve performance bottlenecks, resulting in a 30% improvement in app responsiveness
- Conducted rigorous testing and analysis, providing detailed reports to clients (Apple, Samsung, Google, Amazon) for product enhancement.
Part-time Data Analyst
Kellogg Hotel & Conference Center
01.2017 - 04.2020
- Acquired, validated, cleaned, and transformed data for exploration and analytics
- Collaborated with various hotel departments, collecting, and organizing operational data
- Conducted data analysis, identifying guest preferences, and booking patterns, leading to targeted marketing.
Education
Master of Science - Data Science And Analytics
Brunel University London
UxBridge, London 05.2024 - Current
Master of Science - Financial Engineering
WorldQuant University - Online
New Orleans, Louisiana 05.2023 - Current
Bachelor of Science in Mathematics - undefined
Michigan State University
East Lansing, Michigan 08.2016 - 05.2020
Skills
Python (Pandas, NumPy, SciPy, scikit-TensorFlow)
R
SQL (MySQL, Metabase, Google BigQuery, MS Visual Studio, Microsoft SQL Server, Oracle SQL Developer)
Project Management and Tools: Jira, Google Workspace, Microsoft Office Suite, Slack
Database Design and management
Machine Learning: Supervised and Unsupervised Learning, Deep Learning
Data Visualization: Matplotlib, Seaborn, Tableau, Microsoft Power BI
Microsoft Office365
Statistical Analysis and Modeling
Monitoring and Evaluation
Strong communication and interpersonal skills, with the ability to collaborate effectively with multidisciplinary teams and stakeholders
Customer Loyalty Programs
Excellent analytical and problem-solving skills, with the ability to translate complex data into actionable insights and recommendations
Performance Testing and Optimization
AML Tools: Nice Actimize, Safewatch
Actuarial Analysis and Financial Analysis
Report Preparation
Documentation And Reporting
Root Cause Analysis
Team Collaboration and Leadership
Analytical Thinking
Process enhancement
Workflow Analysis
Information Gathering
System Analysis
Audit Support
Risk Analysis
Project Management
Process Improvements
Data Processing
Data Research and Validation
SQL and Databases
Regulatory Compliance
Risk Mitigation
SQL Programming
Continuous Improvement
Deadline Adherence
Incident Reporting
Strategic Planning
Trend forecasting
Trend modeling
Business Operations Analysis
Python Programming
Multiple Priorities Management
Compliance Analysis
Data Modeling
Trend Analysis
Business Intelligence
Account Reconciliation
Quantitative Research
Data Integrity Assurance
Forecasting ability
Statistic analysis
Evidence-Based Decision Making
Big Data Analytics
Corrective Action Planning
Statistical modeling
Predictive Analytics
Tableau Software
Machine Learning
Data Analysis
Teamwork and Collaboration
Timeline
Master of Science - Data Science And Analytics
Brunel University London
05.2024 - Current
Senior Data & Projects Analyst: AML, CFT and Sanctions
Nedbank Lesotho
12.2023 - 9 2024
Master of Science - Financial Engineering
WorldQuant University - Online
05.2023 - Current
Special Tech & Data Projects Consultant
Alliance Insurance Company
11.2022 - 11.2023
Data Scientist
Cover Whale Insurance Solutions
06.2021 - 06.2023
Performance Engineer
TransPerfect Translations International Inc.
06.2020 - 05.2021
Part-time Data Analyst
Kellogg Hotel & Conference Center
01.2017 - 04.2020
Bachelor of Science in Mathematics - undefined
Michigan State University
08.2016 - 05.2020
Languages
Sesotho
Native language
English
Proficient
C2
Kaggle
https://www.kaggle.com/hlokomelangrakojoana
References
Available upon request.
Projects
Motor Insurance Claims Fraud Detection
- Developed a machine learning model to identify fraudulent motor insurance claims, achieving an accuracy of 90% and reducing fraudulent payouts by 25%.
- Engineered features from claim descriptions and policy information and employed XGBoost algorithm for classification.
Pricing Model Enhancement
- Enhanced an existing auto insurance pricing model, resulting in a 5% increase in accuracy of premium predictions.
- Utilized advanced statistical techniques to incorporate new variables and refine rating factors.
Anti-Money Laundering (AML), Counter Financing of Terrorism (CFT), and Sanctions Dashboard:
- Developed a comprehensive dashboard for monitoring AML, CFT, and sanctions compliance.
- Integrated real-time data sources to automate suspicious transaction alerts.
- Enhanced user interface for easier data visualization and decision-making.
- Collaborated with compliance and IT teams to align features with regulatory requirements.
- Improved efficiency of reporting by 30% through automated workflows and analytics tools.
Customer Segmentation and Personalization
- Analyzed customer data to segment policyholders based on demographic and behavioral attributes.
- Built a recommendation engine to personalize insurance offers, resulting in a 12% increase in policy uptake among targeted segments.