Jeniffer Mukami Mariga

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Data Science Consultant, Quantitative Trading Strategies (QTS)

Royal Bank of Canada Capital Markets

Apr 2024 - Current (2 years 7 months)

• Engineered and optimized machine learning models using Python, focusing on LightGBM models, to predict bond spreads, improving prediction accuracy and efficiency.
• Developed and deployed classification models for municipal bond adjustments.
• Automated data processing and feature engineering pipelines using Airflow, which involved designing workflows that ingest market data into Amazon S3.
• Performed hyperparameter tuning and cross-validation to optimize model performance, ensuring robust and reliable predictions under varying market conditions.
• Monitored and maintained models in production, utilizing advanced statistical techniques and machine learning algorithms to support trading strategies and prov

Data Science Consultant, Research and Quantitative Analysis Team

BlackRock

Aug 2023 - Apr 2024 (9 months)

• Contributed to the development of an early warning indicator system to predict market stress, utilizing advanced data processing techniques.
• Engaged in feature engineering to refine and optimize model inputs, aiding in the enhancement of predictive accuracy.
• Researched and evaluated advanced machine learning models, facilitating the adoption of robust methodologies for market analysis.
• Assisted in improving the overall performance of predictive models, contributing to the firm's capabilities in market foresight and analytics.
• Engaged in the development of a critical service for a comprehensive data science platform, focusing on missing value imputation.
• Contributed to the creation of a ve

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Data Scientist, Research and Development

Prospect 33

Aug 2022 - Aug 2023 (1 year 1 month)

• Spearheaded the development of a recruitment automation system, significantly streamlining the end-to-end recruitment process.
• Designed and implemented a scoring system for applicant evaluation against multiple job roles, enhancing candidate-job matching accuracy.
• Improved recruitment efficiency and decision-making through the development of a comprehensive applicant management application.
• Analyzed and visualized workforce management data to drive strategic insights.
• Applied machine learning techniques to enhance data insights, aiding in the forecasting of workforce utilization for capacity planning.
• Conducted predictive analysis to pre-empt attrition, identifying key factors leading to

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Data Science Intern

Explore AI:

Apr 2022 - Aug 2022 (5 months)

• Participated in a team that developed a software tool recommending grocery stores to customers based on location and item prices.
• Assisted in web scraping to collect data on item pricing and availability, contributing to the analysis of market dynamics.
• Analyzed correlations between item prices and availability across different stores, including observing price trends over time.
• Contributed to the creation of predictive models forecasting product sales, and supported the integration of these algorithms into the application.
• Leveraged SQL skills to craft complex queries for price analytics, utilizing a managed PostgreSQL instance in the cloud, which enhanced the tool's data processing capabilities.

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Financial Analyst

African frontier capital

Jan 2022 - Jul 2022 (7 months)

• Conducted comprehensive financial analyses of potential investment targets, focusing on off balance sheet debts and receivables, to facilitate acquisition strategies in the African solar sector.
• Evaluated the financial stability and growth potential of pay-as-you-go solar companies, ensuring profitable investment opportunities.
• Forecasted cash flows and evaluated investment returns by analyzing turnover rates and amortization schedules, utilizing Excel for financial modeling and reporting.
• Created insightful investor presentations and dashboards within GCP, presenting key financial metrics and investment opportunities, leading to informed decision-making and stakeholder engagement.
• Leveraged GCP tools t

Pro Bono Data Scientist

DataKind

Jan 2020 - Dec 2021 (2 years)

• Conducted data cleaning, exploration, and modeling on large-scale HesabPay user and transaction datasets, utilizing SQL to query and manage data effectively. • Designed clustering frameworks to segment customers for targeted outreach, leveraging insights derived from data stored in PostgreSQL. • Built predictive prototypes to inform user retention, transaction growth, and product adoption strategies, employing cloud computing resources for scalability. • Developed interactive dashboards for real-time monitoring of key metrics, integrating data from various sources to enhance decision-making. • Documented methodologies and led knowledge transfer sessions, ensuring solution sustainability and best practices for data governance. • Drove fina

Jeniffer Mukami Mariga

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Jeniffer Mukami Mariga

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