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winnie n

@winnien

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Data-driven Operations Analyst with expertise in financial services analytics.

Kenya

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What I'm looking for

I seek a role that fosters innovation and values data-driven decision-making.

I am a data-driven Operations Analyst with over 2 years of experience in the financial services sector, specializing in analytics, dashboard reporting, and operational optimization. My expertise lies in transforming large financial datasets into actionable insights that drive strategic decisions. I have a proven track record of improving operational efficiency through cross-functional collaboration and data analysis, particularly in traditional banking operations and crypto investigations.

At I&M Bank, I led a root cause analysis that uncovered a critical flaw in our Digital Onboarding Platform, saving the company over $50,000 in potential legal risks. I designed SQL queries and developed Power BI dashboards that enhanced decision-making processes, contributing significantly to client retention and business growth. My passion for blockchain technology fuels my commitment to leveraging data to enhance financial access and innovation.

In addition to my technical skills in SQL, Python, and Power BI, I prioritize stakeholder communication and mentoring to foster a data-driven culture within organizations. I am dedicated to continuous learning and development, as evidenced by my ongoing education in Data Science at WorldQuant University.

Experience

Work history, roles, and key accomplishments

Current

Operations Analyst – Data & Strategy

Current

I&M Bank

Apr 2024 - Present (1 year 4 months)

Led a root cause analysis on the Digital Onboarding Platform (DSO), uncovering a critical flaw in KYC email validation— averting potential data privacy violations and saving the company over $50,000 in legal risk exposure. Designed SQL queries and developed a Power BI dashboard to track sales KPIs, enabling faster decision-making that directly contributed to the retention of 3 key clients valued a

SQL Power BI KYC Data Privacy KPI Tracking Cross Functional Collaboration Data Literacy Process Optimization

Current

Data Science Collaborator

Current

Omdena Global AI Projects

Jun 2021 - Present (4 years 2 months)

Led a 20-member team in building ML models to predict flood impact in Budalangi, Kenya using geospatial and temporal data, informing NGO disaster planning. Improved accuracy of credit scoring models for unbanked individuals from 50% to 95% using ensemble learning and Python-based model tuning.

Machine Learning Python Geospatial Credit Scoring RAG Based Dashboards Streamlit

Management Trainee – Data Analyst

I&M Bank

Nov 2022 - Present (2 years 9 months)

Played a key role in the implementation of WhatsApp Banking AI automation, enhancing customer service access and reducing average handling time by 35%. Developed data strategy and visibility dashboards for the I&M Foundation using Power BI, contributing to a 30% uplift in donor engagement.

Automation Power BI Data Strategy Regulatory Compliance Customer Service Data Analysis

Independent NLP Data Labeler

Remote Contractor

Nov 2018 - Present (6 years 9 months)

Conducted high-accuracy NLP data labeling and quality assurance for AI training pipelines used in sentiment analysis and chatbot development. Improved dataset reliability by implementing semi-automated data cleaning scripts in Python, boosting annotation accuracy by 15%.

NLP Data Labeling Quality Assurance AI Training Chatbot Development Python Data Cleaning Annotation Accuracy

Education

Degrees, certifications, and relevant coursework

WorldQuant University

Data Science, Data Science

2021 -

Currently pursuing a degree in Data Science. This program focuses on advanced data analysis, machine learning, and statistical modeling techniques.

Multimedia University of Kenya

BSc Actuarial Science, Actuarial Science

2021 - 2021

Completed a Bachelor of Science in Actuarial Science. The curriculum covered risk assessment, financial mathematics, and statistical analysis relevant to the insurance and finance industries.

Moringa School

Software Engineering, Software Engineering

2017 - 2020

Studied Software Engineering, gaining expertise in programming languages, software development methodologies, and system design. This program provided a strong foundation in building robust and scalable software solutions.