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IFEYINWA NWOBODO

IFEYINWA NWOBODO

Data Scientist

job seeker

Technologies

My Portfolio Highlights

My New Course

Introduction to Python

My New Course

Introduction to Python

Quantitative wordsmith, translating complex concepts into elegant equations.

My Work

Take a look at my latest work.

course

Data Manipulation with pandas

course

Introduction to Python

course

Intermediate Python

course

Data Manipulation with pandas

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Introduction to Power BI
Intermediate Python
Data Manipulation with pandas

My Work Experience

Where I've interned and worked during my career.

10Alytics | Sep 2024 - Present

Data Scientist

• Customer Segmentation for an NGO’s Fund Disbursement: Implemented a K-Means clustering model to categorize countries based on economic and social indicators, optimizing fund allocation strategies and influencing the NGO's decision-making process. This led to more effective resource distribution, improving fund targeting by 20%. • Loan Default Prediction: Developed a machine learning model using Logistic Regression and Random Forest to assess loan default risk. Conducted data cleaning, feature engineering, and exploratory data analysis (EDA), achieving 85% accuracy and recall, resulting in a 10% reduction in loan defaults. • British Airways Web Scraping & Customer Booking Prediction: Extracted customer reviews using BeautifulSoup and Selenium, performed sentiment analysis, and built a predictive model with 87% accuracy to determine booking likelihood based on browsing behavior. This improved target marketing customization, driving a 15% increase in booking conversion rates. • Car Detection with OpenCV & EasyOCR: Built a computer vision model using OpenCV and EasyOCR for vehicle detection in parking lots, improving surveillance efficiency. The real-time object detection pipeline accurately identified parked vehicles, contributing to improved parking management. • Developed a customer churn prediction model using Decision Tree Classifier, achieved 80% accuracy and increased retention by 15% through targeted customer engagement strategies.
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DataLab Analytics | Jan 2023 - Apr 2023

Data Scientist

• Diabetes Risk Prediction Model: Developed a predictive model using Logistic Regression and Random Forest to assess patient risk levels. Achieved 85% accuracy in predicting diabetes risk, contributing to preventive healthcare strategies and better-targeted interventions. • Customer Segmentation Model for a Retail Store: Created a K-Means clustering model to segment customers based on demographic and behavioral data. This segmentation led to a 20% increase in customer engagement and retention, optimizing targeted marketing campaigns. • Interactive Dashboards in Tableau: Built interactive Tableau dashboards to track key performance indicators (KPIs), customer behavior, and product performance, enabling executives to make data-driven decisions that increased revenue by 10%. • Managed and queried relational databases using SQL, ensuring efficient data storage, retrieval, and processing.

Access Bank Plc | Jan 2021 - Dec 2022

Customer Experience Analyst

• Analyzed customer feedback, surveys, and transaction data to identify pain points, leading to a 20% improvement in customer satisfaction scores. • Utilized CRM and data management systems to track customer queries, resolution times, and satisfaction scores, leveraging insights to drive operational improvements. • Developed and automated real-time customer experience dashboards in Tableau and Excel, enabling management to track key performance indicators (KPIs) across 25+ branches and enhance decision-making. • Conducted root cause analysis on customer complaints, reducing recurring service issues by 30% through process optimization. • Collaborated with product and customer service teams to implement data-driven solutions, reducing service resolution time by 25%. • Monitored Customer Satisfaction Index (CSI), identifying trends that influenced service strategy, resulting in a 15% increase in customer loyalty. • Provided insights to senior management on customer behavioral trends, influencing policy adjustments that enhanced banking experiences.

Access Bank Plc | Apr 2018 - Dec 2020

Dispute Resolution Officer

• Successfully resolved 95% of electronic banking disputes within T+2 days, minimizing customer dissatisfaction and revenue loss. • Investigated and processed 1,000+ transaction disputes monthly, ensuring compliance with CBN guidelines and regulatory standards. • Recovered over ₦50M in disputed transactions through prompt and thorough investigations, improving customer confidence. • Collaborated with IT and fraud teams to detect and prevent unauthorized transactions, reducing fraudulent claims by 30%. • Enhanced dispute resolution workflows, cutting resolution time by 30% and improving operational efficiency. • Provided advisory support to branches on e-business dispute resolution, leading to a 20% decrease in escalations. • Developed and implemented customer education initiatives on dispute prevention, reducing transaction errors by 15%.

Diamond Bank Plc | Apr 2015 - May 2018

Customer Service Executive

• Managed a portfolio of 500+ customers weekly, delivering personalized banking solutions and ensuring high customer satisfaction. • Resolved 90% of customer inquiries within the first interaction, improving service efficiency and reducing escalations. • Increased customer retention by 25% through proactive engagement, cross-selling financial products, and resolving service concerns. • Processed and authorized daily transactions, including fund transfers and account updates, reducing turnaround time by 30%. • Ensured compliance with banking regulations and security protocols, reducing fraud-related complaints by 20%.

My Education

Take a look at my formal education

Lagos State University

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