Summary
Work History
Education
Skills
Websites
Accomplishments
LANGUAGES
Work Availability
Timeline
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John Jerry Gordon-Mensah

John Jerry Gordon-Mensah

Dunaújváros

Summary

Results-driven data scientist with a strong foundation in statistical analysis and machine learning, prepared to excel in challenging roles within the field. Proven track record of delivering impactful contributions through predictive modeling and data visualization during internship experiences, demonstrating effective application of theoretical knowledge. Highly adaptable team player, proficient in Python and R, with a strong ability to interpret complex data sets and collaborate effectively to achieve project goals. Committed to leveraging analytical skills to drive data-informed decision-making and enhance organizational outcomes.

Work History

Data Science Intern

British Airways
08.2024 - 10.2024

Work Experience

  • Applied advanced data analytics techniques—such as word clouds—to extract and analyze sentiment from customer reviews.
  • Performed comprehensive exploratory data analysis to identify patterns and trends, and used clear visualizations and reports to guide project direction.
  • Demonstrated expertise in data mining and sentiment analysis to deliver actionable business insights.
  • Developed predictive models to identify key factors driving purchasing behavior.
  • Improved machine learning algorithms by integrating data preprocessing and feature engineering techniques.
  • Utilized time series forecasting techniques to anticipate future sales trends, facilitating informed decisions on resource allocation.
  • Optimized machine learning models for improved prediction accuracy and performance.
  • Developed custom algorithms to solve unique challenges in data analysis and modeling.

Data Analytics & Visualization Intern

Accenture Hungary
02.2024 - 07.2024
  • Built an 87%-accurate predictive model for customer bookings, enhancing targeting and marketing efficiency.
  • Analyzed content trends across seven datasets, uncovering insights that informed strategic decisions for a hypothetical social media client.
  • Created engaging visuals and dashboards to communicate key findings, developing a PowerPoint deck and video presentation for internal and client stakeholders.
  • Completed a data simulation focused on data cleaning, modeling, and storytelling, further refining skills in data analysis and strategic insight delivery.
  • Supported staff members in their daily tasks, reducing workload burden and allowing for increased focus on higher-priority assignments.
  • Gained valuable experience working within a specific industry, applying learned concepts directly into relevant work situations.

Education

Bachelor of Science - Computer Engineering

University of Dunaújváros
09.2027

Skills

  • Python Programming
  • SQL
  • Machine Learning
  • Data Visualization
  • Machine learning

Python programming

R programming

Predictive modeling

Linear regression

Decision trees

Scikit-learn

Logistic regression

Natural language processing

Cross-validation

Support vector machines

SQL databases

Data wrangling

Model evaluation

Model selection

Random forests

Microsoft SQL server

Neural networks

Data modeling design

Big data analytics

Feature engineering

Image processing

Anomaly detection

PostgreSQL

Network analysis

Deep learning

Team building

Decision-making

Statistical analysis

Excellent communication

Time management

Multitasking Abilities

Analytical thinking

Teamwork and collaboration

Organizational skills

Interpersonal communication

Data science research methods

Large dataset management

Data repositories

Data governance

Data programming

Relationship building

Attention to detail

Active listening

Problem-solving

Data operations

Data acquisitions

Teamwork

Problem-solving abilities

Reliability

Critical thinking

Team collaboration

Effective communication

Adaptability and flexibility

Collaborative teamwork

Task prioritization

Self motivation

Data-driven decision making

Interpersonal skills

Goal setting

Accomplishments

  • Predictive Model Success: Enhanced marketing efficiency by 20% with predictive model achieving 87% accuracy.
  • Trend Analysis Impact: Improved customer insights by analyzing trends across seven datasets for strategic decisions.
  • Sales Forecast Improvement: Increased sales forecast accuracy by 15% using time series techniques for resource allocation.
  • Visual Communication Enhancement: Developed insightful visuals, boosting presentation engagement by 25% for stakeholders.

LANGUAGES

Hungarian: Intermediate
English: Native

Work Availability

monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Timeline

Data Science Intern

British Airways
08.2024 - 10.2024

Data Analytics & Visualization Intern

Accenture Hungary
02.2024 - 07.2024

Bachelor of Science - Computer Engineering

University of Dunaújváros
John Jerry Gordon-Mensah