chukwunonso
otekeiwebia

summary

I am a Dynamic professional with a solid foundation in banking and two years of experience in data analysis and client services. Eager to leverage advanced analytical skills in data science. Proficient in data analysis, statistical modeling, and data visualization tools, with a demonstrated ability to extract valuable insights from complex datasets. Seeking a challenging opportunity to apply my competencies in data science and analytics, contributing to innovative solutions and driving business success.

Experience

Data Glacier
Data Science Internship 2024

    • Increased collaboration efficiency by 20% through proficiency in using Git for managing code repositories. Implemented Flask framework to deploy ML models into production, reducing deployment time by 30%.
    • Enhanced data processing efficiency by 25% through data wrangling, preprocessing, and exploratory data analysis using Excel, Power BI, and data transformation with DAX and Through the use of python function
    • Resolved data analysis and model development challenges by proposing solutions, leading to a 15% improvement in project timelines.
    • Contributed to feature engineering, improving model performance and interpretability by 40% through the selection and creation of new features.
    • Improved data manipulation and reporting efficiency by 30% through proficiency in SQL, specifically PostgreSQL, and SQL querying tools.

Globus Bank Nigeria
Data Analyst 2022

    • Applied advanced statistical analysis and predictive modeling techniques to forecast payment volumes and trends, enabling proactive resource allocation and strategic planning, resulting in a 15% increase cost savings.
    • Utilized data analysis tools and techniques to conduct comprehensive assessments of account usage patterns, transaction frequencies, and identification of transaction errors, contributing to improved customer satisfaction metrics.
    • Utilized data analysis tools and techniques to conduct comprehensive assessments of account usage patterns, transaction frequencies, and identification of transaction errors, contributing to improved customer satisfaction metrics.
    • Developed and maintained interactive reports and dashboards to monitor key payment processing metrics, enabling real-time decision-making, and improving operational transparency by 30%.
    • Conducted in-depth analysis of transactional data to proactively identify fraudulent activities, errors, or operational inefficiencies, resulting in a 50% reduction in fraudulent transactions and a 25% increase in operational efficiency
    • Performed analysis on data from CRM to ascertain the degree of customer satisfactions and service rating.
    • produced timely comprehensive reports incorporating visual representations to convey data insights effectively
    • Collaborated closely with cross-functional teams, including operations, risk management, and compliance, to address complex payment-related challenges, facilitating knowledge sharing and alignment of strategies, leading to a 20% reduction in payment processing time.

Certificates

  1. Master of Science (MSc.) Economics, University of Liverpool Management School 2023, (Vice-Chancellor’s International Attainment Scholarship)
  2. Oduduwa University Ipetumodu, Osun State Bachelor of Science (B.Sc.) Economics (First Class Hons.)
  3. Utiva | Binance Data Science Academy
  4. IBM Data Science Professional (in view)