Summary
Work History
Education
Skills
Websites
Professional Affiliations
Research and Publications
Timeline
Generic

Md Boktiar Nayeem

Buffalo,NY

Summary

Dynamic Business Analyst with a proven track record at Fareda LLC, where I enhanced data-driven decision-making through advanced predictive modeling and effective business process improvement. Expert in transforming complex data into actionable insights using Tableau, I significantly contributed to optimizing operational efficiencies. Skilled in both technical analyses and collaborative project management, I drive results that matter. Creative Business Analyst with broad-based background in highly competitive and dynamic organizations. Recognized as decisive leader and excellent team player. Committed to forming strong, productive teams.

Work History

Demographics Researcher and Junior Analyst

Fareda LLC
Buffalo, NY
02.2025 - Current

Built visualizations that enabled users to quickly interpret results from complex analyses.

  • Leveraged SQL queries to extract, transform, and load data into databases.
  • Generated reports and obtained data to develop analytics on key performance and operational metrics.
  • Implemented new data analysis methodologies and data visualization techniques.
  • Developed dashboards with Tableau to monitor key performance indicators.
  • Created databases for tracking research activities and results.

Education

Bachelor of Laws - Law

Leading University
Sylhet, Bangladesh
12-2019

Master of Science - Business Analytics

Trine University
Angola, IN

Skills

  • Predictive modeling
  • Cost-benefit analysis
  • Business process improvement
  • Gap analysis
  • Data mining
  • Data visualization
  • Reporting and documentation

Professional Affiliations

  • Member of the International Institute of Business Analysis(IIBA)

Research and Publications

  • Exploring the LCC hypothesis in the nordic region: the role of AI innovation, environmental Taxes, and financial accessibility via panel ARDL
  • Deep Learning for Enterprise Decision-Making: A Comprehensive Study in Stock Market Analytics
  • Assessing the impact of private investment in AI and financial globalization on load capacity factor: evidence from United States
  • Credit Risk Prediction Using Explainable AI
  • Assessing the Effectiveness of Machine Learning Models in Predicting Stock Price Movements During Energy Crisis: Insights from Shell's Market Dynamics
  • Machine Learning-Based Prediction of US CO2 Emissions: Developing Models for Forecasting and Sustainable Policy Formulation

Timeline

Demographics Researcher and Junior Analyst

Fareda LLC
02.2025 - Current

Bachelor of Laws - Law

Leading University

Master of Science - Business Analytics

Trine University