Summary
Work History
Education
Skills
Coursework
Projects
Timeline
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Farhan Ahmed Khan

Ann Arbor,MI

Summary

Driven and meticulous data analytics enthusiast looking for a demanding internship opportunity to use technical and analytical abilities in a fun and team-oriented setting. eager to contribute to a group that emphasizes creativity and making decisions based on facts.

Work History

Interns Data Analyst

Trine University
Indiana
  • Assisted in analyzing academic performance data to improve student outcomes
  • Developed visualizations to communicate key findings to stakeholders
  • Assisted in data collection, cleaning, and analysis for various projects
  • Collaborated with cross-functional teams to gather requirements and deliver actionable insights
  • Conducted exploratory data analysis to identify trends and patterns
  • Participated in the analysis of academic performance information to enhance student results
  • Created graphics to share important discoveries with interested parties
  • Helped with gathering, organizing, and analyzing data for a range of initiatives
  • Worked in concert with cross-functional teams to obtain needs and provide useful insights
  • In order to find patterns and trends, exploratory data analysis was done.

Education

Masters in Information Science -

Trine University

Bachelors in Commerce and computers -

Osmania University

Skills

  • Strong Analytical and Problem-solving Skills
  • Effective Communication and Collaboration
  • Attention to Detail
  • Time Management and Organization
  • Adaptability and Quick Learner
  • Python (Pandas, NumPy, Matplotlib)
  • SQL
  • MySQL
  • SQLite
  • Scikit-Learn
  • TensorFlow (basic)

Coursework

  • Data Analysis and Visualization
  • Statistical Methods in Data Science
  • Database Management Systems
  • Machine Learning Fundamentals
  • Business Intelligence

Projects

Diwali Sales Prediction Project, Develop a predictive model for Diwali sales using historical data for strategic business insights., Data Collection: Gather Diwali sales data from previous years. Data Cleaning: Cleanse and preprocess data to ensure accuracy. Feature Engineering: Identify key features affecting sales. Time Series Analysis: Understand sales trends and seasonality. Predictive Modeling: Employ machine learning for sales predictions. Visualization: Communicate insights through charts and graphs. Report: Summarize findings and provide actionable recommendations., Data cleaning and preprocessing, Feature engineering, Time series analysis, Machine learning modeling, Data visualization, Report writing

Timeline

Interns Data Analyst

Trine University

Masters in Information Science -

Trine University

Bachelors in Commerce and computers -

Osmania University

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Farhan Ahmed Khan