V

Viraj Khanna

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National Capital Territory of Delhi, India

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Résumé


Jobs verified_user 0% verified
  • S
    Data Analyst Intern
    Spyne.ai
    Oct 2024 - Current (2 years 1 month)
    • Cleaned and processed large datasets using Python libraries such as Pandas and NumPy, and SQL, improving data accuracy by 95%. • Developed interactive reports and dashboards in Tableau and Power BI, enhancing decision-making speed by 30%. • Automated data workflows in Google Sheets and Excel, reducing manual work by 40%. • Collaborated with 5+ cross-functional teams to provide data-driven recommendations, leading to a 20% improvement in efficiency.
Education verified_user 0% verified
  • D
    Bachelor of Technology (B.Tech)
    Dr. Akhilesh Das Gupta Institute of Technology and Management (ADGITM)
    Dec 2020 - Jul 2024 (3 years 8 months)
Projects (professional or personal) verified_user 0% verified
  • Forage
    BCG Data Science Remote Job Certificate
    Forage
    Aug 2024 - Sep 2024 (2 months)
    • Completed a customer churn analysis simulation for PowerCo Analytics, demonstrating advanced data analytics skills, identifying key client data, and outlining a strategic investigation approach.
    • Conducted in-depth analysis of customer behavior data using Python, Pandas, and NumPy, identifying key trends and patterns that led to a 10% increase in customer retention rates.
    • Completed the engineering and optimization of a random forest model, achieving an 85% accuracy rate in predicting customer churn.
    • Completed a concise executive summary for the Associate Director, delivering actionable insights for informed decision-making based on
    the analysis.
  • Coursera
    Google Data Analytics Professional Certificate
    Coursera
    Apr 2023 - Oct 2023 (7 months)
    • Utilized advanced data visualization techniques to present key insights from large datasets, resulting in a 30% increase in efficiency in
    decision-making processes.
    • Developed complex predictive models using machine learning algorithms in Python, resulting in a 20% improvement in forecasting
    accuracy for sales projections.
    • Collaborated on a project to streamline data collection processes, reducing data processing time by 25%.