D

D Rasool Babu

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Andhra Pradesh, India
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Résumé

Jobs verified_user 0% verified
  • Sagility
    Senior Process Consultant
    Sagility
    Nov 2018 - Current (8 years)
Education verified_user 0% verified
  • S
    DSML course
    Scalar Academy
    Sep 2022 - Current (4 years 2 months)
  • Rayalaseema University
    M.B.A
    Rayalaseema University
    Jun 2012 - Current (14 years 5 months)
  • S
    B. Com (comp)
    S.K University
    Jun 2008 - Current (18 years 5 months)
Projects (professional or personal) verified_user 0% verified
  • T
    Target Data Exploration and Visualization
    Apr 2024 - Current (2 years 7 months)
    • Analyze the data and generate insights that could help to produce and how they can grow the business in different countries. Solution: Data Exploration and Cleaning, Descriptive Analysis, Content Trends, Audience Preferences, Market Expansion. Recommendations: • Based on the insights gathered from the analysis, provide recommendations for Netflix. This may include: • Suggestions for producing content in popular genres or genres with potential for growth. • Recommendations for targeting specific countries or regions based on content preferences. • Strategies for improving content quality and audience engagement. Impact on Business: ◦ Implement the recommendations and monitor key performance indicators (KPIs) over time to assess the
  • T
    Target Descriptive Statistics & Probability
    May 2023 - Jan 2024 (9 months)
    • To provide a better recommendation of the treadmills to the new customers. Solution: Data Collection, Data Preprocessing, Descriptive Analytics, Compute Conditional and Marginal Probabilities Insights and Impact on The insights derived from the descriptive analytics and contingency tables can have several impacts on the business: • Tailored Marketing: Can use this information to tailor marketing campaigns to specific customer segments, increasing the likelihood of conversion. • Product Development: Insights into customer preferences can inform future product development and design. • Inventory Management: Can optimize inventory based on the popularity of different products in different regions. • Customer Experience: Understanding cu
  • T
    Target MySQL
    Jan 2022 - Current (4 years 10 months)
    • Review the various dimensions of the given dataset and how to improve the revenue. Solution: Data Preprocessing, Exploratory Data Analysis (EDA), Customer Segmentation, Pricing Strategy Analysis, Order Processing Efficiency, Payment and Freight Analysis, Customer Satisfaction Analysis, Geographic Analysis, Time Series Analysis Recommendations: • Based on the insights gained from the analysis, provide actionable recommendations for Target's • Prioritize recommendations that can have the most significant impact on efficiency, customer satisfaction, and profitability. Impact By following this structured approach, Target can gain valuable insights into its operations, optimize processes, and make data-driven decisions to enhance its perfor