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Questions and Answers

What percentage of prediction accuracy was achieved using the Random Forest model in the churn analysis dashboard?

  • 95%
  • 85% (correct)
  • 75%
  • 90%
  • What was the reduction percentage in the churn rate achieved through data-driven insights?

  • 10%
  • 20%
  • 12%
  • 15% (correct)
  • Which position involved initiating a startup expo with a large number of participants?

  • NCC Cadet
  • Team leader in Eureka Business Case
  • Head at RIAC council (correct)
  • Advisor at SVNIT E-Cell
  • What scholarship was awarded that covered tuition fees and additional academic support?

    <p>FFE Scholar</p> Signup and view all the answers

    Which ranking did the individual achieve in the IBSC India competition?

    <p>India Rank 56</p> Signup and view all the answers

    What was the primary focus of Ritik Nama during his internship at the Indian Institute of Management, Udaipur?

    <p>Analyzing financial data and providing investment recommendations</p> Signup and view all the answers

    Which programming languages does Ritik Nama have proficiency in?

    <p>C++ and Python</p> Signup and view all the answers

    During his project on Instagram Fake Profile Detection, which classifier achieved the highest accuracy?

    <p>Random Forest</p> Signup and view all the answers

    In the Zomato Exploratory Data Analysis project, what key gap was identified?

    <p>35% gap in online ordering availability</p> Signup and view all the answers

    What was the outcome of Ritik's social media campaigns during his internship at TreZix Software?

    <p>Boosted CTR by 25% and custom button clicks by 30%</p> Signup and view all the answers

    Which soft skill is not listed as one of Ritik Nama's strengths?

    <p>Organizational Skills</p> Signup and view all the answers

    What type of recommendations did Ritik provide after analyzing the financial data?

    <p>Investment recommendations for underperforming subsidiaries</p> Signup and view all the answers

    Which frameworks does Ritik Nama utilize for data analysis and visualization?

    <p>Pandas and Numpy</p> Signup and view all the answers

    Study Notes

    Contact Information

    • Ritik Nama can be reached via phone at +91 6367085715, email at [email protected], or through his LinkedIn and GitHub profiles.

    Technical Skills

    • Proficient in programming languages like C++, Python, and SQL.
    • Has experience with data science frameworks like Pandas, Numpy, Matplotlib, Microsoft Excel, Power BI, and MySQL.
    • Passionate about data analytics, data visualization, and machine learning.
    • Possesses strong soft skills including collaboration, communication, analytical thinking, and problem-solving.

    Experience

    • Summer Intern at Indian Institute of Management, Udaipur (June 2023 – July 2023):
      • Analyzed financial data of over 1,600 subsidiaries across 21 companies.
      • Identified 20+ underperforming subsidiaries.
      • Delivered 4 strategic investment recommendations.
    • Summer Intern at Indian Institute of Management, Vishakhapatnam (May 2023 – June 2023):
      • Reviewed and analyzed 15 literature sources on corporate governance and digital entrepreneurship.
      • Researched 40+ global course structures to improve the Health Management curriculum.
    • Marketing Trainee at TreZix Software Private Limited (August 2022 – September 2022):
      • Managed 30+ social media campaigns.
      • Increased CTR by 25% and custom button clicks by 30%.

    Projects

    • Zomato Exploratory Data Analysis:
      • Analyzed over 17.5 million data points from Zomato.
      • Revealed a 35% gap in restaurants offering online ordering.
      • Identified potential revenue opportunities.
      • Developed 10+ visualizations highlighting trends in customer ratings, pricing, and popularity.
      • Used data to drive strategies for enhancing restaurant performance.
    • Instagram Fake Profile Detection:
      • Evaluated multiple classifiers for fake profile detection achieving various accuracies:
        • Logistic Regression: 82%
        • K-Nearest Neighbors: 79%
        • Decision Tree: 85%
        • Random Forest: 88%
        • SVM: 84%
      • Combined predictions using a Voting Classifier, achieving a final accuracy of 90%.
    • Predictive Churn Analysis Dashboard using Power BI:
      • Engineered a Power BI dashboard for telecom churn analysis.
      • Integrated SQL for data manipulation.
      • Achieved 85% prediction accuracy using Random Forest.
      • Reduced churn rate by 15% through data-driven insights and targeted retention strategies.

    Education

    • Sardar Vallabhbhai National Institute of Technology, Surat, Gujarat (Dec 2021 – Present):
      • Pursuing a degree in Electronics and Communication Engineering.

    Leadership

    • Advisor at SVNIT E-Cell:
      • Contributed to the formation of SVNIT E-Cell to drive entrepreneurship.
      • Analyzed and implemented funding strategies with faculty.
      • Mentored 50+ juniors in product management.
    • Head at RIAC council:
      • Initiated a startup expo with 2,000+ participants.
      • Offered funding opportunities and research talks for 300+ students.

    Awards & Achievements

    • National Cadet Corps (NCC):
      • Achieved top Alpha grade in ’C’ certificate during a 3-year tenure.
    • Eureka Business Case:
      • Spearheaded team to win a campus challenge with a startup pitch for Go-Stitch.
    • IBSC India Rank 56:
      • Ranked in top 100 nationally, qualifying for stage 3 in IBSC by Rao IIT Academy.
    • FFE Scholar:
      • Awarded a scholarship, covering tuition fees, living expenses, and additional academic support.

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