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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 (B)</p> Signup and view all the answers

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

<p>India Rank 56 (B)</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 (D)</p> Signup and view all the answers

Which programming languages does Ritik Nama have proficiency in?

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

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

<p>Random Forest (B)</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 (A)</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% (A)</p> Signup and view all the answers

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

<p>Organizational Skills (B)</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 (C)</p> Signup and view all the answers

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

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

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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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