Podcast
Questions and Answers
What percentage of prediction accuracy was achieved using the Random Forest model in the churn analysis dashboard?
What percentage of prediction accuracy was achieved using the Random Forest model in the churn analysis dashboard?
What was the reduction percentage in the churn rate achieved through data-driven insights?
What was the reduction percentage in the churn rate achieved through data-driven insights?
Which position involved initiating a startup expo with a large number of participants?
Which position involved initiating a startup expo with a large number of participants?
What scholarship was awarded that covered tuition fees and additional academic support?
What scholarship was awarded that covered tuition fees and additional academic support?
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Which ranking did the individual achieve in the IBSC India competition?
Which ranking did the individual achieve in the IBSC India competition?
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What was the primary focus of Ritik Nama during his internship at the Indian Institute of Management, Udaipur?
What was the primary focus of Ritik Nama during his internship at the Indian Institute of Management, Udaipur?
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Which programming languages does Ritik Nama have proficiency in?
Which programming languages does Ritik Nama have proficiency in?
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During his project on Instagram Fake Profile Detection, which classifier achieved the highest accuracy?
During his project on Instagram Fake Profile Detection, which classifier achieved the highest accuracy?
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In the Zomato Exploratory Data Analysis project, what key gap was identified?
In the Zomato Exploratory Data Analysis project, what key gap was identified?
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What was the outcome of Ritik's social media campaigns during his internship at TreZix Software?
What was the outcome of Ritik's social media campaigns during his internship at TreZix Software?
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Which soft skill is not listed as one of Ritik Nama's strengths?
Which soft skill is not listed as one of Ritik Nama's strengths?
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What type of recommendations did Ritik provide after analyzing the financial data?
What type of recommendations did Ritik provide after analyzing the financial data?
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Which frameworks does Ritik Nama utilize for data analysis and visualization?
Which frameworks does Ritik Nama utilize for data analysis and visualization?
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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
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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.
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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.
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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
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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.
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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%.
- Evaluated multiple classifiers for fake profile detection achieving various accuracies:
-
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
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Sardar Vallabhbhai National Institute of Technology, Surat, Gujarat (Dec 2021 – Present):
- Pursuing a degree in Electronics and Communication Engineering.
Leadership
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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.
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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.
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Eureka Business Case:
- Spearheaded team to win a campus challenge with a startup pitch for Go-Stitch.
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IBSC India Rank 56:
- Ranked in top 100 nationally, qualifying for stage 3 in IBSC by Rao IIT Academy.
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FFE Scholar:
- Awarded a scholarship, covering tuition fees, living expenses, and additional academic support.
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