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Ritik Nama +91 6367085715 | [email protected] | LinkedIn | ‡ GitHub Technical Skills ◦ Languages: C++, Python, SQL ◦ Framework: Pandas, Numpy, Matplotlib, Microsoft Excel, Power BI, MySQL ◦ Interests: Data Analytics, Data Visualization, Machine Learning ◦ So...

Ritik Nama +91 6367085715 | [email protected] | LinkedIn | ‡ GitHub Technical Skills ◦ Languages: C++, Python, SQL ◦ Framework: Pandas, Numpy, Matplotlib, Microsoft Excel, Power BI, MySQL ◦ Interests: Data Analytics, Data Visualization, Machine Learning ◦ Soft Skills: Collaboration, Effective Communication, Analytical Thinking, Problem-Solving Experience Indian Institute of Management , Udaipur Udaipur Summer Intern | Advisor: Prakash Satyavageeswaran june 2023 – july 2023 Analyzed financial data from 1,600+ subsidiaries across 21 companies. Pinpointed 20+ underperforming subsidiaries and delivered 4 strategic investment recommendations. Indian Institute of Management, Vishakhapatnam Remote Summer Intern | Advisor: Dr. Sushil Kumar | Report May 2023 – June 2023 Reviewed and analyzed 15 literature sources on corporate governance and digital entrepreneurship. Researched 40+ global course structures, improving the Health Management curriculum. Intern at TreZix Software Private Limited Surat Marketing Trainee August 2022 – September 2022 Managed 30+ social media campaigns, boosting CTR by 25% and custom button clicks by 30%. Projects Zomato Exploratory Data Analysis | GitHub Analyzed over 17.5 million data points from Zomato, revealing a 35% gap in restaurants offering online ordering and identifying potential revenue opportunities. Developed 10+ visualizations that highlighted key trends in customer ratings, pricing, and popularity, driving data-driven strategies to enhance restaurant performance. Instagram Fake Profile Detection | GitHub Evaluated multiple classifiers, achieving accuracies of 82% with Logistic Regression, 79% with K-Nearest Neighbors, 85% with Decision Tree, 88% with Random Forest, and 84% with SVM to detect fake profiles. Enhanced detection performance by combining predictions using a Voting Classifier, which achieved a final accuracy of 90%. Predictive Churn Analysis Dashboard using Power BI | GitHub Engineered a Power BI dashboard for telecom churn analysis, integrating SQL for data manipulation and achieving 85% prediction accuracy with Random Forest. Reduced churn rate by 15% through data-driven insights and targeted retention strategies. Education Sardar Vallabhbhai National Institute of Technology Surat, Gujarat Electronics and Communication Engineering Dec 2021 – Present Leadership Advisor at SVNIT E-Cell: Contributed to the formation of SVNIT E-Cell to drive entrepreneurship, analyzed and implemented funding strategies with faculty, and mentored 50+ juniors in product management. Head at RIAC council : Initiated a startup expo with 2,000+ participants, offering 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.