Aspiring Data Analyst
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Advika Kamlesh Sawant is a data-driven Computer Engineering student from the University of Mumbai, specializing in Artificial Intelligence and Machine Learning. With a stellar CGPA of 9.8/10, she combines strong academic excellence with practical, industry-oriented experience.
She has worked across multiple analytics and tech-driven organizations, including CareerNaksha, PeerBuddy, and MedTourEasy, where she applied statistical analysis, visualization, data cleaning, model building, and large-scale database management to solve real-world problems. Advika has hands-on experience analyzing data from 663 Jawahar Navodaya Vidyalayas, managing 17,000+ mentor profiles, and building digital health intelligence tools using machine learning and full-stack development.
Technically, she is proficient in Python, SQL, Power BI, Tableau, Pandas, NumPy, TensorFlow-Keras, PyTorch, OpenCV, and Next.js, enabling her to work seamlessly across data analytics, frontend development, and machine learning pipelines. Her projects, including MediGuard, Deep-Fake Detection System, and JNV Analytics, demonstrate her ability to integrate complex datasets, deploy predictive models, visualize insights, and build high-performance web applications.
Beyond academics and internships, she has held leadership roles such as Technical Head of the AIDL Club, where she contributed to AI-focused community initiatives. With strong problem-solving abilities, curiosity, and a passion for data-driven decision-making, Advika aims to build impactful solutions in the fields of data analytics, machine learning, and AI product development.
Advika has hands-on experience in data analysis, visualization, and machine learning across three organizations—CareerNaksha, PeerBuddy, and MedTourEasy. At CareerNaksha, she worked on large-scale education and psychometric data from 663 JNVs, uncovering key trends to support nationwide student guidance initiatives. During her internship at PeerBuddy, she managed and analyzed a database of 17,954 mentors, improving platform visibility by 20% and boosting mentor participation by 15% through data-driven algorithm enhancements.
At MedTourEasy, she strengthened her analytical foundations by conducting EDA, cleaning and preprocessing fitness datasets, and presenting statistical insights through visually rich Matplotlib graphs.
Her experience shows a strong ability to work with diverse datasets, extract meaningful insights, build dashboards, optimize systems, and support decision-making at scale—demonstrating both technical depth and real-world impact.
Advika is pursuing a Bachelor of Engineering in Computer Engineering with Honors in AI & ML from the University of Mumbai at Fr. C.
Institute of Technology, maintaining an exceptional CGPA of 9.8/10. Her academic foundation is strengthened by coursework in Data Mining & Warehousing, ADBMS, Data Science, AI, ML, Deep Learning, and Quantitative Analysis, giving her strong theoretical and practical grounding in data-driven technologies. This rigorous curriculum, combined with her hands-on projects and internships, equips her with advanced analytical, programming, and machine learning skills.
