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Data Science with less than a year in AI/ML, Python & Data Analytics.
Highly motivated and results-driven individual with a Master's in Artificial Intelligence & Machine Learning. Possessing a strong foundation in Python, Java, Data Analytics, and various testing methodologies. Eager to apply problem-solving skills and a keen eye for detail to real-world challenges, as demonstrated through academic projects like the AI-Based Tablet Counting System and Medical Insurance Cost Prediction Model.
Lovely Professional University
Master of Computer Applications · Artificial Intelligence & Machine Learning
August 1, 2024 – June 30, 2026
Sri Nagarjuna Degree College
Bachelor of Computer Applications
August 1, 2021 – June 30, 2024
Sri Chaitanya Junior College
Intermediate · BIPC
June 1, 2019 – May 31, 2021
HomeoCount – AI-Based Tablet Counting System
June 1, 2026 – June 30, 2026
Developed a computer vision system using YOLOv8 to automatically detect and count homeopathic tablets, addressing manual dispensing errors in pharmacies. Built a custom dataset of 719 images (9,855 annotations) via Roboflow and trained the model through transfer learning, achieving mAP@0.5 = 0.9778 and 97% accuracy. Deployed the model in a Flask/ONNX web app supporting live camera and image-upload detection on CPU. Recognized for novelty and inventiveness; the project has been filed for a patent.
Brain Bolt-Quiz Management System
April 1, 2025 – June 30, 2026
Designed and implemented a Java-based web application to manage quizzes, featuring user authentication, quiz creation, leaderboards, and a Smart Quiz Recommendation System. Gathered requirements and created process flows to enhance user experience, analyzing performance data (score, accuracy, time) for personalized recommendations. Collaborated with team to ensure system efficiency, leveraging Java, SQL, and problem-solving skills.
University Management System
October 1, 2024 – June 30, 2026
Designed and implemented a relational database using SQL Server Management Studio (SSMS). Managed data for students, courses, instructors, and departments. Utilized advanced SQL features like stored procedures, triggers, and transactions for efficient data handling.
Medical Insurance Cost Prediction Model
October 1, 2024 – June 30, 2026
Developed a predictive model using Linear Regression to estimate medical insurance costs. Analysed demographic and lifestyle factors for accurate cost prediction with an accuracy of 75%. Applied data analysis and visualization to extract meaningful insights for model optimization.
Python for Data Science
Saylor Academy
February 1, 2026 – Present
Prompt Builder Hackathon
AWS
February 1, 2025 – Present
Data Visualization Using Python
Cognitive Class
September 1, 2024 – Present
Data Analysis and Data Visualization
IBM
September 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying diverse technical skills, from database management to advanced AI. The 'HomeoCount' project, in particular, shows inventiveness and a drive for real-world impact, aligning well with an innovative and problem-solving culture. The pursuit of a Master's in AI/ML further indicates a commitment to continuous learning and specialization. However, the lack of professional experience means cultural fit in a corporate setting is yet to be fully proven.
Soft Skills & Operational Fit
The candidate lists problem-solving, attention to detail, communication, teamwork, and time management as soft skills. These are crucial for a Data Science role, especially in collaborative project environments. The project descriptions indicate an ability to work through complex problems and deploy solutions, suggesting a practical operational fit.