Machine Learning

Plasmid, a technology‑driven organization focused on advanced analytics, AI, and machine learning solutions.

• Completed a Machine Learning internship with hands‑on exposure to fraud detection and predictive modeling.
• Developed an "Online Payment Fraud Detection System", applying classification algorithms to identify fraudulent transactions.
• Performed feature engineering, model training, and evaluation, achieving high accuracy in fraud detection.
• Enhanced skills in Python, ML algorithms, and statistical analysis, contributing to real‑world problem solving.

Data Science with Python

AppSquadz, a leading IT solutions and consulting company delivering innovative digital products & training programs.

• Completed a Data Science with Python, applying core concepts of data preprocessing, visualization, and predictive modeling.
• Built and deployed an "Iris Data Prediction", implementing supervised machine learning algorithms with strong accuracy.
• Conducted exploratory data analysis (EDA) and applied statistical methods to derive meaningful insights from datasets.
• Build Up practical expertise in Python (pandas, NumPy, scikit‑learn) & professional project documentation.

Bachelor of Computer Applications

Grade: First class distinction.

Higher Secondary School

Grade: First class distinction.