Anushka Jammihal

A motivated, driven, and organized master's graduate seeking an entry-level job opportunity in the Data Analytics sector. Eager to apply analytical and logical skills in various engagements and to expand personal knowledge and skills, while facilitating team and company growth.

• Predict Rainfall in Australia:

Predict next-day rain by training classification models like Logistic Regression on the target variable RainTomorrow with a score of 0.750., EDA, Feature Engineering, Confusion Matrix, ROC-AOC Curve, K-Fold Cross Validation, 90%, 0.8501

• Novozymes Enzyme Stability Prediction:

Participated in Kaggle competition and got ranked in top 10 percentile where more than 3000 teams were participated., 0.603, Linear Regression

• Feature Extraction for classifying students based on academic performance:

This paper helps in predicting the performance of a student before they take the course. To focus on the students that need this system the most, the prediction problem is formulated as a classification task. Complementary Groups of students are formed according to their course performance. The ones that are likely to complete a course and the ones that seem to struggle.

• Diabetes Prediction using Machine Learning:

Supervised Machine Learning algorithms like decision tree, random forest and SVM were applied to predict if patient has diabetes. Random forest gave the best accuracy of about 86.7% while predicting diabetes and about 89% of recall is achieved.