Nileshkumar Lavand

Data Science Intern

Almabetter•  March 2023 - Present

As a data science and analytics intern, I have: - Developed my skills in python programming and I am proficient in working with common python frameworks; Pandas, Numpy, Matplotlib, Seaborn, Scikit Learn - Developed technical understanding on working with SQL queries, analytical tools including; Excel, Power BI, and Tableau - Worked on understanding the use cases behind different statistical hypothesis tests including; Z-test, T-test, Chi-square test, ANOVA. And the math behind different ML techniques including; Gradient descent optimization, Bayes Theorem - Learned and worked on supervised machine learning algorithms; Linear regression, Logistic Regression, Decision trees, Bagging and Boosting, KNN, SVM, Naïve Bayes Classifier - Unsupervised learning; K-means Clustering, Hierarchical Clustering, NLP, Topic Modelling, Recommender systems (Collaborative, Content Based Filtering), Anomality Detection (Isolation Forests), Time Series Analysis (SARIMA family) - Deep learning; Neural Networks - ML model deployment