I am a Data Science enthusiast and a self-motivated individual with skills in statistical languages, Machine Learning, Text Analytics, Business Analytics, and Regression Analysis. I have worked on various projects during my Internship and on Job , Kaggle, Freelance, and other platforms and applied different techniques, machine learning algorithms on them. Visualization: Power BI , matplotlib, Seaborn, ggplot2.Machine Learning: Decision Tree, Random Forest, Linear Regression, Logistic Regression, SVM, KNN, Naïve Bayes, Regularization, Artificial Neural Network, Gradient Descent, Ensemble Learning, K-mean Clustering, Error Metrics, Cross-Validation, Performance Tuning. Text Mining: NLP (NLTK, Tokenizer, Vectorization, TF-IDF, Word Cloud, Sentiment Analysis)Statistics: Summarizing Data, Normal Distribution, Sampling, Sample Distributions Hypothesis Testing, Regression and Correlation, Multi Collinearity, Chi-square tests, ANOVA, Standardization/Z- score, NormalizationDatabase: MySQLI am proficient and comfortable with Python (Jupyter Notebook). I have the ability to work in different environments and provide data-driven solutions.Learning and enhancing skills in data science.Actively looking for opportunity anywhere in this field.