Analytic and process-oriented analyst looking for opportunities to incorporate my skills and training to help the company grow along with personal growth through hard work, attention to detail and good organizational skills. Clear knowledge of database types, research methodologies, data capture, curation, manipulation and visualization. Furnish insights, analytics to obtain results. Always motivated to learn, grow and excel in the industry.Professional Summary● Understanding of Statistics, Probability, Calculus and Linear Algebra.● Experience of Machine learning algorithms like Simple Linear Regression, MultipleRegression, Polynomial Regression, Logistic Regression, SVM, kNN, Naive Bayes,Decision Tree, Random Forest, AdaBoost, Gradient Boosting, XGBoost, K-fold crossvalidation, Grid Search, Random Search.● Skilled in Minimizing the cost function based algorithms like: Gradient Descent, StochasticGradient Descent and Batch Gradient Descent and Regularizing Linear Models with thehelp of Ridge, Lasso and Elastic Net.● Feature Engineering in Python – Missing value treatment, outlier handling, datatransformation, Feature Selection and reshaping data using Python packages likeNumpy, Pandas and Scikit Learn.● Data Visualization techniques with help of Matplotlib, Seaborn, Plotly● Good Knowledge of Bi tools like Tableau and Power bi.● Skilled in libraries like Numpy, Pandas, Matplotlib, Seaborn, Scikit Learn, etc.Technical Skills● Programming Languages: Python● Visualization Tools and Libraries: Basic understanding of Matplotlib, Seaborn, Tableau, Power bi● Framework : Flask● Data Scraping : Beautiful soup