Sanjay Tallolli Email and Phone Number

Data Science enthusiast and self-motivated individual with skills in Statistics, Machine Learning, Text Mining, Business Analytics and Regression Analysis. Knowledge of CRISP-DM Methodology, CART/CHAID segmentation, Descriptive and Inferential Statistics, Summarizing Data, Normal Distribution, Sampling, Sample Distributions Hypothesis Testing, Bayesian models, Correlation, Multi Co-linearity, Chi-square tests, ANOVA, Standardization/Z- score, Normalization, Data&Text Mining, Data Visualizations and Creating Dash Boards using Tableau. Knowledge of Python Frame works like Pandas, Numpy ,Matplotlib and Scikit-Learn.Machine Learning : Linear Regression, Logistic Regression, Multiple Linear Regression, Decision Tree, Random Forest, SVM, KNN, Naïve Bayes, Regularization, Artificial Neural Network, Gradient Descent, Ensemble Learning, K-mean Clustering, Error Metrics, Cross Validation, Hyper Parameter Tuning.Skill Sets:• Analysis Tools : [R Studio], [Python Jupyter notebook], [MS Excel]• Programming : [R programming], [Python Scripting], [SQL] • Databases: [MS SQL], [MongoDB]• Visualization: [Tableau], [ggplot2], [Shiny], [ggvis], [Matplotlib], [Seaborn]• Version control: [Git] and [Github]• Microsoft Packages: [MS Excel VBA], [MS Word], [MS PowerPoint]Learning and enhancing skills in Data science and AI. Actively Looking for an opportunity to grow in Analytics & AI field with multidisciplinary teams and multicultural environments.Contact Details:Github url : https://github.com/sanjaytallolliEmail Id