A versatile Data Analyst is skilled in handling data, technical issues, and personnel support tasks in a distributed environment. Self-motivated and attentive with good interpersonal and problem-solving abilities. Offering 5+ years of experience. Command on Oracle SQL, PYTHON, POWER BI, POWER APPS, UNIX, EXCEL, SAS. Hands-on experience on a data visualization tool Microsoft Power BI, and a ticketing tool JIRA. Experience in ramping up the Issues with Technical and Analytical skills, ensuring on-time deliverables. My learning lies at the intersection of Math, Business, and Technology. I have contributed in every aspect of problem-solving. This includes problem scoping, design of solution space and communicating results to the clients. Analytical Tools / Programming: Python (Pandas, NumPy),MySQL, Hadoop, Oracle SQL, Java, Microsoft Excel, SAS, AWS, Crontab, LINUX, Shell Scripting. Analytical Techniques: Regression (Linear, Logistic), Decision Tree, Bootstrap Forest, Neural network, Deep Learning, KNN, Naive Bayes, Discriminant Analysis, Data Mining, Text Mining, Time-Series Forecasting, Model selection, Association Analysis, PCA, Cluster analysis, Data-Preprocessing, Data Manipulation, Data Exploration, Hypothesis Testing, Sampling, Probability Distributions, Math & Statistics, Data Structures, Algorithms. Math: Hypothesis Testing( z test, t test, paired t test, ANOVA, Chi Squared test etc.) Data Visualization: Excel VBA, Power Bi, Tableau. Database: Microsoft SQL Server, Oracle.