• Self-motivated and result-oriented professional with keen interest in the field of data science and management techniques. • Able to interpret valuable insights to make business decisions and having capability to mine data efficiently. • Passionate about learning new technologies using analytics to improve business. 3 F’s that can describe me perfectly : Focused Fast-learner Flexible Skills and Competencies: • Tools and Languages- Python, Pyspark, Databricks, AWS, RStudio, Hive, SQL, Tableau, SAS JMP, SAS Base, Excel, Visio, MS Project, NetBeans, Arduino, PowerBI, SQLite, Visual Studio • Statistical Techniques- Linear Regression, Logistic Regression, K-means clustering, Decision Trees, Random Forest, Bootstrapping, Boosting, Cross Validation, Hypothesis Testing, Data Cleaning, Data Mining, Text mining, Natural Language Processing • Database Management - Oracle 11g, MySQL, Entity Relationship Diagrams • Project Management - Gantt Chart, PERT Chart, Work-Breakdown Structure, Failure modes and effects analysis(FMEA), Project Budgeting and Cost Control, Project Cost Estimation, Quantitative and Qualitative Risk Analysis and Response Plan, Quality Management, Project portfolio Management