AROOP DEY

A goal-oriented professional offering more than 18 months of experience as System Administrator and 4 months of exposure as Process Executive. Comprehensive knowledge in Python Programming, Data Science and Analytics. Attended various trainings on Python, Tableau, Data Science and Machine Learning algorithms. Skilled in managing operations, multi-tasking, focusing on maximizing client satisfaction & process compliance. In-depth exposure to on-time service delivery and quality & processes improvement and reporting functions. Proven success in achieving client delight by implementing best practices; implemented several process improvement initiatives to achieve maximum efficiency in various operations. Keen Analyst with proven background in providing data-driven, action-oriented solutions to challenging business problems. A team player with more than satisfactory interpersonal skills; capable of collaborating across organizational boundaries, embracing change, working in matrix management arrangements, while being deployed to different teams and projects.

• Received certificate for securing 2nd position in a workshop on Electrical and Electronics Devices organized by Department of Electrical and Electronics Engineering of Silicon Institute of Technology
• Secured 1st class in the Talent Search Examination conducted by the Association of Odisha I.C.S.E Schools

• Data Science & Analytics
• Linear/Logistics Regression
• Statistical Analysis
• Data Mining & Insights
• Data Visualization
• Data-set Management
• Cross-functional Coordination
• Client/Stakeholder Management
• System Troubleshooting Skills and System Administrator roles

• 2017, 2021, prepared and applied for government jobs examinations.
• 2020, 2022, enhanced my skills through relevant courses to gain qualifications and expertise in my desired field.

• Python: The Complete Python Bootcamp from 365 Careers and Udemy
• The Data Scientist Course 2020: Complete Data Science Bootcamp online course from 365 Careers and Udemy
• Linear regressions using Stats models and Sklearn Libraries in python
• Logistic regression using Stats models Library in python
• Cluster Analysis using K-means cluster in python
• Deep Learning using TensorFlow 2.0 in python
• Tableau Public for data visualization
• Ms Excel for calculating confidence Intervals and dealing with hypothesis
• Microsoft-Preparing data for Analysis with Microsoft Excel from Coursera
• Microsoft-Harnessing the Power of Data with Power BI from Coursera
• Microsoft-Extract, Transform and Load Data in Power BI from Coursera