Python Software Developer Internship Entry level

• Analysis of data from multiple resources within the telecommunication inventory
• Review identify and verify active and nonactive assets.
• Conduct analysis and prepare supporting documentation to be used in the departments analysis and presentations.
• Develop and use automated tools to extract data from primary and secondary sources with knowledge of programming like Python.
• Removing corrupted data and fixing data and coding errors and related problems
• Strong Analytical skills and research capabilities.
• Developing and maintaining databases and data systems reorganizing data in a readable format
• Performing analysis to assess the quality and meaning of data.
• Using statistical tools to identify analyze and interpret patterns and trends in complex data sets could be helpful for the diagnosis and prediction.
• Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
• Analyzing local national and global trends that impact both the organization and the industry
• Preparing reports for the management stating trends patterns and predictions using relevant data
• Working with Engineers and management heads to identify process improvement opportunities propose system modifications and devise data governance strategies.
• Preparing final analysis reports for the stakeholders to understand the dataanalysis steps enabling them to take important decisions based on various facts and trends.

• Proven working experience as a Pythone Developer min 03months of experience.
• Proficiency in Microsoft Office applications including Word Excel etc..
• Strong analytical skills for review and interpretation of volumes of strong analytical skill.
• BS or B.tech in Computer Science Information Management.
• Planning and organizational skills to manage multiple assignments simultaneously and able to work in USA time zone.
• Experienced individual with a proficiency using Excel utilities (Pivot tables and Macros.
• Data cleaning and preparation Data analysis and exploration Statistical knowledge.
• Creating data visualizations Creating dashboards and reports.
• Excellent Writing and communication Skills

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