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Work Experience
Senior Analyst
capgemini• November 2019 - December 2020
Being a Support Engineer for Microsoft Exchange and mailing services, I was working in a team of 4 Engineers and I was responsible for bridging the gap between the onshore and offshore segments of the project. Technical Aspect: 1. Management of end-to-end support process and support governance of managed IT services (Exchange). Held key responsibility for managing servers in Enterprise-wide disaster recovery tests. 2. Assisted in performing, monitoring, intervening, escalating, and communicating any issues having an impact on many aspects of the environment. Technologies used were Powershell, Microsoft Outlook, Microsoft Lync, and Proofpoint. 3. Supported customers by answering questions and guiding end-use. 4. Supported in troubleshooting of software systems and technology updates post-implementation. Completed quality assurance reviews to test data integrity and verify outcomes. Management Aspect: 1. I documented all phases of systems and software update and restoration projects. Reviewed and assessed networks to determine areas for improvement. 2. Provided knowledge transitions. 3. Documented SOPs and Incident Response documents. 4. I won several client appreciation medals during my entire job role.
Data Scientist
Industry Experience Monash University• August 2020 - November 2020
The Industry Experience project focuses on using IT for social good. I, as a Data Scientist, have worked in a self-managed Agile team to come up with a solution for Australian students who lack information on bushfires. We delivered a web-based product interactively containing bushfire-related data to provide valuable information about bushfires and recovery techniques to make it easier for the students to assimilate.
Data Science Intern
SummerFruit Australia (Study Melbourne)• June 2020 - July 2020
Being a Data science intern for Summerfruit Australia, my responsibilities were: 1. Worked alongside team members and leaders to identify analytical requirements and collect information to meet customer and project demands. 2. Created quarterly plans centered on meeting short- and long-term objectives by maximizing the impact of products. 3. Segmented all sorts of customers in the whole of Australia with analytics focused on marketing campaign optimization. 4. Reviewed business areas to strengthen analytics, enhance strategic planning, and support decision-making processes with solid data.
Data Scientist
DataDisca• May 2020 - June 2020
As a Data Scientist, I build an email client python script which send emails to the client about the performance of the system for every minute/hour/day according to client requirement. Additionally, did an exploratory analysis on the dataset provided by the client and explored all the possible predictors responsible and visualized the data using the folium map to get clear insights.
Education
Monash University
Data Science, MS• March 2019 - November 2020
Pursued Masters in Data Science and as a part of academics have undergone the following projects: 1. Learning Tableau, R shiny, D3 skills for visualization and data exploration project regarding YouTube statistics. 2. Bushfire analysis using Meteorological data. 3. Authorship profiling (Text Classification) 4. Building a recommender system. 5. Question Detector: Proposed Business and Data Model Project, An Artificial Intelligence (AI) based model trained via Machine Learning Techniques and Algorithms, to automatically detect whether a given sentence or text is a Question or not. 6. Investigated Natural Increase in Australia’s population, the analysis was performed using Python. 7. Rain Prediction using Big Data: applied different machine learning algorithms used to model, visualize & predict the possibility of rainfall in Australia.
Skills
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