
Deep Sojitra Ms
As an experienced Data Analyst with a proven track record of success, Deep has spent the last three... | North Brunswick, New Jersey, United States
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Deep Sojitra Ms’s Emails so****@mo****.edu
Deep Sojitra Ms’s Phone Numbers No phone number available.
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Deep Sojitra Ms’s Location North Brunswick, New Jersey, United States
Deep Sojitra Ms’s Expertise As an experienced Data Analyst with a proven track record of success, Deep has spent the last three years utilizing his expertise in SQL, Python, Tableau, PowerBI, and other relevant tools to analyze large datasets and identify key trends and insights. His ability to develop strategies and design new partnership and accreditation processes that optimize operational efficiency, drive growth, and improve profitability has resulted in reduced software implementation time and improved testing efficiency through automation. Collaborating closely with diverse teams and stakeholders, Deep utilizes his strong communication, leadership, and adaptability skills to drive successful project outcomes. His experience as a Software and Applications Consultant at Capgemini in New York, NY, has allowed him to demonstrate proficiency in SQL, Python, Tableau Prep, and Power Query, transforming and normalizing large datasets to find insights and tell stories using data. As a Business Consultant - Data Analyst at Pro Unlimited, Deep conducted extensive data analysis using SAS, SQL, Python, Tableau, PowerBI, and other BI tools to identify opportunities for operational efficiency, growth, and profitability. He has also served as an Adjunct Professor at Montclair State University and a Graduate Assistant, demonstrating his ability to foster an engaging and supportive learning environment, mentor and advise students, facilitate classroom discussions, and prepare students for leadership roles in business. With core competencies in leadership, business intelligence, PLM applications, client management, data visualization, cloud computing, project management, SQL/NoSQL, reporting, problem-solving, data analysis, agile methodology, Python, R & VBScripts, scrum, software testing, and continuous learning, Deep is a highly skilled professional who is always seeking new challenges and opportunities to grow and expand his expertise.
Deep Sojitra Ms’s Current Industry Urbansoft
Deep
Sojitra Ms’s Prior Industry
Temple University
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Sei
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Montclair State University
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Optima Global Solutions
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Pro
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Capgemini
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Urbansoft
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Work Experience

Urbansoft
Senior Business Analyst
Mon Jan 01 2024 00:00:00 GMT+0000 (Coordinated Universal Time) — Wed May 01 2024 00:00:00 GMT+0000 (Coordinated Universal Time)
Urbansoft
Data Analyst
Sat Jul 01 2023 00:00:00 GMT+0000 (Coordinated Universal Time) — Wed May 01 2024 00:00:00 GMT+0000 (Coordinated Universal Time)
Capgemini
Software Automation Engineer
Tue Nov 01 2022 00:00:00 GMT+0000 (Coordinated Universal Time) — Tue Aug 01 2023 00:00:00 GMT+0000 (Coordinated Universal Time)
Capgemini
Product Lifecycle Management Consultant
Tue Feb 01 2022 00:00:00 GMT+0000 (Coordinated Universal Time) — Tue Nov 01 2022 00:00:00 GMT+0000 (Coordinated Universal Time)
Montclair State University
Adjunct
Wed Sep 01 2021 00:00:00 GMT+0000 (Coordinated Universal Time) — Thu Dec 01 2022 00:00:00 GMT+0000 (Coordinated Universal Time)
Pro
Business Consultant/ Data Analyst
Mon Feb 01 2021 00:00:00 GMT+0000 (Coordinated Universal Time) — Sat Jan 01 2022 00:00:00 GMT+0000 (Coordinated Universal Time)
Optima Global Solutions
Data Analyst
Wed Jan 01 2020 00:00:00 GMT+0000 (Coordinated Universal Time) — Fri May 01 2020 00:00:00 GMT+0000 (Coordinated Universal Time)
Montclair State University
Graduate Assistant
Sun Sep 01 2019 00:00:00 GMT+0000 (Coordinated Universal Time) — Fri May 01 2020 00:00:00 GMT+0000 (Coordinated Universal Time)
Sei
Operations Data Analyst
Mon Jan 01 2018 00:00:00 GMT+0000 (Coordinated Universal Time) — Sat Sep 01 2018 00:00:00 GMT+0000 (Coordinated Universal Time)
Temple University
Tech Support at Temple University Library
Fri Jan 01 2016 00:00:00 GMT+0000 (Coordinated Universal Time) — Mon May 01 2017 00:00:00 GMT+0000 (Coordinated Universal Time)