Anjali Gajjar
Tech Intern at Accomation- Claim this Profile
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English Professional working proficiency
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Hindi Full professional proficiency
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Gujarati Native or bilingual proficiency
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Bio
⚡ Rushi Mistry
Anjali's expertise in data analysis helped us uncover key insights behind a major purchase drop. Her ability to transform data into valuable insights reduced the drop rate from 73.68% to 53.32%, making her contributions invaluable in addressing the issue.
⚡ Rushi Mistry
Anjali's expertise in data analysis helped us uncover key insights behind a major purchase drop. Her ability to transform data into valuable insights reduced the drop rate from 73.68% to 53.32%, making her contributions invaluable in addressing the issue.
⚡ Rushi Mistry
Anjali's expertise in data analysis helped us uncover key insights behind a major purchase drop. Her ability to transform data into valuable insights reduced the drop rate from 73.68% to 53.32%, making her contributions invaluable in addressing the issue.
⚡ Rushi Mistry
Anjali's expertise in data analysis helped us uncover key insights behind a major purchase drop. Her ability to transform data into valuable insights reduced the drop rate from 73.68% to 53.32%, making her contributions invaluable in addressing the issue.
Credentials
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Machine Learning & Deep Learning
Royal Technosoft Pvt LtdSep, 2022- Sep, 2024 -
Blockchain Basics
CourseraSep, 2020- Sep, 2024
Experience
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Accomation
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India
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Accounting
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1 - 100 Employee
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Tech Intern
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Sep 2023 - Present
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Arth Infosoft pvt. ltd.
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India
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IT Services and IT Consulting
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1 - 100 Employee
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Full-stack Developer
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Jan 2022 - Apr 2022
⭐ Developed the E-Commerce web application for the Gift shop. ⭐ Customer product listing, buying journey, login, order management, inventory, cart, order management features we added. ⭐ Developed the E-Commerce web application for the Gift shop. ⭐ Customer product listing, buying journey, login, order management, inventory, cart, order management features we added.
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BrainyBeam Technologies Pvt. Ltd.
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India
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Information Technology & Services
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1 - 100 Employee
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Intern
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May 2021 - Jun 2021
⭐ Developed Recommendation System to recommend the mobile application based on the past user's data. ⭐ Performed Sentimental Analytics on the customer comments data. ⭐ Developed Recommendation System to recommend the mobile application based on the past user's data. ⭐ Performed Sentimental Analytics on the customer comments data.
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Education
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Gandhinagar University
Master of Technology - MTech, Computer Software Engineering -
L.J. INSTITUTE OF ENGG AND TECH., AHMEDABAD 728
Bachelor of Engineering - BE, Information Technology