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Ms.Sneha Tapre

Assistant Professor
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING



B.E. Computer Engineering
M.E. Computer Engineering
Course Title Material URL
Analysis of Algorithms View Material
Data Structure View Material
Discrete Structures and Graph Theory View Material
Object Oriented Programming and Methodology View Material
From Date To Date Designation Organization Organization Address
2013-07-09 2014-04-30 Software Test Engineer Maxgen Technologies Navi Mumbai
2016-08-01 2017-06-30 Digital Marketing Executive Netscribes (India) Pvt. Ltd. Mumbai
2017-07-14 2018-05-31 Assistant Professor DMCE Navi Mumbai
2018-07-02 2022-04-29 Digital Marketing Specialist Market Research Navi Mumbai
Date Title Type Level Academic Year
2016-10-10 MADM(Multi attribute decision making) Approach to Select Network In Heterogeneous Wireless Environment. Journal International 2016
2016-10-10 Network Selection in Heterogeneous Wireless Environment Using SAW(Simple Additive Weighting) Method Journal International 2016
Date Title Type Level Role Venue
2024-02-24 FDP on Empowering Research: A Guide to Leveraging OpenAI Tools for Scientific Inquiry Faculty Development Program Participant SIESGST,Nerul
2024-03-28 FDP on Teaching Through Case Study on 28th March 2024 at SIES College Of Management Studies Faculty Development Program Participant SIES,Nerul
Academic Year Type Details
2021-2022 Personal Completed Udemy Course on "Python for Data Science and Machine Learning Bootcamp"
2021-2022 Personal Completed Udemy Course on "Python and Flask Bootcamp: Create Websites using Flask"
2020-2021 Personal Completed Udemy Course on "Complete Python Bootcamp"
2017-2018 Personal Udemy Course on "Ultimate Google Ads Training : Profit with Pay Per Click"
2017-2018 Personal Udemy Course on "Facebook Ads & Facebook Marketing Mastery "
2016-2017 Personal Udemy Course on "Complete Digital Marketing Course"
2016-2017 Personal Udemy Course on "SEO: Complete SEO Training + SEO for WordPress Websites"
2023-2024 Personal Received Elite Certificate by NPTEL In "Python for Data Science"

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