Shraddha Sarode

Assistant Professor

Assistant Professor (Computer Science) & Program Chairperson – B.Sc. Data Science

Pursuing Ph.D., M.E. (Computer Engg.), B.E. (Information Technology)

Specialization: Python, SQL, Machine Learning, Data mining, DBMS

Areas of Specialisation

Python, SQL, Data Mining, Database Management System

Academic Experience

Program Chairperson (B.Sc. Data Science) School of Science, NMIMS since October 2021.
Assistant Professor (Computer Science), School of Science, NMIMS since September 2019.
Visiting faculty at School of Science and MPSTME, NMIMS Deemed to be University.
Assistant Professor (Computer Engineering), VCET, Mumbai.
Assistant Professor (Computer Engineering), SAKEC, Mumbai.
Assistant Professor (Information Technology), PVPPCOE, Mumbai.
Lecturer (Information Technology), DBIT, Mumbai.

Research Publication:

Review of Machine Learning Techniques for Detection of Routing Attacks in Wireless Sensor Network, Shraddha Sarode, International Journal of Computer Applications (IJCA), Vol. 183, No. 27, September 2021
Hybrid Dimensionality Reduction Approach for Web Page Classification, Shraddha Sarode, Jayant Gadge, International Conference on Communication, Information & Computing Technology, ICCICT, IEEE Explore, January 2015
Approach for Dimensionality Reduction in Web Page Classification, Shraddha Sarode, Jayant Gadge, International Journal of Computer Applications (IJCA), Vol. 99, No. 14, August 2014

Projects Guided:

Academic and Industry Internship projects for M.Sc. Applied Statistics & Analytics, M.Sc. Statistics, M.Sc. Statistics and Data Science
Academic projects for B.Sc. Applied Statistics & Analytics, B.Sc. Data Science
Mentor for COVID-19 Samadhan | MHRD Mega Innovation Challenge organized by Government of India
Mentor for kaggle competition project
Mentor of Smart India Hackathon 2018 organized by Government of India

Courses Taught:

Post-Graduate:

Statistical Computing IV (Practical based on Python), Statistical Computing with Python, Python for Data Analysis, Introduction to Machine Learning Techniques (IMLT), High Performance Data Mining (HPDM), Statistical Computing V (Practical based on HPDM/IMLT), Statistical Computing with worksheets

Under-Graduate:

Programming in C, Research Initiative in Data Science, Technology lab, Foundation of Computer Science, Functional Programming, Introduction to Programming, Data management, Database Management System, Introduction to Data Science

Courses Taught from previous experience:

Data Ware Housing and Mining, Machine Learning, Soft Computing, Digital Forensics, Operating System, Advanced Operating System, Network Programming Laboratory, Network Threats and Attacks Laboratory, Project Management, Information Theory and Coding, Advanced Database Management System, Open Source Technologies, Information Technology for Management of Enterprises

Workshops / Seminars (Attended):

Conducting a Literature Review: Organised by Clarivate
How to identify fake, predatory and cloned journals? by Dr. Sumit Narula
Writing Manuscripts and Research Proposals by Dr. M. P. Gururajan
Interdisciplinary research in medical science by Dr. Ambrish Dharmadhikari
Faculty Induction Program organized by SVKM's NMIMS
Instructor Led Training - Pedagogical skills for framing question papers organized by Dr. Seema Shah
ISTE approved STTP on Natural Language Processing & Deep Learning
AICTE-ISTE approved one week STTP on "Open Source Programming with Python & Perl” at VCET
Technical Series Talk on "Skill & Knowledge Enhancement Program” IEEE Bombay Section at SAKEC
ISTE approved two week STTP on "Advanced Web Programming and Cloud Computing” at TSEC
ISTE approved two week STTP on "Cloud Computing Technologies and Big Data Analytics” at SAKEC
ISTE approved one week STTP on "Open Source Software Tools for Engineering” at PVPP
FDP of two days on "Open Source Technologies” at TSEC

Webinars (Conducted)

Training 50+ people for MS Teams in the start of Pandemic for lecture scheduling and related activities.
Introduction of MS Forms and Teams Assignments to conduct internal exams.
Training for faculties, staff and students across campuses during pandemic for smooth execution of final university Examinations.

Faculty Development Programs:

Strategies to publish research articles in journals of reputed journals by Dr. Neetin Desai
Python for Research by Dr. Arvind Mathur and Dr. Toral Shah
Assurance of Learning by Dr. Ramesh Bhat

Other Activities:

Hosting the webinars of yearlong lecture series "My Statistics - My Story" (MSMS)
Preparation of technical platform for across campus conduction of final university examinations during pandemic.
Appointed as a member of Board of Studies in Statistics of R. J. College of Arts, Science and Commerce (Autonomous), Ghatkopar (W), Mumbai since July 2021.
Completed Online Coursera course, Neural Networks and Deep Learning: DeepLearning.AI
Completed Online Coursera course, Introduction to HTML5: University of Michigan
Completed NPTEL course on Database Management System
Completed RHCSA Exam Training on Udemy
Comparative study of forensic analysis of email

LinkedIn Profile

https://www.linkedin.com/in/shraddha-sarode-96b02480

Google Scholar Profile

https://scholar.google.com/citations?view_op=list_works&hl=en&user=xzZYNrkAAAAJ

Official Email Id

shraddha.sarode@nmims.edu

Official Phone No.

022-42355986