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Shraddha Sarode

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:


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



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


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