Academic Profile :

• Lifetime Membership @ ISTE

Paper Publications:

Journal Papers:

[6]  Priyanka Patil,“Campus Placement Prediction Using Machine Learning”, JETIR Journal, ISSN: 2349-5162, Volume: 11, Issue 4, April 2024.

[5]  Priyanka Patil,“Ride Nexus:Redefining travel through Decentralisation”, JETIR Journal, ISSN: 2349-5162, Volume: 11, Issue 5, May 2024.

[4]  Priyanka Patil, Madhuri Gedam, “Detection of Malware in PDF and Office Documents using Ensemble learning”, IJARCCE Journal, ISSN: 2319-5940, Volume: 12, Issue 11, November 2023.

[3] Priyanka Patil, Madhuri Gedam, “Approach for Detection of PE malware using ensemble learning and Deep Learning”, IJARCCE Journal, ISSN: 2319-5940, Volume: 12, Issue 4, April 2023.

[2] Priyanka Patil, Madhuri Gedam,“Malware Detection Using Machine Learning”, IJRAR Journal, ISSN: 2349-5138, Volume: 10, Issue 2, April 2023.

[1] Priyanka Tarmale,Shahista shaikh,Vinayak shinde,“Study of Mosix Software Tool for Cluster Computing in Linux”, IJARCCE Journal, ISSN:2319-5940 , Volume: 4, Issue 10, October 2015. 

Course Completions through Academic Initiatives:

• NPTEL: Machine Learning, Data Structures and Algorithms Using Java.

• Udemy Certification: Python

Projects Guided:

• Title: Campus Placement Prediction Using Machine Learning

• Title: Ride Nexus: Redefining travel through Decentralisation

• Title: Malware Detection using CNN Algorithm

Awards & Achievements:

• Secured Elite Silver Medal Certificate in NPTEL Swayam Course Data Structures and Algorithms using Java.

• Secured Elite Certificate in NPTEL Swayam Course Machine Learning.

• Delivered Session as Guest Speaker on ‘Approach for Detection of PE malware using ensemble learning and Deep Learning’ at Seminar hosted by Shree L.R.Tiwari College of Engineering,Miraroad.

• Participated in SPICON 2022 International Conference on “Industry 4.0 – Nascent Technologies and Sustainability for ‘Make in India’ Initiative”.

STTPs & FDPs attended:

• CBP: "Cyber Security and Forensics"
  Duration: 7 Days (19/06/2023 to 24/06/2023).

• STTP: "Exhilarating Socio-Human Life Using Deep Learning"
  Duration: 12 Days (3/07/2023 to 14/07/2023).

• STTP: "Concepts and Applications of Artificial Intelligence Subfields"
  Duration: 6 Days (2/01/2023 to 7/01/2023).

• FDP: "Emerging Technologies in Machine Learning"
  Duration: 7 Days (30/01/2023 to 3/02/2023).

• FDP: AICTE Training and Learning (ATAL) Academy Online FDP on "Building Advanced Data Analytics Applications with Cloud"
  Duration: 5 Days (08/01/2024 to 12/01/2024).

• FDP: "Machine Learning,Internet of Things,and SAP ABAP"under Code Unnati
  Duration: 7 Days (18/06/2024 to 24/06/2024).

• STTP: "Cloud Computing and HPC"
  Duration: 7 Days (5/02/2024 to 9/02/2024).

• FDP: ISTE Approved "Generative Adversarial Network and Auto Encoders for Computer Vision"
  Duration: 6 Days (03/06/2024 to 8/06/2024).

• FDP: ISTE Approved "Exploring Generative AI and Explainable AI :Concepts to Application"
  Duration: 6 Days (24/06/2024 to 29/06/2024).