Department
AIML
Designation
Assistant Professor
Qualification
M.Tech
Experience
3 years
Interest Areas
Artificial Intelligence, Data Science & Analytics,
Data Visualization, Business Analytics
Academic Profile :

Global Certifications:

  • Post Graduate program in Data Science and Business analytics (Great Lakes)

Projects :

  • Online Retail Orders Analysis

    • Course: SQL

    • Description: Analyze an online retail store's "orders" database to answer queries aiding data-driven decisions.

    • Skills & Tools: Joins, Subqueries, SQL Clauses, SQLite, MySQL Workbench.

  • Segmentation Using Clustering and PCA

    • Course: Data Mining

    • Description: Perform EDA, clustering, and PCA to analyze marketing and census data for segmentation and variance explanation.

    • Skills & Tools: EDA, Clustering, PCA, Silhouette Score.

  • Advanced Statistics Graded Project

    • Course: Advanced Statistics

    • Description: Solve problems on probability, hypothesis testing, and ANOVA to apply advanced statistical techniques.

    • Skills & Tools: Probability Distributions, Hypothesis Testing, ANOVA.

  • Election Exit Poll Prediction & Speech Analysis

    • Course: Machine Learning

    • Description: Predict voting patterns using survey data and analyze U.S. Presidential speeches for insights.

    • Skills & Tools: Text Mining, SVM, KNN, Naive Bayes, LDA.

Projects Guided:

  • Smart Traffic Management System Using IoT and AI
    A project aimed at reducing traffic congestion through real-time monitoring and adaptive traffic light control using IoT sensors and machine learning algorithms.

  • Blockchain-Based Secure Voting System
    A decentralized and tamper-proof voting system using blockchain technology to ensure transparency and security.

  • AI-Powered Chatbot for Personalized Learning
    An AI chatbot that adapts to users' learning styles and preferences, providing tailored educational content and interactive learning experiences.

  • Energy-Efficient Scheduling in Cloud Computing
    Developing algorithms to optimize task scheduling in cloud data centers to minimize energy consumption while maintaining performance.

  • Virtual Reality-Based Rehabilitation System
    A VR application to assist in physical therapy and rehabilitation, with real-time tracking and adaptive difficulty levels.

  • Vehicle-to-Vehicle Communication for Accident Prevention
    Implementing a system for real-time communication between vehicles to alert drivers about potential collisions and improve road safety.

Awards & Achievements:

  • Mumbai University PET Qualified 2024

  • Worked as Core Organising committee member in International Conference on Science Technology Engineering & Mathematics for sustainable development in 2023 

  • GL Elevate program through Great Learning

  • Attended workshop on Information Security and Ethical Hacking

     

STTPs & FDPs attended:

  • FDP: "Smart Manufacturing and Industry 4.0: The Future of Prediction"
    Duration: 6 Days (21/10/2024 to 26/10/2024)

  • Conference:  “ICSTEMSD” Organised by Atharva College of engineering
    Duration: 2 Days (17/02/2023 to 18/02/2023)