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Summary

Engineering student with a strong foundation in programming, machine learning, statistical analysis, and data science. Published author in IEEE Journal of Remote Sensing. Seeking an opportunity to apply skills and contribute to dynamic organizations as a data science fresher.

Work Experience
Data Analytics Internship, Accenture
  • Programming: Python, R
  • Visualisation: Tableau
  • 2023 Feb – presentBangalore, India
  • Framework: Hadoop
  • Project: Industry capstone project
  • Summer Research Machine Learning Intern, Indian Institute of Technology, Kharagpur
  • Project Objective: Ground displacement and deformation rate estimation in San Francisco Bay area.
  • Dataset: European Remote Sensing satellite, ERS-1/2
  • 2021 Jun – 2021 SepKharagpur, India
  • Applied STUN algorithm to compute the results.
  • Collaborated with the research team to discuss the weekly project updates with technical reports & presentations.
  • Education
    ELECTRONICS AND COMMUNICATION ENGINEERING (B.E), MVJ College of Engineering

    Grade Point (CGPA) - 8.4/10

    2019 Oct – presentBangalore, India
    Skills
    Programming

    Java, Python, C/C++, Matlab, CSS, Javascript

    Libraries

    NumPy, Pandas, XGBoost, Sklearn

    Miscellaneous

    OOPS, DSA, Machine Learning, Internet of Things

    Database Management

    MySQL

    Visualization

    Matplotlib, Seaborn, Tableau, Excel

    Awards
    Best Design Award, Ministry of Electronics and IT, Government of India

    Third prize for designing Electronic product for mobile handset (Low cost smart light system) in Grand challenge contest - 2021

    Projects
    Human Heart Stroke Prediction

    Tech stack: Python, Numpy, Pandas, Sklearn, Matplotlib, Seaborn

  • Predicted whether 23k people affected by stroke or not using DecisionTreeClassifier, RandomForestClassifier, GaussianNB and MLPClassifier.
  • 2022 May – 2023 Jun
  • RandomForestClassifier gave more accuracy that is 98% compare to other models.
  • FFDAPA - Forest Fire detection and Prediction Algorithm, Support vector machines

    Tech stack: Python, Arduino, MySQL

    Hardware: DHT11, ESP8266 (IoT), Arduino Nano, NRF24L01(2.4GHz transceiver)

    2022 Aug – 2022 Oct
  • Embedded slave nodes at different locations (Arduino Nano) and also a master node (ESP8266).
  • The fire prediction algorithm predicts the fire direction and it will send a message to the person about the next location that gets fire.
  • The Model Prediction Accuracy of fire is 92%.
  • Publications
    IEEE Xplore - 2021 IEEE InGARSS

    Estimation of Ground Displacement in San Francisco Bay Area Using STUN (PSInSAR ) Algorithm.

    Courses
    Data Analytics With Python Course, Mycaptain

    Decision-Making, Data Collection, Data Cleansing, Data visualisation

    Java programming, Mycaptain

    Developed a Student management project

    2020 Jul
    Volunteer
    Roboclub under Robolab, Vice president in College

    Conducted various workshops and internships in Robotics, programming and IoT domain. Then coordinated projects for juniors in IoT, Embedded systems, and AI-ML domains

    2023 Jan – present