About Me

I am a passionate programmer with a profound interest in Machine Learning and Data Science. Currently, I’m working as a Data Scientist (Co-op) at Applied Materials, focusing on real-time sensor data analysis and advanced neural network modeling. My journey is fueled by hands-on projects, multiple internships, and research publications that explore new perspectives in AI and ML. I continuously seek to expand my expertise in the ever-evolving world of programming.

What I'm Doing

  • Masters icon

    Masters

    Pursuing MS in Computer Science at Arizona State University, deepening my passion for programming and machine learning.
    Expected Graduation: 2025

  • Projects icon

    Projects

    Actively engaged in AI and ML projects and internships, deploying them in the field, all showcased in the Projects section.

  • Coursework icon

    Coursework

    • Statistical Machine Learning
    • Fundamentals of Statistical Learning
    • Digital Video Processing
    • Software Security
    • Knowledge Representation and Reasoning
  • Videography icon

    Videography

    Enthusiastic creator who loves crafting videos, capturing moments, and turning experiences into visual stories.

Current and Past Affiliations

The organizations and institutes I’ve worked with or studied under are listed below.

    AMAT logo
    Applied Materials, Santa Clara
    ASU logo
    Arizona State University
    DPU logo
    Dr. D. Y. Patil Institute of Technology
    SPPU logo
    Savitribai Phule Pune University
    ResoluteAI logo
    ResoluteAI
    TEAL logo
    Terra Economics and Analytics Lab, India
    ACES logo
    Association of Computer Engineering Students, Pune
    KVS logo
    Kendriya Vidyalaya Sangathan

Resume

Education

  • Master of Science in Computer Science

    Aug 2023 - May 2025

    Arizona State University, Tempe, Arizona
    GPA: 3.81/4.0

  • Bachelor of Engineering in Computer Engineering

    2019 - 2023

    Savitribai Phule Pune University, Pune, India
    GPA: 3.87/4.0

Work Experience

  • Data Scientist (Co-op)

    May 2024 - Present

    Applied Materials, Santa Clara, California
    • Automated data workflows (100 GB+ real-time sensor data) using Python and Pandas.
    • Collaborated on deploying a custom neural network model (R² = 97.4%).
    • Transitioned predictive models to neural networks with Optuna, achieving 30% tighter error bands.
    • Summarized real-time sensor data to improve measurement accuracy.
    • Co-inventor on a company patent for wafer deposition thickness prediction using ML.

  • Machine Learning Engineer (Intern)

    Apr 2022 - Jul 2022

    ResoluteAI, Bangalore, India
    • Built and deployed a predictive maintenance model on AWS, reducing downtime by 25%.
    • Developed an accident prediction model (65% accuracy) using gradient boosting and EDA.
    • Created Tableau dashboards to visualize accident probabilities.

  • Data Analyst (Intern)

    Dec 2021 - Jan 2022

    Terra Economics and Analytics Lab (TEAL), Bangalore, India
    • Standardized and optimized ETL pipelines for real estate data, improving data quality by 15%.
    • Produced ad-hoc reports using Advanced Excel, enabling data-driven decisions.
    • Gained experience in data scraping and collaborated with cross-functional teams.

My Skills

  • Machine Learning
    90%
  • Deep Learning
    85%
  • Data Science
    80%
  • Python/Java/C++/JavaScript
    85%
  • AWS & Docker
    75%
  • Data Visualization (Tableau/PowerBI)
    70%
  • MLOps & CI/CD
    65%

Projects

Contact

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