SakshiFadnavis2003 - Overview

Hi there, I'm Sakshi Fadnavis! 👋

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I am an aspiring Data Scientist with a strong passion for machine learning, deep learning, and data analytics. My goal is to leverage data-driven insights to create impactful solutions and drive innovation. Welcome to my GitHub profile!

🚀 About Me

I am currently pursuing a degree in Data Science from Shri Ramdeobaba College of Engineering and Management. My journey in data science has equipped me with a solid foundation in SQL and Java, along with hands-on experience in various projects. I am passionate about coding and eager to apply my skills in machine learning, deep learning, and artificial intelligence to solve real-world challenges.

🌟 Featured Projects

🌱 Plant Fettle Detector

An intelligent system for detecting plant diseases and assessing fruit quality.

  • Tech Stack: CNN, TensorFlow, Keras
  • Highlights: Presented at INOCON 2024, published in IEEE Xplore (Link)

📍 TrackMate

A real-time location tracking application enhancing security measures.

  • Tech Stack: Android, Google Maps API, Firebase

🤖 InterviewXpert

InterviewXpert is an AI-based virtual interview preparation platform designed to help users practice for job interviews with a focus on both verbal and non-verbal communication.

  • Tech Stack: Web Development, Generative AI, Natural Language Processing

🌱 Learning and Improving

  • Continuously improving the accuracy and efficiency of my models.
  • Exploring cutting-edge machine learning algorithms and techniques.
  • Deepening my understanding of neural networks and their applications.

🛠 Skills

  • Languages: SQL, Java
  • Frameworks: TensorFlow, Keras, Scikit-Learn
  • Tools: VS Code, Anaconda
  • Domains: Data Science, Machine Learning, Deep Learning, NLP, AI

📫 Get in Touch

LinkedIn Email LeetCode HackerRank Kaggle

📊 GitHub & LeetCode Stats

GitHub Stats

Sakshi's GitHub Stats

Sakshi's Contribution Graph

Top Languages

LeetCode Stats

LeetCode Stats

🏆 Achievements

  • Research Paper: Presented "Plant Fettle Detector" at INOCON 2024, selected for publication in a Scopus-indexed journal, and published in IEEE Xplore (Link).
  • Hackathon: Participated in the Eureka Challenge 2.0, developing innovative solutions for mobile screen projection and control.
  • Myntra Hackathon: Participated and contributed to trend generation for Gen Z, focusing on AI-driven image uniqueness and popularity assessments (Link).

GitHub Trophies

GitHub Trophies

Languages

Python SQL Java

Frameworks:

TensorFlow Keras Scikit-Learn

Tools:

VS Code Anaconda Tableau IntelliJ

💬 Soft Skills

  • Problem Solving: Adept at identifying issues and developing effective solutions.
  • Team Collaboration: Experienced in working collaboratively within teams to achieve project goals.
  • Time Management: Skilled in managing time efficiently to meet deadlines.
  • Adaptability: Quick to adapt to new environments and technologies.

Thank you for visiting my profile! I am always open to discussing new opportunities and collaborations. Feel free to explore my repositories and connect with me. 😊