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Adhiban1/README.md

Hi, I'm Adhiban Siddarth .V 👋

Welcome to Data Science World! 🌍

LinkedIn WhatsApp Gmail

Skills

Python Git Django Flask SQLite MySQL Docker Power Bi Microsoft Office LibreOffice Ubuntu Arch Shell Script Windows Terminal Visual Studio Code Jupyter Notebook Markdown

Familiar:

C C++ HTML5 CSS3 JavaScript LaTeX Neovim Raspberry Pi Rust

Data Science Skills:

Keras Matplotlib NumPy Pandas Plotly scikit-learn TensorFlow Power Bi

About Me

I finished my B.E. in Electronics and Instrumentation Engineering from Arunai Engineering College, Thiruvannamalai, Tamil Nadu. In college, I worked on a project called Robotic-Arm-IOT. In this project, I learned how to program a microcontroller (ESP32) using both Python and C++. Although I intended to implement object detection for identifying and manipulating objects using Machine Learning & Deep Learning, I didn't have enough time back then to learn those aspects. So, I completed the project without object detection. However, I did manage to create a Python app that could automate the robotic arm to pick and drop objects in a loop.

Following that project, my interest grew in Machine Learning (ML) and Deep Learning (DL). I've always had a keen interest in Mathematics and have even come up with various formulas during my school days. While many of those formulas already exist, I noticed that Data Science combines both mathematics and computer science. This realization prompted me to pursue a 12-month Data Science course. I not only followed the curriculum but also dedicated extra time every day to learn more about Data Science on my own. I found the subject fascinating and continued to expand my knowledge.

After completing the Data Science course, I undertook a Machine Learning Internship at Feynn Labs. Simultaneously, I am actively searching for job opportunities. I've found that securing a Data Science or Data Analysis job as a fresher can be quite challenging. To increase my prospects, I'm also learning backend development using Django. Additionally, I'm a fan of Linux and during the 12-month course, my laptop began running slow, so I decided to switch to Linux (Ubuntu). Now, I'm proficient in Linux, particularly Ubuntu and Arch.

Skills

  • Data Science: Proficient in leveraging data science techniques to extract valuable insights and make data-driven decisions.
  • Data Analysis: Skilled in analyzing complex datasets and extracting meaningful patterns and trends.
  • Data Visualization: Experienced in creating visually compelling representations of data to facilitate understanding and storytelling.
  • Python: Advanced proficiency in Python programming language, utilizing it as a primary tool for data manipulation and analysis.
  • C++ & Rust for Speeding Up Python Code: Well-versed in utilizing C++ and Rust to optimize Python code and enhance its performance.
  • Numba & Cython: Experienced in using Numba and Cython to further accelerate Python code execution.
  • Machine Learning: Strong understanding of machine learning algorithms and frameworks, employing them to develop predictive models and solve real-world problems.
  • Deep Learning: Skilled in applying deep learning techniques, including neural networks, to tackle complex tasks such as image recognition and natural language processing.
  • Flask: Proficient in building web applications using Flask, enabling seamless deployment and interaction with data-driven solutions.
  • Django: [Beginner]
  • Mathematics for Deep Learning and Machine Learning: Solid grasp of mathematical concepts that underlie deep learning and machine learning algorithms, allowing for a deeper understanding and effective problem-solving.
  • Rust: Actively practicing Rust as a forward-thinking choice for building high-performance data science and AI projects. Recognizing its potential to replace certain code blocks in the future and eager to stay ahead of the curve.
  • Continuous Learning: Enthusiastic about expanding my skillset by keeping up with emerging technologies and industry trends.
  • AI and Robotics: Passionate about the future of AI and robotics, actively learning new technologies to prepare for the advancements that lie ahead.
  • Quantum Computing in AI and Data Science: Actively exploring the intersection of quantum computing and its potential applications in AI and data science.

Motivation

I am driven by a relentless passion for data science, artificial intelligence, and their profound impact on society. With a commitment to continuous learning, I constantly strive to stay at the forefront of technological advancements and anticipate the future needs of the industry. My pursuit of knowledge extends beyond the present, as I recognize the significance of emerging technologies such as Rust, AI, robotics, and quantum computing. By embracing these technologies, I aim to contribute to the development of cutting-edge solutions that shape the world of tomorrow.

Let's Connect! 🤝

If you share my enthusiasm for data science, AI, or any related field, I would love to connect with you. Feel free to reach out to me via to explore potential collaborations or engage in insightful discussions.

Thank you for taking the time to visit my profile. Together, let's unlock the power of data and create a future fueled by innovation and knowledge! 🚀

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    HTML

  2. Smart-Industrial-Predictive-Solutions Smart-Industrial-Predictive-Solutions Public

    Smart-Industrial-Predictive-Solutions Feynn Labs Internship project

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  3. EV-Market-Segmentation EV-Market-Segmentation Public

    Electric Vehicle Market Segmentation Analysis in India - Feynn Labs Internship

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  4. Market-Segmentation-Analysis Market-Segmentation-Analysis Public

    Market-Segmentation-Analysis | Feynn Labs | Machine Learning Internship

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  5. Machine-Predictive-Maintenance Machine-Predictive-Maintenance Public

    Machine Predictive Maintenance is a maintenance strategy that uses data analysis to predict when a machine or equipment is likely to fail.

    Jupyter Notebook

  6. Robotic-Arm-IOT Robotic-Arm-IOT Public

    Python