Mohammad Faiz Abid

About Me

I am an enthusiastic student pursuing a degree in Electrical and Electronics Engineering at VIT Chennai, with a strong passion for Data Science, Artificial Intelligence, and Machine Learning. My academic and professional journey reflects a commitment to continuous learning, technical exploration, and impactful leadership.

---

🎓 Academic & Research Experience

My background in EEE has enabled me to work on core engineering research, including a paper on VLSI Design and FPGA Implementation of 2D Convolution for Image Processing. This experience honed my skills in signal processing, hardware modeling, and image analytics, bridging hardware design with data science applications.

---

💼 Internship Experience

• Data Analyst Intern – KPMG
  Worked on real-world business analytics projects, applying Python and Excel to extract, clean, and interpret data for informed decision-making and reporting.

• Industrial Intern – TANGEDCO (Tamil Nadu Generation and Distribution Corporation)
  Understood the functioning of state-level power distribution systems, grid load management, and energy monitoring infrastructure.

• Web Development Intern – Mafkin Robotics
  Built responsive web applications and contributed to full-stack development projects aimed at integrating robotic solutions with user-friendly web interfaces.

• Research Intern – CNVD (Center for Nanoelectronics and VLSI Design)
  Conducted research on FPGA-based acceleration for 2D convolution in image processing, leading to a publication-worthy research paper.

---

Leadership Experience

• Vice Chairperson – IEEE Computer Society, VIT Chennai
  Led one of the most dynamic student chapters in VIT, organizing workshops, hackathons, and speaker sessions that empowered peers in the tech community.

• Strategic Community Builder – DevTown
  Played a key role in scaling DevTown’s technical outreach by mentoring members, facilitating AI/ML learning pathways, and helping architect community growth strategies.

---

💻 Technical Skills

• Programming Languages: Python, Java, Verilog, C
• AI/ML Frameworks: TensorFlow, Keras, Scikit-learn, OpenCV
• Data Science & Analytics: NumPy, Pandas, Matplotlib, Seaborn, Power BI, Excel
• Tools & Platforms: Jupyter, Git, VS Code
• Core Concepts: Supervised/Unsupervised Learning, Neural Networks, Computer Vision, Data Preprocessing, Feature Engineering, Model Evaluation, VLSI Design, FPGA, Image & Signal Processing

---

📂 Projects

• 🔍 OptiiQ – Intelligent Keyword Extraction - NLP Model
  OptiIQ is a keyword extraction model designed to work on SEO strategies. By analyzing vast amounts of textual data, OptiIQ will help businesses to optimize their content for search engine visibility and empowers marketers to uncover valuable insights, enhance keyword targeting, improve website rankings, and ultimately drive more organic traffic.

• ⚡ Residential Load Prediction and Tariff Optimization
  A machine learning-based solution to forecast residential power consumption and optimize tariff plans, improving both cost efficiency and grid planning.

---

With a strong foundation in engineering, enriched by practical experience in data science, ML, and real-world applications, I aim to contribute to technology that drives meaningful impact.