I'm currently pursuing my Master of Science in Analytics with a specialization in Applied Machine Intelligence at Northeastern University. With a strong foundation in Embedded Systems, semiconductors and Data Analytics, I am now focusing on the exciting fields of Artificial Intelligence (AI) and Machine Learning (ML) to solve complex, real-world problems. My experience spans from hardware design to building advanced data analytics models and developing AI-powered solutions.
🎓 Currently pursuing my second Master's degree in Analytics at Northeastern University.
💼 Worked as a Embedded Design Engineer, focusing on hardware design, data analysis, and process optimization.
🏅 Published research with IEEE and have a strong track record of applying data-driven techniques to optimize operations and improve efficiency.
🌱 Always eager to learn and contribute to projects that bring together my background in engineering and passion for data science and AI.
🌱 Passionate about developing innovative solutions at the intersection of AI, data analytics, and hardware design
- Programming Languages: Python, SQL, R, Linux Shell Scripting
- Tools : Tableau, Databricks, Cloudera, Google Analytics, Azure, Advanced Excel.
- Machine Learning/AI: TensorFlow, scikit-learn, PyTorch
- Technical Skills: Data Cleaning, Data Manipulation, Data Visualization, Regression (Linear and Logistics), Predictive Analysis, Classification, Time Series Analysis, Hypothesis Testing.
- Hardware Design: Schematic Design, PCB Design
- Version Control: Git, GitHub
- Massachusetts Property Assessment Dashboard
- The Role of Data Visualization in Child Welfare Initiatives
- Iris Classification Microservice
- Bike-Severity-Application
- Narrative Revelation and Book Popularity
- Ad Content Analyzer
- AI Chatbot
- Bank-Term-Deposit-Prediction
- Automatic Image Caption Application
- Undocumented Projects
I'm particularly passionate about applying Artificial Intelligence to automate complex tasks, optimize workflows, and derive insights from massive datasets. My areas of focus include:
- Deep Learning and Neural Networks for predictive modeling
- Natural Language Processing (NLP) to build intelligent systems
- AI in hardware optimization for enhanced product performance
- Big Data & AI integration for scalable solutions
I'm always open to collaborating on AI/ML projects or learning about exciting opportunities in the field. Feel free to reach out: