Welcome to my GitHub!
My projects/work spans Machine learning, Deep Learning, Data Science, and Software Development adhering to Object-Oriented Design. I'm also working on my Cloud Computing, Networking, Data Structures & Algorithms and Containerization skills. I'm looking for Internship/Co-op opportunities.
- π§ Pursuing a Master's in Information Systems, I specialize in leveraging data science and AI to solve complex problems. Skilled in machine learning, GenAI, and statistical analysis, I thrive on transforming data into actionable insights.
- π» Experienced in software development, cloud computing, and backend applications, I design robust, scalable solutions. Proficient in both SQL and NoSQL databases, I ensure efficient data management across platforms.
- π Adept at business intelligence, I use tools like Tableau to guide data-driven decisions, effectively managing stakeholder expectations and aligning technical projects with business goals.
- π My research interests focus on applying cutting-edge AI technologies to real-world applications, evidenced by projects in intelligent systems and predictive modeling.
- π Beyond tech, I'm intrigued by geopolitics and economics, enriching my understanding of technology's global impact.
- π€ Eager for collaborative projects that challenge technological limits and make meaningful societal contributions.
- General Purpose: Java, Python, C++
- Scripting & Markup: Bash, Shell, JSON, XML
- Statistical & Data Analysis: R, Python Libraries (Numpy, Pandas, Matplotlib, seaborn)
- Web Development: Django, Flask, FastAPI, Spring Boot
- Data Science & Machine Learning: TensorFlow, PyTorch, Keras, scikit-learn, GENSIM
- Natural Language Processing: NLTK, GENSIM
- Cloud Services: AWS (EC2, S3, RDS, Serverless), Azure, Google Cloud Platform
- DevOps Tools: Docker, Jenkins, Kubernetes, CI/CD pipelines
- Relational Databases: PostgreSQL, MySQL, MSSQL, Oracle
- NoSQL Databases: MongoDB, NoSQL
- Project Management & Collaboration: Jira, Confluence, Agile, Scrum
- Version Control & CI/CD: Git, GitHub Actions
- Data Visualization & BI: Tableau, Microsoft Excel
- Miscellaneous: SSL, TLS, OAuth, Apache Servers, PowerShell
- Credit Risk Classification: Developed a PyTorch neural network to classify if a loan request would be defaulted or not. Solved imbalanced dataset issue. View Repository
- Smart Waste Bin - Research: Proposed a prototype model-solution to fix Waste Management with Computer Vision, Deep Learning, IoT & Cloud Services. CNNs and Advanced Neural Network Architectures. View Repository
- Software Development Project: An end-to-end Java-MVC application for Childrens Daycare/School. View Repository
- Transfer Learning on CNNs Visualising Feature Maps in CNN and extensively comparing various Convulated architectures. View Repository
- Nutrition Management Database Design An end-to-end Nutrition Management Database Design View Repository
- LinkedIn: www.linkedin.com/in/suhaskm/
- Email 1: suhaskm23@gmail.com
- Email 2: km.s@northeastern.edu