Passionate about threat detection, incident response, and network security, I am actively building my skills in SOC operations, SIEM tools, and threat intelligence. Currently completing the Google Cybersecurity Certification and SOC Analyst training on TryHackMe to strengthen my knowledge.
- SIEM
- IDS/IPS
- Log analysis
- Python for automation
- Security tools (Splunk, WireShark)
- Threat hunting
- Cloud security (AWS)
- Data science techniques for cybersecurity
💻 Always working on security labs like TryHackMe & have built some beginner-level cybersecurity projects! Constantly exploring how data science and machine learning can be integrated into threat detection and incident response.
Passionate about data analysis, machine learning, and AI, I am actively building my expertise in data science workflows, predictive modeling, and big data technologies. Currently pursuing the IBM Data Science Certification to deepen my understanding and skills in the field.
- Data wrangling & cleaning
- Machine learning algorithms
- Python for data science
- SQL & NoSQL databases
- AI & machine learning model development
- Data visualization tools (Matplotlib, Seaborn, PowerBI)
- Deep learning frameworks (TensorFlow, PyTorch)
- Cloud data science platforms (AWS, Google Cloud)
Developed an AI-powered tool that analyzes users' resumes, GitHub profiles, LinkedIn, and portfolios to generate personalized career insights. The system leverages:
✔ React for the frontend and Flask for the backend
✔ Milvus for vector database management
✔ OpenAI API for generating tailored career advice
✔ Web scraping to collect relevant job market data
✔ Dynamic PDF generation for optimized resumes and cover letters
💻 Continuously working on real-world data science projects and contributing to open-source ML/AI initiatives. Excited about the future of data-driven decision-making and AI innovation!