About Me
I'm a Data Professional with an M.Sc in Data Science from the University of Surrey, passionate about transforming complex data into actionable insights. My expertise spans machine learning, data engineering, and AI engineering, with a strong foundation in Python, JavaScript, and cloud technologies.
Currently, I'm expanding my expertise into fintech and AI applications in financial markets. I'm building knowledge in market analysis, trading systems, and financial data engineering while creating innovative AI solutions including RAG systems, LLM applications, and intelligent agents that bridge data science and finance.
I thrive on solving real-world problems through data-driven approaches, whether it's building NLP models, designing ETL pipelines, developing RAG applications, or creating AI-powered tools. Each project is an opportunity to learn, innovate, and deliver impactful solutions.
Machine Learning & AI
Building intelligent solutions with Python, NLP, and deep learning frameworks
Data Engineering
Designing ETL pipelines, database optimization, and cloud data solutions
AI Engineering & RAG
Developing LLM applications, RAG systems, and AI-powered solutions with vector databases
Featured Projects
A collection of my work across machine learning, data engineering, and AI applications
Prompt Enhancer
Chrome extension using Google's Gemini Nano AI for on-device prompt enhancement. Enhances ChatGPT prompts instantly with 100% local processing, zero API costs, and complete privacy.
Other Projects
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Technical Skills
A comprehensive toolkit spanning data science, financial analysis, and software development
Programming Languages
Machine Learning & AI
Data Engineering
Cloud & DevOps
Data Visualization
Currently Expanding
Cloud Certifications
AWS & GCP certifications
Financial Markets
Trading strategies & market analysis
AI in Finance
Algorithmic trading & News sentiment analysis
Real-time Systems
Streaming data & live dashboards
Current Learning Interests
As I transition into fintech, I'm actively expanding my expertise in financial markets and AI applications in finance. Here's what drives my learning journey:
Financial Markets & Trading
Exploring market dynamics, trading strategies, and investment analysis. Learning about technical and fundamental analysis, market indicators, and portfolio management.
AI in Finance
Investigating applications of machine learning and AI in fintech, including algorithmic trading, risk assessment, fraud detection, and predictive analytics for financial markets.
Financial Data Engineering
Building robust data pipelines for real-time market data, designing scalable architectures for financial analytics, and implementing efficient data processing systems.
Market Sentiment Analysis
Leveraging NLP and sentiment analysis to extract insights from financial news, social media, and market reports to understand market psychology and trends.
How I'm Learning
Finance Books
Reading foundational texts on markets, trading, and financial analysis
Online Courses
Following fintech and AI courses to deepen technical knowledge
Hands-on Projects
Building real-world applications to apply concepts in practice
Blog & Insights
Blogs on DEV.to - Coming Soon!
I'm preparing to share technical insights, tutorials, and my journey in data science through DEV.to. Stay tuned for in-depth articles covering:
Fintech & AI
Latest trends and innovations
Breakdown of AI Tools
How they work under the hood
Project Deep Dives
Behind-the-scenes walkthroughs
💡 Get notified: Follow my DEV.to profile to receive updates when I publish new articles on breakdown of AI tools.
Let's Connect
I'm open to opportunities in data science, machine learning, data engineering, and fintech. Let's discuss how I can contribute to your team.
Get In Touch
Open To Opportunities
Data Science Roles
Building ML models and analytical solutions
Machine Learning Engineer
Developing and deploying AI systems
Data Engineering
Designing scalable data pipelines
Data Analyst
Extracting insights from complex data
🎯 Especially interested in Fintech!
Roles at the intersection of data science and financial technology