Passionate about data analysis, machine learning, devops and building intelligent systems that solve real-world problems.
- π Masterβs student in Computer Science passionate about Data Science, Machine Learning, and AI.
- π Skilled in Python, SQL, Data Analysis, and Visualization.
- π Exploring Devops, LLMs, and AWS.
- π± Currently exploring Cloud Services to strengthen data engineering & cloud skills.
- π¬ Ask me about: data, ML models, or software quality analysis.
- β‘ Fun fact: I love blending data, code, and creativity to solve real-world problems.
Built a domain-specific recommendation system for personalized YouTube video suggestions.
Utilized NLP and sentiment analysis with models like BERT and LSTM to enhance accuracy.
Developed a Bitcoin price prediction model using LSTM and integrating FinBERT-based sentiment analysis in python on real-time Reddit data to forecast hourly price movements.
Predicts the price of BTC in USD based on historical data and senitment analysis.
Obtained Insights by:
Data transformation using Power Query Editor.
Creating calculated columns and measures using DAX.
Building interactive dashboards with filters, slicers, cards.
Visual storytelling with bar charts, line graphs, pie charts, maps, and tables.