• 🌱 I believe learning is a continuous process and enjoy exploring new technologies, products, and ideas

• 🔭 Currently working as a Data Analyst Consultant at Quintype Technologies India Limited

• 🚀 Building AI-powered products like Resume Suit & PPT Generator

• 🧠 Exploring Machine Learning, Deep Learning, LLM workflows, AI Automation, and Data Products

• 🤝 Open to collaborating on Data Science, Analytics, AI, and Product-focused projects

• 📊 Ask me about Python, SQL, Power BI, Machine Learning, Data Analytics, and AI tools

• ⚡ Strengthening expertise in Python, Tableau, MySQL, Azure, Apache Spark, Hadoop, and Artificial Intelligence

• 📫 Reach me at pradeepinfo.30@gmail.com

• Building AI-powered products like Resume Suit & PPT Generator
• Developing end-to-end Data Analytics and Machine Learning applications
• Exploring LLM workflows, AI automation, and data products
• Strengthening expertise in Python, SQL, Power BI, Azure, and AI systems

• Working on data-driven workflows, reporting, and analytics solutions
• Supporting business decision-making through structured insights
• Building analytical workflows and improving reporting efficiency

• Early contributor to the DBCode VS Code extension ecosystem

• Reported and documented 50+ GitHub issues covering:

  • bug reports
  • feature suggestions
  • UX improvements
  • workflow enhancements

• Suggested and helped influence the transition of notebook file extensions from .dbcode to .dbcnb

• Contributed to:

  • documentation improvements
  • prerelease testing
  • developer workflow feedback
  • product evolution discussions

• Performed data preprocessing and feature engineering in Python, improving machine learning model performance by 20%.
• Applied and evaluated multiple machine learning algorithms to enhance predictive accuracy and model robustness.
• Streamlined data preparation and experimentation workflows, reducing model development time by 25%.

• Analyzed large datasets using SQL and Python to identify trends and generate insights that supported data-driven business decisions.
• Developed interactive dashboards in Power BI and Tableau, automating reporting workflows and reducing manual reporting effort by 30%.
• Optimized SQL queries and data processing pipelines, improving reporting efficiency and enabling faster access to business metrics.

Power BI dashboard analyzing:

• sales performance
• customer behavior
• order trends
• business insights

Tech Stack: Power BI • Excel • Data Analytics

Exploratory Data Analysis project focused on:

• restaurant trends
• ratings analysis
• pricing insights
• customer preferences

Tech Stack: Python • Power BI • Pandas • Data Visualization

Interactive stock market trend analysis and visualization project.

Tech Stack: Python • Power BI • Financial Data Analysis

Machine learning application predicting email campaign success using customer engagement metrics.

Tech Stack: Python • Scikit-learn • Pandas • Streamlit

NLP-based fake news classification system with live deployment.

Tech Stack: Python • NLP • Machine Learning • Streamlit

Machine learning model predicting passenger survival outcomes using classification algorithms.

Tech Stack: Python • Scikit-learn • Streamlit • Data Analysis

Interactive machine learning application for gender prediction with live deployment.

Tech Stack: Python • Machine Learning • Streamlit • Pandas

Interactive NLP-based WordCloud generation tool for transforming text into visual insights.

Tech Stack: Python • NLP • Streamlit • WordCloud

AI-powered resume optimization platform focused on:

• ATS improvement
• smart resume customization
• AI-assisted resume enhancement

Automated presentation generation tool using:

• AI workflows
• structured content generation
• intelligent slide creation

• From Numbers to Narratives :article:
• Emerging Trends in Data Analysis ✍️
• Classification Models in Machine Learning :article:
• Reliable Database Transections ✍️
• The Importance of Recall in ML :article: