Headline

Aspiring Data Analyst | Python | SQL | Power BI | Data Visualization | Turning Data into Insights | Open to Data Analyst Opportunities

About

I am a final-year Computer Science student passionate about Software Development, Artificial Intelligence, Machine Learning, and Data Analytics. I enjoy building software solutions, analyzing data, and developing intelligent systems that solve real-world problems. I have hands-on experience with programming, data analysis, and machine learning techniques using tools such as Python, SQL, and Power BI. I enjoy exploring how data and AI can be used to build efficient applications and support better decision-making. Some of the projects I have worked on include: • Credit Card Fraud Detection using Machine Learning • Image-Based Fake News Detection using AI • Bank Loan Risk Analysis Dashboard using Power BI Through these projects, I gained experience in data preprocessing, machine learning model development, data visualization, and software problem-solving. Technical Skills: Python | SQL | Machine Learning | Data Analysis | Power BI | Pandas | NumPy | Data Visualization | GitHub I am currently seeking internship or entry-level opportunities in Software Engineering, Artificial Intelligence / Machine Learning, or Data Analytics where I can apply my technical skills, work on real-world projects, and continue learning from industry professionals. I am always open to connecting with professionals, recruiters, and learners in the tech community.

Location

Chamrajnagar

AI stack

gemini

github copilot

notion

openai

Work experience

Data Analyst Intern at Bluestock™🔺, Apr 2026 - May 2026 · 2 mos, • Developed an end-to-end financial intelligence platform for analyzing 100+ stock market listed companies. • Built interactive Power BI dashboards for Financial Health, Revenue Growth, Profitability, Debt Analysis, Dividend Analysis, and Shareholder Value. • Designed ETL pipelines using Python and PostgreSQL to collect, clean, transform, and load financial data. • Performed exploratory data analysis (EDA) and created visualizations to identify trends and business insights. • Implemented machine learning models for anomaly detection, company clustering, peer comparison, and revenue forecasting. • Developed REST APIs using Django to provide financial metrics, rankings, and company insights. • Created DAX measures and KPIs for advanced business intelligence reporting. • Delivered data-driven insights to support investment analysis and decision-making.

Data Analyst Intern at Bluestock™🔺, Apr 2026 - May 2026 · 2 mos, • Developed an end-to-end financial intelligence platform for analyzing 100+ stock market listed companies. • Built interactive Power BI dashboards for Financial Health, Revenue Growth, Profitability, Debt Analysis, Dividend Analysis, and Shareholder Value. • Designed ETL pipelines using Python and PostgreSQL to collect, clean, transform, and load financial data. • Performed exploratory data analysis (EDA) and created visualizations to identify trends and business insights. • Implemented machine learning models for anomaly detection, company clustering, peer comparison, and revenue forecasting. • Developed REST APIs using Django to provide financial metrics, rankings, and company insights. • Created DAX measures and KPIs for advanced business intelligence reporting. • Delivered data-driven insights to support investment analysis and decision-making.

Data Analyst Intern at Bluestock™🔺, Apr 2026 - May 2026 · 2 mos, • Developed an end-to-end financial intelligence platform for analyzing 100+ stock market listed companies. • Built interactive Power BI dashboards for Financial Health, Revenue Growth, Profitability, Debt Analysis, Dividend Analysis, and Shareholder Value. • Designed ETL pipelines using Python and PostgreSQL to collect, clean, transform, and load financial data. • Performed exploratory data analysis (EDA) and created visualizations to identify trends and business insights. • Implemented machine learning models for anomaly detection, company clustering, peer comparison, and revenue forecasting. • Developed REST APIs using Django to provide financial metrics, rankings, and company insights. • Created DAX measures and KPIs for advanced business intelligence reporting. • Delivered data-driven insights to support investment analysis and decision-making.

Education

B.E(CSE), PES college of Engineering, Mandya