Headline

Data Analyst | Python • SQL • Power BI • Excel | Data Analytics • Visualization • EDA | Turning Data into Actionable Insights

About

I’m a B.Tech AI & ML student with a strong interest in Data Analytics and Business Intelligence. I enjoy transforming raw data into meaningful insights through data analysis, visualization, and dashboards. I have hands-on experience with Python, SQL, Excel, Power BI, Pandas, NumPy, and data visualization, along with data cleaning, exploratory data analysis (EDA), statistical analysis, and basic predictive analytics. Through my Data Science & Analytics internship and projects, I’ve worked on business performance analysis, agricultural data analysis, financial analytics, dashboards, and forecasting. I’m currently seeking opportunities as a Data Analyst, Data Analytics Intern, or Business Intelligence Analyst where I can apply my analytical skills and continue learning through real-world data problems.

Location

Bengaluru

AI stack

claude code

gemini

ChatGPT

ChatGPT Images

Gamma

Work experience

Data Analytics Intern at Edunet Foundation, Aug 2026 - Present · 2 mos, • Conducted hands-on data analysis on HR, agriculture, and business datasets to identify meaningful patterns, trends, and insights. • Worked independently under mentor guidance to develop data-driven solutions and prepare project reports. • Applied data analysis techniques to explore datasets, interpret findings, and communicate insights effectively. • Strengthened practical skills in data cleaning, exploratory analysis, visualization, and insight generation through real-world datasets.

Data science and analytics intern at The Developers Arena, Dec 2025 - Jun 2026 · 7 mos, Completed a 6-month Data Science & Analytics internship, gaining hands-on experience in Python, Data Analysis, Data Visualization, Machine Learning, Database Management, and APIs. * Developed Python applications using OOP, data structures, file handling, error handling, modular programming, and data persistence. * Built a Personal Finance Manager using Python and CSV for expense tracking, reporting, data validation, and spending analysis. * Worked on data cleaning, exploratory data analysis, visualization, and statistical analysis to extract meaningful insights from datasets. * Applied Machine Learning workflows including data preparation, model development, training, and evaluation. * Developed practical ML projects, including a house-price prediction project. * Gained exposure to database management and API integration for data-driven applications. * Worked on advanced data science projects involving practical ML techniques and real-world datasets. * Followed structured project development, testing, debugging, documentation, and GitHub practices. * Strengthened problem-solving and analytical skills through multiple hands-on assignments and projects.

Education

Bachelor of Technology, Artificial Intelligence and Machine Learning, Srinivas university