01
Model
Customer Churn
Prediction
Technologies used
Python,Pandas,NumPy,DV,Scikit-learn
I'm a dedicated Data Analyst currently pursuing Data Science and Analytics training and Master of Computer Application. I'm passionate about exploring data, uncovering insights and transforming them into meaningful strategies that support data-driven decision-making. I aim to turn complex data into powerful stories and actionable intelligence that drive innovation and business growth.
RESUME
Technologies used
Python,Pandas,NumPy,DV,Scikit-learn
Technologies used
Python,Pandas,Matplotlib,Seaborn
Technologies used
Excel,MYSQL,SQL Workbench
Technologies used
Excel,Sql,PowerBi
Technologies used
Excel,Tableau Desktop,Data Storytelling
I developed responsive, user-friendly websites using HTML, CSS, JavaScript, and MySQL. This experience strengthened my technical skills, creativity, and understanding of how front-end and back-end systems integrate in web applications.
I am gaining hands-on experience in data analysis, visualization, statistical modeling, and machine learning. Through practical projects, I am strengthening my expertise in Python, SQL, Power BI, and Tableau to analyze complex datasets, develop predictive models, and deliver actionable, data-driven insights that support business decision-making.
My BCA program built a strong foundation in programming, database management, and computational problem-solving. Through academic projects and coursework, I developed logical thinking, algorithmic understanding, and a structured approach to software development. This foundation strengthened my ability to understand how systems, databases, and applications interact in real-world environments.
I am currently pursuing an MCA to deepen my expertise in advanced programming, data management, and system design. The program is enhancing my analytical thinking and technical decision-making skills, enabling me to approach complex problems with scalable and efficient solutions. It is further aligning my technical background with real-world industry requirements.
I have a strong foundation in both front-end and back-end development, enabling me to create dynamic applications.
Strong analytical and visualization skills for extracting, interpreting, and presenting meaningful insights from complex datasets.