Highly academic with expert technical knowledge in the subjects, Organized and motivated employee. Can do attitude for new technology, quick learner and highly adoptive to the new environments. Excellent analytical and problem-solving abilities. Seeking entry-level opportunities to expand IT skills and contribute to the programs and enable organizations to deliver projects on time and budget.
Python Programming
SQL
Data Analysis
Data Visualization
Machine Learning
Qlik Sense
Azure Cloud
Smart Watch Data Analysis with Python, Project aims to explore and analyze activity and fitness data collected from smartwatches by using python libraries numpy, pandas, matplotlib, plotly.,
1.Data Collection: Gather data from smartwatches, including metrics like Calories, Total steps, Total distance and Activity date.,
2.Data Preprocessing: Clean and preprocess the data to handle missing values, normalize formats, and prepare it for analysis.,
3. Exploratory Data Analysis (EDA): Utilize visualizations and statistical methods to explore the dataset like Time series analysis of user activity and calories burned, Correlation between different metrics (e.g., calories vs total steps), Trends in user behavior over time.,
4.Visualization: Create interactive dashboards using libraries like Matplotlib, Plotly to present findings in an easily digestible format.