I am an aspiring Data Analyst and Data Science student, building strong foundations in data analysis, statistics, and data visualization. I am passionate about transforming raw data into meaningful insights and gradually expanding my knowledge toward advanced analytics and machine learning.
I am an aspiring Data Analyst currently pursuing my Master's in Data Science from Chandigarh University (Expected: August 2027). I have completed my BCA from SDJ International College, Surat with 8.61 CGPA.
My journey in data analytics has been driven by curiosity and a passion for uncovering insights from complex datasets. I focus on exploratory data analysis, data visualization, and generating actionable business insights.
I am actively working on real-world projects analyzing Indian e-commerce sales, startup funding trends, and creating interactive dashboards using Power BI. My goal is to leverage data to support informed decision-making.
Chandigarh University
Expected Completion: August 2027
SDJ International College, Vesu, Surat
CGPA: 8.61
Commerce Stream
Percentage: 90.71%
Percentage: 75%
Secure a position where I can work with real-world datasets, perform exploratory data analysis, and generate meaningful insights to support business decisions.
Grow into a Data Scientist by strengthening skills in machine learning, advanced analytics, and data-driven problem solving while working on impactful projects.
• Analyzed Walmart sales data to understand branch-wise performance and category trends
• Used SQL for querying transactional data and Python for data cleaning and analysis
• Built an interactive Power BI dashboard to visualize key business metrics
Tools: Python, SQL, Pandas, Power BI
• Analyzed ride data to identify demand patterns across time and locations
• Explored peak hours, ride frequency, and usage trends using Python
• Visualized insights to support data-driven decision making
Tools: Python, Pandas, Matplotlib, Seaborn
• Analyzed sales trends, customer behavior, and delivery performance
• Performed data cleaning and exploratory data analysis on real-world datasets
• Identified revenue drivers and operational gaps
Tools: Python, Pandas, Matplotlib, Seaborn
• Built an interactive Power BI dashboard to analyze content distribution and genres
• Visualized key metrics to communicate insights clearly
• Focused on usability and decision-making support
Tools: Power BI, Excel, Dashboard Design
• Completed structured data analysis tasks as part of a professional internship
• Worked with real-world datasets to extract meaningful insights
• Applied data cleaning, analysis, and visualization techniques
Tools: Python, Pandas, Data Analysis
Thank you for reaching out. I'll get back to you soon.