Motivated Statistics graduate with a strong foundation in data analysis, visualization, and interpretation. Passionate about turning complex data into actionable insights to support strategic decision-making and drive organizational growth.
Open CVI enjoy working with data, drawing insights from it, and continuously improving myself by learning and applying new analytical skills.
I believe in constantly updating myself by learning something new with practical Implementations.
In my free time I like to do some problem solving on various Competetive Coding platforms.
I have acquired knowledge of Data Analysis through continuous self-learning and hands-on practice
with real-world datasets.
I have gained knowledge of Python, SQL, Excel, Power BI, and data visualization through self-learning and hands-on projects.
Links to some of the platforms I work on-
• Performed exploratory data analysis (EDA) on California’s housing data to uncover trends in income, housing age, and geography.
• Handled missing data using deletion and mean imputation techniques, and created custom features like bedroom size categories.
• Built interactive visualizations (histograms, scatter plots, geo-maps) to highlight patterns and correlations for actionable insights.
Tech Stack : Python, Pandas, NumPy, Matplotlib, Seaborn, Jupyter Notebook
• Developed a comprehensive and interactive dashboard to analyze employee attrition, salary trends, job satisfaction, and departmental performance for strategic HR decision-making.
• Utilized Power Query for data cleaning and transformation, and applied DAX to create dynamic KPIs and calculated insights.
• Delivered actionable visuals with slicers and filters to help stakeholders identify key workforce patterns and retention risks.
Tech Stack : Power BI, Power Query, DAX
• Created an interactive sales dashboard to visualize trends, profitability, and performance across products, customers, and regions.
• Utilized Pivot Tables and Charts to design dynamic visuals, enabling real-time filtering and deep insights into monthly and yearly sales data.
• Transformed raw sales data (2014–2017) into actionable business insights by applying effective data cleaning and structured reporting techniques.
Tech Stack : Microsoft Excel, Pivot Tables, Charts, Data Cleaning
Showcasing your talent in the form of functioning projects is much better than adding just another certification in your resume.