About Me

Data Analyst

I am Iswariya, a passionate and results-driven Data Analyst with a strong foundation in transforming complex datasets into actionable insights that drive informed decision-making. Skilled in tools such as Excel, SQL, Power BI, and Python, I excel at data cleaning, analysis, and visualization to identify trends and opportunities for business growth. My expertise lies in developing intuitive dashboards, conducting in-depth analyses, and communicating findings effectively to stakeholders across technical and non-technical backgrounds. With a commitment to continuous learning and a deep curiosity for leveraging data to solve real-world challenges, I strive to empower organizations by making data-driven insights accessible, impactful, and strategic.

Projects

Power BI Projects

Employee Attendance Dashboard

Developed a Power BI dashboard to monitor employee attendance, track absenteeism, and visualize attendance trends, helping HR teams optimize resource management.

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Amazon Sales Dashboard

Created an interactive sales dashboard in Power BI to analyze Amazon sales data. Provided insights on sales performance, revenue trends, and top-selling products over time.

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HR Analysis Dashboard

Designed a Power BI dashboard to analyze HR data, focusing on employee retention, churn analysis, and performance metrics to support strategic decision-making.

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Project Management Dashboard

Built a dashboard in Power BI to track project milestones, deadlines, and resource allocation. Helped managers visualize project progress and optimize workflows.

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Food and Beverage Sales Dashboard

Created a sales dashboard in Power BI for the food and beverage industry to analyze daily sales, forecast demand, and identify top-performing products.

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Python Projects

Netflix Analysis

Performed a comprehensive analysis of Netflix’s dataset using Python. Extracted insights on genre popularity, content release trends, and user behavior to identify viewer patterns.

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Credit Card Fraud Detection

Developed a machine learning model in Python to detect fraudulent credit card transactions with high accuracy. Used scikit-learn for modeling and validation.

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Diabetes Prediction

Built a Python-based predictive model to diagnose diabetes using patient data. Utilized logistic regression and decision trees to achieve accurate predictions.

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SQL Projects

Instagram User Analytics

Analyzed Instagram user data using SQL to identify user engagement patterns and optimize content strategies.

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Operation Analytics

Utilized SQL to analyze operational data and derive insights for improving business processes and efficiency. Conducted investigations into unexpected spikes in metrics using SQL to identify potential causes and mitigate issues.

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Excel Projects

Hiring Process Analytics

Analyzed hiring data using Excel to optimize recruitment strategies and improve the efficiency of the hiring process.

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IMDB Movie Analysis

Performed analysis on IMDB movie data using Excel to uncover trends in movie ratings, genres, and box office performance.

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Bank Loan Case Study

Analyzed bank loan data using Excel to assess loan approval criteria, identify key factors affecting loan defaults, and optimize loan management strategies.

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Analyzing the Impact of Car Features on Price and Profitability

Conducted analysis using Excel to determine how car features, such as engine type, fuel efficiency, and brand, influence pricing and profitability.

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ABC Call Volume Trend Analysis

Used Excel to analyze the call volume trends for ABC company, identifying peak call times and optimizing resource allocation to improve call handling efficiency.

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