About
B.Sc. Artificial Intelligence & Machine Learning graduate with hands-on experience in data analysis, data cleaning, data preprocessing, and data quality validation using Python, Pandas, NumPy, SQL, Excel, and Power BI. Strongly analytical and detail-oriented, with project experience in transforming data into actionable insights for business decision making.
Education
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B.Sc. Artificial Intelligence & Machine LearningArtificial Intelligence & Machine Learning · 2023 – 2026
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Higher Secondary School (HSC)Corporation Higher Secondary School – Okkiliyar ColonyComputer Applications · 2021 – 2023
Skills
- SQL
- Artificial intelligence
- Data Analysis
- Data Engineering
- Data Extraction
- Data Preprocessing
- Generative AI Tools
- Automation
- Python
- Machine Learning
- Data Cleaning
- NumPy
- Pandas
- Reporting
- Data validation
- Trend analysis
- Data Reconciliation
- Exploratory Data Analysis
- Natural Language Processing
- KPI Analysis
- Data classification
- Data Standardization
- Data Documentation (Xplan, AdviceTrack)
Projects
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Employee Attrition & Retention AnalyticsSQL, Microsoft Excel, Power BI
Analyzed employee attrition patterns across departments, tenure bands, and compensation levels to identify high-risk employee segments. Cleaned HR data, calculated attrition KPIs using SQL, and visualized retention metrics through a dashboard with recommendations.
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E-Commerce Revenue & Customer Experience OptimizationSQL, Microsoft Excel, Power BI
Analyzed 100K+ e-commerce orders from the Olist Brazilian E-Commerce dataset to evaluate revenue, sales performance, and customer purchasing behavior across products and categories. Cleaned and validated transactional data, queried KPIs in SQL, and built a Power BI dashboard to visualize revenue and customer experience insights.
Courses & certifications
- Exploring Data · IBM SkillsBuild
- Exploring Artificial Intelligence · IBM
- Object-Oriented Programming (OOPs) in Python