Detail-oriented Data Analyst with 6+ months of experience and 12 real-world projects across Power BI, Python ML, NLP & Supply Chain Analytics.
Passionate about turning raw data into meaningful business decisions.
I am a results-driven Data Analyst with 6 months of professional experience at IARDO, working on real-world business data using SQL, Python, and Power BI to drive strategic decisions.
Currently pursuing B.Tech in Computer Science at CCS University, Meerut. With 12 projects spanning Power BI dashboards, Python ML models, and NLP classifiers — each project tells a data story.
Tools and technologies I use to extract insights and build data solutions.
Complex queries, joins, aggregations, data extraction & transformation.
Pandas, NumPy, Scikit-learn for modeling & machine learning pipelines.
DAX, interactive dashboards, drill-downs & KPI tracking.
VLOOKUP, Pivot Tables, VBA macros & automated reporting.
Regression, classification, clustering & feature engineering.
Java, C, Git, VS Code & Jupyter with strong CS fundamentals.
Real-world data analytics, BI dashboards, ML models & NLP classifiers — all on GitHub.
Power BI dashboard analyzing gender representation, promotions, performance ratings & workforce diversity across departments.
Interactive Power BI dashboard tracking call center KPIs — customer satisfaction, answered vs abandoned calls, peak hours & agent performance.
Flipkart sales performance dashboard with monthly profit trends, payment mode analysis, state-wise distribution & top customer insights.
Comprehensive HR dashboard analyzing employee attrition by education, age, salary slab, job role & years at company across departments.
NLP-based spam detection system classifying SMS messages using TF-IDF vectorization with multiple ML models compared for accuracy.
Titanic survival classification using Random Forest Classifier on Kaggle dataset with feature engineering and model evaluation.
End-to-end supply chain analytics pipeline for a Gujarat-based FMCG company analyzing 24,195 order lines across March–May 2025, with automated KPI reporting.
My story — from classroom to real-world data impact.
Analyzed business data using Excel, SQL, and Python to generate actionable insights. Developed automated reporting systems reducing manual time by 40%. Performed ETL operations ensuring data quality for analytics.
Built predictive models using regression, classification, and clustering achieving 79% accuracy. Conducted EDA & feature engineering, presenting findings through visualizations and statistical reports.
Open to full-time Data Analyst roles, freelance projects, and collaborations. Let's turn data into decisions together.
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