Junior Data Analyst with hands-on experience in SQL, Power BI, Excel, and Python, specializing in data cleaning, visualization, and business reporting. Built HR analytics dashboards and AI-assisted complaint classificati…
Junior Data Analyst with hands-on experience in SQL, Power BI, Excel, and Python, specializing in data cleaning, visualization, and business reporting. Built HR analytics dashboards and AI-assisted complaint classification systems delivering measurable operational improvements. Strong foundation in transforming raw data into actionable insights and supporting data-driven decision-making.
<ul><li>Built end-to-end analytics and ML projects including Credit Card Fraud Detection and HR Analytics Dashboard.</li><li>Cleaned, processed, and analyzed 1K+ HR records using Excel and SQL Server to identify attrition trends and salary gaps.</li><li>Developed interactive Power BI dashboards to visualize workforce metrics, performance indicators, and high-attrition areas.</li><li>Created fraud detection models using Python and Scikit-learn; performed preprocessing, feature scaling, and evaluation (precision, recall, F1-score)., Strengthened skills in SQL querying, data preprocessing, visualization, and model evaluation through hands-on project work.</li></ul>
<ul><li>Gained practical exposure to Generative AI, neural networks, and LLM concepts applied to business workflows.</li><li>Built and extended SAP applications using SAP CAPM, SAP Build Process Automation, and BAS.</li><li>Implemented AI Agents, RAG, and prompt engineering to support SAP S/4HANA workflow optimization.</li><li>Collaborated on integrating analytics and automation features into SAP-based applications.</li></ul>
<p>Built end-to-end analytics and ML projects including Credit Card Fraud Detection and HR Analytics Dashboard.<br>
Cleaned, processed, and analyzed 1K+ HR records using Excel and SQL Server to identify attrition trends and salary gaps.<br>
Developed interactive Power BI dashboards to visualize workforce metrics, performance indicators, and high-attrition areas.<br>
Created fraud detection models using Python and Scikit-learn; performed preprocessing, feature scaling, and evaluation (precision, recall, F1-score).<br>
Strengthened skills in SQL querying, data preprocessing, visualization, and model evaluation through hands-on project work.</p>
<p>Tools: Python, Pandas, NumPy, Scikit-learn, Matplotlib </p><ul><li>Developed predictive models using Logistic Regression and Random Forest to classify fraudulent and legitimate transactions. </li><li>Conducted exploratory data analysis, feature engineering, and model evaluation using precision, recall, F1-score, and accuracy metrics.</li><li>Implemented automated prediction logic to simulate real-time fraud detection scenarios. •Improved fraud identification reliability through model tuning and performance comparison.</li></ul>
<ul><li>Analyzed 1,000+ employee records to identify trends in attrition, performance, and compensation across departments.</li><li>Designed KPI-driven Power BI dashboards to monitor workforce distribution, attrition rate, and salary gaps, enabling management to take data-informed decisions. </li><li>Performed data cleaning, transformation, and validation using Excel and SQL to ensure reporting accuracy and consistency.</li><li>Delivered actionable insights highlighting high-attrition roles and underpaid job bands, supporting HR planning and retention strategies.</li></ul>
<ul><li>Built an end-to-end complaint analytics solution to automatically categorize customer issues and route them to relevant departments.</li><li>Processed unstructured complaint text data using Python and NLP techniques to extract meaningful insights.</li><li>Designed operational Power BI dashboards to track complaint volume, resolution status, and department-wise trends in real time.</li><li>Reduced manual complaint routing time from hours to seconds through automated classification, improving response efficiency and visibility.</li><li>Collaborated on frontend (SAP UI5) and backend (SAP CAPM) integration to deliver a production-style analytics workflow. </li></ul>
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