BTech undergraduate with a minor in AI & ML with hands-on experience in machine learning, Power BI dashboards, and data analysis; seeking Data Analyst or Data Science internship roles.
<p>Completed intensive training in Data Science, EDA, Power BI, and Machine Learning., Cleaned and analyzed 40K+ records to improve data accuracy and usability.</p><p>Built interactive Power BI dashboards with DAX measures, KPIs, filters, and slicers.</p><p>Developed and deployed a Movie Recommendation System using content-based filtering with Streamlit.</p>
<p>Completed intensive training in Data Science, EDA, Power BI, and Machine Learning.<br>
Cleaned and analyzed 40K+ records to improve data accuracy and usability.<br>
Built interactive Power BI dashboards with DAX measures, KPIs, filters, and slicers.<br>
Developed and deployed a Movie Recommendation System using content-based filtering with Streamlit.</p>
<p>Built interactive Power BI dashboard, Evaluated 50K+ sales records to track revenue, profit, and growth. Created 8+ KPIs using DAX, slicers, and drill-downs.</p>
<p>Reviewed 100K+ transactions to identify spending patterns, fraud-related indicators using DAX and data modeling to deliver insights for financial analysis.</p>
<p>Created a regression-based sales prediction model using historical sales and product data. Handled missing values, categorical encoding, and outliers; trained models such as Linear Regression and Gradient Boosting. Analyzed sales trends to support business decision-making.</p>
<p>Trained churn prediction models using Logistic Regression, Random Forest, XGBoost. </p><p>Performed EDA and feature engineering; evaluated models using F1-score and recall.</p><p>Achieved ~95% accuracy.</p>
<p>Built a content-based recommendation engine using Python and Scikit-learn.</p><p>Performed feature extraction and cosine similarity analysis.</p><p>Deployed the application using Streamlit for real-time recommendation. </p>
<p>Designed an interactive dashboard to track KPIs and performance metrics using data cleaning, calculations for actionable insights for 30K+ records.Created KPIs using DAX, slicers, and drill-downs.</p>
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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