🧠 Data Analytics Internship – Oasis Infobyte (OIBSIP)

📆 Duration: 5 Weeks
📍 Internship Provider: Oasis Infobyte (OIBSIP)
📂 Domain: Data Analytics

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🔧 Tools & Technologies

• Python, Pandas, NumPy, Seaborn, Matplotlib, Scikit-learn
• Google Colab

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📊 Completed Projects

✅ Task 1: Retail Sales Analysis

Goal: Analyze retail sales data for business insights
Key Skills: Data cleaning, visualization, bar plots, pie charts
📁 Task 1 Code

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✅ Task 2: Wine Quality Prediction

Goal: Predict wine quality using ML classification
Models Used: Random Forest, SGD, SVC
📁 Task 2 Code

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✅ Task 3: House Price Prediction

Goal: Predict house prices using Linear Regression
Key Skills: EDA, feature scaling, regression metrics
📁 Task 3 Code

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✅ Task 4: Customer Segmentation

Goal: Segment customers using K-Means clustering
Key Skills: Clustering, elbow method, visualization
📁 Task 4 Code

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✅ Task 5: NYC Airbnb Data Cleaning

Goal: Clean & analyze NYC Airbnb dataset
Focus: Missing values, duplicates, outliers, correlation
📁 Task 5 Code

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🎓 Internship Outcome

• Successfully completed 5 real-world projects.
• Applied data cleaning, analysis, clustering, and prediction techniques.
• Improved skills in EDA, ML models, and data storytelling.