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🚀 Excited to share my latest Big Data project! 📊 End-to-End Big Data Analytics with PySpark | NYC Yellow Taxi Dataset I worked with a massive dataset containing 12.7 million records and built a complete PySpark pipeline for scalable data processing and analysis. 🔹 Created a Spark Session and loaded large-scale CSV data efficiently. 🔹 Performed Exploratory Data Analysis (EDA) on millions of records. 🔹 Conducted missing value analysis and data cleaning. 🔹 Generated descriptive statistics and business insights. 🔹 Analyzed payment patterns and trip distances. 🔹 Calculated total revenue from taxi rides. 🔹 Engineered new features such as trip duration. 🔹 Saved processed data for downstream applications. 🔹 Built a Machine Learning model using PySpark MLlib for fare prediction. 📈 Key Highlights: ✅ 12,748,986 records processed ✅ 19 features analyzed ✅ Distributed data processing with PySpark ✅ Feature Engineering ✅ Data Cleaning & Transformation ✅ Aggregations and Business Insights ✅ Machine Learning with Spark MLlib ✅ Scalable Big Data Pipeline 🛠 Tech Stack: Python | PySpark | Spark SQL | PySpark MLlib | Big Data Analytics | Feature Engineering | Machine Learning | Kaggle I'm actively seeking opportunities in: 🔹 AI Engineering 🔹 Machine Learning 🔹 Data Science 🔹 Data Analytics 🔹 Big Data Engineering 🔹 Python Development Open to collaborations, freelance projects, and full-time opportunities. #PySpark #ApacheSpark #BigData #DataEngineering #DataScience #MachineLearning #Python #AI #ArtificialIntelligence #Analytics #SparkSQL #MLlib #FeatureEngineering #DataAnalytics #Kaggle #OpenToWork #Hiring #Freelance #DataEngineer #AIEngineer #MLOps #PythonDeveloper #BusinessIntelligence #ETL #DataCleaning #DataVisualization #SoftwareEngineering #GenerativeAI #LLM #DeepLearning

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Understanding Spark Architecture: The Way I Wish Someone Had Explained It to Me. #ApacheSpark #DataEngineering #BigData #PySpark #DistributedSystems #DataArchitecture linkedin.com/posts/puneet-kh…

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🚀 Aspire to be a Machine Learning Engineer? Follow this roadmap to master ML with Apache Spark! 🌟 buff.ly/QJMst0M #MachineLearning #ApacheSpark #Python #TensorFlow #DataScience #100DaysOfCode

Today I learned how data transformations turn raw data into meaningful insights. ✅ Select columns ✅ Filter records ✅ Create new columns ✅ Prepare clean datasets for analysis The more I learn, the more I understand that clean data is the foundation of good analytics. #Databricks #ApacheSpark #DataEngineering #DataScience #LearningInPublic

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