Hi there! I’m Kaushik Puttaswamy, a Data Analyst & Aspiring Data Engineer with 3.5+ years of experience in E-Commerce, Data Engineering, and Machine Learning.
I recently completed my Master’s in Data Science at IU International University, Berlin and have expertise in building scalable data pipelines, real-time analytics, ETL workflows, and machine learning solutions. My Master’s Thesis focused on Explainable AI (XAI) and BERT models to enhance transparency in medical transcription systems.
I’m passionate about solving complex data challenges, optimizing business processes, and leveraging cloud technologies (AWS, GCP) to drive data-driven decision-making.
🚀 Data Engineering & Analytics: ETL pipelines, data warehousing, cloud computing (AWS, GCP)
📊 Business Intelligence & Reporting: Power BI, Tableau, Looker
🤖 Machine Learning & AI: Predictive analytics, customer segmentation, NLP
🔧 Big Data & Streaming: Apache Spark, Kafka, Airflow, Snowflake, Databricks
🔹 Programming & Databases: Python, SQL, MySQL, Hive, MongoDB, Cassandra
🔹 Data Engineering: Apache Kafka, Spark, Airflow, Hadoop, Snowflake, Databricks
🔹 Business Intelligence: Power BI, Tableau, Looker, Excel
🔹 Cloud Technologies:
• AWS: Redshift, Glue, Lambda, Athena, S3, RDS, Kinesis, SNS, SQS, Step Functon
• GCP: BigQuery, Dataflow, Dataproc, Pub/Sub, Looker
🔹 Machine Learning: Scikit-learn, NLP, Predictive Modeling
📌 Real-Time E-Commerce Data Pipeline (Kafka, Spark, Power BI)
📌 Crypto Data Processing and Analysis Pipeline (AWS Glue, Lambda, Kinesis, DynamoDB, Athena, QuickSight, Apache Hudi)
📌 ETL Pipeline for Walmart Sales Data (BigQuery, Airflow)
📌 Food Delivery Time Prediction (XGBoost, Streamlit, OpenCage API)
📌 Train Ticket Booking Data Pipeline (Pub/Sub, Dataflow, Looker)
📌 Amazon Sales Data Analysis Dashboard (Power BI, SQL)
📧 Email: 
🔗 GitHub:
🔗 LinkedIn:
📜 Portfolio:
🔗 HackerRank:
🚀 Always learning, building, and solving data-driven challenges! 🚀