Hi there! Iβm 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 Masterβs 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 Masterβs Thesis focused on Explainable AI (XAI) and BERT models to enhance transparency in medical transcription systems.
Iβm passionate about solving complex data challenges, optimizing business processes, and leveraging cloud technologies (AWS, GCP) to drive data-driven decision-making.
π Data Engineering & Analytics: ETL pipelines, data warehousing, cloud computing (AWS, GCP)
π Business Intelligence & Reporting: Power BI, Tableau, Looker
π€ Machine Learning & AI: Predictive analytics, customer segmentation, NLP
π§ Big Data & Streaming: Apache Spark, Kafka, Airflow, Snowflake, Databricks
πΉ Programming & Databases: Python, SQL, MySQL, Hive, MongoDB, Cassandra
πΉ Data Engineering: Apache Kafka, Spark, Airflow, Hadoop, Snowflake, Databricks
πΉ Business Intelligence: Power BI, Tableau, Looker, Excel
πΉ Cloud Technologies:
β’ AWS: Redshift, Glue, Lambda, Athena, S3, RDS, Kinesis, SNS, SQS, Step Functon
β’ GCP: BigQuery, Dataflow, Dataproc, Pub/Sub, Looker
πΉ Machine Learning: Scikit-learn, NLP, Predictive Modeling
π Real-Time E-Commerce Data Pipeline (Kafka, Spark, Power BI)
π ETL Pipeline for Walmart Sales Data (BigQuery, Airflow)
π Food Delivery Time Prediction (XGBoost, Streamlit, OpenCage API)
π Train Ticket Booking Data Pipeline (Pub/Sub, Dataflow, Looker)
π Amazon Sales Data Analysis Dashboard (Power BI, SQL)
π§ Email:
(kaushik.puttaswamy123@gmail.com)
π Always learning, building, and solving data-driven challenges! π