About

Sanjay V is a highly skilled data professional with a unique blend of software engineering, machine learning, and business analysis expertise. He holds a bachelor's degree in Mechatronics engineering and has exceeded learning by completing 10+ courses and certifications related to data in a year. He has 1+ years of industry experience as a data science practitioner and has dealt with end-to-end analytics projects that involved data analysis, data engineering, data visualization, data modeling, and machine learning model deployment to tackle business issues. Sanjay is proficient in programming languages such as Python, SQL, R, and Tableau. He has experience working with big data tools and frameworks such as Pyspark, Hadoop, Hive, Flask, Heroku, AWS (S3, Lambda, Redshift, Glue, Lex, EMR & CloudWatch), and Apache (Spark & Kafka). He is also skilled in various VCS, DevOps, and miscellaneous tools such as VSCode, Git, Docker, Postman, DB Browser, MongoDB, and SQLAlchemy. His machine learning skills include Linear & Logistic Regression, Random Forest, K-means Clustering, Hierarchical Clustering, and Feature Engineering. Sanjay has domain expertise in enterprise data analytics, sales and marketing analytics, customer segmentation, and product analysis. He possesses excellent soft skills such as mentorship, leadership development, business acumen, team player, communication skills, storytelling, and critical thinking. Currently, Sanjay is working as a Software Engineer and Data Engineer at vuedata. He has collected 10,000+ rows of customer metadata from Amazon Kinesis stream in Amazon S3, and pushed decoded version of metadata to MySQL database using PySpark for customer segmentation. He has also collected 60,000+ rows of customer shipment data from Ship Station API and pushed it to Amazon Redshift by scheduling a trigger function in AWS Lambda for customer segmentation concerning shipment detail analysis. Additionally, he extracted 50,000+ rows of customer product purchase data, transformed, loaded data from MySQL database, and pushed it to Amazon Redshift by scheduling AWS Glue jobs to track customer data for product analysis. Sanjay has previously worked as a Software Engineer Intern at vuedata, where he created interactive Tableau dashboards and periodic reports for analyzing sales of the products in the market to track customer choice of products. He also built an automated Chatbot using Amazon Lex that accepts 1000+ requests at a time and performs tasks like change in subscription