About

Prajwal Rao is a highly skilled Machine Learning Engineer II at Swiggy with a passion for solving real-world business challenges using data analytics and code. He is a Big Data and ML Engineer with a Post Graduate Diploma in Data Science and over four years of relevant experience. Prajwal is proficient in programming and deploying machine learning and Deep learning models. He has a diverse technical skill set that includes ML, Python, AWS, Spark, Tensorflow, NLP, Computer Vision, Data Scientist, Deep Learning, SQL, Big Data, Javascript, Apache Hive, Databricks, Software Engineer, Hadoop, Sentiment Analysis, Jupyter, Random Forest, AI, Stemming, Bag of Words, Data Engineering, test, MySQL, Salesforce, Pytorch, GCP, Backend, Web, and infra, among others. Prajwal has worked for several companies, including American Express (AMEX), where he was a Big Data ML Engineer. During his time at AMEX, he built data pipelines to clean and process 15tb third-party raw data. He also used complex string matching and cleaning algorithms such as bloom filter, levenshtein, and hamming distance to clean and enrich the data. Prajwal also worked with clustering with graphx to group and match 3rd party and internal data. He used Spark, Scala, Python, and Hive for these projects. Before joining AMEX, Prajwal was a Software Engineer at Tech Mahindra, where he developed a POC for British telecom Alexa Skill using AWS lambda (Node.js). He also successfully built and deployed an RPA bot to interconnect Salesforce and SharePoint (Rest API). Prajwal delivered reports and dashboards in Tableau for worldwide network usage of Pepsico for British telecom (Python, Tableau). Prajwal has a strong educational background, including a Post Graduate Diploma in Data Science from IIIT Bangalore and a Bachelor of Technology in Electrical and Electronics Engineering from Dayananda Sagar University. He also attended Kendriya Vidyalaya and Acharya Vidya Kula for his pre-university education. Overall, Prajwal is a highly skilled and motivated Machine Learning Engineer with a diverse technical skill set and a passion for solving real-world business challenges using data analytics and code.