I am a data science enthusiast that thrives on adding value to a business through data science and engineering. I look for data-driven applications that have a positive impact. I also enjoy being involved in business strategy discussions and working with people from all types of backgrounds. I started my career as a Data Science Intern at Redcarpet. My primary work there included statistical analysis, feature engineering, and automating credit scores using machine learning techniques. I learned how to discover hidden information from a vast amount of data to deliver a better business product to derive insights that help to serve customers better. After that, I got the opportunity to work as a Machine Learning Engineer at Scanta. My responsibilities there included transforming natural language data into useful features, developing NLP systems according to requirements, training the developed models, and performing evaluations on different kinds of metrics.Currently, I am working as a Data Science Engineer at Greendeck/Cliff. My primary work here includes creating and maintaining data pipelines, data cleaning, and building distributed data crunching systems using stacks like Celery, Kafka, and Redis. Performing rule-based product matching using ElasticSearch and Kibana.At the end of the day, I aspire to be the happiest, the most successful, and the best version of myself.