About

Pranay Deep is a data enthusiast with a strong understanding of data and business analysis. He is proficient in performing visualization and deriving valuable insights from large data sets to improve technical efficiency in business operations. He is an active communicator with an eye for detail, and the ability to work and perform well in a team. Pranay has a diverse technical skill set, including programming languages such as Python, Javascript, and Java, and databases such as SQL (MySQL, PostgreSQL) and MongoDB. He is skilled in exploratory data analysis and visualization using tools such as Power BI, Tableau, and Google Analytics. He has expertise in ML & Data Science, including data sourcing, cleaning, transformation, feature engineering, analysis, and modeling. He also has experience in machine learning modeling and natural language processing, big data, and ETL using tools such as Hadoop and Py spark. Currently, Pranay works as a React Developer at Stikbook Inc, where he assisted in migrating traditional HTML web modules to React modules. He was also part of software field and UAT testing to verify the performance of Stikbook’s proprietary social media application. He documented and reported daily updates to the upper management through the usage of the scrum for better stakeholder management. In the past, Pranay worked as a Junior Business Analyst at Deep Distributors, where he created and implemented an incentive program for the staff based on their sales and performance. He also created an inventory management system based on user demand and implemented a comprehensive customer support plan, including timely response and resolution timelines. He created and maintained databases and data migration systems. Pranay also worked as a Summer Trainee at Hewlett Packard. Pranay holds a Bachelor of Engineering from Chandigarh University and is currently pursuing an Ontario Graduate Certificate from Lambton College. He has a relevant experience of 1.60 years and possesses a diverse tech stack, including ML, SQL, NLP, Spark, Web, Big Data, Javascript, Data Scientist, MySQL, MongoDB, Hadoop, ETL, Python, and Java.