Abhishek Kulal

• Engaged in a comprehensive full-stack internship, actively contributing to the development of a Prescription Dashboard project.
• Utilized React for the development of dynamic and responsive front-end interfaces, enhancing user experience.
• Applied Node.js for building scalable and efficient server-side components, ensuring seamless communication between the front-end and back-end.
• Implemented and maintained a MySQL database to store and retrieve prescription data, ensuring data integrity and efficient querying.

Worked alongside the team to conceptualize, construct, and execute characteristics of code; attaining invaluable experience in end-to-end software lifecycle.

• Completed data science internship at Oasis Infobyte and positively contributed to 5 impactful projects.
• Led development of Car Price Prediction model using machine learning techniques, showcasing regression analysis and model deployment proficiency.
• Implemented Email Spam Detection system by applying machine learning algorithms to enhance email security and effectively filter out spam messages.
• Contributed to the Iris Flower Classification project, showcasing skills in classification algorithms and statistical analysis.
• Utilized Python to analyze data and predict sales trends, contributing significantly to Sales Prediction.
• Conducted Unemployment Analysis with Python, utilizing data visualization and statistical methods to derive meaningful insights for policy considerations.

• Coursework in Operating system,Algorithms,Gen AI,Relational Database
• Awarded a Certificate of Achievement by the college in recognition and appreciation of proactive engagement in diverse skill-building endeavors throughout the college journey.