I am a recent B.tech graduate with a strong academic background in Computer Science. Throughout my education, I have developed a passion for IT and a drive to contribute to the success of organizations. I am eager to learn, grow, and make a positive impact while gaining practical experience.
During my studies, I have gained valuable skills in programming languages such as C, Java, HTML, Python, and SQL. I am also proficient in using GitHub and have experience with PySpark. Additionally, I have completed a hands-on program in machine learning and data science using Python, where I worked on web applications and cloud deployment using IBM Cloud and Watson Studio.
During my internships and projects, I have demonstrated my ability to apply my skills to real-world scenarios. I developed a machine learning model to predict liver disease and integrated it into a Flask web application. I also completed a Salesforce Developer virtual internship, where I mastered Apex programming, LWC, and Salesforce APIs, earning several Salesforce Super Badges. Furthermore, I built a VGG16 deep learning model for car damage detection and a facial recognition system using dlib for face detection and recognition.
In addition to my technical skills, I have also developed strong analytical abilities. I have leveraged Microsoft Excel for data analysis in a sales project, utilizing sorting, filtering, and functions to manipulate and enrich data. I have also gained experience in data summarization and comparison through the creation of PivotTables. These experiences have provided me with a strong foundation for future data analysis endeavors.
