Educational Background: Currently pursuing a Bachelor of Technology in Computer Science and Engineering (Lateral Entry) at Lovely Professional University, Phagwara (2023-2026). Specialized in Object-Oriented Programming, Data Structure, R Programming, and Java.
Technical Proficiency: Strong skills in Data Science, Machine Learning, Data Analysis, and Data Visualization. Proficient in Python, R, SQL, PowerBI, Tableau, C++, Java, and various data science tools such as Pandas, Numpy, and TensorFlow. Familiar with cloud technologies like AWS and DevOps practices.
Professional Experience: Currently working as a Data Scientist at Synex.AI, leveraging Python, Keras, TensorFlow, and Tableau. Previously interned at InternsElite as a Data Science Intern, where she gained hands-on experience with Scikit-learn, Pandas, and data visualization.
Freelancing and Projects: Worked as a freelance Data Analyst from 2022 to 2024, creating interactive dashboards for multiple clients using PowerBI, Tableau, Excel, and R. Developed 25+ projects, including a body shape classification and recommendation web app using Streamlit and TensorFlow.
Key Projects: Notable projects include a restaurant management system, interactive dashboards (PowerBI, Tableau, R), and a body shape classifier using ML models like ResNet50. Demonstrated strong technical expertise in data-driven web development and analytics.
Achievements and Certifications: Recognized as a pre-finalist in the Myntra HackerRamp competition for developing a body type classifier. Holds over 20 certifications in IT fields, including Machine Learning, Data Science, and Computer Networking, from organizations like Google and GeeksforGeeks.