Data Science fresher with a strong foundation in Python, SQL, and machine learning. Certified in Data Science from GUVI IITM with hands-on experience in predictive modeling, statistical analysis, and data visualization. Passionate about building scalable data-driven solutions to support IT business decision making. Innovative technology professional with several years of diverse experience. Skilled in enhancing systems and aligning technical solutions with business objectives. Proven success in leading projects from start to finish and contributing to organizational growth and success. Hardworking and passionate job seeker with strong organizational skills eager to secure entry-level position. Ready to help team achieve company goals.
B.E. Degree (Electronics and Communication Engineering, 2025)
Data Science Certification (GUVI Zen Class – Data Science & AI)
+ Real-world Projects
Programming Languages (Python, SQL)
+ Tools & Libraries (Pandas, NumPy, Scikit-learn, Matplotlib)
Data Science & Machine Learning
Data Analysis & Visualization
Problem-Solving with Data
I have completed my B.E. in Electronics and Communication Engineering. Alongside, I developed a strong interest in Data Science and upskilled myself through GUVI’s Zen Class program. I have learned Python, SQL, Machine Learning, and Data Analysis, and worked on real-world projects like analyzing PhonePe transaction data and Amazon Music clustering. I also make it a habit to learn from online resources, practice coding daily, and apply my knowledge to projects to strengthen my skills.
Programming & Data Handling: Python (pandas, NumPy, matplotlib, seaborn), SQL
Machine Learning & AI: scikit-learn, supervised & unsupervised ML, clustering
Deep Learning: Basics of TensorFlow / Keras (neural networks, image & text data)
Natural Language Processing (NLP): Text preprocessing, tokenization, basic sentiment analysis
Data Visualization Tools: Streamlit, Matplotlib, Seaborn, Power BI
Databases: PostgreSQL, MySQL
Version Control: Git, GitHub
Other Tools / IDEs: Jupyter Notebook, Google Colab, VS Code, PyCharm, Excel