Sohan Mohammad

Data Analyst with hands-on internship experience building ML-driven analytics solutions and BI dashboards using Python, SQL, and Power BI. Experienced in end-to-end analysis workflows — data cleaning, EDA, feature engineering, and dashboard development — on datasets exceeding 50,000 records. 2026 graduate in AI & ML engineering (CGPA 8.09/10) seeking to apply data analysis and visualization skills to drive business decisions.

Data Analyst Intern (AI & ML) - Infosys - Hyderabad

(2025-09 - 2025-12)

• Performed end-to-end analysis for a Loan Eligibility Prediction project using Python and SQL, delivering a classification model with 78% accuracy.
• Conducted EDA and feature engineering, then trained and compared Logistic Regression, Decision Tree, and Random Forest models to identify the best-performing algorithm.
• Built an interactive Streamlit dashboard integrated with an AI chatbot, enabling faster self-service resolution of data-driven queries.

Emerging Technologies Trainee - SAP - Hyderabad

(2024-01 - 2026-01)

Training Program (Non-Employment)

• Completed structured technical training in SAP ABAP (2024–2025) and SAP HANA (2025–2026), alongside foundational modules in Machine Learning, Deep Learning, and Computer Vision.
• Applied SAP HANA, SAP ABAP, and SAP BTP concepts to enterprise analytics use cases as part of hands-on training exercises.

B.E. - Artificial Intelligence and Machine Learning - Nawab Shah Alam Khan College of Engineering & Technology (2022-01 - 2026-01)