Suhail Mohmed Sadik Patel

Detail-oriented and analytical Computer Science and Mathematics final year student with a strong foundation in data science and machine learning. Experienced in developing predictive models, analyzing large datasets, and creating data visualizations. Passionate about leveraging data to drive business insights and decision-making.

Credit Risk Assessment for Loan Approvals | Python, Pandas, Scikit-Learn, Flask, Seaborn, Matplotlib, Power BI, SQL

Description: Developed a credit risk assessment model to evaluate loan applications for a fintech company, reducing default rates and improving loan approval processes.

Key Tasks:

• Collected, cleaned, and analyzed customer data (demographics, financial history, credit scores) to identify key risk factors.
• Built and evaluated machine learning models (Logistic Regression, Random Forest) and deployed the model using a Flask API for real-time assessment.
• Created interactive dashboards with Power BI for presenting risk assessments to stakeholders.

Real-time Traffic Flow Prediction Using IoT Data | Python, Pandas, Scikit-Learn, TensorFlow, Flask, React, MySQL, AWS

Description:Developed a real-time traffic flow prediction system using data from IoT sensors to improve traffic management and reduce congestion in a metropolitan area.

Key Tasks:

• Collected and processed data from IoT sensors, weather APIs, and historical traffic data, and performed exploratory data analysis.
• Built and optimized time series models (ARIMA, LSTM, Prophet) for real-time predictions and deployed the model using a Flask API.
• Created an interactive web-based dashboard with React for visualizing traffic conditions and future predictions.

Introduction to Large Language Models (LLM)

simplilearn

July 2024

Power BI for beginners

simplilearn

July 2024

Data Science & Analytics

hp LIFE

June 2024

Artificial Intelligence Fundamentals

IBM SkillsBuild

June 2024

Data Analytics Essentials

CISCO Networking Academy

May 2024