About
Aspiring Computer Science graduate with a strong foundation in data science, machine learning, and analytics, passionate about leveraging technology to solve real-world problems. Proven ability to develop innovative AI/ML solutions, analyze complex datasets, and visualize insights. Seeking a challenging IT role to contribute to cutting-edge projects while continuously learning and growing in a dynamic environment.
Work
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Summary
Completed a virtual internship focused on foundational Python, data science, and AI principles, culminating in practical model development and data visualization.
Highlights
Developed foundational proficiency in Python, data preprocessing, machine learning algorithms, and AI principles through guided virtual training modules.
Executed model development, performance evaluation, and data visualization using Pandas, NumPy, and Scikit-learn to analyze datasets.
Enhanced critical thinking, remote collaboration, and technical communication through active participation in peer discussions and mentor-led sessions.
Automated data analysis workflows and generated data-driven insights, presenting findings in comprehensive technical reports.
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Summary
Participated in an intensive summer training program, mastering core technical and soft skills in Python, SQL, data science, and AI/ML fundamentals.
Highlights
Completed an intensive summer camp, mastering core technical skills in Python programming, SQL, data science, artificial intelligence, and machine learning fundamentals.
Solidified foundational concepts through guided hands-on sessions, coding exercises, and interactive peer learning.
Acquired foundational skills in data analysis, model building, and database querying, fueling a deeper interest in technological innovation.
Developed communication and teamwork proficiencies by engaging in collaborative projects and workshops.
Languages
English
Skills
Programming Languages
Python, SQL, HTML, CSS.
Libraries & Frameworks
Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn.
Tools & Platforms
Power BI, MySQL, Microsoft Excel, Microsoft PowerPoint, SQL Workbench, PyCharm, Jupyter Notebook, Visual Studio Code, Anaconda, OpenCV, Teachable Machine.
Soft Skills
Effective Communication, Stakeholder Management, People Management, Team Collaboration, Rapport Building, Critical Thinking, Problem-Solving.
Data Analysis
Data Preprocessing, Data Visualization, Data Interpretation, Statistical Techniques, Model Building, Database Querying.
Machine Learning
AI Principles, Supervised Learning, Unsupervised Learning, Classification, Regression, Clustering.
Project Management
Agile Methodologies, Workflow Automation, Technical Reporting.