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Tanzeem
Data Science Intern at Croma Campus and Cognifyz
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Competencies
Proficient in analyzing data sets and creating visualizations to derive actionable insights using Python libraries.
Skilled in implementing supervised machine learning models, assessing their accuracy, and optimizing performance.
Experienced in HTML, CSS, JavaScript, and frameworks like React.js for building interactive web applications.
Familiar with MongoDB and backend tools such as Node.js and Express.js for data storage and server-side development.
Education
Languages
Summary
Motivated B.Tech student skilled in data cleaning, visualization, and predictive modeling, eager to contribute to data-driven solutions and advance in data science.
Key Achievements
- Performed comprehensive data cleaning, preprocessing, and exploratory data analysis using Python, enhancing data quality and insights.
- Developed and evaluated machine learning models for predictive analysis, improving model accuracy through validation techniques.
- Utilized advanced visualization tools like Matplotlib, Seaborn, and Plotly to communicate data insights effectively.
- Gained hands-on experience in data analysis, visualization, and machine learning within real-world projects.
Experience
Data Science Intern
Performed data cleaning, preprocessing, and exploratory data analysis (EDA) using Python.. Utilized NumPy, Matplotlib, Seaborn, and Plotly for data visualization and insights.. Built and evaluated machine learning models using train-test split methodology.
Data Science Intern
Conducted data analysis and visualization using Python libraries.. Implemented supervised machine learning models for predictive analysis.. Evaluated model accuracy using train-test validation techniques.