Aneesa Shah
Machine Learning Intern @Cetpa Infotech Pvt. Ltd
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WORK HISTORY
Machine Learning Intern @Cetpa Infotech Pvt. Ltd
Noida, IN
Gained comprehensive hands-on experience in machine learning and artificial intelligence through practical projects and real-world dataset applications.Key Learning & Responsibilities:1, Developed and implemented machine learning models using Python and scikit-learn2. Worked with supervised learning algorithms including Linear Regression, Logistic Regression, Decision Trees, and Random Forests3. Applied unsupervised learning techniques such as K-Means Clustering and dimensionality reduction4. Performed data preprocessing, feature engineering, and feature selection to optimize model performance5. Conducted exploratory data analysis (EDA) and data visualization to extract meaningful insights6. Implemented neural networks and deep learning fundamentals7. Evaluated model performance using cross-validation, confusion matrices, and performance metrics8. Gained practical exposure to the complete ML pipeline from data collection to model deploymentTechnical Skills Applied: Python, pandas, NumPy, scikit-learn, Matplotlib, Seaborn, Jupyter NotebookThis internship strengthened my foundation in machine learning concepts while providing valuable experience in applying AI solutions to solve practical problems.
EDUCATION
Green Valley Educational Institute
11th - 12th, Medical
Greenland Educational Institute
1st - 10th, General Studies
Islamic University of Science & Technology, Pulwama
Bachelor of Science - BS, Data Science
ABOUT ANEESA SHAH
I\'m a data science student passionate about transforming raw data into intelligent solutions. I specialize in building machine learning models and extracting actionable insights from complex datasets using Python, statistical analysis, and modern data science frameworks.My work revolves around discovering hidden patterns in data and translating them into predictive models that drive real-world impact. From exploratory analysis to deploying AI algorithms, I combine technical expertise with problem-solving creativity to tackle meaningful challenges.Core Skills: Python (pandas, NumPy, scikit-learn), Machine Learning, Statistical Modeling, Data Visualization, Predictive AnalyticsI\'m constantly expanding my knowledge through hands-on projects and real-world applications. My goal is to contribute to AI-driven innovations that create tangible value and solve pressing problems.Open to collaborations, learning opportunities, and projects where data science meets impact. Let\'s connect!
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