About
Highly analytical and results-driven B.Tech graduate specializing in Artificial Intelligence and Machine Learning, adept at leveraging Python, SQL, Power BI, and advanced visualization tools to extract actionable insights. Proven ability to develop predictive models, analyze complex datasets, and create interactive dashboards that drive data-driven decision-making. Eager to apply strong analytical and technical skills in a Data Analyst internship or entry-level role.
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Education
Computer Science Engineering Artificial Intelligence Machine Learning
Gandhi Engineering College
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Languages
English
Hindi
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Certificates
Data Analytics
hp LIFE
MERN STACK DEVELOPER INTERNSHIP
MERN STACK
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Skills
Programming & Data
Python, NumPy, Pandas, Matplotlib, Seaborn, SQL, Excel
Machine Learning & AI
Scikit-learn, PyTorch, OpenCV, Machine Learning, Deep Learning (CNN Basics), Supervised Learning, Unsupervised Learning, Model Evaluation, Feature Engineering, NLP (TF-IDF, Similarity Models)
BI & Visualization
Power BI, Tableau (Basic)
Development Tools
VS Code, Jupyter Notebook, Git, GitHub, Power BI Service
Front-End Development
HTML5, CSS3, React.js, Next.js, Tailwind CSS
Back-End Development
Node.js, Express.js, MongoDB, Restful APIs
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Projects
Sales & Profit Analysis Dashboard
Developed an interactive Power BI dashboard to analyze a company’s sales performance across regions, categories, and customer segments, leveraging Excel for data preparation and visualization.
Customer Churn Analysis and Prediction
Analyzed a telecom customer dataset using Python (Pandas, Matplotlib, Seaborn) to identify factors influencing churn and develop predictive insights with a Logistic Regression model.
Netflix Movies Data Analysis
Analyzed over 9,800 Netflix movie records using Python (Pandas, NumPy, Matplotlib, Seaborn) to identify patterns in genres, popularity, and audience ratings.
Car Price Prediction Model
Built a machine learning model using Python, Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib to predict used car prices based on features like year, mileage, fuel type, and engine size.
Heart Disease Prediction Model
Developed a classification model using Python, Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib to predict heart disease risk based on medical attributes such as age, cholesterol, and blood pressure.
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Work
ZAALIMA DEVELOPMENT
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Interests
Machine Learning
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