Aspiring Data Science Intern with Full-Stack Skills

NAEEM UD DIN

Aspiring Data Science Intern

LinkedIn ■ +923**-******* ■ *********@*****.***

OBJECTIVE

Motivated Data Science undergraduate seeking a hands-on internship to apply strong foundations in machine learning, data analysis, and full-stack deployment. EDUCATION

Bachelor of Science in Data Science,

COMSATS University, Islamabad 2023 – Present

TECHNICAL SKILLS

• Programming: Python, R, Java, JavaScript (ES6)

• Web & Frameworks: Next.js, Tailwind CSS, FastAPI

• Machine Learning: scikit-learn, R Studio, Pandas, NumPy, ARIMA, PCA

• Databases: MySQL, MongoDB

• Deployment & Tools: AWS EC2, Vercel, Git, Docker basics, Joblib, boto3

• Data Visualization: Matplotlib, Seaborn, ggplot2 PROJECT EXPERIENCE

MedMCQ — Medical Exam Prep Platform (June-2025)

Next.js 14, React, Tailwind CSS, NextAuth, MongoDB, Vercel. Built full-stack MCQ platform with authentication, subject-based practice, progress tracking, and dashboards. Led a 3-member team to implement MedMCQ features.

Car Purchase Prediction Web App (may-2025)

Python, FastAPI, Random Forest, AWS EC2, S3, boto3. Trained model (R =0.82, RMSE 4,500), deployed via FastAPI endpoint POST /predict.

Bank Customer Subscription Prediction

Python, scikit-learn, Pandas, Seaborn. Compared Decision Tree, SVM, Naive Bayes, and KNN. Created pipelined workflows, evaluated with precision, recall, F1, ROC, and confusion matrices; visualized feature importances.

Sales Forecasting Using Time Series

Python, ARIMA, Moving Averages. Modeled retail sales trends, performed seasonal decomposition, and visualized patterns.

Sentiment Analysis on Customer Reviews

Python, scikit-learn, NLTK. Preprocessed text data, trained Naive Bayes and Decision Tree classifiers; evaluated using precision, recall, and F1-score.

Machine Learning Projects with R

R Studio, ggplot2, dplyr. Developed classification and regression models, conducted exploratory data analysis, and created visual reports.

ADDITIONAL INFORMATION

Languages: English (Fluent), Urdu (Fluent)

Soft Skills: Analytical Thinking, Effective Communication, Problem-Solving, Rapid Learner Hobbies: Volleyball, Reading Non-Fiction, Badminton, Music

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