Data Analytics & AI Specialist with ML & BI Skills

SHAZIA AFRAZ

*************@*****.*** +91-949**-***** linkedin.com/in/shazia-afraz github.com/shaziaafraz PROFESSIONAL SUMMARY

B.Tech graduate in Artificial Intelligence & Data Science with hands-on experience in Data Analytics, Machine Learning, SQL, Python, Power BI, and Data Visualization. Skilled in data cleaning, exploratory data analysis (EDA), dashboard development, predictive modeling, and business intelligence reporting. Developed machine learning and analytics projects using real-world healthcare and fitness datasets.

SKILLS

Languages: Python, SQL, Java

Data Analytics: Data Cleaning, Data Wrangling, Exploratory Data Analysis (EDA), Statistical Analysis, Data Interpretation, Pandas, NumPy, Excel

Visualization & BI: Power BI, Tableau, Matplotlib, Dashboard Development, KPI Reporting Databases: MySQL, SQL Queries, Database Management Machine Learning: Regression, Classification, SVM, ANN, CNN, Feature Engineering, Model Evaluation, Predictive Analytics Tools: Git, GitHub, VS Code, Jupyter Notebook, Streamlit Soft Skills: Problem Solving, Communication, Analytical Thinking, Team Collaboration, Time Management WORK EXPERIENCE

Data Analytics Intern Labmentix Edtech Pvt. Ltd. Sep 2025 – Dec 2025

• Developed Python (Pandas, NumPy, Matplotlib) scripts to automate data cleaning and transformation across multiple datasets, reducing manual processing time significantly.

• Built interactive Power BI dashboards to visualise KPIs and support data-driven decision-making for business stakeholders.

• Collaborated with a cross-functional team using Git for version control; maintained Jupyter Notebook-based reproducible analysis workflows.

• Authored clear documentation and data reports to communicate findings and methodology to non-technical team members. Data Science Intern 1stop.ai Jun 2024 – Aug 2024

• Contributed to end-to-end ML pipeline development in Python (Scikit-learn, Pandas) — covering data ingestion, preprocessing, feature engineering, and model evaluation.

• Performed exploratory data analysis (EDA) to identify patterns, outliers, and feature correlations, improving overall model performance.

• Documented experimental results and model metrics in structured Jupyter Notebook reports reviewed by senior engineers. PROJECTS

Skin Disease Detection & Classification Python, TensorFlow, Keras, CNN, Django GitHub

• Developed a Convolutional Neural Network (CNN) model to classify 9 types of skin diseases using the HAM10000 dataset.

• Performed image preprocessing, normalization, augmentation, and feature extraction to improve model performance and prediction reliability.

• Trained and evaluated the deep learning model, achieving approximately 93% classification accuracy.

• Built a Django-based web application for real-time image upload and automated skin disease prediction. Heart Failure Mortality Prediction Python, Scikit-learn, SVM, ANN, Pandas GitHub

• Developed machine learning models using Support Vector Machine (SVM) and Artificial Neural Networks (ANN) to predict heart failure mortality using healthcare data from 500+ patients.

• Performed data cleaning, preprocessing, feature engineering, and exploratory data analysis (EDA) to improve data quality and model performance.

• Applied feature scaling and model optimization techniques to enhance prediction accuracy and reliability.

• Evaluated model performance using classification metrics and comparative analysis.

• Achieved 92% prediction accuracy through predictive modeling and machine learning techniques. EDUCATION

B.Tech — Artificial Intelligence & Data Science 2026 Priyadarshini Institute of Science and Technology for Women, Khammam CERTIFICATIONS

Python Programming — Redrose Academy Data Science — IBM

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