Huda Petkar

Huda Petkar

Data Scientist
India
Marathi, Hindi, English

نبذة عني

Data Science postgraduate with practical experience in machine learning, statistical analysis, and
end-to-end model development using Python. Worked on classification, segmentation, and
computer vision projects involving…

المشاريع

Restaurant Sales Analytics Dashboard

المدة : 30-Sep-2025 - 07-Oct-2025

Cleaned and analyzed sales and payment data to build dashboards tracking weekday trends, payment modes, and manager-wise performance, enabling accurate operational reporting.

Customer Segmentation & Behavioral Analysis (RFM)

المدة : 31-Aug-2025 - 07-Sep-2025

Prepared and analyzed customer transaction datasets to compute Recency, Frequency, and Monetary metrics, segmenting users into high-value and churn-risk groups and presenting insights through an interactive Power BI dashboard.

Satellite Land Classification – Agriculture vs Non-Agriculture

المدة : 31-Jul-2025 - 07-Aug-2025

Processed large image-based datasets, applied data augmentation and labeling, and built classification models to convert raw satellite imagery into structured, analyzable land-use data.

SpaceY: Rocket Launch Prediction

Coursera Capstone Project · https://github.com/hudaaa17/SpaceY
المدة : 30-Jun-2025 - 07-Jul-2025

Built a data collection and cleaning pipeline using APIs to compile rocket launch records, performed EDA and data validation, and generated analytical outputs to support mission risk and performance reporting.

British Airways Customer Classification

المدة : 31-May-2025 - 02-Jun-2025

Collected, cleaned, and prepared customer transaction data, performed feature engineering and validation, and analyzed factors influencing customer purchases. Built classification models and interpreted results to identify key behavioral and revenue drivers.

المهارات

ماي إس كيو إل بايثون (لغة برمجة) التعلم العميق تعلم الآلة مونجو دي بي باور بي آي التحليل الإحصائي تابلو قواعد البيانات Supervised Learning Unsupervised Learning Classification Ensemble Methods Model Evaluation Validation Neural Networks Convolutional Neural Networks Autoencoders Transfer Learning SQL Exploratory Data Analysis EDA Data Cleaning Feature Engineering Handling Imbalanced Data NumPy Pandas Scikit-learn TensorFlow Keras PyTorch Matplotlib Seaborn APIs SMOTE Random Forest XGBoost Gaussian Naive Bayes GNB Data Augmentation RFM DAX
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