Experienced freelance Python Developer with over 2 years of expertise in web development using Django and a flair for crafting custom solutions that exceed client expectations. Proficient in machine learning and data science, along with a knack for effective communication.

kakazai1998

Experienced freelance Python Developer with over 2 years of expertise in web development using Django and a flair for crafting custom solutions that exceed client expectations. Proficient in machine learning and data science, along with a knack for effective communication.

Available to hire

Experienced freelance Python Developer with over 2 years of expertise in web development using Django and a flair for crafting custom solutions that exceed client expectations. Proficient in machine learning and data science, along with a knack for effective communication.

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Skills

Mi
Microsoft Excel
Mi
Microsoft Powerpoint
Mi
Microsoft Word
Python
Da
Data Visualization
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Experience Level

Microsoft Excel
Expert
Microsoft Powerpoint
Expert
Microsoft Word
Expert
Python
Expert
Data Visualization
Expert
Data Science
Intermediate
Microsoft SQL
Intermediate
CSS
Intermediate
HTML5
Intermediate
MySQL
Intermediate
PostgreSQL
Intermediate
SQL
Intermediate
SQLite
Intermediate
UI
Intermediate
AWS
Beginner
PyTorch
Beginner
TensorFlow
Beginner
Keras
Beginner
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Language

English
Fluent
Urdu
Fluent

Education

Masters of AI and Data Science at Contemporary Technology University
October 1, 2022 - November 30, 2023
Bachelor of Computer Science at Punjab University College of Information Technology
October 17, 2016 - May 31, 2020

Qualifications

Add your qualifications or awards here.

Industry Experience

Other, Software & Internet
    uniE613 Human Activity Recognition
    Developed and deployed a robust machine learning solution for Human Activity Recognition (HAR) using sensor data. Utilized a diverse set of algorithms including Support Vector Machine (SVM), Random Forest, and Gradient Boosting, achieving high accuracy and robust generalization. Conducted extensive Exploratory Data Analysis (EDA) and recommended model selection strategies for real-world applications
    uniE613 Sentiment Analysis
    Designed and executed a sentiment analysis system, integrating NLP techniques and machine learning models. Proficient in data preprocessing, class imbalance mitigation, and model selection, yielding a 77% accuracy rate. Explored diverse model architectures, including Naive Bayes, Logistic Regression, LSTM, and GRU, and leveraged pre-trained word embeddings and spaCy for advanced NLP capabilities.
    uniE613 Optical Character Recognition
    Collaborated on a project as my bechelor's project to develop a Urdu character recognition system. Engineered synthetic datasets, explored various machine learning algorithms (KNN, SVM, MLP, Deep Learning, Random Forest), and conducted comparative analysis to enhance Urdu character recognition.
    uniE613 Medical Portal
    Developed a clinic management system using Python and Django framework. It allowed patients to book an appointment with a doctor. The system had the patient's history for the doctor to access. Patients can access the portal to see their medications and medical history. I integrated SQLite database for data storage and builtin user authentication.
    uniE613 Weather Analysis
    Developed a weather data analysis project using Python and SQL, involving database creation, data cleaning, visualization, and machine learning techniques. Conducted in-depth exploration of weather patterns, correlations, and network analysis to gain insights into temperature variations across multiple cities. Utilized statistical models for temperature prediction and demonstrated strong problem-solving skills and data-driven decision-making.
    uniE613 Image Cartonizer
    Developed a Python-based image processing project that utilized a series of filters and image conversions to generate a cartoon-style output from a given image. The project involved implementing various image processing techniques, such as blurring, edge detection, and color quantization, to achieve the desired effect.
    uniE613 Credit Rist Analysis
    Implemented a deep learning model, utilizing a Multi-Layer Perceptron (MLP) architecture, for binary classification in a credit risk analysis project. Conducted data preprocessing, feature engineering, and hyperparameter tuning to enhance model performance. Achieved an accuracy of up to 77.63% and successfully addressed issues of class imbalance, demonstrating proficiency in machine learning and data science.
    uniE613 Mariata Homes
    Developed a portal for accommodation assistance using Python and Django. It allowed the user to apply for accommodation assistance. Admin would then either approve or reject the application. It was a sample prototype of the project.