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hammad mengrani

@hammadmengrani

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Passionate data science student with strong analytical skills.

Pakistan

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What I'm looking for

I am looking for a collaborative environment where I can grow my skills and contribute to impactful projects.

I am a passionate data science student currently pursuing a Bachelor's in Artificial Intelligence at SZABIST. With a solid foundation in Python, machine learning, and data visualization, I have successfully completed academic projects that have significantly improved model accuracy by 15%. My enthusiasm for data-driven decision-making drives me to seek a data science internship where I can further develop my analytical skills while contributing to impactful business outcomes.

Throughout my academic journey, I have developed an e-commerce platform utilizing generative AI agents, which increased user engagement by 18% through personalized product recommendations. Additionally, I created an NLP-based CV extractor that achieved 85% accuracy in skill extraction from CVs. I thrive on exploring new machine learning algorithms and staying updated with the latest trends in data science to continuously enhance my skill set.

My notable achievements include being the runner-up in Zab Fest 2024 for my innovative project, Zab Mart, which integrates software and hardware to enhance shopping efficiency. I am eager to leverage my skills in predictive analytics and business intelligence to solve real-world problems and contribute to a forward-thinking organization.

Experience

Work history, roles, and key accomplishments

Current

E-commerce Platform with Generative AI Agents

Current

SZABIST

Developed an e-commerce platform using Python with four AI agents, including a product recommendation system and Google Trends integration for seller dashboards. Created a marketing image generator using generative AI, reducing design time by 30%.

Python Generative AI Google Trends Dall E fastAPI Next.js MongoDB

Current

NLP-Based CV Extractor and Job Recommendation System

Current

SZABIST

Built an NLP pipeline using Python, NLTK, and SpaCy to extract skills and experience from over 500 CVs with 85% accuracy. Developed a recommendation system that matched candidates to job postings, achieving a 75% success rate in relevant job suggestions.

Python NLP NLTK SpaCy Recommendation Systems Data Extraction

Current

Zab Mart: Smart Shopping Solution

Current

SZABIST

Created Zab Mart, a smart shopping platform integrating software mobile development and hardware with a trolley system for seamless user experience. Implemented customer segmentation using Python and K-Means clustering on a dataset, improving targeted marketing.

Python Mobile Development Hardware Integration Customer Segmentation

Education

Degrees, certifications, and relevant coursework

SZABIST

Bachelors in Artificial Intelligence, Artificial Intelligence

Activities and societies: Runner-up in Zab Fest 2024 for creating Zab Mart, a project integrating software mobile development, hardware integration with a trolley, and customer segmentation to enhance shopping efficiency.

I am a passionate data science student with a strong foundation in Python, machine learning, and data visualization. I have hands-on experience with academic projects involving predictive modeling and data analysis, achieving measurable results like improving model accuracy by 15%.