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Data Science with less than a year in Python-based data pipelines & ML models
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Assessing your cultural and operational fit
Computer Systems Engineer specialising in data science and applied AI, with hands-on experience building Python-based data pipelines, predictive ML models, and LLM-powered tools using Hugging Face and LangChain. Comfortable taking AI workflows from raw, messy data through cleaning, EDA, feature engineering, and modelling to a validated, working application. Strong communicator with a track record of self-directed learning and shipping independent end-to-end projects alongside internship work.
Dawood University of Engineering and Technology
B.E Computer System · Computer System
August 1, 2022 – June 30, 2026
Khursheed Govt. Girls Degree College
Intermediate · Pre-Engineering
N/A – May 31, 2022
State Bank of Pakistan
Data Science Intern
June 1, 2026 – Present
India
10 Pearls
Data Science Intern
April 1, 2026 – June 30, 2026
India
NextGen Learners
Python Programming Intern
September 1, 2025 – October 31, 2025
India
Predictive Analytics & ML Pipeline on Real-World Dataset
June 23, 2026 – Present
Collected and cleaned dataset containing 10,000+ rows, 25+ features; handled missing values, duplicates, and outliers, and applied scaling & encoding. Performed EDA and feature engineering using Pandas, Matplotlib, and Seaborn to identify trends and correlations. Built and evaluated regression and classification models with Scikit-Learn, using cross-validation and performance metrics to optimize results. Developed interactive dashboards with Plotly to present key insights and predictive outcomes.
EngGloss – AI Engineering Glossary
June 23, 2026 – Present
Built an AI-powered glossary using Hugging Face models to generate contextual definitions for 50+ engineering terms, testing model responses for clarity and relevance. Experimented with 5-7 prompt variations to improve definition accuracy and consistency.
BMI Converter (Python + Streamlit)
June 23, 2026 – Present
Created a Python-based application with Streamlit UI, handled user input, processing logic, and output display
AI Translation App
June 23, 2026 – Present
Developed a real-time translation tool using Hugging Face APIs, supporting 5+ languages. Tested translation accuracy on 80+ sample sentences across different language pairs. Iterated over multiple prompt formats to reduce mistranslations and improve output reliability. Gained hands-on experience working with APIs and model output evaluation.
Certified Data Scientist
PITP
June 1, 2026 – Present
Generative AI
Pakistan Engineering Council
June 1, 2026 – Present
Data Structures & Algorithms
Udemy
June 1, 2026 – Present
SQL for Data Science
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse personal projects, ranging from predictive analytics to AI-powered glossaries and translation apps, indicate a broad interest and adaptability within the data science domain. Their internships at different organizations (State Bank of Pakistan, 10 Pearls, NextGen Learners) suggest an openness to various work environments and problem types. The pursuit of multiple certifications further highlights a commitment to continuous learning and professional development, which aligns well with a culture of innovation and growth. The candidate's focus on practical application and problem-solving in their projects also suggests a results-oriented mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical problem-solving skills through project descriptions, particularly in data cleaning, feature engineering, and prompt optimization. Their experience in collaborating with mentors and team members during internships suggests a capacity for teamwork. The emphasis on self-directed learning and shipping independent projects indicates a proactive and self-motivated work attitude. The candidate's communication skills appear adequate based on the clarity of their resume and project descriptions.