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Data Science with less than a year in AI Research & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science graduate specializing in Data Science and Data Analytics with hands-on experience in data cleaning, data visualization, and machine learning using Python, SQL, and Power BI. Skilled in building predictive models, dashboard development, and statistical analysis to support data-driven decision-making.
SZABIST, Karachi
Bachelor of Science · Computer Science
August 1, 2021 – June 30, 2025
Divinatory Solutions
Technical Research Analyst
April 1, 2026 – Present
India
Shine Humanity
Data Science Intern
November 1, 2025 – January 31, 2026
India
Game Lens - Data Science Project
January 1, 2025 – December 31, 2025
Analyzed 20,000+ Steam game records using Python and Power BI. Built machine learning models for prediction and recommendation systems. Performed data cleaning, visualization, and statistical analysis.
Credit Card Eligibility Prediction
January 1, 2025 – December 31, 2025
Built ML models (Decision Tree, KNN, MLP) for classification. Applied feature engineering and preprocessing techniques. Evaluated models using accuracy, precision, recall, and F1-score.
Fix My Bike - Mobile Application
January 1, 2025 – December 31, 2025
Developed a full-stack mobile application with real-time booking features. Integrated data tracking and analytics dashboard. Designed user-centric UI/UX for improved engagement.
Data Analytics Essentials
Cisco Networking Academy
June 1, 2026 – Present
ZAB E-Fest AI Competition
Unknown
January 1, 2024 – Present
ZAB E-Fest Networking Competition
Unknown
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse areas within data science (game analysis, credit card prediction) and even a mobile application, indicating a broad interest and willingness to explore different domains. The internship and current role align well with a Data Science target role, showing a clear career path. Participation in AI and Networking competitions suggests a proactive and competitive spirit. The breadth of skills listed (Python, SQL, Java, various ML techniques, data visualization tools) also points to adaptability and a continuous learning mindset, which are positive indicators for cultural fit.
Soft Skills & Operational Fit
The candidate's project descriptions and work experience suggest an ability to work on diverse tasks, from data cleaning to model deployment and dashboard creation. The role as a Technical Research Analyst implies research and analytical skills. However, without direct assessment data on collaboration, stress handling, or communication clarity in a team setting, a comprehensive evaluation of soft skills and operational fit is limited.