Bachelors in Computer Science-BS(CS) (Transferred) | FAST NUCES UNIVERSITY

Bachelors in Computer Science-BS(CS) (Completed First Year) | DHA SUFFA UNIVERSITY

Intermediate in Computer Science | AGA KHAN SCHOOL

Junior Data Scientist | Badri Management Consultancy

Developed ML actuarial models in Python (TensorFlow), cutting processing time by 95% through model optimization.
Conducted predictive analytics on client insurance portfolios using Python (Pandas), applying data preprocessing and statistical methods that led to a 20% decrease in underwriting costs.
Automated document classification of policyholder data, leading to refined LIC cash flows’ premium assumptions.

Data Science Trainee | Badri Management Consultancy

Reduced analysis time by 15% by leading NLP-driven report automation with actuarial and data science teams.
Cleaned and engineered features on large datasets (10M+ records) using scikit-learn, handling missing values, feature splitting, and discretization, boosting training efficiency and improving accuracy by 10%.
Developed automated data pipelines for cleaning large actuarial datasets, reducing manual handling time by 30%.

Artificial Intelligence Intern | Marketlytics

Created an HR chatbot by fine-tuning BERT on HR documents, integrating it with the Slack API for streamlined employee resolution, reducing HR response times by 30%.
Evaluated conversational AI prompting systems, achieving a 25% boost in chatbot accuracy through prompt engineering and response selection models, resulting in more precise responses, assessed with test prompts.
Drove client acquisition strategy recommendations by extracting insights from 3M+ customer records using SQL in Big Query, with join operations and clustering techniques.

Machine Learning Intern | Logic Finder

Developed Autoencoders and random forest model to detect anomalies in network log datasets, significantly enhancing security by identifying 95% of potential threats.
Reduced false positives by 15% by identifying outliers through distance measurements to cluster centroids and extracting event frequency, amount, and timing patterns for anomaly detection.
Achieved a 10% increase in model precision through performance evaluations of anomaly detection systems using precision, recall, and F1-score metrics, applying k-fold cross-validation and scikit-learn metrics module.

Freelance Developer and Tutor

Developed an OCR and document search web app, deploying it on Hugging Face and Streamlit for a student. Utilized Qwen-2VL to achieve 90% accuracy in text extraction and keyword search from images in Hindi and English.
Tutored student on document retrieval systems in which he scored 100%.
Created interactive dataset graphs using HTML, CSS, and JS, fetching data through API integration for a client.

Software Quality Assurance Intern | Afiniti

Performed functional testing, identifying and resolving 20+ bugs (Error Handling Bugs, Performance Bugs) to enhance application stability and improve user experience, ensuring alignment with requirements.
Reduced QA time by 30% with 16+ detailed test cases and documentation, utilizing JIRA, for tracking and future use.
Reduced customer-reported defects by 10% through developer coordination, JIRA tracking, and follow-up testing.

(AI2002) Artificial Intelligence, Spring 2024

Provided one-on-one guidance and Q&A sessions to a class of 50 students, teaching AI topics like neural networks.
Developed coding assignments for students to implement machine learning models in Python, like linear regression, decision trees and reinforcement learning, which strengthened their practical skills in AI.
Graded mid-term and final projects with personalized feedback to clarify AI concepts and enhance students' grasp.

(CS2005) Database Systems, Fall 2023

Led weekly SQL lab sessions for 63 students, teaching queries, database design, and indexing through practical project-based learning, enhancing students’ SQL proficiency and assignment scores.
Collaborated with the course instructor to update curriculum materials, integrating case studies on real-world database systems (e.g., MySQL, MongoDB) that improved student engagement and understanding.
Evaluated quizzes and provided feedback by breaking down logical errors, refining students' SQL and database skills.

(CS3005) Theory of Automata, Spring 2023

Conducted review sessions for 48 students, solving complex automata theory problems and simplifying concepts like finite automata and regular languages, which improved students' comprehension and test scores.
Designed additional exercises like Automata visualization, improving students' understanding and retention of theory.
Provided academic support, leading to 85% positive feedback and improved student comprehension.