MJ

Muhammad Jawad Mufti

Available to hire

I'm a Data Scientist with 3+ years of experience designing and deploying end-to-end machine learning systems for customer behavioral modeling, personalization, and predictive analytics.

About

I’m a Data Scientist with 3+ years of experience designing and deploying end-to-end machine learning systems for customer behavioral modeling, personalization, and predictive analytics. I specialize in feature engineering on large-scale transactional and behavioral datasets, model interpretability (SHAP), and translating predictive outputs into actionable business decisions.

I’m proficient in Python, XGBoost, LSTM, AWS SageMaker, GCP Vertex AI, and MLOps workflows. I’m a strong communicator with a proven track record of cross-functional stakeholder collaboration and decision-support reporting.

  • Joined December 2025

Languages

  • EnglishFluent

Industry experience

  • Software & Internet
  • Professional Services

More experts in Dhahran, Saudi Arabia

Projects · 1

An end-to-end customer churn prediction and retention decision-support system designed for non-contractual service environments where churn is inferred from customer inactivity and behavioral patterns.

Project Details:
Developed a temporal behavioral modeling pipeline using customer activity, booking history, transactional behavior, engagement signals, and recency-frequency-monetary features.

Engineered rolling-window features to capture customer behavior over time and support early churn-risk identification in a non-contractual business setting.

Trained and evaluated machine learning and deep learning models, including XGBoost and LSTM, for customer churn prediction, retention modeling, and risk classification.

Applied SHAP-based model interpretability to identify key churn drivers and explain model predictions to non-technical stakeholders.

Designed a decision-support layer that translated churn-risk predictions into actionable retention recommendations for targeted customer intervention.

Customer Behavioral Modeling & Retention Decision Support System
  • Data Analyst
  • Data Collector
  • Data Scientist
  • +1

Work experience

Machine Learning Engineer · Elevvo PathwaysSep 2025 – Oct 2025 · 2 mos

Architected and deployed a production-grade multimodal deep learning system integrating computer vision and audio models for real-time user engagement monitoring, achieving a 40% improvement in inference speed on edge devices. Engineered an end-to-end model optimization and deployment pipeline using TensorFlow Lite and ONNX, reducing model latency and memory footprint by 35% while maintaining production-grade accuracy. Conducted deep EDA to surface behavioral patterns, validate data quality, and enrich feature representations, improving downstream model performance and interpretability. Designed and executed rigorous evaluation and benchmarking workflows to ensure reliability across heterogeneous edge device environments.

Data Scientist · TeknotizeMar 2024 – Mar 2026 · 2 yrs 1 mo

Delivered end-to-end data science workflows across customer analytics, personalization, and predictive modeling, including ETL design, data cleaning, feature engineering, model evaluation, and insightful reporting on large-scale e-commerce datasets. Built purchase propensity and repeat-buyer models by engineering behavioral, transactional, and engagement-based features from browsing, cart, and order activity logs. Trained, optimized, and evaluated models including XGBoost and LSTM, achieving strong accuracy and precision-recall, enabling early identification of at-risk customers for retention campaigns. Performed advanced EDA, customer segmentation, and SHAP-based interpretability analyses to uncover key shopping patterns and drivers. Translated model outputs into actionable retention and merchandising recommendations for cross-functional teams.

Machine Learning Engineer · ALIMCOSOFT (SMC-PRIVATE) LIMITEDFeb 2023 – Dec 2023 · 11 mos

Designed and maintained ETL pipelines for structured customer behavioral and transactional data, supporting robust feature engineering and model training workflows. Built and optimized classification models for customer behavior prediction, improving precision-recall trade-offs and guiding business operation prioritization. Conducted EDA, risk segmentation, and hypothesis testing to surface behavioral patterns and performance drivers. Performed feature importance analysis and SHAP-based interpretability assessments to improve robustness and communicate findings to non-technical stakeholders. Collaborated with business and technical teams to translate model outputs into decision-support dashboards and actionable insights for planning and operations.

Education

M.S. in Computer Science · King Fahd University of Petroleum and Minerals (KFUPM)2024 – 2026
B.S. in Software Engineering · University of Lahore2019 – 2023

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