Ali Hasan

Data Scientist with hands-on experience across machine learning, time series forecasting, statistical modelling, and business analytics. Delivered a ~35% increase in monthly sales and ~15% increase in online delivery orders for a retail client through demand forecasting, RFM segmentation, and targeted digital marketing. Proficient in Python, SQL, R, and Scikit-learn, with applied research experience spanning healthcare analytics, NLP, and causal inference.

Currently completing an M.Sc. in Data Science (2026).

Data Science Consultant - Meat Us (Food & Delivery)

(2025-10 - 2026-07)

• Built a demand forecasting model for a perishable-goods retail and delivery business, correcting for stockout-constrained sell-through on high-demand days and moving procurement from blanket multipliers to evidence-based, day-specific ordering.
• Designed RFM segmentation and win-back analysis across thousands of historical orders, informing targeted retention campaigns and contributing to a ~35% increase in monthly sales.
• Ran Meta Ads campaigns and social media promotion targeted using customer segmentation insights, contributing to a ~15% increase in online delivery orders.
• Built end-to-end P&L and BI dashboards (Google Looker Studio, Google Sheets) with auto-calculating COGS, gross profit, EBITDA, and MoM growth tracking for leadership reporting.

Data Science Intern - CCRAS, Ministry of AYUSH

(2025-07 - 2025-09)

• Developed ML-based predictive models on real-world healthcare datasets to identify disease risk patterns across patient demographics, supporting evidence-based clinical decision-making.
• Compared Random Forest, XGBoost, SVM, and Logistic Regression, using GridSearchCV and cross-validation to select the best-performing model for each prediction task.
• Built reusable preprocessing pipelines (missing values, encoding, scaling, feature selection) across multiple multi-source healthcare datasets.
• Documented model development and evaluation methodology to ensure reproducibility and knowledge-sharing across the research team.

Data Annotator & ML Dataset Specialist - TELUS Digital – Zillow Program

(2023-12 - 2024-11)

• Annotated and validated large-scale datasets for ML model training, maintaining high labeling accuracy standards critical to downstream model performance.
• Collaborated with cross-functional QA and ML engineering teams to establish annotation guidelines and resolve data quality issues at scale.
• Identified edge cases and improved annotation coverage, enhancing generalization for classification and object-detection models.

AI-Powered Marketing Analyst - Attentive (At TELUS Digital)

(2023-06 - 2023-12)

• Designed and optimized AI-driven SMS marketing campaigns, achieving a 20% improvement in customer engagement through data segmentation and A/B testing.
• Built customer segmentation models from behavioral and transactional data, and automated Python-based reporting workflows for campaign performance analysis.

M.Sc. - Data Science - Dr. Bhim Rao Ambedkar University (2026)

B.C.A. - Bachelor of Computer Applications - Dr. Bhim Rao Ambedkar University (2023)