Aqsa Tariq

AI-Powered Personalization Engine for Fashion & Retail

Aam Consultan

• Designed and implemented a multimodal, session-based recommendation system combining image and text data to enhance product discovery and personalization.
• Built visual and text-based product search using OpenAI and recommendation pipelines powered by the NVIDIA Merlin ecosystem.
• Automated product tagging using deep learning-based image classifiers for eastern and western wear, improving inventory accuracy.
• Contributed to Agentic, a conversational AI interface offering personalized recommendations and real-time customer support.
• Developed an AI-powered merchandising dashboard with dynamic rules and filters driven by customer behavior and business logic.

Avanceon – Lucky Core Industries

• Developed a machine learning solution to predict fiber quality KPIs at intermediate stages of production.
• Reduced dependency on end-stage quality checks by enabling earlier quality assessment during manufacturing.
• Improved operational decision-making and reduced rework through real-time quality predictions.

Avanceon – Pakistani Tobacco Company

• Built autoregressive models to forecast tobacco waste during preprocessing at the Akora Khattak facility.
• Identified patterns in historical production data to optimize tobacco processing.
• Delivered actionable insights to reduce material waste and improve processing efficiency.

Avanceon – Mari Petroleum Company Limited

• Optimized gas plant pump operations to enhance efficiency and reduce energy consumption.
• Developed predictive maintenance models for gas whistles and pipelines to detect anomalies and prevent failures.
• Improved reliability of gas infrastructure and minimized unplanned downtime.

Avanceon – Tapal

• Analyzed production and sensor data to monitor and optimize quality KPIs during manufacturing.
• Applied machine learning models to predict product defects and production bottlenecks.
• Built algorithms to forecast breakdowns and quality issues, improving process control and product consistency.
• Collaborated with operations to implement predictive insights, reducing downtime and increasing OEE.

Avanceon – DhaHubCo

• Optimized industrial chiller operations by analyzing temperature, load, and energy data in real time.
• Used regression-based models to determine efficient load distribution and runtime schedules.
• Implemented predictive control logic to minimize excessive cooling and reduce electricity costs.
• Integrated models into daily plant operations via dashboard monitoring tools.

Avanceon – Shell

• Led a project to forecast petroleum fuel shrinkage during transportation using SARIMAX and autoregressive models.
• Collected and analyzed GPS, topographic, weather, and route data to detect high-shrinkage patterns.
• Integrated weather APIs to correlate environmental impact on shrinkage.
• Recommended routing and handling strategies to reduce fuel loss during transit.

Odyssey Analytics

• Developed automated workflows using Alteryx for financial data transformation, integration, and reporting.
• Improved processing speed, accuracy, and visibility into financial analytics for decision-making.

Odyssey Analytics – Texas, USA

• Performed time series forecasting using SARIMAX, LSTM, and hybrid models on crypto mining data.
• Addressed missing values through imputation strategies (forward, backward, mean) to ensure dataset integrity.
• Predicted 7-day trends to optimize energy usage and mining strategy.

Odyssey Analytics – Texas Energy Company

• Built a centralized data lake to unify operational datasets across power plants.
• Designed ETL pipelines using AWS Redshift, Oracle, Kinesis, Lambda, and JAMS Server.
• Enabled scalable data access for analytics and business intelligence.
• Applied unsupervised learning and transformer-based models (DeepSCAN) to analyze genomic data.
• Built clustering models to segment patients by gene expression for precision medicine.
• Predicted treatment responses using genomic patterns for personalized healthcare solutions.