Ahsan Shafiq Chaudhry

Leading a team to experiment, validate and deploy data products, impacting key business metrics. Currently working on the problems related to search relevance (ranking), recommendations and pricing.

Working as a Senior Data Scientist & Engineer. Involved in problem solving, from business problem understanding & conceiving solution to deploying the solution and measuring the real impact on business KPIs via Statistical Experimentation Techniques. Mainly Working with: - Python stack for Data Analysis and ML (scikit, numpy, pycaret, xgboost) - Google Cloud Platform (kubernetes & AI Platform) - MongoDB NoSQL DB - NodeJS (Express) and GoLang

As part of Martech (Marketing Technologies) team, my responsibilities are: • Developing, maintaining and enhancing an in-house Experimentation Framework for incentives, named as Growth Engine. It is built from scratch in SailsJs (NodeJs), Bootstrap, MongoDB and Python. Growth Engine is used to launch incentive experiments in 14+ countries, 90+ cities covering 32M+ users. • Productionize Machine-Learning Models with Growth Engine, including Churn, LTV and Dormancy models. • Building and maintaining customer incentive recommendation framework.

• Writing and maintaining ETL jobs and creating/automating Tableau dashboards. • Working with Strategy team to to forecast Trips & Budgets targets for Markets, using time-series analysis. • Developing predictive models: Churn & Dormancy Models, this helped in reducing churn and increasing customer retention. • Executing and analysing A/B or Multivariate Tests for new features and marketing initiatives.

As part of Advance Analytics team I am responsible for conceiving and developing statistical data mining based models aligned with strategic and tactical priorities of the organization. ⇨ Analytical Dataset Development/Automation ⇨ Predictive Modeling in SAS Enterprise Miner ⇨ Product Affinity/ Market Baskte Analysis ⇨ Data profiling, Insights and Data Monetization ⇨ Pre post campaign analysis ⇨ Response Modeling (Model iterations on the basis of response) ► Projects: ⇨ Dormancy/Churn Prediction model ⇨ Product affinity (With Geo affinities for cluster based operating model) ⇨ Customer Care Calls Affinities and Sequence Mining. ⇨ Multi sim Prediction Model ⇨ Mobile Agriculture Prediction Model and Data Insights (Prediction for potential farmers for Mobile Agriculture service by Telenor with collaboration of GSMA) ⇨ Contextual Marketing - NBO (Next best offer) ⇨ End to end automation for ADS and operational tasks. ► Big Data Analytics: ⇨ DPI Internet Segmentation ⇨ Network Experience Analytics ⇨ Insights and Monetization ⇨ CLM Campaigns Using DPI/NEA data

Worked as Research Assistant under supervision of Dr. Sohaib Khan at GIS Technology Innovation Center. Mainly worked on projects related to data analysis, computer vision and machine learning.

I worked as freelance mobile developer to create iOS & Android games and applications for various clients. Upwork Profile: https://www.upwork.com/o/profiles/users/_~0164638b70f52e36df/

Courses: - Machine Learning - Data Mining - Computer Vision - Applied Probability - Computational Biology - Big Data Analysis.