Python for Data Science and AI

Unsupervised Learning, Recommenders, Reinforcement Learning

Generative AI with Large Language Models

Hands-on Introduction to Linux Commands and Shell Scripting

Databases and SQL for Data Science with Python

Introduction to Relational Databases (RDBMS)

Supervised Machine Learning: Regression and Classification

Linux Commands & Shell Scripting Essentials V2

Advanced Learning Algorithms

Machine Learning Specialization

Bachelor's degree

• Owned campaign performance measurement for marketing initiatives across a 40M+ subscriber base using Power BI dashboards.  
• Delivered a ~12% retention lift on a churn-targeting campaign through end-to-end analysis in SQL and Python.  
• Cut weekly campaign reporting time from ~8 hours to ~30 minutes by automating workflows with Python.

Junior Data Analyst

• Drove a significant change in a credit-card cross-sell campaign for a major Canadian bank through rigorous A/B testing.  
• Enhanced Power BI dashboard performance, reducing load time from ~45s to ~4s, improving user experience for leadership.  
• Automated reporting processes, saving the operations team approximately 6 hours per week in manual work.

Data Analyst

•	Reduced monthly multi-source reconciliation exceptions by ~30% and eliminated ~3 hours/month of manual data fixes, by profiling four external vendor feeds side-by-side in SQL, isolating a daylight-savings timezone bug in one vendor's timestamps, and embedding a UTC-alignment rule into the Silver transformation layer.
•	Cut runtime of a 10-table reconciliation query from ~22 minutes to under 90 seconds (>90% reduction) on a ~3B-row Silver fact table, by introducing date-range partition pruning and a covering index on the primary join keys (device_id, event_ts), and closed a recurring 3–5% reported-vs-actual gap to <0.5% by tracing the discrepancy to mid-cycle pricing-rule changes and rewriting the join against an SCD2 effective-dated reference table.
•	Reduced average daily report runtime from ~12 minutes to ~2 minutes (~83% reduction) across Gold-layer dashboards, by partitioning the Silver fact table on event-date, replacing correlated subqueries with window functions in three top-r

Data Analyst AI and ML

Led on-boarding process of new premises and metered services, including configuring unit premises, service points, and attaching meters to points in accordance with company standards. Created and executed monitoring and verification plans to ensure timely and accurate completion of onboarding projects, utilizing tools such as project management software and monitoring dashboards. Managed team resources and assigned tasks based on skill set and project requirements to optimize project efficiency and meet deadlines. Involved in projects which includes decommissioning of meters and integration of new metering devices within the Meter Data Management system and billing system by configuring device settings and testing for proper data transmission. Investigated and resolved technical issues related to new properties/premises, utilizing debugging tools and collaborating with technical support teams to ensure timely and accurate on-boarding for the first customer billing. Tracked key performa

➡️ Reduced customer complaints by more than 40% in two years by providing optimized and cost-effective solutions. ➡️ Performed RF design and optimization as well as coordinated with technicians and third-party clients to accomplish successful project delivery. ➡️ Coordinated strategic planning with diverse short- and long-range RF networks. ➡️ Prepared daily project status updates to inform staff and document project changes. ➡️ Learned various RF and mixed-signal circuits emphasized designs in a fast-paced production environment.

Software Programmer

➡️  Involved in Data Processing techniques for making the data useful for creating machine learning models. ➡️  Owned and executed end to end multiple data science projects. ➡️  Translate product requirements into analytical requirements / specification, design and develope required functionality. ➡️  Executing quality control checks in the form of SQL queries to ensure data integrity and enforce business rules. ➡️  Involved in creating various regression and classification algorithms by using various sklearn libraries such as Linear Regression, Decision Trees, Naive Baye's. ➡️  Involved in creating Machine Learning Models for test A/B content which is useful for making better decisions regarding the products

Lead Data Analyst

I love building mobile apps

github

Know about mudasir khan's work experience, education, bootcamps, certifications, and much more. mudasir khan