Talented Data Analyst and Software Engineer with 8+ years of thorough hands-on experience in all levels of the software life cycle and good knowledge of Object-Oriented concepts and Design Patterns. Hands-on experience in AI, ML, ES, and DS algorithms implementation in Python, as well as data analysis, aggregation, cleaning, and enrichment using Python and related frameworks. Adept in remote working, meeting deadlines, and managing teams. Shumaila has worked with different programming languages, operating systems, and development tools (IDE) and has the ability to convert complex business requirements to solutions that are scalable, reusable, and delivered on time.
Create and implement data analysis pipelines, including data access, ingestion, munging / manipulation / cleansing, analysis / modelling, testing, deployment / integration into business applications and services.
Enhance operational aspects of businesses by increasing control of the company's data.
Working in cross-functional teams to provide data-driven solutions for increased efficiency and productivity.
Provide data-driven solutions for increased efficiency and productivity. Identify, design, and implement internal process improvements including automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
Built and optimized raw data ETL and ELT pipelines, architectures, and data sets. Converted raw data to processed and actionable information. Transformed, integrated, and cleaned the data, making it usable for teams across the business.
Specialized in API and web services development (FLASK, WEB, Bottle), manipulation (JSON, XML) and deployment (Heroku, GCP) in Python, and also working with Django.
Worked on the design and development of desktop and web based applications in C# and VC++ .NET, both in front-end and back-end.
Involved in multiple projects, including E-Commerce Applications, Payment Gateway Integration, Management Systems, Point of Sale systems, and Crawlers to extract specific data.
Developed SQL Database based systems and supported new business systems by providing the necessary modifications. Ensured quality of system through comprehensive unit testing and collaboration with quality assurance engineers to enable thorough system testing.
Safegraph is the most accurate Point-of-Interest and
Store Location Geofences for the U.S. SafeGraph’s places dataset includes a breadth of information about physical places in the US & Canada. This includes core location information, spatial hierarchy metadata, place traffic data, and more. Organizations use our data to help inform their people and machines to make better decisions for growth. Performed scraping script for the platform using multiple technologies, mainly Python.
CultivatePeople is a team of compensation experts dedicated to simplifying compensation practices. Founded by Lola Han in 2017, CultivatePeople partners with companies to attract, retain, and engage employees through a comprehensive compensation strategy. Worked on performing search engine optimization in Python AWS using React.
LinkedIn leads generation tool uses professional demographic data to target the right people by job title, company, industry, seniority, and more. Retarget website visitors, reach contacts, and build account-based marketing campaigns with Matched Audiences, a set of custom targeting options. Worked on facebook scraper, google based automations, and data mining tools.
Education
Bachelor's Degree, Computer Software Engineering
Fatima Jinnah Women University Rawalpindi
2000 - 2004 (4 years)
Google Kubernetes Engine, Google Cloud; Machine Learning, Stanford University; AI For Everyone, deeplearning.ai
