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خلاصہ
I work as a Data Scientist, helping organizations address their pressing business problems. I create innovative and scalable solutions that reduce costs and maximize productivity, thus ensuring long term success. I have created solutions around both numerical (financials, statistics etc) as well as unstructured data sets (customer feedback, comments, emails, chat conversations, transcriptions etc) using Machine/Deep Learning based techniques, (coupled with platform agnostic technologies), that add significant value to the businesses.
پراجیکٹس
تجربہ
Data Engineer
• Fetch and integrat data from diverse sources, including APIs, web pages, and spreadsheets, to support comprehensive analysis.
• Develop automated scripts to regularly update and synchronize data across platforms, ensuring data accuracy and availability.
• Utilize tools such as Python and R to automate data transformation processes, significantly reducing manual effort and errors.
• Maintained and managed databases to ensure optimal performance and accessibility for end-users.
• Designed and developed interactive dashboards using Excel, R Shiny, and Python to present data insights effectively.
• Optimized database queries and structures to improve data retrieval times and reduce resource consumption.
Statistical Officer
• Conduct in-depth analysis of complex patient data from various hospital departments using advanced statistical methodologies and data visualization techniques.
• Perform rigorous data cleaning, validation, and transformations to maintain the accuracy and reliability of healthcare databases, ensuring high data quality for informed decision-making.
• Calculate, analyze and report KPIs that World Bank use to assess project’s progress.
• Utilize advanced data mining techniques to accurately identify disadvantaged individuals eligible for benefits under a conditional cash transfer program and prevent fraudulent claims, safeguarding program integrity and optimizing resource allocation.
Data Analyst
• Utilized natural language processing (NLP) techniques to extract valuable insights from large volumes of unstructured text data.
• Developed and implemented machine learning models to detect recurring themes in customer feedback and chat data.
• Analyzed feedback data to identify common customer pain points, driving improvements in product development and customer service strategies.
• Led the transition from static Excel-based dashboards to dynamic web-based dashboards, improving data visualization and user interactivity.
Business Analyst
Worked as a freelance data/business analyst.
