Tayyaba Qamar

• Building automations to connect software, automate processes, reduce manual work, and enhance efficiency.
• Leading the setup and configuration of AirTable and other project and process management tools, tailoring them to meet specific organizational needs.
• Collaborating with cross-functional teams to identify pain points, developing repeatable and scalable solutions for enhanced efficiency.
• Providing guidance and training to team members on effective process management, ensuring a cohesive workflow.
• Working collaboratively with Sales, Business Development, and Client Success teams to streamline systems, ensuring seamless exchange of all deliverables.

Building automations to connect software, automate processes, reduce manual work, and enhance efficiency.
Leading the setup and configuration of AirTable and other project and process management tools, tailoring them to meet specific organizational needs.
Collaborating with cross-functional teams to identify pain points, developing repeatable and scalable solutions for enhanced efficiency.
Providing guidance and training to team members on effective process management, ensuring a cohesive workflow.
Working collaboratively with Sales, Business Development, and Client Success teams to streamline systems, ensuring seamless exchange of all deliverables.

As a Tech Lead at Odetta.ai, my responsibilities span across various domains, ensuring streamlined operations, effective project management, and the successful implementation of data science initiatives. Key areas of expertise include:
• Operational Process Improvement & Automation:
o Developed an automated project allocation system, reducing costs by 50% and enhancing work distribution.
o Implemented an internal database to refresh and sell existing data, minimizing scoping costs.
o Established a system for managing 160+ remote employees across 12 countries and time zones.
o Streamlined the onboarding process, cutting down phone and email time by 45%.
o Utilized automation tools such as Zapier, UiPath, and data management tools/CRMs (Airtable, Monday.com, Asana etc.) for creating automated workflows.
o Proficient in Python, Google App Script and JavaScript for data processing to automate tasks.
o Developed numerous Robotic Process Automations (RPAs) for enhanced efficiency.
• Technical Assistance & Collaboration:
o Assisted technical teams in planning and executing data automation roadmaps and data strategies.
o Identified process improvement opportunities across various organizations.
• Data Visualization & Reporting:
o Designed and implemented Tableau and Python-based dashboards and summary reports for diverse users.
• ETL Development & Web Scraping:
o Created automated ETL roadmaps for extracting, processing, and loading data using web scraping techniques.
• Resource & Budget Management:
o Developed strategic plans, budgets, and roadmaps for data science projects and daily operations.
• Client Communication & Engagement:
o Communicated effectively with US clients to discuss and collect data science project details, ensuring alignment and understanding.

Partnered with sales and product business units to establish a robust reporting infrastructure using Airtable, facilitating informed decision-making.
Leveraged statistical tools to perform sophisticated data analysis, identifying and interpreting patterns and trends within complex datasets to generate automated reports for the sales team, driving diagnostic and predictive insights.
Designed and implemented automated data extraction tools, efficiently gathering information from primary and secondary sources to optimize data collection processes.
Developed and maintained comprehensive databases and data systems, ensuring seamless data organization and accessibility in a user-friendly format.

Conducted comprehensive literature reviews, collected and analyzed research data, and synthesized findings into informative reports.
Developed Linux shell scripts and one-liners to efficiently process and analyze terabytes of data on cluster computers, ensuring accurate and timely results for research projects.

Developed an automated project allocation system, reducing costs by 50% and enhancing work distribution.
Implemented an internal database to refresh and sell existing data, minimizing scoping costs.
Established a system for managing 160+ remote employees across 12 countries and time zones.
Streamlined the onboarding process, cutting down phone and email time by 45%.
Utilized automation tools such as Zapier, UiPath, and data management tools/CRMs (Airtable, Monday.com, Asana etc.) for creating automated workflows.
Proficient in Python, Google App Script and JavaScript for data processing to automate tasks.
Developed numerous Robotic Process Automations (RPAs) for enhanced efficiency.
Assisted technical teams in planning and executing data automation roadmaps and data strategies.
Identified process improvement opportunities across various organizations.
Designed and implemented Tableau and Python-based dashboards and summary reports for diverse users.
Created automated ETL roadmaps for extracting, processing, and loading data using web scraping techniques.
Developed strategic plans, budgets, and roadmaps for data science projects and daily operations.
Communicated effectively with US clients to discuss and collect data science project details, ensuring alignment and understanding.