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.

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

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.

<p>Partnered with sales and product business units to establish a robust reporting infrastructure using Airtable, facilitating informed decision-making.<br>
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.<br>
Designed and implemented automated data extraction tools, efficiently gathering information from primary and secondary sources to optimize data collection processes.<br>
Developed and maintained comprehensive databases and data systems, ensuring seamless data organization and accessibility in a user-friendly format.</p>

<p>Conducted comprehensive literature reviews, collected and analyzed research data, and synthesized findings into informative reports.<br>
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.</p>

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