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PS@parmeetsaluja
Early-career data scientist with expertise in business intelligence.
ZimbabweI am a Business Intelligence Engineer and Data Analyst with a strong foundation in data science and analytics. My experience spans across various industries, where I have successfully utilized my skills in Python, SQL, and data visualization tools like Tableau and Power BI to drive impactful business decisions. I thrive on transforming complex data into actionable insights, enabling organizations to optimize their operations and strategies.
During my tenure at Capgemini Technology, I led the design and optimization of SQL and Python ETL pipelines, significantly reducing latency and enhancing data integrity. My role involved collaborating with cross-functional teams to address ambiguous business challenges, resulting in improved product pricing and fraud prevention strategies. I am passionate about leveraging data to uncover patterns and trends that can lead to substantial cost savings and operational efficiencies.
As a Research Assistant at Carnegie Mellon University, I am currently analyzing vendor datasets to develop predictive models aimed at cost optimization. I am committed to continuous learning and professional growth, and I am eager to contribute my expertise to a forward-thinking organization that values data-driven decision-making.
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Work history, roles, and key accomplishments
Carnegie Mellon University
Apr 2025 - Present (7 months)
Analyzed 5+ vendor datasets and market trends to drive predictive data models and cost-optimization strategies. Built scalable reporting solutions and drafted analytical reports to support decision-making and market insights for academic and business stakeholders.
Capgemini Technology
Apr 2021 - Nov 2023 (2 years 7 months)
Owned end-to-end design and optimization of SQL and Python ETL pipelines processing 2M+ records weekly, reducing latency by 13%. Developed and maintained 20+ scalable Tableau and Power BI dashboards supporting 100+ stakeholders to enable self-service and automate manual reporting. Partnered with cross-functional stakeholders to transform business problems into actionable data solutions and conduct
WhizoidStudio
Aug 2020 - Mar 2021 (7 months)
Automated SQL and Python pipelines and built 12+ Tableau dashboards to monitor campaign KPIs, increasing reporting efficiency by 50%. Partnered with marketing and product teams to execute and analyze A/B tests, delivering 10.4% lift in CTR and optimizing content targeting. Processed and transformed large campaign datasets to build customer segmentation models, boosting retention KPIs by 7%.
Degrees, certifications, and relevant coursework
CUMaster of Science, Engineering and Technology Innovation Management
Grade: 3.75/4
Activities and societies: Coursework: Data Science in R, Product Management Essentials, Project Management, Management Consulting
Pursued a Master of Science in Engineering and Technology Innovation Management, focusing on the intersection of technology, innovation, and business strategy. Coursework included Data Science in R, Product Management Essentials, Project Management, and Management Consulting.
Bachelor of Technology, Electronics and Telecommunication
Completed a Bachelor of Technology with a specialization in Electronics and Telecommunication. Gained foundational knowledge in electronic systems, communication technologies, and related engineering principles.
Software and tools used professionally
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