Manasi Parmar

Data Analyst

Cognizant

Aug 2023 - Current (3 years 1 month)

• Developed and implemented advanced predictive and prescriptive analytical models using Python and R, significantly enhancing the platform's capability to forecast market trends and customer behaviors. • Designed and created interactive dashboards using Power BI, facilitating real-time data visualization and insightful reporting for business stakeholders. • Led the design, execution, and architecture of ETL processes using DAX tools, ensuring efficiency, accuracy, scalability, and performance of the analytics platform. • Implemented Agile methodologies using JIRA for efficient project management, overseeing timelines and deliverables.

Data Analyst

IQVIA

Jan 2023 - May 2023 (5 months)

• Analyzed a dataset of 10,000+ patient records using SQL, pandas, and NumPy, resulting in a 15% improvement in diagnosis accuracy by uncovering intricate medical patterns. • Utilized Power BI for impactful data visualizations, enabling swift, informed decision-making by stakeholders. • Optimized data processing pipelines across diverse cohorts, achieving a 20% reduction in processing time through SQL query refinement and the implementation of Python frameworks such as TensorFlow and scikit-learn. • Orchestrated Agile-driven data pipelines, integrating ETL/ELT tools and Python to harmonize data from varied sources for advanced analytics, contributing to data-driven decision-making and organizational efficiency.

Business Intelligence Analyst

University of illinois

Aug 2022 - Dec 2022 (5 months)

• Developed predictive models to forecast student enrollment trends, improving decision accuracy by 30% and aiding strategic planning. • Created and managed 20+ interactive Power BI dashboards, identifying at-risk students and increasing retention rates by 15%. • Reduced SQL query run times by 50% through normalization and indexing on databases. • Analyzed and reported on 10+ TB of academic and operational data using Power BI, leading to a 20% increase in data-driven decision making efficiency. • Communicated insights from data analysis through presentations to leadership, supported by Power BI visualizations.

Associate Analyst

Capgemini Technology Services

Nov 2019 - Oct 2021 (2 years)

• Developed and implemented data processing pipeline, automating data collection, cleaning, and transformation processes. resulted in increasing data processing efficiency by 40% and improved data accuracy by 30%. • Utilized SQL to execute complex database queries, data extraction, and manipulation across large datasets of over 2 TB, deriving critical insights that influenced key business decisions and strategies. • Employed PySpark for big data processing, efficiently handling and analyzing datasets in a distributed computing environment, which streamlined data processing times by 50%. • Created dynamic dashboards using Power BI, enhancing data visualization and reporting capabilities, which provided insights into business metrics for

Data Analyst

Genpact

Jan 2019 - Oct 2019 (10 months)

• Revolutionized data analytics with meticulous extraction and interpretation, employing advanced visualization for a 30% surge in actionable strategies. • Optimized Azure Cloud SQL Server, boosting data retrieval efficiency by 25%, enhancing database performance and operational streamline. • Enhanced engagement by 40% through strategic social media content and precise YouTube editing, leveraging Google and Meta Facebook Analytics for a 25% improvement in campaign effectiveness.

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