May 2025 – Present · 1 yr 1 mo

• Perform data extraction, transformation, and loading (ETL) from large healthcare datasets using tools such as SAS PROC SQL, SQL, and Excel.
• Conduct analysis to support population health management, quality improvement, and provider performance tracking.
• Ensure data integrity, perform quality checks, and troubleshoot issues across multiple data sources. Collaborate with cross-functional teams to gather requirements, define KPIs, and provide analytical support for healthcare-related projects and strategic initiatives.
• Participate in data validation and automation tasks to streamline reporting and reduce manual effort. Support the team in interpreting healthcare claims data, clinical data, and member data to support provider and member-level interventions.

Nov 2024 – Apr 2025 · 5 mos

• Ensured accuracy and consistency in labeling large datasets used for AI training and validation.
• Collaborated with data scientists and project managers to align annotation work with model objectives and quality standards.
• Utilized annotation tools like Labelbox and custom Python scripts to streamline labeling processes.

Feb 2024 – Aug 2024 · 6 mos · Gurugram, Haryana, India

• At Collegedunia, I am part of a dynamic team that thrives on turning data into strategic insights, driving decisions that shape the future of educational content and user engagement. My role involves analyzing complex datasets, building predictive models, and automating processes to enhance the quality and impact of our data-driven strategies.
• Key Responsibilities:**
• Data Automation & Optimization:** Automated data extraction and processing workflows using SQL and Python, which significantly reduced data preparation time by 30%, allowing for more efficient and scalable data operations.
• Data Cleaning & Preprocessing:** Enhanced data accuracy by 80% through meticulous data cleaning and preprocessing, leveraging Python tools to ensure high-quality datasets for analysis.
• Reporting & Insights:** Generated comprehensive reports and visualizations that communicated key insights and trends to stakeholders, enabling data-driven decision-making and strategy formulation.
• Achievements:**
• Improved the quality and reliability of data used across marketing and content strategies.
• Streamlined data workflows, boosting productivity and reducing manual effort.
• Collaborated with cross-functional teams to drive business growth through data-driven insights.
• This role allows me to apply my expertise in data science and analytics to solve complex problems, contribute to strategic initiatives, and drive meaningful outcomes for Collegedunia’s business and users.

Apr 2023 – Apr 2024 · 1 yr

• Completed a Postgraduate Program in Data Science, focusing on hands-on skills in Python, SQL, Machine Learning, and Data Visualization. This program enhanced my ability to derive insights from data and apply them to real-world business problems.

Jun 2022 – May 2023 · 11 mos · On-site

• Assisted the team in collecting, structuring, and evaluating data from diverse sources.
• Created data visualizations and reports to effectively communicate key findings to clients.
• Contributed to the successful optimization of marketing campaigns, resulting in a 15% increase in conversion rates and a 10% reduction in customer acquisition costs.