Data Analyst
Lifescience Intellipedia Private Limited
Extract, clean, and transform large datasets using Python (Pandas, BeautifulSoup, Selenium, APIs, Web Scraping) for analytics and reporting. Conduct data analysis and reporting to deliver actionable insights that support business and product decisions. Work extensively on pharma industry datasets to identify trends, measure performance, and support decision-making in product strategy. Build and maintain automated Python scripts to streamline repetitive tasks, improving efficiency and reducing manual workload. Develop interactive dashboards and reports in Tableau, Power BI, and SQL for stakeholders across business functions. Collaborate with product and business teams to provide data-driven recommendations that enhance product performance and market growth. Perform product analysis including user behavior, adoption trends, and performance metrics to support product roadmap decisions. Ensure data quality, validation, and consistency across multiple sources for accurate reporting.
Data Management and MIS
Headfield Solution Private Limited
Collaborate closely with product analysts to translate business needs into actionable insights and data-driven strategies. Develop and maintain interactive dashboards for payment tracking and reporting, ensuring real-time insights into key financial metrics. Generate and automate Management Information System (MIS) reports, focusing on payment workflows and operational efficiency. Design and enhance Tableau dashboards to visualize and communicate complex data in an easily understandable format for stakeholders. Utilize Google Sheets and advanced pivot tables to analyze and organize large datasets, providing quick access to essential information for decision-makers. Perform regular data validation and quality checks to ensure accuracy and reliability across all reports and dashboards.
Data Insight Specialist
Times Internet
Created and maintained database to store research data. Analyze statistical data using both modern and traditional methods. Developed algorithms and software to automate data gathering and analysis processes. Participated in data mining activities to uncover insights from various sources. Used software to evaluate and interpret data.
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