Jul 2024 – Oct 2024 · 3 mos · Patna, Bihar, India · Remote

• As a Data Analyst Intern, I gained hands-on experience in setting up, managing, and optimizing digital marketing campaigns.
• I supported key functions in data analysis and campaign strategy, utilizing tools like Google Ads, Facebook Ads, Power BI, and Google Looker Studio to improve campaign performance and streamline reporting.
• Key Responsibilities and Achievements:
• Campaign Setup & Management: Assisted in managing digital campaigns across Google Ads, Facebook Ads, and Instagram.
• Monitored metrics such as CTR, CPC, CPA, and ROAS, and helped adjust targeting and bidding strategies, leading to a 20% increase in ROAS.
• Data Integration & Automation: Integrated Snowflake with Power BI and Google Sheets, automating data retrieval and reducing manual reporting time by 35%, which improved data accuracy and allowed for quicker insights.
• Dashboard Creation & Visualization: Developed interactive dashboards in Power BI and Looker Studio to track real-time performance metrics, including CTR, CPC, CPA, and engagement rates, enabling the team to make quick, data-backed decisions.
• Comprehensive Data Analysis: Analyzed campaign data to identify trends and insights, refining targeting strategies and ad creatives. This data-driven approach improved CTR by 15% and contributed to better budget allocation.
• Keyword & Competitor Research: Conducted thorough keyword analysis and competitor benchmarking to enhance ad targeting and relevance, which boosted ad visibility by 15% and engagement by 12%.
• Reporting & Performance Monitoring: Prepared weekly/monthly reports covering KPIs like conversion rate, bounce rate, and customer acquisition cost (CAC), which informed a 25% reallocation of budget to high-performing campaigns.
• E-commerce Listing Optimization: Optimized listings on Amazon and Flipkart through SEO-driven descriptions and keywords, increasing search visibility by 30% and boosting conversions by 12%.

May 2024 – Jul 2024 · 2 mos · India · Remote

• Developed a comprehensive Python-based data analysis project for restaurant data, which enhanced user retention by 15% through improved understanding of user behavior and sales trends.
• Engineered robust data cleaning using pandas and transformation pipelines, reducing data processing time by 40% and ensuring high-quality, accurate datasets for analysis.
• Created interactive visualizations using seaborn and matplotlib to present key insights to stakeholders, resulting in a 25% improvement in decision-making efficiency.

Jun 2022 – Jul 2022 · 1 mo · Raurkela, Odisha, India · On-site

• Developed expertise in pharmacy practice through hands-on experience in medication dispensing, patient counseling, and drug information services during hospital internships. Enhanced clinical skills and gained a comprehensive understanding of healthcare delivery complexities.
• Responsibilities:
• Dispensed medications accurately
• Provided patient counseling on medication use
• Offered drug information services to healthcare professionals
• Achievements:
• Improved prescription fulfillment accuracy by 15%
• Conducted patient counseling sessions leading to a 20% increase in medication adherence
• Keywords:
• Pharmacy Practice, Medication Dispensing, Patient Counseling, Drug Information Services, Clinical Skills, Healthcare Delivery