Experienced Graduate Business Analytics student with a strong track record of delivering strategic initiatives and achieving significant cost savings. I am a collaborative team player passionate about making data-driven decisions. Here are some key highlights from my career: T-Mobile - Media Analyst: Identified new advertising opportunities through market research, leading to a 25% increase in channel allocation based on performance and ROI, and advised on cost reduction measures that yielded a 20% decrease while maintaining or improving business outcomes. Foster School of Business - Data Analysis Coordinator: Employed A/B testing and user flow analysis to enhance top-performing pages, resulting in a 12% upsurge in impressions and conversion rates. Streamlined website audits, reducing page load time by 14% and increasing new users, sessions, and average session duration. Bewakoof.com - Business Analyst: Reduced product returns by 32% and manufacturing costs by ~$100K by implementing a Qlik dashboard. Boosted sales by 7% through data-driven analysis, optimized inventory management, and launched targeted promotions. Developed data-driven strategies, automated competitor and market analysis, and created visualization dashboards. London Stock Exchange Group - Associate Software Engineer: Collaborated with cross-functional teams to increase sales by 14% for a newly launched product. Streamlined coding and workflow enhancements, resulting in a 20% improvement in overall efficiency. Skills: Technical: R, Python, Tableau, Power BI, SQL, NoSQL, Qliksense, Google Metabase, Jira, Google BigQuery, Adobe Analytics, Google Studio, Google Analytics, SEMrush, GA4, CRM, ERM, Google Search Console, ETL, Unix, Google Sheets, Excel, Hypothesis testing, Regression analysis, Clustering, Power Query, AWS Redshift, Snowflake, SDLC, Product Analytics, Confluence, SEO. Certifications: Google Analytics, Hacker Rank - 4-star in SQL. I have also led projects such as evaluating restaurant hygiene and cleanliness ratings using data analysis and implementing a book recommendation system based on user preferences.