Rajesh R. Email & Phone Number

Seattle, WA, US

Bellevue, Washington, United States

• Improved benchmark by 30% by developing and implementing real-time dashboards, directly supporting the optimization of $1M+ in Paid Media investments.
• Managed and optimized campaigns using DSPs, SSPs, and Ad Exchanges, improving media performance by 30%.
• Lead the analysis of multi-channel data, resulting in a 20% increase in conversions and a 15% reduction in cost per conversionthrough strategic optimizations.
• Developed data pipelines to support internal attribution models and measure incrementality, enabling 25% faster identification ofhigh-performing media channels.
• Led ad marketplace management by analyzing multi-channel data, resulting in a 15% reduction in cost per conversion for one of the biggest cruise company.

Minnesota, United States

• Client: Largest mall of United States
• Utilized Python and Pandas for data preprocessing and analysis to isolate loyalty customers, resulting in a streamlined dataset for targeted analysis.
• Leveraged clustering algorithms to uncover distinct segments based on spending behavior, leading to actionable insights for personalized marketing strategies.
• Employed Tableau for visualizing cluster results and identifying patterns in Insider spending habits, facilitating data-driven decision-making for the client.
• Assessed the effectiveness of the Insider Loyalty program during the holiday season, enabling optimization of promotional efforts and maximizing ROI.

• Client - Non-Profit financial Institution
• Performed clustering analysis on household financial data across eight years to discover underlying user segmentation.
• Conducted logistic regression in Python to identify the top four significant metrics and recommending effective actions.
• Enhanced prediction accuracy by 30% in forecasting financial support program success rate.

Minneapolis, Minnesota, United States

• Client: Minnesota School
• Enhanced prediction accuracy by 30% in forecasting the academic success rate through the construction of decision tree models in R on 6K+ academic data over 10 years.
• Showcased annual performance improvement by developing an interactive dashboard in Tableau.
• Constructed an interactive dashboard in Tableau to visualize annual academic performance for further reference

• Spearheaded the development and launch of 10 app features, resulting in a 30% increase in user engagement within six months.
• Collaborated with cross-functional teams to craft data-driven narratives around customer, resulting in a 20% improvement in marketing campaign targeting efficiency.
• Led A/B testing initiatives that increased conversion rates by 10% and generated an additional $100,000 in revenue within a six-month period.
• Worked on SQL to extract, manipulate, and analyze over 2 TB of client data from various sources, generating insights that led to a 12% improvement in CTR.
• Managed Google Analytics (GA4) and Google Tag Manager to optimize website performance, resulting in a 18% increase in conversion rates over a two-month period.
• Scaled the development of a dashboard in Tableau to 20+ members in sales team. This provided actionable insights on KPIs related to logistics & sales. Resulted in an 80% reduction in cash burn for the ecommerce unit.

India

• Collaborated with data engineers to create ETL pipelines, enhancing real-time data accuracy by 20% resulting in ROI analysis for online and offline campaigns, reducing go-to-market time by 25%.
• Collaborated with consumer insights teams to identify trends and insights using SQL and GoogleCloud Platform to provide actionable reports, resulting in approximately $30k in savings within 1 year.
• Optimization of spend and performance drove business growth through improved conversions and targeted marketing efforts.
• Established code review checks using GIT & coordinating internally to maintain engineering best practices resulting in high quality code.
• Employed statistical methods using A/B testing in advertising campaigns to uncover causal relationships through t-test, resulting in a 15% revenue increase leading to optimization of sales funnel.
• Lead & monitored the ad hoc analysis initiatives for Website & Marketing Channel teams, using Tableau which resulted in a 20% increase in website conversion rates.