Akash Pal Email & Phone Number

Dublin City, County Dublin, Ireland

• Managed merchandising for Avonmore and Premier milk and cream under the department of Glanbia Nutrition across South Dublin, collaborating with retail partners like Dunnes, Tesco, and SuperValu to optimize product.
• Qualified leads and engaged with customers to gather insights on consumer preferences, boosting sales by 15% through strategic product placement and recommendations to store and area managers.
• Played a key role in sales and lead qualification, providing data-driven recommendations to area managers and influencing merchandising strategies for key products.
• Trained and mentored 10+ employees in merchandising techniques and store demonstrations, ensuring high presentation standards for European stakeholders.
• Led stock rotation initiatives, reducing product waste by 10% and maintaining compliance with freshness standards, contributing to increased sales performance

Mumbai, Maharashtra, India

• Developed and maintained Power BI dashboards, streamlining analytics reporting and cutting report generation time by 25%.
• Enhanced predictive insights by 20% using Python and R-based models, demonstrating strong statistical and analytical skills.
• Managed ETL processes in SQL Server and MySQL, improving data accuracy and reducing errors by 40%.
• Performed data aggregation and trend analysis, boosting customer retention by 10% and increasing revenue by 12%.
• Collaborated with cross-functional teams to deliver clear, actionable reports that supported business goals, improving data accessibility for stakeholders.

Mumbai, Maharashtra, India

->Accurately handled projects with Healthcare domains,like Detection of Parkinson Disease,Fake News Detection.->Partnered directly with the executive team as the first data hire to formulate and report on KPIs across their web properties that received 225M visitors annually using SQL and Google Sheets ->Built a logistic regression model to help the SEO.

United States

->Developed and owned reporting for a nationwide retention program with Python, SQL, and Excel, saving ~90 hours of monthly labor ·-> Identified procedural areas of improvement through customer data, using SQL to help improve the profitability of a nationwide retention program by 8% ->Applied models and data to understand and predict repair costs for.

Kanpur

Master'S Degree, Data Analytics

Bsc, Information Technology, 9.20 Ggpa

Hsc, Science

Ssc

Internship, Data Analytics