Haris Saeed Email and Phone Number

• Contributed to market insights across various categories, focusing on UAE, Saudi Arabia, Oman, Kuwait by managing a key client portfolio valued at more than $200k.• Improved customer satisfaction for NIQ’s primary FMCG client in the middle east by optimizing their experience with provision of high-quality analytics related to Market shares by 5% in a quarter.• Acted as the main point of contact for customers, providing solutions, addressing queries, and conducting comprehensive data analysis, including market reports and ad-hoc inquiries.

• Implemented strategies for margin maximization and cost reduction at a leading beverage firm, providing significant revenue opportunities.• Conceptualized and oversaw the development of a self-service Customer Segmentation Software as a Service (SaaS) tool.• Engineered a solution for lost sales visibility at a major electronics retailer, integrating substitution factors to enhance accuracy.• Implemented Power BI solutions for key clients delivering comprehensive sales, supply chain forecast, and inventory insights at both executive and operational levels.• Utilized supply analytics to optimize replenishment strategies for a retail giant, resulting in a 4% year-over-year increase in sales revenue.• Led a machine learning-driven store clustering along with a supply chain inventory balancing initiative for a textile conglomerate, streamlining data analytics processes across the organization.

• Improved customer retention by 8% and planned revenue growth through machine learning initiatives at a leading fashion retailer.• Enhanced cost-effectiveness in vendor management and procurement analytics for a renowned apparel brand.• Drove data-driven insights and supply chain efficiencies for a major telecommunications company.• Developed strategic sales segmentation strategies and provided tailored solutions for a prominent retail partner.• Contributed to the enhancement of natural language processing technologies through rigorous performance evaluations.

In "An Analysis of Biomass Electricity Generation Potential in Pakistan and its Feasibility in terms of the Environmental and Financial Perspectives," I utilized applied data analytics and financial modeling techniques. Specifically, I employed Geo-Spatial Clustering to determine the optimal location for a 3 MW Biomass plant, and utilized linear programming to minimize operational costs while producing 22000 MWh of clean energy.