Developed 3D energy models using Python and Energy plus, enhancing analysis precision by 20%. Applied machine learning for urban energy optimization, leading to a 15% improvement in energy modeling accuracy.

• Led client satisfaction efforts, using data-driven strategies to boost customer retention by 20%. Conducted regular data analysis of customer feedback to inform strategic decisions.• Resolved an average of 20/30 customer inquiries and issues per day over the phone calls, achieving a 95% satisfaction rate by addressing needs.• Negotiated strategic partnerships, securing resources that contributed to a 20% increase in company growth over the fiscal year.• Lead a team of 8 members, fostering a collaborative environment that resulted in a good percentage increase in collective productivity within 6 months.• Reviewed customer feedback post-sales, implementing tailored strategies to win back dissatisfied customers by offering targeted promotional offers.• Respond to incoming email and phone enquiries• Examined Export Certificates, Auction Reports, Invoices, and Bill of Lading for vehicle shipments to avoid discrepancies and enhanced customer satisfaction.• Conducted usability testing on software modules to ensure ease of use and understanding for users.

• Established cold-calling in order to create interest in products and services, generate new business leads and arrange meetings.• Prepare and deliver presentations and demonstrations of software to customers.• Market and promote a portfolio of products by writing and designing sales literature and attending industry events.• Managed hardware or software problems and faults, referring on to specialist technical colleagues where appropriate.• Respond to tender documents, proposals, reports and supporting literature.