Aseem Goyal
Intern, Business Excellence & Vertical Markets at SIEMENS
Business Administration at NATIONAL UNIVERSITY OF SINGAPORE - NUS BUSINESS SCHOOL
Singapore
Hi, I'm Aseem Goyal!
Intern, Business Excellence & Vertical Markets at SIEMENS
Born and raised in the vibrant state of Punjab, India. Brings with me 7 years of valuable experience in the dynamic field of Data Analytics. Adept not only in the realm of data but also on the tennis and chess courts, showcasing a passion for strategic thinking and competitive play.
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Experience
SIEMENS
Intern, Business Excellence & Vertical Markets
February 2024 - Present
Developed market intelligence tool using PowerBI aggregating construction data of 12k+ projects teams across APAC Coordinated with global stakeholders & regional leadership to develop, localize and implement the company’s sales tools Aggregated sales performance data across APAC region to calculate sales productivity, identifying performance gaps
CAMPUS ACTIVEWEAR LTD
Senior Manager – Central Analytics
September 2018 - June 2023
Led a team of 20 to successfully plan and execute the company's largest digital sales event, resulting in USD 12M sales. Developed and managed the e-commerce channel budget, achieving exceptional 190%+ CAGR growth over 4 years Streamlined payments and commercials across various e-commerce platforms, reduced costs by USD 120k in FY22. Automated processes to analyze competitors' pricing and product availability, saving significant time and effort. Conducted comprehensive analysis of end-to-end supply chain, creating a company-wide Article Pipeline Implemented key supply chain metrics, including production adherence, vendor scorecard, fabricator capacity allocation, driving a 30% increase in efficiency and a reduction in lead times. Developed a footwear packing and assortment tool, reducing inventory by 90% and improving order fulfillment by 15%
EXL SERVICE
Consultant II
September 2016 - September 2018
Leveraged Python to develop a predictive model for a US-based insurance company, achieving ~80% accuracy in forecasting refurbished mobile phone prices and volumes. Automated and upgraded multiple dashboards and reports, optimizing efficiency by 50%. Designed a global model to evaluate revenue and profit projections across globe and business models for market expansion. Developed a price optimization model for second-hand mobile phone trade-in, resulting in a >10% increase in sales. Created a B2B stock liquidation tool, increasing profitability and vendor fulfillment by over 30%.
Education
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Projects
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Languages
English
Professional
Hindi
Native
Punjabi
Native
Skills
Microsoft Excel Expert
Python
SQL
Power BI
VBA Excel Macros
Data Analytics
Critical thinking
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