Aashish Sharma Email and Phone Number

Infrastructure and Procurement Analytics

Master's in Business AnalyticsCoursework==========• Data Mining I (Machine Learning Algorithms such as Neural Networks, Decision Trees, Random Forest, SVM, KNN, K-Means Clustering; Techniques such as Ensemble Learning, Stacking, Bagging, Boosting, PCA, Regularization)• Data Mining II (Text Mining, Recommender Systems, Social Network Analysis and Graph Theory, Hadoop, AWS, Spark)• Analytical Decision Modeling I (Linear and Non-linear Optimization Modeling)• Analytical Decision Modeling II (Simulation Modeling, Stochastic Processes)• Data Driven Quality Management (Design of Experiments, Lean Six Sigma, Statistical Process Control)• Marketing Analytics (Brand Positioning, Customer Segmentation, Competitor Analysis, Customer and Product Analytics)• Business Analytics Strategy (Data Visualization)• Enterprise Analytics (Relational Databases, SQL, Dimensional Modeling, Online Analytical Processing)• Applied Analytics (Descriptive and Inferential Statistics, Hypothesis Testing, Regression Analysis)

Full time MBA candidate at W P Carey School of Business

Project to analyze, interpret and present voluminous operational data from PortsAmerica and create Decision Models for the company using unsupervised learning with tools such as Excel and SQL.

Worldwide Logistics Group at Tesla Factory Fremont

Executed route management, warehouse management, and material planning for finished goods and WIP.Optimized spares procurement & benchmarking process to manage breakdown & reduce cost by more than 10%Involved in contract negotiations for strategic resources for long-term profitability.Used analytical tools such as Excel, SQL, Azure and Tableau for demand forecasting and presentation.Prepared monthly financial reports, analyzed inventory costs, and managed budget for the firm.Instituted financial performance metrics in Supply chain department.

Liaised with port, terminal representatives, and authorities in 40 countries for customs compliance, ocean, air and land freight, RFP/RFQ/RFI, procurement, demand planning, and quality inspections.Designed and delivered a safety and skill training program to train crew and reduced emergency response time by more than 20%Analyzed annual spend reports to find areas with the maximum potential to realize optimization benefitsEfficiently managed labor relations with more than 200 dry dock workers to reduce the vessel's lay off time in Dry-dock, by 15%.Managed ship's budget and contracted teams (12) for repairs and inspection.Led 25 shipboard crew to prepare the ship for various International Health, Safety, Security and Environment (HSSE) inspections and successfully managed to demonstrate compliance.

Monitored more than 100 cargo transfers of 5.4 Million MBTU (Million British Thermal Units) of LNG, worth more than $15 million each.Managed inventory reporting and federal compliance of HAZMAT onboardReceived stores, and managed inventory of products ranging from critical spares to perishable goods. Appointed safety officer & proactively took actions to meet all health and safety requirements and consistently met the zero TRC (Total Recordable Cases) performance on board ship.Reconciled spends in different accounts to create a consolidated expense report.Promoted three levels based on superior leadership performance, received a scholarship for academic performance in Mate's Exam and was recognized for cargo management skills.