Delivered large Carve-out IT Diligence files (sell-side) in Technology industries. Built Standalone IT/Technology cost model collaborating with seller for the Target’s post-deal operating model. Provided cost saving opportunities and one-time cost in transition management. Delivered Carve-out Ops cost assessments and one-time cost analysis for Food & Beverage industries. Built Standalone P&L view for various Carve-out to valuate standalone costs and assess and quantified the financial impact and execution complexity of different carve out scenariosSupported public sector clients in the formulating a multi-year budgets and costing analysis of various policing departments. Developed a financial model to review and validate cost baselines and associated cost drivers of the operational and transition costs.Supported the construction industries to first evaluate sources of cost escalation and then execute on opportunities for strategic cost reductions. Leveraged Power BI to perform descriptive analytics and discover trends and insights to diagnose business challenges and delivered dashboards to track KPIs.

Mergers & Acquisitions - Value Creation ServicesHelp clients increase revenue, reduce costs, improve working capital, drive efficiency and transform business models radically.

Pro-bono consulting services to businesses and charities in the Vancouver area. Assisted BC Crisis Center to predict growth of donors per geographical locations and developing marketing strategies. Data Analysis on criterias like Demographic, Photographic and Behavioral data points. Using Descriptive and Predictive Data analysis to establish Donor Personas

Optimized promotional portfolio for pharmaceutical clients across the globe, by predicting future sales using Machine Learning models and targeting lucrative physiciansIncreased sales by 21% for world's top Pharmaceutical US based company by developing Artificial Intelligence enabled recommendation engine which dynamically recommends which physician to target based on their behavior. Created an omni-channel Resource Optimization model to optimize promotional portfolio, overall sales and field interactions between sales reps and physicians. Leveraged LSTM neural network along with PulP python library for linear programmingDesigned a dynamic XGBoost Machine Learning model for a top UK based pharmaceutical company, to predict the triggers responsible for physicians to give consent to receive promotional emails. Performed intricate Feature Engineering to get relevant features for the model to learn. A high success rate of the model led the client to deploy this model in other markets around the globeBuilt a Predictive Insights Model for a Canadian based pharmaceutical company, leveraging LSTM neural network to classify physicians as Incliners or Decliners of sales using behavior, promotions and competitor sales data. Leveraging deep learning models to generate Predictive Insights for top pharmaceutical clients to optimize sales.

Autonomously managed first mile operations, including inbound, outbound, and Inventory Control Quality Assurance for the Amazon Fulfillment Center. Managed a team of 60, with six direct reports. Ensured operational KPIs are met.Reduced pick/pack error by 11% by introducing and implementing a macros optimization tool in the Quality departmentSpearheaded the creation of interactive KPIs for the warehouse to help reach company goal of 87% utilization. Used Gurobi Optimization tool for simulation.Identified business impact of trends and made data-backed decisions while liaising with the Finance, Risk and Quality Management teams across FCs to achieve the vision of being the most customer-centric organization in the world

Developed Artificial Intelligence enabled recommendation engine which recommends similar users based on personality assessment and further recommends travel destinations using collaborative filtering and hyper-personalizationContributed to the research and development of Natural Language processing, Deep Learning and Image tagging

Virtual Internship Data quality assessment,cleaning of data using Excel and RData insights and visualization using R Data Presentation in Tableau

Built an All Terrain Vehicle from scratch