o Programmed and Back-tested 6 Tactical and Strategic Asset Allocation models in Python.o Simulated ETF data back to 1984 for various assets, using linear regression of returns and benchmark indices. o Learned and applied data analytics and manipulation libraries of Pandas, Numpy and SKLearn.o Utilized Asset Allocation techniques like Minimum Variance Optimization, Momentum and Risk Parity, to deliver low beta and market beating returns for our models.

1. Conceptualize novel personal cooling device for Indian Market.2. Prepare presentations and documents to analyze the feasibility and market potential of this business opportunity.3. Conducted customer pain point surveys to understand how our solution can be improved.4. Create 3 iteratively improved prototypes and test with 35 people from target market. 5. Co-worked with 2 HVAC industry experts to create this product and prepare go-to-market strategy.

1. Understand and study 2 business vertical process and clearly list down the input and outputs of these processes.2. Find correlations between these inputs and outputs to find ways to maximize outputs.3. Use Data Analytics tools like Python Pandas and Microsoft Excel, to find valuable correlations.4. Make data driven insights and suggestions on how the organization can increase outputs of the respective processes.5. Calculate the effect of these insights and their effect of revenues and profits of the business.