I am passionate about my work. Because I love what I do, I have a steady source of motivation that drives me to do my best.
I am ambitious and driven. I thrive on challenge and constantly set goals for myself, so I have something to strive towards. I’m not comfortable with settling, and I’m always looking for an opportunity to do better and achieve greatness.
i have completed my 10th board in 2018 from CBSE with aggrigrate percentage 75.4
i have completed my intermediate in 2020 form BSEB patna with aggrigrate percentage 80
I am currently enrolled in bachelors of technology with stream Mechanical engineering in MMMUT,Gorakhpur
Your client is a meal delivery company which operates in multiple cities. They have various fulfillment centers in these cities for dispatching meal orders to their customers. The client wants you to help these centers with demand forecasting for upcoming weeks so that these centers will plan the stock of raw materials accordingly.The replenishment of majority of raw materials is done on weekly basis and since the raw material is perishable, the procurement planning is of utmost importance. Secondly, staffing of the centers is also one area wherein accurate demand forecasts are really helpful. Given the following information, the task is to predict the demand for the next 10 weeks (Weeks: 146-155) for the center-meal combinations in the test set:
View projectProject descriptionMany online businesses rely on customer reviews and ratings. Explicit feedback is especially important in the entertainment and ecommerce industry where all customer engagements are impacted by these ratings. Netflix relies on such rating data to power its recommendation engine to provide best movie and TV series recommendations that are personalized and most relevant to the user
View projectIn this competition, we are challenging the MachineHack community to come up with an algorithm to predict the price of retail items belonging to different categories.
View projectThe data was collected through surveys by Kathmandu Living Labs and the Central Bureau of Statistics, which works under the National Planning Commission Secretariat of Nepal. This survey is one of the largest post-disaster datasets ever collected, containing valuable information on earthquake impacts, household conditions, and socio-economic-demographic statistics.Based on aspects of building location and construction, your goal is to predict the level of damage to buildings caused by the 2015 Gorkha earthquake in Nepal https://www.drivendata.org/competitions/57/nepal-earthquake/
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