Self-Motivated, analytical with ability to work independently as well as in a team environment. Areas of interest include Analytics. Skills include R programming, Python, Excel functions used in statistical analysis strong, leadership, problem solving skills; possess an eye for detail. Focused professional with background in Back Office Associate roles. Experience spans administrative support, data management, and customer service. Strengths lie in multitasking, problem-solving, and maintaining strong communication lines within teams. Previous work has resulted in improved efficiency in back office operations and streamlining of document processing tasks.
Stock Market Prediction using Machine Learning, In this project data was been taken of NIFTY 50 on which ARIMA modelling which uses Box Jenkins methodology. In which following steps were used: AR(Auto regression): The values of the given time series data are been regressed on their lagged values which I represented by p value in the ARIMA modelling. Differencing( I for Integrated): In this differencing of the time series data is done by removing the trend and converting the non-stationary time series to stationary one it is represented by d value. Moving Average: It is represented by q value which is the number of lagged values of the error term. Solar Tracker, It was a major project based on solar tracking device using microcontroller to convert solar energy into electrical energy. In which coding was done inside the Atmega8 microcontroller a panel mounted so as it can adjust with direction of the sun. In this a torch light was taken as sunlight because of smaller size of the panel., Sagar Institute Of Research Technology And Science, Bhopal Boiler section, There I got exposure to the industrial sector especially the boiler section about water treatment methods used in factories and also various sectors in BHEL and the industry works. In BHEL I got to see how heavy machineries such as turbines, electric generators are made. A proper mechanism of how the goods are delivered and delays were rectified., BHEL, Bhopal Predicting Consumer Behaviour, In this project data was fetched from Amazon, flipkart etc. And analysis was done by using visualization tools such as Power BI. Also various use cases related consumer churn was also studied so as to get clear picture about consumer insight.
Self-Motivated, analytical with ability to work independently as well as in a team environment. Areas of interest include Analytics. Skills include R programming, Python, Excel functions used in statistical analysis strong, leadership, problem solving skills; possess an eye for detail.