Research Data Analyst highly motivated to explore the underlying story of data by applying and implementing the statistical knowledge and different programming languages. Love to prepare/pre-process data for a workable format for further analysis or storing by enjoying the painstaking part of data cleaning. Present the underlying story of data with visualization in a simple way that is informative and understandable for the people with even no knowledge of statistics or any programming skills after deep analysis of model fitting and comparing in case of both structured and unstructured data!
A temporal and spatial study of crime committed in Chicago |CS 6010 (Data Science Programming), Fall - 2019, BGSU
Computational Issues and Hyper Parameter optimization in LSTM |CS 7200 (Machine Learning), Spring - 2020, BGSU
SARIMA Forecasting and Analysis (Chicago Crime Data) |STAT 758 (Time Series Analysis), Fall-2018, UNR
Variational Bayesian Inference for Multivariate Normal Distribution | MATH 629 (Topics Applied Analysis), Spring-2019, UNR
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