welcome to my corner on the internet.
As a statistics student, I am actively charting a course towards a career in fields such as Data Science, Data Analysis, and Machine Learning. I am currently enrolled in a Master's program at the Department of Statistics, Savitribai Phule Pune University. I previously interned as a research intern at the Centre for Development of Advanced Computing (C-DAC), Pune. During my internship, I worked at the Medical and Bioinformatics Application group on developing an adaptive sampling technique to ensure the conformational exploration of biological systems. My responsibilities included regularly communicating with researchers, collaborating across teams, and presenting findings and challenges to all involved parties.
Here we considered the method of maximum likelihood estimation to estimate the parameters by graphical way, understanding the concept of consistency of estimators and visualizing it, estimation of parameters using simulated data and understanding the accuracy of the estimation with increasing sample size, etc.
Data cleaning is crucial in data analysis to ensure accuracy and reliability. It removes errors, inconsistencies and enhance data quality. Clean data facilitates meaningful insights, robust decision-making, and trustworthy results, ultimately optimizing organizational performance and efficiency. This Project contains Data Cleaning Process of Housing Trade Data.
In my COVID data exploration project using SQL, I delved into diverse datasets to analyze pandemic trends. Employing SQL queries, I unearthed valuable insights on infection rates, geographical hotspots, and demographic patterns.
This project contains analysis of bike sales data using MS-Excel. Visualization is done by using Pivot Tables and Charts. Dashboard gives insights from the data for furthur working.