Data Analyst

I have started my data analytic career after completing my BSS and MSS in Applied Economics. As a academic graduate, I have worked in numerous research projects of data analysis which inspired me to develop my skills to become a full stack data scientists. Because of strong empirical knowledge in mathematics, econometrics and statistics, I gradually improved my skills to analyze big data and creating complex statistical model as well as Machine Learning and deep learning models.
I have attained couple of international conferences of my academic domain and also published couple of research articles in different peer review journals.
Based on my expertise, I can provide the following services,
# Statistical Methodology formulation.
# OLS, ARDL, Variance Decomposition, ECM, Hypothesis testing.
# Logistic and polynomial model
Data Analytics and visualization:
# R Programming
# Python pandas, Sklearn, Seaborn, matplotlib.
# Data cleaning, data manipulation.
# missing value detection and handling.
# Outlier detection and removal.
# K Means Clustering, logistic model, Random Forest, Naive bayes, Decision Tree, SVM, K nearest neighbors, Principal component analysis, K fold cross validation, L1 and L2 regularization, Hyper parameter tuning.
# Social Media Network Analysis, Tidyverse, Causal Interferences, time series forecasting.

# Power BI, MySQL, Dashboard, business insights.

Above are the fundamental measures and tools that are heavily used in data analysis. If you have projects on the above mentioned topics or any types of data analytics then I will be the best fitted Data Analyst for your project.
If you provide clear requirements and necessary resources then I will provide the exact same output that you need. It will be a great pleasure, if you attain a zoom meeting to discuss your projects.

Happy Freelancing.