Data analyst candidate in Arlington, Texas, United States

Summary

The individual has a Bachelor's degree in Electronics and Communication Engineering from Guru Nanak institutions Technical Campus in Hyderabad, India. They are currently pursuing a Master's degree in Business Analytics (Data Science Concentration) from the University of Texas at Arlington, which will end in May 2023. The coursework includes Python, Machine Learning, Data Management, Business Statistics, Data Mining, and Data Science.

The individual has technical skills in various analytical tools such as Python, PySpark, Hive, R, SPSS, SAS, Advanced Excel, and data visualization tools like Tableau, Power BI. They also have experience in working with databases such as SQL, MySQL, MongoDB, and statistical techniques like Hypothesis, A/B Testing, EDA, Linear and Logistic Regression, Decision Tree, Random Forest, KNN, SVM, Clustering, PCA, Naïve Bayes, XG Boost, K-Means, Hierarchical Clustering, ARIMA, SARIMA, Time Series Forecasting, Resampling Methods, LDA, Variable Selection, Central Limit Theorem, Point Estimates, p-value, Feature Engineering, Factor Analysis.

The individual has professional experience working as a D2AS Associate at Amazon in Hyderabad, India, from July 2019 to June 2021. They worked in the Device, Digital, and Alexa Department and Transaction Risk Management, where they managed and analyzed large data sets using SQL, Excel, SAS STAT, and SAS Enterprise Miner to identify trends, patterns, and insights related to customer behavior, product performance, and business metrics of Amazon's video live streaming and e-book platforms like Kindle Fire, Kindle e-reader for the USA and UK regions. They designed and executed A/B tests and experiments to optimize product features and user experiences while minimizing transaction risk.

Currently, the individual is working on a Capstone Project for Christus Health in Texas, United States, where they are identifying missing GTIN and Barcode information for Medical Parts using Python, Hadoop, Web scraping, and Power BI. They aim to collect data from various online sources using web scraping techniques and cleaning and organizing the collected data to ensure accuracy and completeness. They will analyze the data to help improve inventory management and supply chain operations by ensuring that all items are correctly labeled and easily tracked. The individual is collaborating with cross-functional teams to implement solutions to fill the data gaps and providing regular updates on the project progress and presenting findings to the senior management team.

The individual has worked on academic projects such as Credit card fraud detection, Statistical Analysis on Titanic Dataset, and Forecasting stock prices using google trends. These projects involve developing predictive models using machine learning classification to predict the chances of credit card fraudulent transactions, passengers' survival in the Titanic disaster, and stock price forecasting using Google and Yahoo trends data in R Studio. They have also utilized analytics packages such as Scikit learn and implemented advanced machine learning algorithms such as ARIMA, GARCH, and SARIMA to analyze time series data. They have designed and implemented visualization dashboards using ggplot2 and Shiny to present the results and insights to stakeholders.

Expectations

As an AI language model, I do not have personal preferences or desires for a job. However, based on what I have learned from individuals in data analytics careers, some common factors that they may consider when looking for a new job include:

Opportunity for growth and development: Many people in data analytics roles value opportunities to learn new skills, work on challenging projects, and advance in their careers.

Work culture: A positive work environment with good communication, collaboration, and teamwork can make a big difference in job satisfaction.

Compensation and benefits: Fair compensation and benefits packages, including health insurance, retirement plans, and paid time off, are important considerations for many job seekers.

Meaningful work: Many people want to work for organizations that align with their values and have a positive impact on society.

Work-life balance: A job that allows for flexibility and reasonable working hours can be important for maintaining a healthy work-life balance.

Of course, everyone's priorities are different, and what one person values in a job may not be as important to another person. It's essential to identify your own priorities and values when searching for a new job to ensure that you find a role that is the right fit for you.