Search
Celsia A.'s Photo

Statistics, Excel, SQL, Python and R tutor, data analytics MS
Celsia A.

0.0 (0 ratings)
Your first lesson is backed by our Good Fit Guarantee
Hourly Rate: $40
Contact Celsia
Response time: 1 hour

About Celsia

Bio

I hold a Master of Data Analytics from New Mexico State University (May 2026, GPA 3.57) and a Bachelor of Engineering in Electronics and Communication Engineering. My graduate coursework included Statistical Data Analytics (A), Statistical Analysis with R (A-), Python Programming (A), Business Analytics (A) and Data Visualization (A+), and I now work full time as an analyst in a university institutional research office, where I use Excel, SQL, Python and R every day on real student and...

I hold a Master of Data Analytics from New Mexico State University (May 2026, GPA 3.57) and a Bachelor of Engineering in Electronics and Communication Engineering. My graduate coursework included Statistical Data Analytics (A), Statistical Analysis with R (A-), Python Programming (A), Business Analytics (A) and Data Visualization (A+), and I now work full time as an analyst in a university institutional research office, where I use Excel, SQL, Python and R every day on real student and program data.

Teaching experience: I was a Teaching Assistant in Communication Studies at NMSU for the spring 2025 semester, managing the Canvas course site, assignments and grades for more than fifty students across three sections. In 2026 I was the first point of contact for over a hundred faculty and student researchers on a university computing cluster, and I wrote the written and video tutorials they learned the system from. I came into that role with no prior exposure and was the primary support contact within three months, so I know what it feels like to be new at something technical and how to get past it.

What I tutor: introductory and intermediate statistics (descriptive statistics, probability, hypothesis testing, t-tests, ANOVA, chi-square, correlation and regression), Excel from formulas through PivotTables and Power Query, SQL from SELECT through multi-table joins, and Python and R for data analysis. I am available weekday evenings and weekends, online.

Read more

Education

Anna University (Vel Tech Multi Tech)
ECE
New Mexico State University
Masters

Policies

Schedule

Loading...

Sun

Mon

Tue

Wed

Thu

Fri

Sat

Celsia hasn’t set a schedule.

We’re having trouble loading this schedule right now. Please try again later.

Approved Subjects

Biostatistics

Biostatistics

I hold a Master of Data Analytics from New Mexico State University (May 2026), with graduate coursework in Statistical Data Analytics, Statistical Analysis with R and Applied Machine Learning, and I now work as an analyst in institutional research at a health sciences university. My applied health statistics work includes a maternal and newborn health study in which I cleaned 1,236 records down to 1,150 valid observations after finding coded missing values, then ran Pearson correlation, linear regression, two-sample t-tests and one-way ANOVA with residual diagnostics. I have also used chi-square testing to compare outcome rates across groups. I help learners build real intuition for study design, randomization and control groups, sample size, hypothesis tests, confidence intervals, p-values and effect sizes, and I enjoy working through published papers together so you can read a results section and judge for yourself whether the conclusions hold up. Sessions can use R or Python where hands-on analysis helps.
Data Science

Data Science

I hold a Master of Data Analytics from New Mexico State University (May 2026), with graduate coursework in Applied Machine Learning, Data Mining, Python Programming, Statistical Data Analytics and Database Management Systems. I work in Python with pandas, NumPy and scikit-learn, along with SQL and R, and I now work as an analyst in institutional research. My project work includes comparing logistic regression and XGBoost classifiers on more than 40,000 cleaned records with a Streamlit interface, an Excel Power Query and Power Pivot model built from 32,672 records, and a Python k-nearest neighbors benchmark on 12.7 million records that cut runtime by 60 percent on a 16-core research computing cluster. As the primary support contact for more than 100 faculty and student researchers, I wrote the written and video tutorials they learned from, so I am used to explaining technical work to people at every level. I mentor learners through real projects: framing the question, cleaning and validating the data, choosing and evaluating models honestly, and presenting results clearly, so you build the judgment employers look for in a data science role.
Microsoft Excel

Microsoft Excel

I have used Excel at an advanced level for three years, and it is a core tool in my work as an analyst in institutional research. I hold a Master of Data Analytics from New Mexico State University, and I work daily with XLOOKUP, PivotTables, named ranges, Power Query for cleaning and combining data, and Power Pivot with DAX for relational data models. One of my projects was an analytics labor market model built from 32,672 records across 16 fields, with Power Query ETL and a Power Pivot model with DAX measures behind PivotTables and PivotCharts. Professionally, I have reconciled more than 6,000 employee records across three business systems before payroll and onboarding reporting. I teach Excel through realistic spreadsheets from your own work or course, starting from formulas and cleaning messy data and building up to dashboards and automated reports.
Python

Python

I hold a Master of Data Analytics from New Mexico State University, including graduate coursework in Python Programming and Applied Machine Learning, and I use Python with pandas, NumPy, and scikit-learn for data cleaning, analysis, and modeling. As a High-Performance Computing Intern at NMSU's Research Cores Office, I ran a Python k-nearest neighbors benchmark on 12.7 million records and cut runtime by 60 percent on a 16-core cluster. I also became the primary technical contact for more than 100 researchers and wrote the written and video training materials they learn from, so explaining code to people with no programming background is something I do regularly. My projects include a Flask and SQLite reporting application. I specialize in beginners and career changers from fields like healthcare, business, and finance. Lessons are hands-on with realistic datasets and move at your pace, from your first line of code to building your own analysis projects.
R

R

I hold a Master of Data Analytics from New Mexico State University, where I used R extensively in graduate coursework, including Statistical Analysis with R and Statistical Data Analytics. I work in R with the tidyverse, dplyr for data wrangling, and ggplot2 for visualization, and I have run applied analyses in R including one-way ANOVA, Kruskal-Wallis tests, Tukey HSD post-hoc comparisons, regression, and residual diagnostics. I now work as an analyst in institutional research, so I know how to take messy real-world data from import and cleaning all the way to a clear, defensible result. I am a great fit for students in statistics, research methods, or data science courses who need help with R assignments, as well as graduate students running analyses for a thesis, capstone, or DNP project. I explain both the code and the statistics behind it, so you understand what each result means and how to report it.
SQL

SQL

SQL is my strongest technical skill. I have used it for two years and now use it in my work as an analyst in institutional research. I hold a Master of Data Analytics from New Mexico State University, with graduate coursework in Database Management Systems I and II, where I built a relational database engine in Java from scratch, including a SQL parser, storage layer, index structures, and transaction concurrency control. In my university roles, I queried and reconciled student enrollment, retention, and demographic data across separate institutional systems, and I built a Flask and SQLite reporting application with parameterized queries and multi-table joins. I teach SQL from SELECT statements through joins, aggregation, subqueries, and window functions, with a strong focus on validating results so you can trust the numbers your queries return. Great for students, analysts preparing for technical interviews, and professionals moving into data roles.
Statistics

Statistics

I hold a Master of Data Analytics from New Mexico State University (2026), with graduate coursework in Statistical Data Analytics, Statistical Analysis with R, Data Mining, and Applied Machine Learning. I now work as an analyst in institutional research at a health sciences university, where statistics is part of my daily work. My applied experience includes regression, t-tests, one-way ANOVA with residual diagnostics, chi-square tests, and correlation analysis, including a maternal and newborn health study where I cleaned 1,236 records down to 1,150 valid observations before running the analysis. I also served as a graduate teaching assistant at NMSU and have written training materials for more than 100 researchers. In lessons, I focus on choosing the right test for your question, checking assumptions, and interpreting results in plain language, whether you are preparing for AP Statistics, a college course, or a thesis, capstone, or DNP project.
Celsia A.'s Photo

Questions? Contact Celsia before you book.

Still have questions?

Contact Celsia
Response time: 1 hour

Ratings and Reviews

Hourly Rate: $40
Response time: 1 hour
Contact Celsia