Machine Learning Data Analyst

* * * * *

Nazir Ahmed

Houston, Texas EMAIL: *****.*****@***.***.***

USA EMAIL: **********.***@*****.***

CONTACT (mobile): 206-***-****

LINKEDIN: https://www.linkedin.com/in/nazir-ahmed/

CAREER OVERVIEW

A motivated Data Analyst with skills in Business Statistics, Machine Learning (Supervised) Foundations, and Classifications, Machine Learning Ensemble Techniques, Machine Learning Model Tuning, and Unsupervised Machine Learning. Also, hand on experience in Microsoft Power Platform, AWS Cloud Practitioner, Data Science, Business Analytics, and Biostatistics.

EDUCATION

Master of Business Administration (MBA). Graduated August 2017 The New Mexico State University at 1780 E University Ave, Las Cruces, Graduate College of Business, New Mexico 88003

Major: Business Administration; Concentration: Management, Finance, Marketing

MBA Project: The project title was “Eye in the Sky.” It was a project to create a Business Plan

GPA: 3.5/4.0

Bachelor of Information and Communication Technology (BICT) Graduated May 2013 The New Mexico State University at 1780 E University Ave, Las Cruces, College of Engineering, New Mexico 88003

Major: Information & Comm Technology; Concentration: Information Science, Database Management

BICT Project: Building and maintaining a complete website from scratch

GPA: 3.8/4.0

Associate of Applied Science (AAS). Graduated May 2010 Oklahoma City Community College, 7777 South May Ave, Oklahoma City, OK - 73159.

Major: Database Management; Concentration: MS Office (Word, PowerPoint, Access, Excel etc.), and SQL

Python

PROFESSIONAL CERTIFICATIONS

2 P a g e

1. Data Science Analytics Certification program From 08 – 2024 to Present University of Texas, Houston, Texas.

Introduction to Biostatistics in Public Health

Probability, Linear regression, Hypothesis testing etc.

2. Post Graduate Program – Data Science and Business Analytics From 08 – 2024 to 04 – 2025.

University of Texas, and TEXAS McCombs, Austin, Texas.

Python for data Science, Data Visualization with Python Exploratory data analysis (EDA), Linear

regression, Logistic Regression, Decision Trees,

Ensemble Methods (Boosting, Random Forest,

GBM, XGBM, adaboost), tuning.

Machine Learning (Supervised and Unsupervised) business analytics presentation. 3. Microsoft Power Platform Fundamentals Certification (Issue date: November 06, 2022)

Validation Number: I476-1281.

Generation USA Data Analyst Program (Hands-on experience with Power BI)

(Completion date: June 2022)

4. AWS Certified Cloud Practitioner AWS

Training and Certification (Issue date: March 25, 2022) Validation Number: 5MWMLG7B3BREQZWD.

TECHNICAL SKILLS

Machine Learning: Unsupervised Learning (K-means and Hierarchical clustering)

Machine Learning: Supervised Learning (Classification, Decision Tree Models)

Machine Learning: Supervised Learning (Foundations, Model Building/Test/Final)

Machine Learning: Model Tuning (Hyper and Trainable Parameters, Final-Model)

Ensemble Techniques: (Model Building/Train/Test/Tune/Classifier/Final)

Biostatistical data analysis using, linear regression, logistic regression, descriptive analysis hypothesis testing, exploratory analyses, and mode building.

Data Analytics, Business Analytics, Data Mining, Statistical Analysis

Microsoft Office, Microsoft Power BI, AWS, Python, SQL

Notebook: Jupitar notebook, Google Colab

3 P a g e

WORK EXPERIENCE:

DATA ANALYST

June, 2022 Present

Freelancer

Biostatistical data analysis using linear regression, logistic regression,

descriptive analysis hypothesis testing, exploratory analyses, and model

building.

Machine Learning Unsupervised, Supervised, Model Tuning, and Final model.

Power BI and MS Office Data Cleansing, Analysis, Reporting, Visualization, Dashboard creation, Interactive dashboards to visualize data.

Data analysis: Identify patterns and trends in data

Report creation and summarize critical findings in a visually appealing way

Data integration combines multiple data sources

AWS for data analysis and Visualization.

DATA ANALYST

March 2022 – June 2022

Generation USA, Data Analyst (Hands-on experience with Power BI), Washington, DC, USA

Hands-on training participant was completed in Data Analysis using Power BI, PostgreSQL, MS SQL Server 2019, Data Reports, ETL, Data Visualization, and Interactive Dashboard

Conducted a 12-week, 350+ hour Data Analyst program that emphasizes hands-on practical applications

Focused on fundamentals of data pipelines, data analysis, data visualization, and effective communication of data trends and insights DEVOPS ENGINEER

September 2021 to December

2021 DevOps Engineer (AWS

Intern)

Belle Fleur Technologies, 2200 N. Commerce

Pkwy #200 Weston, FL 33326

Conducted Data Analytics, Cloud Economics, and Well-Architected Best Practices. Worked forty-plus hours per week and was paid weekly

Completed a data analytics project, “New York City Accident Analytics Report” and prepared an interactive dashboard using AWS QuickSight

Attended project meetings with clients regarding project

Develop technical expertise and learn from industry experts by shadowing 4 P a g e

Belle Fleur AWS- Certified professionals while working with clients

Use AWS DataBrew, AWS Glue, AWS Athena, and AWS QuickSight to analyze the provided datasets

Assist with administrative duties with AWS Well-Architected Reviews DATA ANALYST

March 2021- June 2021

Generation USA, Data Analyst (Hands-on

experience with AWS) Washington, DC, USA.

Conducted a 12-week, 350+ hour Junior Cloud Practitioner Program that emphasizes hands- on practical applications

Focused on Cloud Computing, Cloud Concepts, Technology, Security, Billing, data visualization, effective communication, Linux, GitHub, DevOps, Python, and Well-Architected best practices

Contact this candidate