Data Analyst
USD 350000
January 9, 1999

About Candidate

Hope you’re keeping well.

I am writing to express my strong interest in the Associate Analyst role within your company. As an Electrical Engineering graduate with a certification in Data Science and Machine Learning, I am confident in my ability to contribute to your team’s efforts in data engineering.


My academic background has provided me with a strong foundation in mathematics and statistics, the coursework and personal projects have provided me with a solid foundation in programming languages such as Python and SQL. Through my certification program, I gained practical experience in data preprocessing, feature engineering, and building machine learning models. I have also worked on personal projects that have allowed me to gain hands-on experience in building machine learning models using popular frameworks like scikit-learn and TensorFlow. Additionally, my experience with circuit design and electronics has honed my attention to detail and problem-solving skills.


I am a fast learner and a hard worker, and I am committed to expanding my skills and knowledge in machine learning. I am excited about the opportunity to work with experienced professionals and learn from them, while also contributing to your team’s efforts.


Thank you for considering my application. I look forward to discussing my qualifications with you in more detail.




Bachelor of Technology

2017 - 2021
Electrical Engineering

Course Certificate

2021 - 2022
Data Science and Machine Learning

The course teaches the core ideas of Machine Learning, Data Science & AI that would help go for from a real world business problem to a first cut, working & deployable AI solution. The course covers:  Fundamental concepts of Mathematics such as Linear Algebra, Probability & Statistics.  To develop a strong understanding in Python which leads to Data Visualization.  The concepts of Natural Language Processing such as Data Cleaning, Tokenization, Vectorization & Model Deployment.  All types of Machine Learning concepts & their mathematical intuition such as Unsupervised Learning (i.e., Regression, Classification, Naïve Bayes, Random Forest, Neural Network, Support Vector Machine), Supervised Learning (i.e., Clustering, Dimensionality Reduction & Recommender Systems)  The concepts of Deep Learning & application using TensorFlow & Keras.


Grade 12

2016 - 2017
Computer Science

Grade 10

2014 - 2015
General Studies

Work & Experience


Data Analyst Intern

December 2, 2022 - February 3, 2023

To brief about the tasks, analyze data quality issues of datasets. It comprised of pointing out the existing discrepancies and suggesting ways to overcome those to prevent future hindrances in the analysis. It was required to convey all this information over the mail to the client.


Scikit - Learn
Object Oriented Programming
Machine Learning
Data Visualization
Data Analysis
Word Embedding
Data Cleaning
Data Preprocessing
Linear Algebra
Power BI
Advanced Excel