HAMAD HAQ
Bis 2020, Data Analyst Intern, ANZ
Islamabad, Pakistan
Über mich
Innovative Deep Learning Engineer/ Machine Learning Engineer possessing strong mathematical skills and detailed knowledge of machine learning evaluation metrics and best practices. Offering 2+ years of experience creating programs and algorithms to enable machines to take actions without being directed. Expertise in classification, predictive analysis, etc. Logical and detailed professional with exceptional Python coding and typed high-level API skills such as TensorFlow, Keras, mxnet, and mmdetection. Dedicated and detail-oriented professional looking to apply my foundational knowledge and build upon my skills in a dynamic fast-paced environment to fulfill my incessant desire for lifelong learning and where I can contribute to team successes and develop management skills to evolve into an executive career.
Werdegang
Berufserfahrung von HAMAD HAQ
Bis heute 2 Jahre und 6 Monate, seit Jan. 2022
Data Engineer
Darvis
1. Create reports which drive the product roadmap. Design, built, and maintain data pipelines from an internal and external source systems. 2. Create metrics and reports which are used by managers. Preprocessing of the data for annotations and for the Deep Learning / Machine Learning team. 3. Automate the report generation and file management workflow.
5 Monate, Juli 2020 - Nov. 2020
Data Annotator
KeepTruckIn
1. Annotation of Images or Videos 2. Create reports having tasks related insights
2 Monate, Sep. 2020 - Okt. 2020
Data Analyst Intern
Quantium
1. Conduct an analysis of the client's transaction dataset and identify customer purchasing behaviors to generate insights and provide commercial recommendations. 2. Identify benchmark stores that allow you to test the impact of the trial store layouts on customer sales. 3. Use analytics and insights to prepare a report for clients, the Category Manager.
2 Monate, Aug. 2020 - Sep. 2020
Data Analyst Intern
ANZ
1. Segment the dataset and draw unique insights, including visualization of the transaction volume and assessing the effect of any outliers. 2. Explore correlations between customer attributes, and build a machine learning-based prediction model based on your findings.
Ausbildung von HAMAD HAQ
4 Jahre und 5 Monate, Sep. 2017 - Jan. 2022
Electrical Electronics Engineering
COMSATS Institute of Information Technology (CIIT), Islamabad
Sprachen
Englisch
Fließend