Sualeh Qureshi
About Sualeh Qureshi
Sualeh Qureshi is a Software Engineer specializing in Machine Learning at TomTom, with prior experience as a Data Engineer at HERE Technologies.
Title and Current Role
Sualeh Qureshi is a Software Engineer with a specialization in Machine Learning. He is currently employed at TomTom in Pune, Maharashtra, India. His tenure at TomTom started in 2019, where he applies his expertise in software engineering and machine learning to contribute to the company's technology and service offerings.
Previous Employment
Prior to his current role, Sualeh worked at HERE Technologies as a Data Engineer from 2017 to 2019 in the Mumbai Area, India. During his time at HERE Technologies, he developed and maintained data pipelines, utilizing his skills in data engineering to support complex data transformations and analytics tasks.
Education and Academic Background
Sualeh Qureshi graduated from Pillai College of Engineering with a Bachelor of Engineering (BE) in Electronics Engineering. His academic journey, which spanned from 1970 to 2017, equipped him with foundational and advanced knowledge in electronics and related fields, ultimately paving the way for his career in software engineering and machine learning.
Skills in Data Engineering and Machine Learning
Sualeh possesses comprehensive skills in data engineering and machine learning. He is proficient with ETL tools such as Pentaho, Talend, and Open Refine for transforming and loading data into data warehouses. His expertise extends to data visualization and business analytics, employing tools like Tableau, Python, and Power BI (DAX). Sualeh is experienced in building both supervised and unsupervised machine learning models using Python, and adept at handling large datasets from various sources like APIs, relational databases, and web scraping.
Data Modeling and Analytics Expertise
Sualeh has a strong background in data modeling and analytics. He effectively leverages databases such as Impala, Hive, SQL Server, PostGres SQL, and MySQL to perform complex data modeling and analytical tasks. His proficiency in these areas enables him to handle, process, and analyze large volumes of data, contributing to strategic business insights and decision-making.