Aatif AnnanAA
Open to opportunities

Aatif Annan

@aatifannan

Software Engineer with 1.5+ years of experience in Software Development and Data Science.

India
Message

I am a Software Engineer with over 1.5+ years of experience, specializing in Software Development and Data Science. Throughout my career, I have consistently delivered high-quality results and demonstrated a strong understanding of data structures, algorithms, and object-oriented programming.

During my time at Honeywell, I designed and developed backend systems for web applications, optimizing them for increased performance and reliability. I also played a key role in designing and maintaining core databases, including Postgres and MongoDB. Additionally, I implemented and maintained APIs to facilitate seamless communication between frontend and backend systems. I am well-versed in a range of technologies, including Python, Java, Spring Boot, Django, and machine learning frameworks.

As an Artificial Intelligence Intern at Honeywell, I conducted exploratory data analysis on the Indian Premier League dataset to identify successful teams, players, and factors contributing to wins or losses. I also worked on projects related to cardiovascular disease detection, diabetes detection, and chronic kidney disease detection using machine learning techniques. I have a Bachelor's degree in Computer Science and Engineering from Manipal Institute of Technology.

Experience

Honeywell logoHO

Software Engineer 1

Honeywell

Aug 2022 - Jun 2023 (10 months)

Designed and developed backend systems for web applications, optimized backend systems written in Python, designed and maintained core databases including Postgres and MongoDB, implemented and maintained APIs, and worked closely with cross-functional teams to deliver timely and accurate updates.

Honeywell logoHO

Artificial Intelligence Intern

Honeywell

Feb 2022 - Aug 2022 (6 months)

Conducted exploratory data analysis on the IPL dataset to find out the most successful teams, players, and factors contributing to win or loss of the team for future investment in teams and players for sponsorships. Initiated with Data Collection, Preprocessing, Feature Extraction, and Model Training.

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