Aafiya Umar

Software Engineer

Bengaluru, Karnataka, India6 yrs experience

Highly StableAI Enabled

Key Highlights

Expert in AI and Machine Learning technologies.
Strong communication skills facilitating team collaboration.
Proven track record in developing impactful data-driven products.

Stackforce AI infers this person is a Data Science and AI specialist with a focus on analytics-driven product development.

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Skills

Core Skills

Artificial Intelligence (ai)Machine LearningData ScienceData Analysis

Other Skills

Analytical SkillsC++CommunicationData MiningData StructuresDatabase Management System (DBMS)JavaKerasNatural Language ProcessingNeural NetworksPandasProblem SolvingPublic SpeakingPythonR

About

Working as an Application Engineer in Google. I’m passionate about building products that are empowered by state of the art technology. My biggest assets are my ability to communicate with people and driving an idea to execution in a fast but scalable way.

Experience

Google

Application Engineer

Aug 2024 – Present · 1 yr 7 mos · Bengaluru, Karnataka, India · Hybrid

PythonJavaC++Data AnalysisRTeam Leadership+15

Paypal

Software Development Engineer

Mar 2024 – Jul 2024 · 4 mos · Bangalore Urban, Karnataka, India

Cadence design systems

2 roles

Software Development Engineer 2

Promoted

Oct 2020 – Jan 2023 · 2 yrs 3 mos · Bengaluru, Karnataka

Software Development Engineer

Jun 2019 – Sep 2020 · 1 yr 3 mos · Bengaluru, Karnataka

Deloitte

Intern

Jan 2019 – May 2019 · 4 mos · Bengaluru, Karnataka

Develop algorithms to discover data insights around TV viewership using Programming, Statistics, and Machine Learning techniques like classification and clustering
Support product teams to enable data science capabilities as features

Bridgei2i analytics solutions

Intern

May 2017 – Nov 2017 · 6 mos · Bangalore

Worked on a product called as ExTrack – with the use Topic Modelling, Sentiment Scoring, Natural Language Processing and Key Finder Analysis built an AI related proprietary platform that provides 360 degree insights on customer experience metrics analyzing quantitative and unstructured information from multiple customer touch points.
Gained an overall experience in Topic Modelling, Natural Language Processing, Text Analytics, Data Mining & customer end product oriented concepts

Point perfect transcription & technology services

Summer Intern

May 2016 – Jun 2016 · 1 mo · Coimbatore Area, India

Developed a project TorQEYE using Sentiment Analysis, Time Series and RFM Analysis. It is a forum for determining the public response on a new product release, predict the future occurrence and to target profitable customers.
The end product was used to customize and predict the necessary attributes to maximize the business with 3X profits