
Aakriti Saxena
@aakritisaxena
Data Science Engineer building EV analytics, ML models, real-time data pipelines, and scalable backend systems using Python, SQL, Kafka & APIs.
What I'm looking for
I’m a Data Science Engineer at GreenCell Mobility, working on large-scale EV fleet analytics and intelligent mobility solutions. My work involves analyzing vehicle telemetry and operational data, developing ML-based predictive models, building automated analytics and monitoring systems, and creating dashboards and APIs that support fleet operations and decision-making.
I have hands-on experience with Python, SQL, machine learning, Django, REST APIs, MySQL, Kafka, Celery, Redis, and data pipelines. I’ve worked on real-time vehicle telemetry, CAN data ingestion, accident prediction, energy and battery analytics, driver-safety monitoring, and automated reporting systems.
Beyond data science, I’m actively expanding into backend engineering and distributed systems, with a strong interest in microservices, API gateways, Kafka, system design, and scalable backend architecture. I enjoy solving complex engineering problems and building production-oriented systems that have a measurable impact on real-world operations.
Experience
Work history, roles, and key accomplishments
Data Science Engineer
GreenCell Mobility Pvt. Ltd.
Aug 2025 - Present (1 year 1 month)
Design and deploy machine learning models for electric vehicle fleet management, including accident prediction, anomaly detection, and predictive maintenance systems. Lead development of an Accident Prediction Model and build real-time fleet analytics tools.
Data Science Intern
GreenCell Mobility Pvt. Ltd.
Feb 2025 - Jul 2025 (5 months)
Developed real-time fleet analytics tools using Django, Plotly, Leaflet, and REST APIs to monitor state of charge, temperature, voltage, and energy consumption across 500+ electric buses. Engineered a machine learning-based Accident Prediction Model and automated KPI monitoring pipelines.
Software Development Engineer Intern
Queue Protocol
Jul 2024 - Sep 2024 (2 months)
Built responsive, production-grade web applications using React.js, Redux, JavaScript, HTML5, and CSS3, improving page-load performance by 20%. Integrated RESTful APIs with frontend applications and contributed to backend bug fixes and unit testing using Jest.
Education
Degrees, certifications, and relevant coursework
University School of Information, Communication and Technology (GGSIPU)
Bachelor of Technology, Information Technology
Grade: 8.44 / 10.0
Activities and societies: Relevant Coursework: Data Structures and Algorithms (C++), Database Management Systems, Operating Systems, Object-Oriented Programming, Computer Networks, Software Engineering, Artificial Intelligence, Machine Learning
Bachelor of Technology in Information Technology with a minor specialization in Machine Learning and Artificial Intelligence, achieving a GPA of 8.44 out of 10.0.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/aakriti1204Social media
Job categories
Skills
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