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Data Science with 1+ years in Geospatial Data Science & AI/ML
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Geospatial Data Scientist & Full Stack Developer (1+ years) with expertise in AI/ML, remote sensing, and scalable REST Api, Cloud Native, Single Page Application. Experienced in building geospatial analytics platforms, thermal imagery pipelines, and real-time monitoring systems using Python, GIS tools, and cloud technologies. Designed and developed scalable full-stack applications using Python (FastAPI/Django) and ASP.NET Core, ensuring high performance and maintainability.
Lovely Professional University
M.Tech · AI & ML
August 1, 2024 – June 30, 2026
RD Engineering College
B.Tech · Computer Science Engineering
August 1, 2020 – June 30, 2024
St. Drona Public School
Intermediate
June 1, 2019 – May 31, 2019
St. Drona Public School
High School
June 1, 2017 – May 31, 2017
SatLeo Labs (ISRO / IN-SPACe Incubated)
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August 1, 2025 – Present
India
Ashweerah IT Services
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July 1, 2023 – June 1, 2024
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Automated Image Segmentation Using Deep Learning for Medical Images
IEEE NETCRYPT
January 1, 2025 – Present
Unveiling AI in Glaucoma: From Neural Networks to Clinical Adoption
IEEE ICONAT
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's diverse experience, ranging from full-stack development to specialized geospatial data science, indicates adaptability and a broad interest in technology. Their involvement with an ISRO-incubated company and academic publications suggests a drive for innovation and continuous learning, which aligns well with a research-oriented or fast-paced technical culture. The blend of academic rigor (M.Tech in AI & ML) and practical application (internship, full-stack role) points to a well-rounded individual capable of contributing to various aspects of a project lifecycle. The target role of Data Science is well-aligned with their current internship and master's degree focus.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project descriptions, particularly in developing complex data processing pipelines and real-time systems. Their experience in an ISRO-incubated lab suggests an ability to work in high-impact, technically demanding environments. The full-stack experience indicates a holistic approach to development, which can be beneficial for understanding system-wide implications in data science projects. However, without direct assessment data, specific soft skills like teamwork, leadership, or adaptability cannot be definitively evaluated.