Noopur Singh
@noopursingh1
Data Scientist with a Strong Full-Stack Engineering Foundation.
What I'm looking for
I am a data scientist with over a year of hands-on experience in machine learning and data-driven application development, complemented by four years of full-stack software engineering. My journey has taken me through various sectors, including fintech, legal tech, environmental science, and industrial automation, where I have honed my skills in building and deploying predictive models.
My expertise lies in cleaning and integrating both structured and unstructured data, delivering actionable insights through modern visualization and reporting tools. I am passionate about solving complex business problems using innovative AI solutions, and I thrive in collaborative environments where I can contribute to impactful projects.
Experience
Work history, roles, and key accomplishments
Python Developer/Data Scientist
US EPA
Jul 2024 - Dec 2024 (5 months)
Led development of analytics pipelines for multistate environmental dashboards using Python, PostgreSQL, and JavaScript. Conducted exploratory data analysis on Census and environmental APIs, integrating structured and semi-structured datasets for insight generation and reporting.
Python Full Stack Developer/Data Scientist
Weitz & Luxenberg
Jul 2023 - Jul 2024 (1 year)
Designed and implemented an AI-powered legal research assistant using fine-tuned large language models (LLMs) with HuggingFace and OpenAI GPT APIs. Built full-stack architecture with Flask APIs, secure JWT-based ReactJS frontend, and CI/CD pipelines using Jenkins and GCP for scalable cloud deployment.
Full Stack Developer/Technical Lead
Honeywell International India Pvt. Ltd.
Apr 2021 - Oct 2022 (1 year 6 months)
Led a team of developers to build analytics dashboards and KPI tracking tools for remote monitoring of oil plant metrics. Designed component-based architecture in ReactJS and optimized backend data transfer using RESTful APIs.
C# Software Engineer
TransUnion CIBIL
Sep 2016 - May 2018 (1 year 8 months)
Built predictive analytics applications to identify anomalies and fraud using national identity databases. Automated data ingestion and reporting pipelines using SSIS and SSRS, reducing turnaround time for client reporting.
Education
Degrees, certifications, and relevant coursework
Harrisburg University
Master's in Analytics, Analytics
Pursuing advanced studies in data analytics, focusing on statistical modeling, data visualization, and predictive analysis. Gaining expertise in leveraging data to drive strategic business decisions.
Rutgers, The State University of New Jersey
Master's in Data Science, Data Science
Grade: 3.75/4.0
Completed a Master's program in Data Science, covering machine learning algorithms, statistical analysis, and big data technologies. Developed skills in data manipulation, model building, and deriving actionable insights.
IIIT-Bangalore
Post Graduate Diploma, Data Science
Obtained a Post Graduate Diploma in Data Science, focusing on foundational concepts of data analysis, machine learning, and data visualization. Gained practical experience in applying data science techniques to real-world problems.
Visvesvaraya Technological University
Bachelor of Engineering, Information Science
Studied core principles of Information Science, including software development, database management, and information systems. Developed a strong foundation in engineering methodologies and problem-solving.
Availability
Location
Authorized to work in
Job categories
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