Neha Jaiswal

B.Tech CSE Student at Lovely Professional University | Data Science Minor | Passionate About AI, Machine Learning & Real-World Problem Solving · Punjab, India

I'm a B.Tech Computer Science Engineering student with a minor in Data Science at Lovely Professional University. I have a strong interest in Data Science, AI, Machine Learning, and Software Development. I’ve completed an AICTE internship in AI/ML using CNN and enjoy building solutions that combine data, logic, and creativity. I've worked on projects involving plant disease classification using CNN, data analysis in Python, and dashboard creation in Excel. I'm constantly looking to improve my skills through hands-on experience, online courses, and collaboration. I’m open to internship opportunities and collaborative projects in Data Science, AI/ML, and Software Development to apply my knowledge and grow professionally. Technical Skills: C, C++, Java, Python, MySQL, Advanced Excel, Data Structures & Algorithms, Machine Learning (Python), CNN, Data Analysis

Experience

AI Annotator

Deccan AI · Dec 2025 – Present

Not yet confirmed

• Worked as an AI Annotator at Deccan AI, where I evaluated and compared responses generated by large language models (LLMs) to improve their performance and accuracy.
• My role involved assessing multiple model outputs based on defined evaluation rubrics such as groundedness, instruction following, and truthfulness.
• I analyzed whether responses were factually correct, relevant to the prompt, and aligned with user intent.
• I identified issues like hallucinations, incomplete answers, and deviations from instructions, and provided structured feedback to enhance model reliability.
• This process directly contributed to refining training datasets and improving the overall quality of AI systems.
• Through this experience, I developed strong analytical skills, attention to detail, and a deep understanding of how human feedback is used to train and optimize AI models.

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Data Analyst

ELEVATE LABS · Jun 2025 – Jul 2025

Not yet confirmed

• I am currently working as a Data Analyst Intern at Elevate Labs, a Skill India and MSME-recognized organization.
• This internship is focused on enhancing practical skills in the field of data analytics.
• During this internship, I have been working on real-world data projects involving data cleaning, preprocessing, analysis, and visualization.
• I have actively used tools and technologies such as Python, SQL, Excel, and Tableau to perform various data-driven tasks — from querying structured data and creating dynamic reports, to designing interactive dashboards that provide meaningful insights.
• This hands-on experience has improved my understanding of how to handle large datasets, draw actionable conclusions, and present them effectively for business decision-making.

Data science and Analytics

Zidio Development · Jun 2025 – Jul 2025

Not yet confirmed

• Gained hands-on experience in the complete data science lifecycle, from data collection and cleaning to building predictive models and creating impactful visualisations.
• Developed a key project performing time series analysis on TCS stock data (2020-2025) using Python libraries (Pandas, Matplotlib, Seaborn) to analyze trends, volatility, and performance.
• Successfully completed both the internship program and a training program in Data Science & Analytics.

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Python Programming

VaultofCodes · Jun 2025 – Jun 2025

Not yet confirmed

• Currently undergoing a one-month remote internship focused on Python programming.
• Working on real-world projects to enhance practical skills in coding, problem-solving, and professional development.

Artificial Intelligence and Data Analytics Intern

Edunet Foundation · Apr 2025 – May 2025

Not yet confirmed

• Completed an AICTE internship via Edunet Foundation focused on AI/ML, specializing in CNNs.
• Leveraged Google Colab to preprocess data, build, train, and optimize deep learning models for image classification.
• Enhanced my Python programming and AI expertise while gaining practical experience in real-world CNN applications.