Neha Prajapati
@nehaprajapati1
I build data pipelines, machine learning models, and actionable analytics dashboards.
What I'm looking for
I've built machine learning and analytics projects including a phishing website detector using XGBoost with 96.6% accuracy and DermaSense AI, a CNN-based skin diagnosis tool trained on the HAM10000 dataset.
During my AI/ML internship at Sparks to Ideas, I developed end-to-end data pipelines for ingestion, preprocessing, feature engineering, and model evaluation, and created clear visualizations for non-technical stakeholders.
I'm a published Data Science B.E. graduate seeking an entry-level Data Analyst or Data Engineer role, bringing Python, SQL, ETL, Power BI, and deployment experience with Flask and FastAPI.
Experience
Work history, roles, and key accomplishments
AI/ML Intern
Sparks to Ideas
Feb 2025 - Mar 2025 (1 month)
Built and evaluated supervised and unsupervised ML models on real-world datasets achieving 85%+ accuracy. Developed end-to-end data pipelines covering ingestion, preprocessing, feature engineering, and evaluation.
Education
Degrees, certifications, and relevant coursework
Lokmanya Tilak College of Engineering
Bachelor of Engineering, Computer Science Engineering (Data Science)
2022 -
Grade: 8.0/10 CGPA
Pursuing a Bachelor of Engineering in Computer Science Engineering with a focus on Data Science, achieving a CGPA of 8.0/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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