NAGA VAISHNAVI
@nagavaishnavi
I build machine learning, analytics, and backend applications that turn data into actionable insights.
What I'm looking for
I've built data-driven products including ChurnLens, a telecom churn prediction platform trained on 7,043 customer records that achieved a 0.845 ROC-AUC and provides SHAP-based churn explanations through an interactive Streamlit app.
I also built GeoEstate, a FastAPI and PostgreSQL/PostGIS property intelligence platform serving 3,029 Hyderabad property records through REST APIs, geospatial enrichment, natural-language queries, and nearby-place scoring. For fraud detection, I designed an HBase lookup architecture for millisecond-level retrieval of recent card transactions and real-time risk scoring.
Alongside backend and machine learning work, I've created SQL-driven Power BI dashboards for customer analysis, solved 300+ data structures and algorithms problems, and led a team recognized among the Top 10 at the Smart India Hackathon college level.
Experience
Work history, roles, and key accomplishments
Data Science Undergraduate
Mahatma Gandhi Institute of Technology
Jan 2023 - Present (3 years 7 months)
Pursuing a B.Tech in Computer Science with a focus on Data Science, maintaining a CGPA of 8.73/10. Engaged in hands-on projects involving machine learning, data analytics, and backend development.
Education
Degrees, certifications, and relevant coursework
Mahatma Gandhi Institute of Technology (MGIT)
Bachelor of Technology, Computer Science / Data Science
2023 -
Grade: 8.73/10
Pursuing a B.Tech in Computer Science with a focus on Data Science, maintaining a CGPA of 8.73/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Social media
Job categories
Skills
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