
Pravalika Ravalkol
@pravalikaravalkol
I turn data into actionable insights through analytics, dashboards, and machine learning projects.
What I'm looking for
I've built data-driven projects spanning fake-news detection, customer churn, marketing conversion, and occupational stress analysis. My work combines Python, SQL, statistical analysis, and interactive BI dashboards to turn raw data into clear, actionable insights.
For FakeDetect, I developed and deployed a multimodal deep learning application using BERT, EfficientNetB0, PyTorch, and Streamlit. I combined NLP and computer vision models into a confidence-scored detection workflow and added Grad-CAM visualizations for explainability.
During my Infosys Springboard internship, I scraped and structured social-media comments, cleaned and validated the data in Excel, performed sentiment analysis in Python, and built a Power BI dashboard showing sentiment and engagement trends. With a strong Statistics background, I'm eager to contribute analytical thinking to data science and analytics work in a fast-paced global fintech environment.
Experience
Work history, roles, and key accomplishments
Data Visualization Intern
Infosys Springboard
Oct 2025 - Dec 2025 (2 months)
Collected unstructured social media data via web scraping and built a structured dataset. Cleaned and validated data, performed sentiment analysis in Python, and developed an interactive Power BI dashboard to visualize sentiment trends and engagement patterns.
Education
Degrees, certifications, and relevant coursework
Osmania University
Master of Science, Computer Science
2024 -
Grade: 8.2 CGPA
Pursuing a Master of Science in Computer Science with a CGPA of 8.2.
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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