I am a results-oriented professional with proven ability to exceed targets and achieve success in dynamic environments. I combine strategic thinking with practical experience to provide impactful solutions and enhance organizational performance. I have hands-on experience in developing AI and machine learning solutions, including NLP applications for industrial use and financial stock price prediction models. I enjoy learning new technologies and applying them to solve real-world problems effectively.…

Priyanka Chikkakadirapppa Narmakalahalli

I am a results-oriented professional with proven ability to exceed targets and achieve success in dynamic environments. I combine strategic thinking with practical experience to provide impactful solutions and enhance organizational performance. I have hands-on experience in developing AI and machine learning solutions, including NLP applications for industrial use and financial stock price prediction models. I enjoy learning new technologies and applying them to solve real-world problems effectively.…

Available to hire

I am a results-oriented professional with proven ability to exceed targets and achieve success in dynamic environments. I combine strategic thinking with practical experience to provide impactful solutions and enhance organizational performance. I have hands-on experience in developing AI and machine learning solutions, including NLP applications for industrial use and financial stock price prediction models. I enjoy learning new technologies and applying them to solve real-world problems effectively.

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Skills

Experience Level

Python
Expert
Microsoft Office
Expert
Data Visualization
Intermediate
TensorFlow
Intermediate
GitHub
Intermediate
Docker
Intermediate
PostgreSQL
Intermediate

Language

Italian
Beginner
English
Fluent

Work Experience

Artificial Intelligence engineer (Tirocinio esterno) at MTM Project
April 4, 2024 - July 25, 2025
Developed an NLP solution based on artificial intelligence to extract structured data from machine manuals in PDF format. Utilized PyMuPDF for text extraction, Universal Sentence Encoder (USE) and KNN for process identification, Wikifier API and BERT for entity recognition, and GPT-3.5 for step-by-step activity extraction. Improved problem resolution accuracy, maintenance efficiency, and document retrieval in industrial applications.

Education

Laurea Magistrale at Università degli Studi di Bari Aldo Moro
January 11, 2030 - July 25, 2025
Laurea at Reva University
January 11, 2030 - July 25, 2025

Qualifications

SQL For Data Science
January 11, 2030 - July 25, 2025

Industry Experience

Software & Internet, Manufacturing, Financial Services, Professional Services
    paper Stock Price Prediction( Machine Learning)

    Linear regression and K-Nearest Neighbors algorithms were used in a stock price prediction model, with linear regression showing higher confidence levels than KNN.
    Publication: The study’s findings have been added to the body of knowledge on financial forecasting through publication in the Scopus-indexed journal IJEAT. (Link: https://www.twine.net/signin