Machine Learning Researcher and Hackathon Lead

PRACHI TAWAR

Machine Learning and Research Aspirant

*************@*****.*** 702-***-**** Bengaluru, India linkedin.com/in/prachi-tawar-4839222q9

SUMMARY

Machine Learning and Research Aspirant with hands-on experience in end-to-end ML pipelines, model deployment, and IoT-based system simulation. Experienced in applied ML research for healthcare and agriculture use cases, seeking a research-oriented internship focused on real-world AI/ML problems. WORK EXPERIENCE

Project/Role, Career Prediction System (End-to-End ML Deployment)

•Built an ML system to predict suitable career paths using student performance data.

•Implemented preprocessing, training, evaluation, and deployment pipeline.

•Deployed the model on Hugging Face using Gradio for user interaction. Project/Role, Agriculture Disease and Pest Detection System

•Developed a computer vision-based ML system for crop disease and pest identification.

•Integrated location-based recommendations using a knowledge-base retrieval approach.

•Designed deployment-ready architecture for scalable use. Online AI Assistant

•Built DELTA, a voice-controlled AI desktop assistant capable of understanding natural language commands and responding with human-like voice interaction.

•Implemented features such as app/file control, screen summarization using AI vision, and system automation through Python.

•Integrated Speech-to-Text, Text-to-Speech, and AI models to enable real-time conversational interactions.

•Designed a modular architecture with command routing, memory handling, and customizable assistant personality.

•Developed push-to-talk functionality using keyboard shortcuts for efficient and controlled voice activation.

•Utilized APIs and automation libraries to create a smart productivity and desktop assistance system. EDUCATION

Bachelor of Computer Applications, Acharya Bangalore B School, Bengaluru GPA: 8.87 /10

01/2026

Bengaluru, India

12th (PCMC), Schoenstatt St. Mary PU College, Bengaluru Percentage: 84%

01/2023

Bengaluru, India

TECHNICAL SKILLS

Programming

Python

Data Analysis

•Pandas, NumPy

•EDA, visualization (Matplotlib, Seaborn)

Platforms & Tools

GitHub, Kaggle, Google Colab (GPU)

Machine Learning

•Scikit-learn, TensorFlow

•model training & evaluation

Deployment

•Gradio, Streamlit, FastAPI, Flask

•Hugging Face

•Docker (basic)

IoT & Simulation

Wokwi, TinkerCAD

ADDITIONAL INFORMATION

English, Hindi, Kannada

ADDITIONAL INFORMATION

Hackathons/Competitions

Participated and Organized

hackathon

Activity

Conducted an orientation on ML

and IOT software stimulation

ADDITIONAL INFORMATION

Machine Learning Certification

- Rinex

Paper Presentation Certificate -

NCACSE 23

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