VibhaKashyapH A

Data Scientist and Machine Learning Engineer in the making

Building with machine learning, deep learning, natural language processing and retrieval-augmented generation.

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Bengaluru, Karnataka, India - 560061

Portrait of Vibha Kashyap H A
RNS Institute of Technology logo

B.E. - CSE - Data Science

Professional summary

To obtain a challenging role as a Data Scientist or Machine Learning Engineer where I can apply my skills in machine learning, deep learning, natural language processing, and retrieval-augmented generation (RAG) to build scalable, data-driven solutions. Eager to contribute to an innovative organization by leveraging expertise in Python, predictive modeling, feature engineering, and AI development, while continuously advancing my knowledge in large language models and agentic AI systems to deliver measurable business impact.

Institutions and companies

Studied at
  • RNS Institute of Technology logoRNS Institute of Technology
  • Sadhana PU college
  • Maruthi Vidya Kendra
Interned at
  • Elewayte
  • Indian Institute of Science
  • Unleash Tech Worx
Certified by
  • MathWorks
  • Infosys Springboard
  • Microsoft

Key expertise

Nineteen skills across programming, machine learning, data and analytics.

Drag the sphere to turn it.

  • C
  • C++
  • Python
  • Machine Learning
  • Data Structures
  • SQL
  • MongoDB
  • Exploratory Data Analysis
  • Data Visualization
  • Power BI
  • Tableau
  • Business Analytics
  • Natural Language Processing
  • Large Language Models
  • Git
  • Feature Engineering
  • Artificial Neural Networks
  • Jupyter
  • PL SQL

Education

  1. 2022 – 2026
    RNS Institute of Technology logo

    RNS Institute of Technology

    B.E. - CSE - Data Science

    CGPA: 8.55 / 10

  2. 2022

    Sadhana PU college, Bengaluru

    12th, PUE Karnataka

    Percentage: 91 / 100

  3. 2020

    Maruthi Vidya Kendra

    10th, CBSE

    Percentage: 90 / 100

Internships

Elewayte

Others

Data Science intern

Developed a Hybrid Feature Optimized Model for Cyber Threat Identification focused on improving cyber threat detection accuracy and efficiency through optimized feature selection techniques. The project involved data preprocessing, feature engineering, cybersecurity dataset analysis, and implementation of intelligent detection approaches to identify malicious activities and potential threats.

Engineered a hybrid feature-optimized ML pipeline for cyber threat detection on the NSL-KDD dataset, applying RFE, Chi-Square, Mutual Information, and Feature Importance Ranking across LSTM, CNN, and XGBoost classifiers, achieving 93% detection accuracy while reducing feature dimensionality through multi-method selection.

Key skills
  • Machine learning
  • Data Science
  • Python
  • Scikit-Learn
  • Deep Learning
  • Neural Networks
  • pandas
  • NumPy
  • PL/SQL
  • Git
  • Exploratory data analysis
  • Feature engineering

Indian Institute of Science, Bangalore

Environmental Service

AIML intern

AI/ML Intern, Indian Institute of Science (IISc)

Contributing to the KC Valley Project, developing predictive models using AI/ML to assess surface and groundwater quality. Leveraging environmental data to enable data-driven water management and sustainable resource planning.

Built LSTM and CNN-based predictive models on time series environmental data to assess surface and groundwater quality for the KC Valley Project, achieving 95% model accuracy to support data-driven water management and sustainable resource planning.

Key skills
  • Artificial intelligence
  • Machine learning
  • Scikit-Learn
  • Data Science
  • Python
  • Pandas
  • Matplotlib
  • Git
  • GitHub
  • Excel

Unleash Tech Worx

Business analyst intern

Business Analyst Intern, Unleash Tech Worx

As a Business Analyst, focusing on cold marketing strategies to drive business growth and client engagement. Gained hands-on experience in market analysis, client outreach, and business development.

Executed cold marketing campaigns to drive client acquisition, analyzed business data to identify growth patterns, and reported actionable insights to stakeholders, contributing to informed business development and strategic decision-making.

Key skills
  • Business Analytics
  • HubSpot
  • Marketing
  • Microsoft Excel
  • Power BI
  • Tableau

Projects

AI powered banking system for loan assessment and transaction analysis

04 Jun, 2024 – 04 Jun, 2025

95%accuracy in risk classification
Mentor
Ms. Vidya Shirodkar
Team size
4

Developed an intelligent banking solution using Retrieval-Augmented Generation (RAG) and Agentic AI to automate loan assessment and analyze transaction patterns, enabling risk evaluation, fraud detection, and data-driven financial decision-making through AI-powered insights.

Engineered a RAG-based agentic AI system for automated loan assessment and transaction analysis, achieving 95% accuracy in risk classification and reducing manual review time.

Key skills
  • Artificial intelligence
  • Git
  • Machine learning
  • RAG
  • Scikit-Learn
  • pandas
  • NumPy
  • Data Visualization
  • Exploratory data analysis

Spam detection using machine learning

92%accuracy on the SMS Spam Collection
Mentor
Ms Vidya Shirodkar
Team size
3

Developed a deep learning-based spam detection system utilizing natural language processing (NLP) techniques and neural networks to accurately classify and filter unwanted messages, enhancing user experience and security.

Trained an LSTM-based deep learning model using NLP techniques on the SMS Spam Collection dataset (Kaggle) to classify spam messages, achieving 92% accuracy, demonstrating effective sequential text feature extraction for real-world message filtering.

Key skills
  • Machine Learning
  • Natural language processing
  • Artificial Neural Networks
  • scikit-learn
  • Matplotlib
  • pandas
  • seaborn
  • Microsoft Excel

Large language model

Developed AI Chatbot using Large Language Model API

Team size
1

Built a conversational AI chatbot integrating a large language model's API to provide intelligent responses and automate tasks.

Built a general-purpose conversational AI assistant integrating the Google Gemini API to handle open-ended user queries and automate responses, enabling intelligent, context-aware interactions across a broad range of topics.

Key skills
  • AI API
  • Large language models
  • Chatbot

Assessments and certifications

  • Machine Learning Onramp

    Provider: MathWorks

    Key skills
    • Machine Learning

  • Data Structures and Algorithms

    Provider: Infosys Springboard

    Key skills
    • Data structures and algorithms

  • Basics of Python

    Provider: Infosys Springboard

    Key skills
    • Python

  • Database and SQL

    Provider: Infosys Springboard

    Key skills
    • SQL

  • Computer Network and Internet Security

    Provider: Infosys Springboard

    Key skills
    • Computer networks

  • Founders Agent Explorer

    Provider: Microsoft

    Key skills
    • Agent-based Modeling
    • AI Agent building

Personal details

Gender
Female
Marital status
Single
Date of birth
02 Feb, 2004
Known languages
Kannada, English, Hindi
Current address
#104, Srivari Forest Breeze, Banashankari 5th Stage, Beside National Public School, Bharat Housing Society, Bengaluru, Karnataka, India - 560061
Phone number
+91-9686441505
Emails
1rn22cd116.vibhakashyapha@rnsit.ac.in
vibhakashyapha.datascience.2026@gmail.com

Personal interests and hobbies

  • Singing
  • Dance choreography
  • Playing piano
  • Photography

Web links

GitHub

github.com/vibha76

Let's build something with data.

I'm looking for a challenging role in data science or machine learning. Say hello, I'd love to hear about what you're building.

Email me Call +91-9686441505 View GitHub
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