Summary
Overview
Work History
Education
Skills
Certification
Timeline
Volunteering
Projects
36

SUNNY

Bulandshahr

Summary

Summary

  • Programming Languages : Python, C, Java, SQL, HTML, CSS
  • ML & DL Frameworks : Scikit-learn, TensorFlow, Keras, PyTorch
  • Data Science & Analytics : Data Cleaning, Feature Engineering, EDA (Exploratory Data Analysis), Data Visualization, Statistics
  • Computer Vision & NLP : OpenCV, CNNs, RNNs, Transformers, NLP Techniques (Tokenization, Attention, Embeddings)
  • Generative AI : Prompt Engineering, LLMs, Fine-tuning, Text Generation
  • MLOps & Deployment : MLflow, AWS SageMaker, API Development, Model Deployment, Git/GitHub, Streamlit, Render
  • Cloud & Big Data Technologies : AWS, Microsoft Azure, Hadoop (basics), Kafka (basics)
    Other Tools : Power BI, Excel, Anaconda, Jupyter Notebook, VS Code, PyCharm

Overview

2
2
years of professional experience
1
1
Certification

Work History

Codec Technologies India

Machine Learning Intern (Internship)
06.2025 - 08.2025
  • Successfully completed ML projects under supervision, demonstrated outstanding skills and dedication throughout the assigned tasks and completed task with 90% Accuracy.
  • Skills: Machine Learning, Data Analysis, Python, Model Training & Evaluation

ACMEGRADE

Machine Learning Intern (Online)
04.2025 - 06.2025
  • Engineered ML models including a Cancer Prediction Model (90% accuracy) and Music Recommendation System (85% playlist accuracy), improving personalized insights.
  • Optimized datasets to reduce training time by 25% and enhanced deployment strategies, boosting evaluation consistency by 30%.


Skills: Machine Learning, Python, Model Development, Research & Implementation

NETCAMP SOLUTIONS PRIVATE LIMITED

Internship Training(Offline)
01.2024 - 03.2024
  • Completed and learned essential concepts in managing and maintaining computer networks (IP addressing, subnetting, routing, switching).
  • Gained practical knowledge of building and maintaining websites.
  • Understood network security principles, server setups, and
    administration.
  • Worked with web server and hosting concepts, basic backend understanding (PHP or similar). Website debugging and deployment practice.
  • Learned OOPs concepts: classes, objects, inheritance, polymorphism, encapsulation.
  • Worked with basic API integration and data handling, debugging and testing Android apps.



Skills: HTML, CSS, JavaScript, PHP, Java

Education

Bachelor of Technology - Data Science

Raj Kumar Goel Institute Of Technology
Ghaziabad, India
08-2027

Skills

  • Python
  • Machine Learning
  • C language
  • Java language
  • HTML , CSS , JavaScript
  • SQL

Certification

Machine Learning for Data Science – Codebasics

issue on : 20 Aug 2025 Certificate Link


Machine Learning Internship (1-month) Acmegrade

issue on : 08 May 2025 Certificate Link


ITS Engineering College (Hackathon) Certificate Link


DIHE College (Hackathon)

issue on : 25 April 2025 Certificate Link


Coder Clasher's 2.0 (3rd Rank) – RKGIT College

issue on : 29 December 2024 Certificate Link


Bootcamp on Big Data & Data Science

issue on : 23 May 2025


NexGen Hackathon(National Level)

issue on : 06 September 2025 Certificate Link

Timeline

Codec Technologies India

Machine Learning Intern (Internship)
06.2025 - 08.2025

ACMEGRADE

Machine Learning Intern (Online)
04.2025 - 06.2025

NETCAMP SOLUTIONS PRIVATE LIMITED

Internship Training(Offline)
01.2024 - 03.2024

Bachelor of Technology - Data Science

Raj Kumar Goel Institute Of Technology

Volunteering

NexGen Hackathon ( National Level )

Raj Kumar Goel Institute Of Technology Certification Link                                                                                          4th Sep - 6th Sep

  • Honoured to be part of NexGen Hack 2025, a 36-hour hackathon organized at Raj Kumar Goel Institute of Technology, Ghaziabad from 4th–6th September.
  • I am grateful to have received a certificate of appreciation for my dedicated service as a student volunteer. This experience gave me the opportunity to contribute with enthusiasm, teamwork, and commitment while being part of such an innovative and collaborative event.

Projects

Heart Disease Predictor – Machine Learning, Predictive Modeling  Project Link 


Tools: [Python, Pandas, NumPy, Scikit-learn, Matplotlib ] 


  • Users can input health details such as Age, Sex, Chest Pain Type, Blood Pressure, Cholesterol, Blood Sugar, ECG ,results, Exercise Angina.
  • The app predicts heart disease risk and provides visual insights. - Delivered probability percentages and easy‑to‑read charts.
  • There is also the recommendation of the best doctors for consulting to them .
  • And also you can download your report that will be generated after check.



Krishi AI - Agriculture Technology, AI/ML   Project Link 


Tools: [Python, Pandas, NumPy, Scikit-learn, Matplotlib, Streamlit]


  • Developed a smart farming system analyzing soil health to predict top 3 most profitable crops per season.
  • Delivered ROI charts and profitability analysis improving farmer decision-making by ~40%.
  • Enabled personalized recommendations that Boosted yield efficiency by up to 25%.


Real state Price Prediction , AI/ML  Project Link 


Tools: [ numpy, pandas , scikit-learn , flaskApi , util , html , css , javascript]


  • In just a few clicks, users can get an instant price estimate.
  • This project combines Machine Learning + Web App Development to make real estate insights more accessible.
  • There are some input parameters on the basis you can get the outcomes like Area , Bathrooms , BHK , Location.


Breed recoginition Application   Project Link 


Tools: [opencv, python, numpy, fastai, protobuf, aiohttp]


  • This application is based on the images of the cattle through which this identify the breed of the cattle .
  • This is very useful for farmers because the haven't much knowledge to identify the breed of the cattle .
  • For the on the basis of real images it's accuracy 92.3%
  • And it's aslo identify the unusual images .



SUNNY