Academic Record

Year Degree Institute % / CGPA
2026 B.TECH. (Computer Science) AKTU, LUCKNOW 77.7% or 7.77
2022 12th (CBSE Board) RLB Memorial School, Lucknow 80%
2020 10th (CBSE Board) DAV Public School, Lucknow 90%

Professional Experience

Parkinson's Disease Detection Model | iNeuron.ai
October 2024
Methodology
  • Data Analysis of the dataset of Parkinson's Disease Patients checking whether having or not having the disease.
  • Model could retrieve semantic insights out of the dataset and tell the confidence of disease's occurance.
  • Programmed the whole using tools like- Python, Scikit-Learn, Pandas and Numpy
Deliverable
  • Proposed this solution in video and jupyter notebook format to explain the working of the project.
Sentiment Text Analysis | Data Analysis
May 2024
Methodology
  • Performed Sentiment Analysis of Text using Python libraries DataClasses and TextBlob.
  • Categorized the text into Deci-Val Range categories like: 1 = Positive, Neutral, >0.5 = Positive and < 0 = Negative Emotions
  • Tools Used – Python, Jupyter Notebook, TextBlob, DataClass
Deliverable
  • Tells the nature of the emotions or intensity expressed in the text written by the user.
Breast Cancer Detection Model using Scikit-Learn | Data Analysis and Deep Learning
August 2024
Methodology
  • Collected historical data of Healthcare – Breast Cancer Diagnosis of bodies using Scikit-Learn Library.
  • Using this data found the correlation, similarities and pattern in the given set of Breast Cancer Patients.
  • Performed Regression to predict the occurrence probability of the breast cancer in the particular patient.
  • Plotted interactive analysis stories to show the trend and the pattern in the breast cancer patients in Jupyter.
Deliverable
  • Early Prediction of Breast Cancer in Patients led to early treatment and quick recovery in the patients.
floodSafeMyanmar - Flood Info and Alert System | Hackathon - ML & IoT
October 2024
Methodology
  • Analysed historical meteorological, rainfall, soil moisture and hyperlocal weather data (drone) and API data.
  • Performed Regression through all data from Datasets, API and IoT datas and predicted flood probability.
Deliverable
  • Sends alert to Government Bodies and Agencies to inform people to Evacuate.
Facial Emotion Detection utilizing DeepFace Library | Deep Learning
October 2024
Methodology
  • Analysed various emotions of the face to predict the exact emotion expressed in the image.
  • Obtained seven set of values categorized like: fear, happy, sad, disgust, surprise, anger and neutral.
Deliverable
  • Achieved parallel results and image deployment using streamlit and showing emotion results side-by-side.

Coursework and Skills

Academic Courses

Data Analytics | Data Analysis and Algorithms | Machine Learning Techniques | Probability and Statistics | Data Structures | Discrete Structures and Theory of Logic | Programming and Problem Solving | Web Development | Database Management System | Operating System | Technical Communication

Skills

Python (NumPy, Pandas, Scikit-learn, OpenCV, Matplotlib, Seaborn, Keras, Pytorch, TensorFlow) | C | SQL | Streamlit | Microsoft Excel | Deep Learning | Power BI

Online Courses

Machine Learning | Python Data Structure | Python and Data Handling Libraries | Deep Learning | SwiftUI | TypeScript | Git

Awards & Achievements

Co-Curriculum
• Got Appreciation for teaching students who needed extra attention through NGO "Robin Hood" 2024
• Won Second Prize in College Poetry Event | Tutored an ADHD Student needing Special Care 2023
• Awarded First Prize in UN Information Center for India and Bhutan Essay Competition 2020
State Level Under-19 Chess Player in Class 10th 2019
Position of Responsibility and Achievements
• Lead and Won 6 Global Level Hackathons winning a total of $1500 USD 2024
• Mentoring 450+ Students in GDG Club of our College – Specialisation AIML 2024
• Submitted 3 Joint Research Papers on Deep Learning with Academic Professors. 2024
House Captain of my School throughout the Intermediate Schooling 2020-22
Organized Science & Environment Event and anchored the whole event with enthusiasm 2019