About

An enthusiastic and detail-oriented aspiring Data Analyst with a background in Electronics and Telecommunication Engineering and hands-on experience in data analysis, Python, SQL, machine learning, and data visualization. Interested in transforming raw data into meaningful insights to solve business problems and support data-driven decision-making.

Projects2

• Surfactant Performance Capability Analysis and Process Modelling

  Collected, cleaned, and preprocessed datasets; performed Exploratory Data Analysis (EDA) and feature engineering to identify patterns and improve data quality. Developed and implemented machine learning models for classification and prediction using Python, Pandas, NumPy, and Scikit-learn.

  • Statistical Analysis
  • CMC Determination
  • Control Charts
  • Regression Analysis
  • Process Modelling
  • Data Visualization
  • Excel

• Crop Yield Prediction Using Machine Learning and Big Data Technologies · Machine Learning Developer

  Developed a machine learning-based crop yield prediction system using agricultural data. Conducted data preprocessing, exploratory data analysis, and model training to predict crop yield and evaluate model performance using standard regression metrics.

  • Python
  • Pandas
  • Numpy
  • PySpark
  • Apache Kafka
  • Machine Learning
  • Google Colab
  • Streamlit

Education2

• VI

  Bachelor of Engineering

  2023 — 2027

  Vidyalankar Institute of Technology

  Electronics and Telecommunication

• KM

  Higher Secondary School

  2021 — 2023

  K. M. Agarwal College

  Science with Computer Science

Certifications3

• Data Analytics Job Simulation

  Deloitte

• Networking Basics

  Cisco Networking Academy

• Excel Basics for Data Analysis

  Coursera