About me

I'm a passionate Data Science enthusiast with a strong foundation in data analysis, machine learning, and full-stack development. Currently seeking opportunities as a Data Analyst intern or fresher position, I bring a unique combination of technical skills and a fresh perspective to data-driven problem-solving.

My academic background in Bachelor of Commerce with Computer Application, combined with my hands-on experience in data analysis and machine learning projects, has equipped me with a solid understanding of both business and technical aspects of data science. I'm particularly skilled in: • Data cleaning and preprocessing using Python and SQL • Creating interactive visualizations with Power BI and Tableau • Building predictive models using various ML algorithms • Developing full-stack applications with Python and Django

What i'm doing

  • insights

    Data Analysis & Business Intelligence

    Specializing in data cleaning, transformation, and analysis using Python (Pandas, NumPy) and SQL. Creating interactive Power BI dashboards for financial insights and business analytics. Experienced in data visualization and reporting.

  • psychology

    Machine Learning & Predictive Analytics

    Developing ML models using Scikit-learn, XGBoost, and Random Forest. Specializing in customer churn prediction, sales forecasting, and business analytics. Experienced in model evaluation and optimization.

  • translate

    Natural Language Processing

    Working on sentiment analysis and text processing using BERT and other transformer models. Experienced in tokenization, text classification, and building NLP pipelines for business applications.

  • biotech

    Data Science Projects

    Building end-to-end data science solutions using Python, SQL, and cloud technologies. Participating in Kaggle competitions and working on real-world projects to solve business problems through data-driven insights.

Technical Expertise

  • Programming Languages

    Python, JavaScript, HTML/CSS, SQL

  • Web Development

    React, Node.js, Express, MongoDB

  • Data Science

    NumPy, Pandas, Scikit-learn, TensorFlow

  • Tools & Technologies

    Git, Docker, AWS, Linux

Resume

Education

  1. University Institute of Technology

    2021 — 2024

    Bachelor of Commerce with Computer Application

Experience

  1. Data Science Intern

    Dec 2024 — Present

    Luminar Technolab, Kakkanad, Kerala • Performed data cleaning, transformation, and analysis on large datasets using Python (Pandas, NumPy) and SQL • Developed interactive Power BI/Tableau dashboards for financial and business insights • Built ML models for predictive analytics • Conducted NLP for sentiment analysis • Deployed machine learning models using Flask and AWS

  2. Python Full-Stack Development Intern

    Oct 2021 — Feb 2022

    TechnoValley Software India Pvt. Ltd., Ernakulam, Kerala • Developed a fully functional e-commerce platform using Django • Designed and optimized MySQL database • Improved website performance with server-side rendering

Download CV

Technical Skills

  • Programming Languages
    90%

    Python, C++, SQL (MySQL), JavaScript, HTML/CSS

  • Machine Learning & AI
    90%

    Scikit-learn, XGBoost, Random Forest, SVM, KNN, Decision Trees, Regression Models, TensorFlow, PyTorch, ANN, CNN, RNN, LSTMs, YOLO, OpenCV

  • NLP & GenAI
    80%

    Sentiment Analysis, Tokenization, Pre-trained Models, LLMs, Stable Diffusion, Transfer Learning

  • Data Visualization & Analytics
    85%

    Pandas, NumPy, Matplotlib, Seaborn, Power BI, Tableau

  • Cloud & Deployment
    80%

    AWS (EC2, S3, IAM), Flask, Docker, Git, GitHub

Portfolio

Sales Analysis Dashboard

Sales Analysis Dashboard

Data Analysis

Interactive Power BI dashboard analyzing sales trends, customer behavior, and product performance. Features include: • Sales forecasting using time series analysis • Customer segmentation with K-means clustering • Product performance metrics and recommendations • Regional analysis with geographic visualizations

Power BI SQL DAX Python
Customer Churn Prediction

Customer Churn Prediction

Machine Learning

ML model predicting customer churn using historical data. Features: • Feature engineering and selection • Model comparison (Random Forest, XGBoost) • Hyperparameter tuning with GridSearchCV • Model deployment on AWS with Flask API

Python Scikit-learn XGBoost AWS
Sentiment Analysis

Social Media Sentiment Analysis

NLP

Real-time sentiment analysis of social media posts. Features: • Text preprocessing and tokenization • BERT model fine-tuning • Real-time processing pipeline • Interactive sentiment visualization

Python Transformers PyTorch Streamlit
Object Detection

Real-time Object Detection

Machine Learning

YOLO-based object detection system. Features: • Real-time video processing • Multiple object detection • Performance optimization • Web interface with Flask

Python YOLO OpenCV Flask

Certificates &
Achievements

Data Science & Machine Learning

Luminar Technolab

2024

Data Science Certificate
  • Advanced Data Science & Machine Learning
  • Python Programming
  • Data Analysis & Visualization
  • Machine Learning Algorithms
  • Deep Learning & Neural Networks

Python Full Stack Development

TechnoValley Software

2022

Full Stack Certificate
  • Django Framework
  • MySQL Database
  • RESTful APIs
  • Frontend Development
  • Git Version Control

Online Certifications

HackerRank

Python Basic Certificate
Problem Solving Basic Certificate
  • Python (Basic) - Verified Certification
  • Problem Solving (Basic) - Verified Certification
  • Demonstrated proficiency in Python programming
  • Proven problem-solving and algorithmic skills
  • Completed coding challenges and assessments
Certificate Preview