Turning data into insight, code into innovation, and keywords into clicks 🚀

I'm a Data Analyst who thrives on uncovering insights from data. With a strong foundation in statistics and data visualization, I help businesses make data-driven decisions.

As a SEO Specialist, I understand how search engines work and more importantly, how to make content rank. I’ve optimized websites, grown organic traffic, and built strategies around keyword research and performance analytics.

I love transforming data into insights, ideas into algorithms, and clicks into conversions. 🔍📈🤖

Connect with Me

Skills

Data Analysis

Python

Python

Powerful language for data cleaning, analysis, and visualization.

SQL

SQL

Query and manage databases efficiently to uncover patterns.

Excel

Excel

Analyze, visualize, and manipulate data with formulas and pivot tables.

SEO

Keyword Research

Keyword Research

Find high-impact keywords to boost organic visibility.

Content Writing

Content Writing

Create engaging and SEO-optimized content that ranks.

Google Analytics

Google Analytics

Track user behavior and improve site performance.

Projects

Sentiment Analysis

Sentiment Analysis

Implements sentiment analysis on tweets using NLTK for preprocessing, tokenization, and stemming, followed by feature extraction.It preprocesses textual data, extracts features, and applies machine learning models to classify sentiments as positive, negative, or neutral. A Naive Bayes classifier is trained on the processed data to classify tweets as positive or negative.

nltk transformers pandas
MCQs generator

MCQs Generator from Text

MCQ Generator from Text is a simple yet powerful application that allows users to automatically generate multiple choice questions (MCQs) from any given English paragraph. It uses natural language processing (NLP) techniques powered by spaCy to analyze the input text, identify key nouns, and construct fill-in-the-blank style questions with multiple choice options.

Spacy Streamlit
Image sizer

Image Compressor and Resizer

A simple, browser-based tool built using Streamlit that lets users upload, resize, and compress images converting them into WEBP format with ease. Designed with a clean, minimal dark theme, the app supports drag-and-drop functionality and handles large files up to 200MB.

Pillow Streamlit

Certifications

Data Science
Excel
Data
R
AI
SEO