About Me
I am an aspiring Data Scientist currently pursuing a B.Sc. in Data Science, with a strong interest in analyzing data and extracting meaningful insights. I enjoy working with data, identifying patterns, and using analytical techniques to solve real-world problems.
I have a foundational understanding of statistics, Python, SQL, Excel, and data visualization, along with hands-on experience through academic and personal projects. I am a quick learner who enjoys continuous learning and staying updated with new tools and technologies in the data science field.
Academic Background
B.Sc. in Data Science
Expected Graduation: 2027
Currently developing a rigorous foundation in the end-to-end data lifecycle—from implementing predictive architectures in Machine Learning to processing unstructured information through Natural Language Processing.
Why Data Science?
I chose data science because it empowers me to transform raw data into actionable insights that drive smarter decisions. I enjoy analyzing data, identifying patterns, and solving real-world problems using statistics, programming, and machine learning. What excites me most is that data science has applications across every industry, allowing me to create measurable impact while continuously learning and adapting to new technologies. Additionally, I like how data science bridges business understanding and technical skills, enabling data-driven strategies. It gives me the opportunity to work on meaningful problems and contribute to innovation.
Skills & Expertise
Python: Data analysis, ML modeling, scripting
SQL: Querying, joins, data extraction
Excel: Reporting, pivot tables, analytics
Power BI: KPI dashboards, insights
Machine Learning: Regression, classification
Deep Learning: Neural network fundamentals
NLP: Text processing, classification, extraction
Tools & Libraries
Projects
Resume Parser (NLP)
Resume data extraction using Regular Expressions.
Emotion Classifier
Emotion detection using Logistic Regression.
Restaurant Review Classification
Restaurant review sentiment classification using Bag of Words and Naive Bayes
IMDB movie review classification
IMDB movie review classification using Bag of Words and TF-IDF for sentiment analysis.
Diabetes Prediction
Predictive modeling using Machine Learning to identify diabetes risk factors.
Weather Analytics Dashboard
KPI-driven Power BI insights.
Amazon Prime Dashboard
Amazon Prime Video content data summary.
Blinkit Sales Analysis
Power BI dashboard analyzing sales, items, and ratings.
Road Accident Analysis
Detailed visualization of casualty patterns and conditions.
Fashion Mnist using ANN
Images Classification of Fasion Mnist Dataset
ANN Housing Regression
Boston Housing Regression with Neural Network
Handwritten Digit Classifier
MNIST Handwritten Digit Image Classifier
Credit Card Customer Churn Prediction
Neural network predicts credit card churn.
Fake News Detection
A machine learning project using NLP to detect and classify fake news articles.
Diabetes Prediction
Developed a Machine Learning model to predict the likelihood of diabetes in patients based on medical diagnostic measurements. The project involves data preprocessing, exploratory data analysis (EDA), and training classification algorithms.
View on GitHubInternship
I worked as a Data Analysis Intern at Ideaz Marketing & Promotions. During the internship, I handled data cleaning, preprocessing, and basic analysis using Excel and Python. I assisted in identifying trends and patterns from datasets to support data-driven decision-making. I contributed to preparing reports and summaries for assigned tasks.
Download Internship LetterCareer Vision
My career vision in data science is to become a highly skilled professional who designs intelligent, scalable, and ethical data-driven solutions. I aim to work on complex, real-world problems using advanced analytics and machine learning to drive strategic decision-making. In the long term, I aspire to lead impactful data initiatives, contribute to innovation, and help organizations use data as a core asset for growth and transformation.
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