Hi there,
I'm Pranam
Data science student|
Passionate about data science and AI, I focus on building a strong foundation in programming, analytics,
and problem-solving.
About Me
A little bit about who I am, where I've been, and what drives me.
I am a BSc Data Science student at Ravenshaw University, Odisha. As I continue my academic journey, I'm building a strong foundation in statistics, programming, machine learning, and data analysis.
My focus is on developing a strong technical foundation in AI while embracing new technologies and learning opportunities. I believe in continuous growth and am committed to expanding my knowledge and skills in this ever-evolving field.
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Schooling
SACIE, Mayurbhanj, Odisha
91% Marks Secured -
Higher Secondary
NIST, Balasore, Odisha
89% Marks Secured -
Degree (Continuing)
Ravenshaw University, Cuttack
Honours: Data Science
Thinking outside the box
Constant drive to learn
Quick to embrace change
Skills & Tools
Technologies and tools I use to get things done effectively.
Languages
Java
Python
HTML
Pandas
NumPy
Matplotlib
Seaborn
Scikit-learn
SQL
R Language
Tools
ChatGPT
Antigravity
VS Code
Jupyter Notebook
AI Studio
MySQL
Google Colab
Power BI
Currently Learning
My Projects
Featured Dashboard Projects
A collection of interactive and analytical dashboard projects covering financial, streaming, and retail data.
Heart Disease Risk Assessment
An interactive web application to assess heart disease risk based on user health metrics.
Movie Recommendation System
A machine learning based movie recommendation system utilizing NLP and TF-IDF.
Book Recommendation System
A machine learning powered book recommendation web app using collaborative filtering to suggest books tailored to user taste.
Basic Sentiment Analysis
A web application to analyze textual sentiment using natural language processing techniques.
Weather Temperature Prediction Model
A machine learning model built to forecast temperature trends based on historical weather metrics.
Disaster Tweets Prediction Model
A natural language processing model trained to classify whether tweets are describing real disasters.
Gender Classification Model
A machine learning web application that predicts gender from names using NLP preprocessing and classification techniques.
Next-Text Prediction Model
A deep learning model trained with LSTM neural networks to accurately predict and generate the next word in a sequence.
Apple Global Retail Analytics
Comprehensive retail analytics dashboard providing deep insights into Apple's global sales, products, and customer behavior.
UK Baby Names Analysis Report
An in-depth demographic analysis and visual reporting project exploring historical UK baby naming trends and popularity patterns.
Featured EDA Projects
A curated collection of Exploratory Data Analysis projects covering multiple domains.
Personal Expense Dashboard
This project transforms raw financial data into a sophisticated visualization system. Using Pivot Tables and advanced Excel functions, it provides a holistic view of personal finances.
Project Highlights
- Categorized tracking for 15+ expense types
- Dynamic pie chart for distribution analysis
- Automated balance and ratio calculations
- Clean, user-friendly interface design
Interactive Workbook
Explore the live data and analysis directly in the embedded Excel sheet below.
Featured EDA Projects
A collection of Exploratory Data Analysis projects focusing on customer behavior, pop culture trends, and accident metrics.
Customer Churn EDA
Detailed analysis of customer churn metrics to identify pattern behavior and improve retention rates.
Anime Data Analysis
Data exploration of popular anime listings, ratings, and genre trends using visualization tools.
US Accidents EDA
Comprehensive analysis of US traffic accidents to find critical hot spots, timing, and conditions.
UK Baby Names Analysis
Demographic trend analysis uncovering shifting naming conventions, regional patterns, and historic baby name popularity across the UK.
Featured Dashboard Projects
Analytical dashboards created to visualize business, user behaviors, and retail metrics.
Personal Expense Dashboard
Advanced Excel-based tracking system with interactive financial insights.
Spotify User Behavior Dashboard
Exploratory data analysis and interactive dashboard evaluating Spotify listener behavior and music trends.
Starbucks Dashboard
Interactive business intelligence dashboard tracking customer behavior, transactions, and offers.
Monday Coffee Market Analysis
Data-driven business analysis and interactive dashboard evaluating coffee sales trends, customer patterns, and city expansions.
Apple Global Retail Analytics
Comprehensive retail analytics dashboard tracking store sales performance, revenue patterns, and product trends.
The Connection
Iām open to beginner-level opportunities and learning collaborations in data science and related fields.
Visit GitHub, LinkedIn, and Kaggle for more projects and ideas