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class ParvathyM:
def __init__(self):
self.name = "Parvathy M"
self.degree = "BCA Hons. — Artificial Intelligence & Data Science"
self.university = "Chinmaya Vishwa Vidyapeeth (Deemed University)"
self.batch = "2024 – 2028"
self.location = "Thrissur, Kerala, India"
self.status = "🟢 Open to Internships (Available from June)"
def passion(self):
return [
"Turning raw data into meaningful stories 📊",
"Building AI-powered tools that solve real problems 🤖",
"Exploring patterns hidden in complex datasets 🔍",
]
def currently_learning(self):
return ["Advanced ML techniques", "Deep Learning", "SQL for Analytics"]
me = ParvathyM()
print(f"Hi! I'm {me.name} — {me.passion()[0]}")| Project | Description | Tech |
|---|---|---|
| 🎬 Netflix Data Exploration | EDA on Netflix dataset — content trends, category-wise insights & visualizations | Python · Pandas · Seaborn |
| 📅 Event Data Analysis | Identified patterns & variations across event-based datasets with visual comparisons | Python · Matplotlib · Pandas |
| 💰 Salary Prediction ML | Regression-based ML model to predict salaries from structured inputs | Scikit-learn · Python · EDA |
| 🤖 AI GitHub Project Reviewer | AI-powered Streamlit app for recruiter-style README scoring with interactive charts | Streamlit · Plotly · LLM |
- 🏅 AICTE – VOIS Virtual Internship — Conversational Data Analysis with LLMs
- 🐍 Introduction to Python — IBM Career Education Program
- 🤖 Artificial Intelligence Internship — AICTE & Edunet Foundation
- 🛰️ Remote Sensing Data Analytics — ISRO
📦 Data Cleaning & Wrangling ████████████████████ Expert
📊 Exploratory Data Analysis ████████████████████ Expert
📈 Data Visualization ██████████████████░░ Advanced
🤖 Machine Learning (Regression) ████████████████░░░░ Intermediate
🧮 Statistical Analysis ██████████████░░░░░░ Intermediate
🌐 Streamlit App Development █████████████░░░░░░░ Intermediate
"Data is not just numbers — it's the story waiting to be told."
I'm actively looking for internship opportunities in Data Analytics / Data Science — available full-time from June 🗓️
📬 parvathym133@gmail.com · 📱 +91 8921542511