I'm a Data Analyst & Aspiring Data Scientist with a B.E. in AI & Data Science, passionate about turning messy datasets into actionable insights. I love exploring patterns in data, building predictive models, and creating data-driven solutions that solve real problems.

Currently seeking Data Analyst and Data Scientist internship opportunities where I can apply statistical thinking, machine learning, and data visualization to drive business decisions.

class VaishnavThorwat:
    def __init__(self):
        self.role = "Data Analyst | Data Scientist"
        self.education = "B.E. in AI & Data Science '25"
        self.location = "North Goa, Goa , India"
        self.interests = ["Machine Learning", "Statistical Analysis", "Data Visualization", "GenAI", "Automation"]
        
    def current_focus(self):
        return [
            "Building end-to-end data pipelines",
            "Exploratory Data Analysis & Insights",
            "Predictive Modeling with Python",
            "Creating interactive dashboards"
        ]
    
    def say_hi(self):
        print("Let's turn data into decisions together!")

• 🔭 Building data analysis projects with real-world datasets
• 🌱 Deepening my knowledge in Statistical Modeling and Machine Learning
• 🤝 Exploring opportunities in Data Analytics, Data Science, and GenAI
• 📊 Creating interactive dashboards and visualizations
• 💡 Contributing to open-source data science projects

Description: An ML & NLP-based framework that detects cyberbullying in real-time, specifically focusing on Hinglish (Hindi + English) text. Built a hybrid CNN-BiLSTM model to classify online behavior and promote safer digital spaces.

• 📌 Key Skills: Deep Learning, NLP, TensorFlow/Keras, CNN-BiLSTM, Text Classification
• 🎯 Impact: Achieved 91.02% validation accuracy with 91.05% F1-Score, effectively detecting harmful content while minimizing false positives

Description: Analyzed 1,400+ residential properties to predict house prices using advanced regression techniques. Performed comprehensive EDA, feature engineering, and built multiple models (Linear, Ridge, Lasso) to identify key price drivers.

• 📌 Key Skills: Python, Pandas, Scikit-learn, Regression Analysis, Feature Engineering, Data Visualization
• 🎯 Impact: Achieved R² score of 0.81, explaining 81% of price variance. Identified that overall quality and living area are the strongest price predictors, with renovations adding ~15% premium

Description: Conducted a deep-dive analysis of customer attrition for CloudPulse, a B2B SaaS platform. Performed data auditing, feature engineering, and segment-based hypothesis testing to pinpoint specific behavioral triggers that lead to churn.

• 📌 Key Skills: Python (Pandas/NumPy), SaaS KPI Design (Churn Rate, MRR at Risk, ARPU), Behavioral Segmentation, Data Storytelling
• 🎯 Impact: Identified $66,000+ in Monthly Recurring Revenue at risk. And still working

💡 Tip: Check out my repositories for more projects!

Bachelor of Engineering in AI & Data Science
2021 - 2025

• Focus: Machine Learning, Statistical Analysis, Data Mining, Deep Learning
• Relevant Coursework: Data Structures, Algorithms, Database Management, Probability & Statistics, Machine Learning & Deep Learning

I'm actively seeking Data Analyst and Data Scientist internship opportunities. If you have an opening or want to collaborate on data projects, feel free to reach out!

• 💼 LinkedIn
• 📧 Email: thorwatvaishnav@gmail.com
• 🌐 Portfolio: [Coming Soon!]