Hi, I'm Sneha Srivastava 👋

BCA Student | Aspiring Data Scientist & AI/ML Enthusiast

About Me

Sneha Srivastava

Hi 👋, I'm Sneha Srivastava, a passionate BCA student focused on Data Science, AI, and Web Development. I've contributed to Pyverse during SSOC'2025 building an Emotion Detection App using OpenCV and CNN. Currently, I'm serving as Project Admin for Focusverse in GSSOC'2025, a productivity app built using Python and JS. I have completed internships at Tata Steel SNTI as a Data Science/ML Intern and GAMUT GURUS as a Java Intern. I'm also proficient in Power BI, Excel, SQL, Python, and Web Development tools. My goal is to pursue a career in Data Science, AI research, and impactful tech solutions 🚀.

Skills

💻 Technical Skills

Python Java C++ My SQL Pandas NumPy HTML CSS JavaScript Git & GitHub Power BI Excel

🌟 Soft Skills

Communication Team Collaboration Problem Solving Time Management Quick Learning Adaptability

🛠️ Tools

MS Office Excel PowerPoint Data Visualization Flask VS Code

Experience

Tata Steel SNTI – Data Science/ML Intern

May 2025 – Aug 2025

• Worked on manufacturing datasets: Steel Plate Defect Prediction & CWRU Bearing Dataset
• Applied ML models like SVM, Random Forest, Logistic Regression
• Performed Data Preprocessing, Feature extraction, Model Comparison
• Achieved 92% accuracy on Steel Plate & 96% accuracy on Bearing Fault Classification

TechCoder OPC Pvt Ltd. – Data Analytics Internship

Feb 2024

• Completed Data Analytics & Job Simulation program
• Hands-on experience in data cleaning, visualization, and reporting

Projects

🎥 Emotion Detection App

Real-time emotion recognition using OpenCV & CNN model with live webcam feed.

🌌 FocusVerse

Productivity app with Pomodoro timer, task manager, motivational quotes, calming music. Built with Python & JavaScript.

⚙️ CWRU Bearing Fault Detection

ML models for fault classification, feature extraction, model comparison, ROC-AUC analysis.

⚙️ Steel Plate Defect Prediction

ML models for defect detection and prediction with accuracy optimization.

📊 Amazon Sales Analytics Dashboard

Built a sales analytics dashboard using Power BI and Excel. Features theme toggle, banner slider, interactive visuals, KPI tracking, revenue trends, and product performance insights.

🔍 Customer Churn Prediction

Developed a machine learning model to predict customer churn. Performed data preprocessing, feature engineering, model training & evaluation using Python libraries like Pandas, Scikit-learn, and Matplotlib.

🌐 Portfolio Website

Personal portfolio with modern glassmorphism UI, showcasing skills, projects, and experiences.

Contact

Let’s connect! 🚀

Email LinkedIn GitHub