Computer Engineering Student · PCCOER, Ravet

Sanika
Galgunde

Learning ML · NLP · Deep Learning · Data Science
Open for Internships — ML · NLP · Data Science · Data Analyst · SAP ABAP

2nd Year B.E. Computer Engineering student actively learning and building in ML & NLP — prediction models, an Android app, and a full-stack platform. Growing fast.

Sanika Galgunde
Sanika Galgunde B.E. CSE · 2nd Year
01 — About

Who I am

I'm Sanika Babruvan Galgunde, a Computer Engineering student at PCCOER, Ravet with a Diploma background. Actively learning and building in Machine Learning, NLP, and Deep Learning — at an intermediate level and improving with every project.

My approach is project-first — I learn by building real things, not just tutorials. I care about building AI that genuinely helps people, especially those with speech disorders.

Open for Internships in
🤖 Machine Learning
🗣️ NLP
📊 Data Science
📈 Data Analyst
💼 SAP ABAP
🌐 Full-Stack Dev
🎓
B.E. Computer Engineering (2nd Year)
PCCOER, Ravet — Pimpri Chinchwad College of Engineering & Research
📜
Diploma in Computer Engineering
Strong foundational background before B.E.
🧠
Core Focus Areas
NLP · Machine Learning · Deep Learning · AI Agents
02 — Skills

Tech & Tools

🤖 ML / AI / NLP
Machine Learning Deep Learning NLP Scikit-learn NumPy Pandas Data Preprocessing Feature Engineering
💻 Programming Languages
Python Java JavaScript C C++ SQL XML
🌐 Web Development
HTML / CSS JavaScript Node.js Express.js MongoDB
📱 Mobile & Databases
Android Dev Firebase Android Studio MongoDB SQL
📊 Data & Analytics Tools
Microsoft Excel Power BI Data Visualization Pivot Tables Dashboard Design Data Cleaning
Focus Areas
Natural Language Processing
Machine Learning
Deep Learning
AI Agents (exploring)
03 — Work

Built & Shipped

01
Hostel Leave Management System
Android app to digitize hostel leave requests with real-time multi-level approvals.
Android Java XML Firebase
03
Student Performance Analysis
Analyzed student academic data to find performance patterns using Excel.
Microsoft Excel Pivot Tables Data Cleaning
05
Sentiment Analysis App
Real-time sentiment analysis of text using NLP and Streamlit. Classifies emotions as positive, negative, or neutral.
Python Streamlit NLP Transformers
06
AI Fitness Trainer
AI-powered fitness trainer that tracks exercise repetitions and provides real-time feedback using computer vision.
Python Streamlit OpenCV MediaPipe
04 — Certificates & Badges

Certified Skills

🎓
IBM / SkillsNetwork
Python for Data Science & AI
🏅
SAP Learning
SAP Verified Badge
💼
Forage
Virtual Work Experience
🎓
IBM / SkillsNetwork
Data Analysis & Visualization
HackerRank
HackerRank Verified Certificate
05 — ML Work

ML Models I've Built

📚  Currently at a learning & intermediate phase — building real models to deepen understanding
🏠
House Price Prediction
Regression model to predict house prices based on area, location, rooms and amenities.
Python Scikit-learn Regression
📱
Phone Resale Price Prediction
Estimates phone resale value from specs like brand, RAM, storage and battery.
Python Scikit-learn Regression
💻
Laptop Price Prediction
Predicts laptop price from user specs — processor, RAM, GPU, display and brand.
Python Scikit-learn Regression
Also Exploring
NLP & Deep
Learning

Actively exploring NLP & speech understanding — especially AI that can help people with speech disorders communicate better. Also diving deeper into deep learning fundamentals.

NLP Basics Speech Recognition AI Accessibility Deep Learning
06 — Contact

Let's Connect

Open to internships,
collabs & great ideas.

I’m currently in a learning phase, exploring Machine Learning, NLP, and AI. Open to internships, projects, and collaborations where I can learn, contribute, and grow. Feel free to connect!.