Vaishnavi J

MCA student · Aspiring Data Analyst / Machine Learning Enthusiast

Kollegala, Karnataka, India

@vaishnavi_j

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About

MCA student specializing in Artificial Intelligence and Data Science with hands-on experience in Python, Java, SQL, machine learning, data analysis, and computer vision. Built projects and dashboards using Tableau, and has a strong foundation in databases, OOP, and problem solving.

Experience

Data Analytics Job Simulation

Deloitte

Sep 2026 – —

Analyzed machine telemetry data using Tableau to identify downtime patterns across factories, device types, locations, sections, and machine statuses. Created calculated fields and an interactive dashboard to analyze unhealthy machine conditions and downtime.

Education

2026

Master of Computer Applications

Amrita Vishwa Vidyapeetham

Artificial Intelligence and Data Science · 2024 – 2026

Artificial Intelligence and Data Science · 2024 – 2026
2024

Bachelor of Computer Applications

Amrita Vishwa Vidyapeetham

2021 – 2024

2021 – 2024

Skills

<3 months

C SQL Java NumPy Python Pandas OpenCV Debugging Matplotlib Regression Data Cleaning Classification Data Structures Model Evaluation Image Processing Data Preprocessing Feature Engineering Exploratory Data Analysis Objectoriented Programming (Oop)

Tools / apps / platforms

<3 months

Git MySQL GitHub SQLite Tableau VS Code Microsoft Excel Jupyter Notebook

Languages

Not stated

Hindi Speak English Speak Kannada Speak

Projects

Text-Based Sentiment Analysis

Python, TF-IDF, Scikit-Learn

Developed a sentiment analysis model using the UCI Sentiment Labelled Sentences dataset. Applied text preprocessing and TF-IDF feature extraction for classification. Implemented Random Forest and achieved 73% classification accuracy.
Student Cognitive Load Prediction Using Machine Learning

Python, Pandas, Scikit-Learn

Developed machine learning models to predict students’ cognitive load using educational datasets. Performed data preprocessing, feature engineering, exploratory analysis, and visualization. Compared Linear Regression, Decision Tree, and Random Forest using MAE, RMSE, and R2.
Personal Finance Tracker

Java, OOP, File Handling

Developed a Java application to manage income, expenses, savings, and transactions. Implemented object-oriented programming, file handling, and exception handling for structured data management. Applied software development principles to create a modular and maintainable application.
E-Commerce Sales & Customer Analytics

Python, Pandas, SQL, SQLite, Tableau

Analyzed the Olist Brazilian E-Commerce dataset covering 99,441 orders and 96,096 unique customers to evaluate sales, customers, products, payments, reviews, and delivery performance. Performed data cleaning, preprocessing, exploratory data analysis, and SQL-based analysis to identify trends and business insights. Built an interactive Tableau dashboard covering revenue trends, product categories, top products, payment methods, state-wise sales, reviews, and delivery performance.

Courses & certifications

Data Analytics Job Simulation · Deloitte Forage · 2026
Introduction to Artificial Intelligence · Great Learning
Software Engineering · Infosys Springboard

🏆 Achievements & awards

Secured 5th Rank in BCA at Amrita Vishwa Vidyapeetham

⚽ Extracurricular activities

Organized technical and cultural events including Codathon

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