Computer Science Engineer | Data Analytics | Data Science | Machine Learning

Passionate about transforming data into actionable insights, building intelligent systems, and developing analytical solutions that create measurable impact.

• Final-Year B.Tech Computer Science student at NMIMS MPSTME
• Interested in Data Analytics, Data Science, Machine Learning, and Business Intelligence
• Building data-driven solutions that combine analytics, visualization, predictive modeling, and machine learning
• Experienced in working with structured and unstructured data to extract meaningful insights and support decision-making
• Exploring the intersection of technology, consumer behavior, and artificial intelligence through real-world projects
• Continuously strengthening problem-solving, statistical analysis, programming, and analytical thinking skills
• Passionate about leveraging data to understand patterns, optimize processes, improve user experiences, and drive business growth

• Python
• SQL
• C++

• Pandas
• NumPy
• Matplotlib
• Seaborn
• Plotly
• Power BI
• Microsoft Excel
• Data Visualization
• Exploratory Data Analysis (EDA)
• Statistical Analysis

• Scikit-learn
• Predictive Modeling
• Classification
• Regression
• Feature Engineering
• Model Evaluation
• Model Interpretation

• MySQL
• PostgreSQL

• Git
• GitHub
• VS Code
• Jupyter Notebook

Consumer Manipulation Intelligence Platform that analyzes digital engagement patterns, detects dark patterns, measures behavioral influence, and generates actionable consumer insights using Data Analytics, Machine Learning, and NLP.

Customer Churn Prediction & Retention Analytics Platform focused on identifying at-risk customers, uncovering churn drivers, and generating data-driven retention strategies through predictive analytics.

E-Commerce Business Intelligence Platform designed to analyze sales performance, customer behavior, inventory trends, and key business metrics through interactive dashboards and analytics.

Predictive Transaction Risk Analysis platform leveraging machine learning models to detect fraudulent transactions, assess risk, and identify suspicious behavioral patterns.

Behavioral Analytics & Engagement Intelligence project exploring user retention, content consumption behavior, engagement patterns, and attention-driven digital experiences.

• Data Analytics & Business Intelligence
• Machine Learning Fundamentals
• Predictive Analytics
• Exploratory Data Analysis (EDA)
• Consumer & Behavioral Analytics
• Dashboard Development & Data Visualization
• Building End-to-End Analytics Projects
• Strengthening SQL, Statistics, and Problem-Solving Skills

• Data Analytics
• Data Science
• Machine Learning
• Consumer Behavior Analytics
• Business Intelligence
• Product Analytics
• Artificial Intelligence
• Decision Intelligence

LinkedIn: www.linkedin.com/in/gaatha-patel-938597296

Email: gaathapatel2005@gmail.com