S Tasleen

B.E. Artificial Intelligence and Data Science student · Aspiring Data Analyst

Bangalore, Karnataka, India

@tasleen_sana

0 followers

🎓 B.E. in Artificial Intelligence and Data Science at Bearys Institute of Technology, Mangalore · Graduating 2027

About

B.E. Artificial Intelligence and Data Science student with a foundation in Python, SQL, machine learning, and data analytics. Experienced in building web applications and AI-driven projects, with interests in data cleaning, exploratory data analysis, and transforming datasets into actionable insights.

Education

B.E. in Artificial Intelligence and Data Science

Bearys Institute of Technology, Mangalore

Artificial Intelligence and Data Science

Artificial Intelligence and Data Science

Skills

<3 months

SQL NumPy Python Pandas Clustering Statistics Matplotlib Regression Probability scikit-learn Data Cleaning Data Analytics Classification Data Engineering Machine Learning Model Evaluation Cross Validation Prompt Engineering Hypothesis Testing Data Interpretation Feature Engineering Large Language Models Inferential Statistics Exploratory Data Analysis Generative AI (ChatGPT, Copilot, Gemini)

Tools / apps / platforms

<3 months

Git GitHub MongoDB Microsoft Excel Jupyter Notebook Microsoft Power BI

Projects

Land Acquisition Management System

React.js, Node.js, TypeScript, REST APIs, MongoDB

Developed a multi-role acquisition workflow with six role-specific portals for land verification, project approvals, compensation assessment, financial processing, and rehabilitation management. Integrated RESTful APIs with MongoDB to manage land, project, beneficiary, compensation, and approval data, supporting status updates and end-to-end tracking across departments.
AI-Powered Retail Intelligence & Decision Optimization Platform

Python, Pandas, NumPy, Scikit-learn, SQL

Developing a retail analytics platform using Python, Pandas, NumPy, and SQL to analyze sales trends, customer purchasing behavior, product performance, and inventory patterns through data preprocessing and exploratory data analysis (EDA). Applying predictive modeling for demand forecasting and inventory optimization while building a decision-support dashboard to visualize retail metrics, uncover actionable insights, and improve data-driven business decisions.

Courses & certifications

Prompt Like an Engineer · Cisco
Machine Learning Methods and Tools · IBM
Data Analytics with Python · NPTEL
Data Science Essentials with Python and Generative AI · Cisco

🏆 Achievements & awards

Smart India Hackathon (SIH)

1st Place, Internal College Hackathon

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