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Aadhishwar P T

@aadhishwarpt

Entry-level data analyst turning raw data into insights with SQL, Python, and Power BI dashboards.

In my Nintendo Games project, I cleaned and structured game data, then used feature analysis, correlation analysis, and hypothesis testing to explore how genre, platform, and ESRB rating relate to engagement and game success. I presented the findings with Matplotlib and Seaborn visualizations.

For my Hospital Emergency Room Dashboard, I analysed 1,000+ patient records and built 5+ Power BI KPIs for patient flow, wait times, and doctor performance. The dashboard improved visibility into operational efficiency by 40%.

During my internship at Upgrad, I collaborated with a team of three on an integrated farming web platform built with Flask. I implemented a Random Forest crop recommendation model that returned the top three crops with confidence scores, alongside a rule-based soil health scoring module.

Experience

Work history, roles, and key accomplishments

Intern

Upgrad

Jan 2025 - Apr 2025 (3 months)

Collaborated in a team of 3 to build an integrated farming web platform in Flask, with farmer, customer, and admin roles and a direct farmer-to-customer marketplace covering product listings, cart, checkout, order tracking, and invoices. Implemented a Random Forest crop recommendation model using soil nutrients (N, P, K), pH, temperature, humidity, and rainfall, returning the top 3 crops with conf

Flask Random Forest Machine Learning Web Development Python SQL Teamwork

Education

Degrees, certifications, and relevant coursework

Deloitte

Data Analytics Job Simulation, Data Analytics

Completed a Data Analytics Job Simulation covering data analysis and forensic technology tasks, including building a Tableau dashboard and using Excel for data classification.

Lovely Professional University

B.Tech, Machine Learning and Artificial Intelligence

2021 - 2025

Pursued a B.Tech in Machine Learning and Artificial Intelligence, gaining skills in data analysis, machine learning, and visualization.

Coursera

Introduction to Statistics, Statistics

Completed the Introduction to Statistics course from Stanford, covering descriptive statistics, probability, hypothesis testing, confidence intervals, and regression.