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Hello World , I'm Sathish Prasad V T  


  • Data Enthusiast | 🚀 Problem-Solving Advocate | 🌟 Exploring Opportunities
  • Pursuing MS in Quantitative Management @ Duke University
  • 4 years of experience, including Head of Data Analysis, driving growth strategies
  • Crafting visual narratives and empowering businesses with data-driven insights
  • Proficient in Python, R, Snowflake, GitHub, Airflow, CI/CD, SQL, Tableau
  • Currently into data engineering and crafting robust ETL pipelines
  • Bringing academic rigor and hands-on expertise to drive data initiatives
  • Constantly leveraging new techniques for informed decision-making
  • Seeking data-driven teams to contribute insights and propel decisions forward. Let's connect!


Languages and Tools:

R R SQL SQL SQL SQL SQL SQL SQL heroku

Sathish Prasad V T's Projects

analysis-of-uber-data icon analysis-of-uber-data

This repo presents a comprehensive Uber analysis using GCP, Looker, and Mage. From data collection to insights, it showcases integrated data techniques for a full understanding of the process.

androidstudio icon androidstudio

Android Studio projects a part of academic Course. Mobile Application Developement

basics-to-advanced-postgresql icon basics-to-advanced-postgresql

"Basics of PostgreSQL" repository offers fundamental insights into this powerful relational database. Explore SQL syntax, data modeling, querying techniques, and more. Perfect for beginners seeking a strong foundation in PostgreSQL essentials. Dive into the world of data management with confidence.

credit-card-fraud-detection icon credit-card-fraud-detection

Credit Card Fraud Detection via PyTorch MLP uses deep learning to identify fraud. Trained on past data, it discerns between genuine and fake transactions. With multiple layers and dropout, it ensures high accuracy and security, adapting to new fraud methods for effective, real-time prevention.

detecting-anomaly-in-ecg-data-using-autoencoder-with-pytorch icon detecting-anomaly-in-ecg-data-using-autoencoder-with-pytorch

This project, "Detecting Anomaly in ECG Data Using AutoEncoder with PyTorch," focuses on leveraging an LSTM-based Autoencoder for identifying irregularities in ECG signals. It employs PyTorch to train and evaluate the model on datasets of normal and anomalous heart patterns, emphasizing real-time anomaly detection to enhance cardiac monitoring.

ml-insurance-pricing icon ml-insurance-pricing

This GitHub repository contains a machine learning model designed to predict insurance quotes with accuracy and precision. Our predictive model utilizes a dataset of historical insurance data to estimate insurance premiums for various policyholders based on a range of factors, such as age, location, coverage type, and more.

music-recommendation-system icon music-recommendation-system

This repository contains the implementation of a Music Recommendation System using the Spotify dataset from Kaggle. The system is built with Machine Learning techniques to suggest songs to users based on their listening history and preferences.

practical-statistics-for-data-scientists icon practical-statistics-for-data-scientists

Welcome to my GitHub repository, your go-to resource for mastering practical statistics inspired by the acclaimed book "Practical Statistics for Data Scientists." Here, I've compiled and implemented over 50 vital statistical concepts using both R and Python, simplifying the journey to statistical expertise.

predicting-patient-treatment-discontinuation-using-python icon predicting-patient-treatment-discontinuation-using-python

Python code to predict patient treatment discontinuation probability, trained on patient features such as age, gender, medical history, and treatment type. Can be used to identify patients at high risk of discontinuing treatment, so clinicians can intervene early.

programming-for-analytics icon programming-for-analytics

A repository containing foundational programming assignments from my Fuqua Quantitative Management Masters, highlighting essential coding concepts for data analysis and interpretation in a business context.

sql-50-leet-code icon sql-50-leet-code

A comprehensive repository containing my solutions to the SQL 50 Challenge by LeetCode. Each solution is accompanied by detailed explanations and best practices in SQL, catering to those looking to enhance their database querying skills

sql-for-data-engineering icon sql-for-data-engineering

This GitHub repository houses a comprehensive collection of SQL commands and scripts tailored specifically for data engineering tasks. Whether you're a seasoned data engineer or just starting out, this resource provides a valuable toolkit to efficiently manage, transform, and process data within your projects.

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