SUDEEP reddy yekkanti

SUDEEP reddy yekkanti

Data Analyst | SQL Developer | Python Developer
India
Telugu, English
Fresh Graduate On-site

About Me

Data Analyst and B.Tech Computer Science graduate (CGPA: 8.16/10) specializing in SQL, Python, data visualization, and predictive modeling. Experienced in data cleaning, exploratory data analysis (EDA), feature engineeri…

Experience

Mobile Price Prediction — ML Classification Model

Academic Project · Hyderabad , Telangana , India
Feb 2026 - Present · 8 months

<p>Built supervised classification models (Random Forest, SVM, KNN) to predict mobile price ranges from 10+ features, achieving 89% accuracy.</p><p> Cleaned and preprocessed 2,000+ records — missing value imputation, feature encoding, and normalization using scikit-learn pipelines.</p><p> Evaluated 4 ML algorithms via F1-score and confusion matrix; selected Random Forest as the best-performing model, and optimized MySQL queries for data validation, cutting prep time by ~30%.</p><p> Applied OOP principles (abstraction, inheritance) to build a reusable Python preprocessing pipeline.</p>

Hospital Management System — SQL Database Project

Personal Project · Hyderabad , Telangana , India
Jan 2026 - Jan 2026

<p>Designed and implemented a relational database schema covering patients, doctors, appointments, billing, and departments.</p><p> Wrote 15+ optimized SQL queries using joins, window functions, CTEs, and subqueries to extract KPIs including admission rates, doctor availability, and department-wise billing.</p><p> Implemented stored procedures and triggers to automate scheduling and billing, and built interactive Excel dashboards (pivot tables, charts) to present patient statistics and revenue trends to stakeholders.</p>

PROJECTS

Hospital Management System — SQL Database Project Personal Project

10000 coders
Duration : 04-May-2026 - 05-Jun-2026

<p>In one of my personal projects, I designed a relational database for a Hospital Management System covering patients, doctors, appointments, and billing. I wrote over 15 optimized SQL queries using joins, window functions, CTEs, and subqueries to extract key metrics like admission rates and department-wise billing, and implemented stored procedures and triggers to automate scheduling and billing processes</p>

Skills

Python SQL EDA Data Cleaning Data Transformation Statistical Analysis scikit-learn Random Forest SVM KNN Feature Engineering Model Evaluation Cross-Validation Retrieval-Augmented Generation (RAG) Vector Search Embedding Pipelines Document Retrieval Pipelines NumPy Pandas MySQL DDL DML TCL DCL Joins Window Functions CTEs Aggregate Functions RDBMS Inheritance Polymorphism Abstraction Encapsulation Power BI MS Excel Pivot Tables Charts VLOOKUP Conditional Formatting Git GitHub VS Code Google Colab Data Analysis Data Visualization Business Intelligence (BI) Dashboard Development KPI Tracking SQL Query Optimization Predictive Modeling
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