Vamshi Paripelli
Results-oriented Computer Science Engineering student proficient in Python, Pandas, NumPy, Tableau, and Machine Learning. Spearheaded a real-world ML ...
About
Results-oriented Computer Science Engineering student proficient in Python, Pandas, NumPy, Tableau, and Machine Learning. Spearheaded a real-world ML project, achieving R² = 0.93 through meticulous data preprocessing, feature engineering, and rigorous model evaluation. Eager to leverage analytical prowess as a Data Analyst at Franqlin Tech Systems (Softurecs AI Labs), driving actionable insights to empower AI-powered decision-making.
Skills
Libraries & Frameworks
Pandas
NumPy
Matplotlib
Seaborn
Scikit-learn
CatBoost
Ridge Regression
Data Analysis
EDA
Data Cleaning
Feature Engineering
Data Preprocessing
Statistical Analysis
Data Visualization
Tableau
Matplotlib
Seaborn
Dashboard creation
KPI reporting
Chart design
Machine Learning & AI
Regression
Classification
Model Evaluation (R²)
Model Evaluation (RMSE)
Tools
VS Code
Git
GitHub
Excel
HTML
CSS
Soft Skills
Analytical Thinking
Data-Driven Problem Solving
Quick Learner
Team Collaboration
Detail-Oriented
Communication Skills
Projects
Food Delivery Time Prediction — Data Analysis & ML
Python
Scikit-learn
Pandas
NumPy
EDA
CatBoost
HistGradientBoosting
Ridge Regression
Conducted full EDA on delivery dataset covering traffic, weather, distance, and order type variables. Applied feature engineering and data preprocessing to improve model input quality. Benchmarked CatBoost, HistGradientBoosting, and Ridge Regression models; selected Ridge for best performance. Achieved R² = 0.93 — demonstrating strong model tuning, evaluation, and interpretation skills. Generated visual reports of model performance for business-level interpretation.
E-Learning Platform Credibility & Engagement Analysis
Python
ML
Data Analysis
Built a Python-based analytical system to evaluate content credibility and learner engagement patterns. Designed data models and UML diagrams; developed modules for data processing and performance analysis. Identified actionable insights: flagged low-credibility content and predicted learner drop-off risk. Outcome: Improved platform content quality and active learner retention metrics.
Education
B.Tech — Computer Science & Engineering
Vaagdevi College of Engineering, Warangal, Telangana
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Earned B.Tech in Computer Science & Engineering, specializing in advanced algorithms, data structures, and software engineering. Coursework emphasized practical application in areas like machine learning and scalable web development. Led a capstone project to design and implement a full-stack inventory management system using React, Node.js, and MongoDB, optimizing data processing efficiency by 30%. This experience honed my analytical, problem-solving, and robust software development skills, preparing me for impactful roles in technology.
Certifications
Programming Essentials in Python
CISCO
AI/ML
Infosys Springboard
Tableau
Simplilearn