• 🎓 Passionate about Machine Learning & AI
• 📊 Strong in Data Analysis & Predictive Modeling
• 👁️ Working on Computer Vision projects
• 🌱 Always learning and improving real-world ML solutions
• 🎯 Goal: Become a professional ML Engineer

Coding Languages:
Python • SQL

Models:
Logistic Regression • Random Forest • SVM • XGBoost • LightGBM

Models:
ANN • CNN • RNN • LSTM • Computer Vision

Tools: Power BI • Tableau • Dashboards • Data Storytelling • Excel

🏅 Data Science Certificate – NASSCOM and FutureSkills Prime, Govt. of India

🏅 IABAC Certified Data Scientist, IABAC Data Science Foundation

🏅 Data Analytics and Visualization: Accenture Certified. Work simulating with Power BI and Excel.

🏅 Microsoft Azure AI Fundamentals (AI-900) Certified by Microsoft.

🏅 High Performance competitive coding from IamNeo

🏅 Next Gen Cloud, Core Team Member (using Python programming language).

💰**Insurance Cost Prediction using Machine Learning **

• Built a regression model to predict medical insurance costs.
• Handled categorical encoding, feature scaling, and outliers.
• Used Linear, Ridge, and Lasso Regression with hyperparameter tuning.
• Evaluated using MAE, RMSE, and R2 score.
• Technologies/Tools: Python, scikit-learn, Pandas, Matplotlib, Seaborn

👨‍💼 Employee Performance Prediction

• Compared Logistic Regression, SVM, Random Forest & LightGBM
• Used PCA for feature selection
• Built predictive analytics model using HR dataset
• Technologies/Tools: Python, scikit-learn, XGBoost, LightGBM, SMOTE

🌾 Rice Leaf Disease Detection (CNN)

• Designed CNN model for image classification
• Applied image preprocessing & augmentation
• Improved accuracy with hyperparameter tuning

🛩️ Flight Fare Prediction using Machine Learning

• Built models like KNN, Random Forest, and Linear Regression to predict fares.
• Preprocessed data with encoding, scaling, and outlier handling.
• Applied hyperparameter tuning for optimal accuracy.
• Evaluated models with RMSE, MAE, and R2.
• Technologies/Tools: Python, scikit-learn, Pandas, Matplotlib

📧 Email: chandrasekhar6304@gmail.com
📱 Mobile: +91 6304343421
🔗 LinkedIn: Perumalla Venkata Chandra Sekhar 💼 Naukri: Perumalla Venkata Chandra Sekhar