Naveen Kadakuntla

Dynamic and detail-oriented professional with expertise in Python, data structures, algorithms, and machine learning. Demonstrates proficiency in data visualization, statistical analysis, and cloud technologies, including AWS. Skilled in NLP and LLM, with a strong foundation in SQL, data modelling, and deep learning. Adept at utilizing Power BI, and Microsoft Excel for effective data presentation and analysis. Committed to leveraging advanced data analytics to drive business insights and innovation.

• Python Programming, GUVI & IITM
• Power BI Data Analyst, Microsoft

Stock Market Prediction Using Machine Learning

Key Skills: Statistical Models, Tensorflow, Machine Learning Models 

• Designed stock price prediction models using LSTM, XGBoost, and Random Forest algorithms, achieving an RMSE of 571.71 for LSTM, surpassing XGBoost (588.78) and Random Forest (588.15).
• Executed advanced time-series analysis, preprocessed Tesla stock data, and optimized data modeling for superior forecasting accuracy.
• Achieved precise predictions with LSTM closely tracking actual stock prices, validated by low residuals and superior alignment with real trends.
• Utilized Python, statistical techniques, and Yahoo Finance data for visualization, feature engineering, and evaluation of financial time-series data.

Blockchain-Powered Fraud Detection and Claims Processing with ML in Insurance.

Key Skills: Python, Streamlit, Blockchain, HTML, CSS

• Developed blockchain-powered fraud detection models, enhancing precision and transparency in the insurance sector.
• Implemented advanced machine learning techniques (Gradient Boosting, Random Forest) and feature engineering to optimize fraud detection.
• Achieved a 75.96% F1-score, reducing false negatives and improving accuracy in fraudulent claim identification.
• Designed and integrated secure front-end interfaces with HTML5, CSS, and blockchain-backed smart contracts for efficient claims processing.

Indian Premier League Data Analysis Using PowerBI

Key Skills: Power BI, Data Analysis, ReportCreation

• Analyzed performance metrics and match outcomes for 250+ IPL players to identify trends in team strategies and individual contributions.
• Created interactive Power BI dashboards to visualize player statistics, team performance, and seasonal insights effectively.
• Delivered data-driven insights that enhanced understanding of key performance indicators, supporting strategic decision-making.
• Utilized Power BI and data cleaning techniques to process extensive IPL datasets and present advanced visualizations comprehensively.