Innovative data scientist with a robust background in machine learning, statistical analysis, and predictive modeling. Skilled in translating complex datasets into actionable insights that drive decision-making and business strategy improvements. Demonstrates strong problem-solving abilities and mastery of Python, SQL, and data visualization tools. Previous work has led to significant enhancements in operational efficiency and revenue growth through data-driven strategies.
Technical
Professional
Python Developer (NASSCOM)
Completed 4-month training and assessment for Python developed by IT-ITeS Sector Skills Council NASSCOM in collaboration with Ministry of Electronics & Information Technology
Machine Learning and Deep Learning for Data Science and AI
Trained in Python programming language along with hands-on assessment on various ML algorithms
Bangalore House Price Prediction
Link: https://github.com/LearnPrakhar/banglore_house_Prices
Analyze historical data to train a machine learning model to predict accurate price estimates for real estate properties based on features such as location, size, etc. via advanced data analysis and machine learning techniques
Sentiment Analysis of Twitter Dataset
Link: https://github.com/LearnPrakhar/Twitter-Sentiment-Analysis
Classified tweets into "Positive" or "Negative" sentiments using machine learning. Involved data pre-processing, text cleaning with regular expressions, and feature extraction using TF-IDF. Trained models (Logistic Regression, Naive Bayes, SVM) with hyperparameter tuning and evaluated performance using accuracy, precision, recall, and F1-score.