Dheeraj Prajapat

• Developed predictive models using machine learning, natural language and statistical analysis methods.
• Performed exploratory analysis on large datasets using SQL and Python libraries such as Pandas, NumPy, Scikit-Learn, and Matplotlib.
• Implemented supervised and unsupervised learning algorithms such as random forest, KNN, SVM, logistic regression in Python and R environment for predictive analytics projects.
• Developed and tested deep learning models for natural language processing applications.
• Optimized neural networks to improve accuracy and speed of model performance.

• Projects and Research:

Credit Data EDA

• Objective: Analyzed credit dataset to identify trends and improve risk assessment.
• Tools: Python, Pandas, Seaborn
• Result: Discovered key insights into income, credit score, and loan approval patterns.

Hate Speech Detection

• Objective: Built a model to detect hate speech in social media text.
• Tools: NLP, Python, Scikit-learn, TensorFlow
• Result: Achieved 90% accuracy using TF-IDF and Word2Vec.

Spam SMS Classification

• Objective: Developed a classifier to detect spam messages.
• Tools: Python, Scikit-learn, NLP
• Result: Achieved 95% accuracy in classifying spam and non-spam SMS.