Shubham Naik

An analytical-minded data science enthusiast proficient in handling large datasets and ability to use statistics and machine learning for finding complex data patterns that drive meaningful impact on the business. Looking for the opportunity to build a challenging career and apply skills in an innovative and simplify process with a team-oriented attitude.

• Silver Badge in Python, HackerRank
• Golden Badge in SQL, HackerRank

• Medium Blogs on Data Science, 2022
• Decision Trees for Classification and Regression, 2022

Credit Card Default Prediction 

• Built a Classification model using XGBoost to predict whether a customer will default on his/her credit card.
• Benchmarked XGBoost algorithm against Logistic Regression, Random Forest and Support Vector Classification.
• Experimented with Performance metrics for various models found XGBoost as the best model with a Recall of 85.6%., Logistic Regression, Random Forest Classifier, XGBoost, Support Vector Classifier, SMOTE, Class Imbalance

NYC Taxi Trip Time Prediction

• Built a Regression Model using Gradient Boosting, Decision tree regressor, and XGBoost models to predict taxi trip time in NYC.
• Employed processing techniques such as Feature Engineering and Outlier Treatment.
• Experimented with Hyperparameter Tuning techniques such as GridSearchCV and achieved a R2 Score of 73.7% using the Gradient Boosting., Linear Regression, Decision Tree, Gradient Boosting, XGB Regressor.

Netflix Movies and TV-Shows Clustering

• Employed NLP techniques such as Text cleaning, Stemming, Tokenizer, removing Stopwords. Performed vectorization of the final text column using TFIDF followed by dimensionality reduction using PCA.
• Performed Data Cleaning, preprocessing and analysis, Building models to address business problems by finding data patterns. Employed NLP techniques such as Text cleaning.
• Visualizing most used words in Title and Cast with WordCloud.
• Evaluated the optimal clusters using silhouette and got 5 clusters, K-means performed well on the dataset and gives Silhouette score of 0.82., K-Means, PCA, NLP, Clustering, Silhouette score, Elbow score.