Dhiraj Chaudhari Email & Phone Number

Pune, Mh, In

Pune, Maharashtra, India

I worked towards solving data science-related questions and queries over the doubt resolution forum.Gained proficiency in tools and technologies like Python, SQL, sk learn and teamwork, time management & problem-solving skills.

* Developed an app using multiple CNN architectures that detects the sentiment of theonline classroom using live video from the webcam and give feedback to tutor.* Employed essential image preprocessing techniques such as image augmentation,Pixel brightness transformations etc. Use RELU, Dropout, Max-pool etc.* Experimented CNN such as LeNet, AlexNet, VGG16, VGG19 etc. Also used transferlearning to improve model accuracy. The model achieved 67% accuracy on test data.

* Built several clustering models using K-Means, Hierarchical and DBSCAN Clustering toidentify major customer segments on transactional Dataset of an online retail.* Performed EDA and RFM modelling by feature engineering to obtained new featuressuch as Recency, Frequency, Monetary, RFM, RFMScores etc.* Obtained the optimal number of clusters using silhouette analysis, Elbow method anddendrogram from hierarchical clustering. Use DBSCAN to deal with outliers.

* Developed classification model to predict ten-year risk of weather a person will sufferfrom Coronary Disease by trying Machine Learning classification algorithm* Performed EDA to obtain meaningful insights. Did Feature Engineering, experimentedalgorithms such as Logistic regression, Naïve Bayes, SVM, Random Forest classifiers.* Tuned the hyperparameters to get optimal model performance and evaluated themodels support vector classifier gave the best Recall of 71%.

* Developed a supervised regression based model and predict the hourly demand of bikes to reduced the public waiting time using Machine Learning Algorithms* Performed data cleaning, outlier handling, stastical analysis, EDA to gain meaningful insights and Feature Engineering to extract features for the best model performance.* The model was experimented using Linear Regression but didn't perform well so, finally using Random Forest and Gradient Boost we achieved Adjusted R2 of 0.91

Bachelor'S Degree, Civil Engineering

Higer Secondary, Intermediate In Science, 71.23

Matriculation, 80.60