Priyanka Kedare

More than 4+ years of experience as a Data Scientist having expertise in preparing and preprocessing data, deriving useful insights from data and developing and deploying highly scalable machine learning models.

• Got Meritorious Student Scholarship in BITS PILANI.
• Stood amongst Top 10 percent Students in Engineering.
• Selected in IIT Extended Merit List.
• Stood 10th in SSC State Merit List.

Employability prediction based on academic records and extracurricular activities:

• Trained random forest classifier model for predicting whether a student will be placed or not .
• Also calculated weightage of each factor contributing to result so that weak areas can be improved by student before actual placement.

Game Churn Prediction:

• Defining Churn and finding out the optimum value of the observation period and churn period considering the overall player behavior and business aspects.
• Optimum Model Selection-Random Forest Classifier with hyperparameter tuning

Clustering Model for BNPL Money Lending Service

• Clustering of customers for Buy Now Pay Later money lending service for Targeted Marketing.
• Appropriate Selection of Clustering Model i.e. K-Means Clustering as well as number of clusters for effective segmentation.

Sentiment Analysis of Bank Reviews

• Performed NLP based Tokenization, Lemmatization, vectorization and processed data in required format. Created data frames by using Count vectorizer like Bag of words and TF-IDF.
• Developed Python script to extract key phrases from feedbacks data Performed training of Naive Bayes Model based on star rating.

Generative AI Engineer Associate by Databricks