Vina Pawar

Passionate and Motivated Data Science Engineer with over 6 years of work experience in predictive analytics, statistical modelling and data analytics with strong hold in Banking and Insurance domain. Extensive experience in building Machine Learning models for different business problems.

• Studied and compared performance measures of different supervised learning algorithms by applying different pre-processing techniques on different types of data
• Awarded with the Lime Light award for developing to Mobile registration model.
• Search Result Relevance - Developed model which classifies text data based on product relevance using different supervised algorithms, Used NLP techniques like stemming, TF/IDF and tokenization
• Awarded with Extra Mile Award for extending my work for other projects without affecting my target/ deadlines.
• BNP Paribas Cardiff Claims Management - This was anonymized database with two categories of claims one is claim for which approval is needed and another one is claim for which additional information is required and the goal is to predict the category of a claim based on features. This was a Kaggle competition and I got ranked in top 21% bucket
• Product Classification Challenge - Developed predictive model which can distinguish between different product categories of one of the e-commerce company
• Loan Prediction - Developed model which predicts the loan eligibility based on customers historical data. This competition was held by Analytics Vidhya and I was at 76th position on leader board.