Harshkumar Fadadu

• Developed predictive models that resulted in a 15% increase in revenue by accurately forecasting the impact of base price changes on product and service demand.
• Collaborated with cross-functional teams to understand business objectives and identify potential opportunities for data analytics to provide actionable insights.
• Played a key role in developing machine learning algorithms to automate the processing and interpretation of complex data sets, which reduced service expenses by $15,000/quarter.
• Presented technical findings to non-technical stakeholders, translating complex data into easy-to-understand insights and recommendations.

<p>Developed predictive models that resulted in a 15% increase in revenue by accurately forecasting the impact of base price changes on product and service demand.<br>
Collaborated with cross-functional teams to understand business objectives and identify potential opportunities for data analytics to provide actionable insights.<br>
Played a key role in developing machine learning algorithms to automate the processing and interpretation of complex data sets, which resulted in a reduction of service expenses by $15,000/quarter.<br>
Presented technical findings to non-technical stakeholders, translating complex data into easy-to-understand insights and recommendations.</p>

<p>Build loan remarks clustering using Latent semantic analysis (LSA) which clusters remarks based on the type of remark.<br>
Created a classifier model for classifying loan remarks into different sets of remarks using different ML models for Credit Risk Modelling.<br>
Created a database using PostgreSQL from scratch for storing all the loan details.<br>
Built financial scorecard using credit risk data and automated it using Dagster.</p>

<p>Created a complete pipeline of ETL stages and converted the MART file to a JSON file for making charts.<br>
Implemented regression for predicting sales and other metrics for different dealers for the current month.<br>
Partnered with Product Support to identify key platform vulnerabilities, bugs and areas of improvement.</p>

<p>Created data visualisation graphics, translating complex data sets into comprehensive visual representations.<br>
Made changes to the Next Question Engine (NQE) to give better questions to the user by implementing different schemes.<br>
Implemented the Bayesian Knowledge Tracing (BKT) model to predict the next question sequence for a user and simulated its outcomes.<br>
Used contextual bandit for recommendation system using Vowpal Wabbit library.</p>