Pranav Bahl Email & Phone Number

Minneapolis, Minnesota, US

Orlando, Florida, US

• Led the development of a comprehensive roadmap for a team of 3 data scientists and 3 data engineers to extract valuable insights from vast amounts of data for underwriting, portfolio management and Go-To-Market teams.
• Develop data products utilizing a wide range of advanced machine learning techniques (including GLM, Neural Networks, Time Series Analysis, Natural Language Processing, ensembling & unsupervised-learning techniques):
• Led the entire data science lifecycle to successfully build a new machine learning led underwriting process in Python and its data-architecture on AWS, resulting in a remarkable 57% automation rate for credit.
• Architected and built a Natural Language Processing(NLP) project using Spacy and NLTK to de-duplicate >1M entities in the system, leading to improved data organization, accuracy, and risk assessment.
• Created an ensemble of classification and regression predictive models to forecast payment dates and dilution likelihood for unpaid invoices, significantly reducing the operations team's workload by over 70%.
• Generated a new revenue stream for the company by developing a data insights product using PySpark for clients, leveraging client interaction to gather feedback, and improving the product's quality, adding significant.

Leawood, KS, US

• Responsible for managing a team of 2 data scientists as well as working directly with end-users and other executives to improve customer acquisition and retention.
• Achieved a 30% reduction in customer churn by analyzing millions of data points and making a breakthrough discovery.
• Optimized customer acquisition model using ensemble technique in Python, leading to a 5% improvement and generating $7M in revenue. Conducted a controlled experiment to gradually roll out the changes to customers.
• Built machine learning models to predict the lifetime value of prospects and identify customers at risk of churning.
• Used Spark to develop a process to guide sales representatives on the best time to reach out to vendors based on time zones, reducing unanswered calls by 23%.
• Automated vendor acquisition process for businesses earning < $0.5M p.a. with tailored messaging guided by ML signals, in collaboration with the marketing team.

Leawood, KS, US

• Built a machine learning model to identify vendor's cash needs, helping the sales team prioritize their book of business and resulting in a 113% improvement
• Performed signal extraction on machine learning model predictions to improve the existing model and provide reason codes for the sales team's understanding
• Collaborated with the data engineering team to create an automated time series analysis pipeline that forecasts cash flows for over one million vendors, resulting in a 25% more accurate vendor underwriting process and.
• Utilized clustering techniques to segment customers, aiding in building personalized campaigns and improving the sales team understanding of the customer
• Trained a machine learning model to predict the likelihood of a user being a financial decision-maker, optimizing the vendor sales team's effort
• Created a multi-starred Python package used for validating time series model output

Lawrence, KS, US

- Developing project to automate Machine Learning Pipeline to save pipeline development and testing efforts- Responsible for performance testing (using JMeter) and bug fixes Tools: Python, Scikit, cluster, jupyter notebook, MongoDB, matplotlib, seaborn, data analytics, machine learning

Leawood, KS, US

- Built Machine Learning model for time series modeling yielding in better forecasts compared to presently available models in pipe-line.- Part of development team dedicated to build intelligent queuing system for SRMs'.- Built a POC(Proof of Concept) for solving convex optimization problem related to Modern Portfolio TheoryTools: Python, R, scikit.

Bangalore, Karnataka, IN

• Full stack developer; Developed and reengineered efficient & scalable web services for applications used by Apple Inc., also implemented resource access control and handled request authentication as part of web security
• Participated in the design, requirement gathering, testing, and deployment of client/server multi-tier applications

Bangalore, Karnataka, IN

- Successfully completed training on Java, Java EE and Oracle.- Implemented Legacy Modernization, by building a Java Application that interacted with a DB2 Mainframe database.

Ibadan., Oyo State, NG

Gained knowledge in Java Technology and built a Job Portal application.

Chandigarh, Chandigarh, IN

Learnt Core Java,JSP and Servlet and developed a Repository Management.

Master'S Degree, Computer Science

Bachelor Of Engineering (B.E.), Computer Science

Schooling, Non-Medical