Ankish Khandelwal Email & Phone Number

Bangalore

• Lead project planning, task delegation, and coordination ensuring successful project delivery within established timelines for Balance Sheet Analytics, Behavioral Modeling, ALM, FTP projects
• Drove architectural decisions and design considerations, ensuring scalability, performance, and alignment with business goals
• Collaborated with clients to understand requirements, provide technical insights, and ensure alignment between technical solutions and client expectations
• Provided technical guidance and leadership to a team of 6 developers, overseeing the end to end development lifecycle
• Created and maintained technical documentation to ensure knowledge transfer and facilitate future development
• Conducted regular code reviews to maintain code quality, adherence to coding standards, and knowledge sharing within the team

Bangalore

• Developed SAS platform to do balance sheet analytics
• Built Analytics platform using R, Shiny, SQL, Docker, Python, Mongo
• Followed Agile methodology during software development life cycle
• Documented the user manual, technical documentation, codebase documentation
• Used Git hub extensively for tracking the developments, bug reporting etc.
• Acquired extensive knowledge in risk management in the process of developing the product

Bengaluru Area, India

• Worked with healthcare clients to build data science solutions to help them efficiently plan their marketing spends based on the available data
• Built predictive models (accuracy of around 78%) to classify physicians into segments leading to 10% Rx lift through Early Adopter Engagement saving 5% revenue loss
• Pitched healthcare clients for analytics needs by developing a working POC in R shiny in 2 days
• Proficient with R Programming, SQL Server, Data Bricks, PySpark, Python Programming, Excel
• Presented the findings of the ml models and advised on solutions to clients

Bengaluru, Karnataka, India

• Developed Customer Care Application in Pega software to remove inefficiencies in customer complaint resolutions and customer retention ratio increased by 5%
• Designed interactive UI dashboards & backends in Pega for better interaction with the customers
• Built recommendation engine to recommend offers to the customers
• Handling Code migration activities to other environments