• Collaborating on development of in-house LLM based code translator product 'Code Harbor' leveraging research papers on Star Coder, Llama, GPT etc
• Co-developed and designed production grade credit risk models for regulatory capital and impairment (PD, EAD and LGD) using Agile methodology and also reconciled and reviewed them for their validity, theoretical consistency and implementation accuracy.
• Created re-usable assets like automated data lineage, compare datasets tool for wider use and advocated best practices within modelling team.
• Led the development of Data science solutions, built relationship with internal and external stakeholders, and ensured the delivery of solutions aligned to the business objectives like customer acquisition, growth in engagement metrics.
• Created a successful dashboard on PowerBI for a leading payment solution provider, reducing their lead time to create monthly reports from couple of days to 4 man-hours.

• Automated the internal decision-making process to achieve 60% conversion rate and journey time of 3 days credit approval process in the Start Up Loans department of the bank
• Creating and maintaining policy rules by analyzing fraud and credit rating variables data available from credit searches.
• Leading the project to cleanse the legacy data and loan book to increase the time efficiency of the month end reporting and automate reports generation process.
• Development of the affordability and decision engine to be integrated with CRM for the shorter and smooth customer journey in line with the risk appetite of the bank.

• Successfully led the data management initiative to ingest 100% Counterparty credit risk data into Hadoop data lake using daily Sqoop jobs from Murex and Murex MLC server with zero latency and 98% error free rate.
• Achieving 99.99% availability rate of counterparty exposure, utilization and contributions data for end user's consumption using data pipelines and dashboards.
• Reduced the turnaround time from 20 hours to 15 mins for access to historical transactional data for internal & external audit purpose using the in-house query tool.

• Achieved 40% reduction in use of modded apps by undertaking FakeGPS Detection project which leveraged machine learning on different data sources like Spatial information, Browser information, OS information, Temporal information.
• Reduced identity fraud by 70% at Driver Platform using Google Cloud's Vision OCR (optical character recognition) and parsing identity data.
• Created rules using user segmentation, data driven analysis, statistical significance to feed into real-time decision engine.
• Understanding data architecture and design to implement best practice for preventing operational fraud, risk scoring, and compliance related to Go-Jek Products.

• Spearheading the data science and analytics initiative to optimize business processes and improve operational efficiency by using quantitative methods to derive actionable insights and outcomes from data and create deliverables to present to SMT.
• Extract Data from multiple databases and create integrated tables to build the dynamic Material Lead Time Prediction System for efficient Material Resource Planning and Manufacturing planning.
• Worked on large and complex data to forecast spares demand to address the problem of Material Obsolescence.

• Text Analytics Project: Worked on the companies description data scraped from the web, cleaned the data for analysis and applied Natural language Processing techniques on the scraped data and to classify companies based on their description into AON pillars, categories and sub categories to develop a proprietary AON dashboard to help Management team to achieve corporate goals.
• Customer Analytics POC Project: Analyzed the transaction data of the leading AON client, to identify the opportunities for predictive modelling, finding relationship between given data variables and KPI's and deriving pattern from the data and showcasing all them in Tableau dashboards to maximize the value of analysis for client.

• Contributed to training need analysis project for internal employee development where given the skills required, per person available training days and the cost and duration of the training. We were required to optimize the training calendar.
• Contributed to create necessary MI as and when required by extracting the data from SAP business Objects and SQL Server and transforming and manipulating it as per the requirements.

• Worked to the operational analytics project to optimize the productivity of the front desk executives to come up with incentive calculation structure.
• Worked on the development and testing of Learning Management System for one of the world's largest IT equipment manufacturer using C++, JS and writing test cases on HP Quality Centre.
• Administration of the Salesforce CRM to develop and customize forms and reports to be used across different project teams.