Bhramar Chandrakar

• Focused on enhancing end user computing product experience by driving programs & collaborating with product managers & C-suite to identity bottle necks in product development and design flows
• Manage KPI reporting & development & mitigate end to end reporting errors in the data flow from API logs to data mart & dashboards
• Partner with data engineering to deliver AI-based self-service reporting tools, reducing turnaround time for ad hoc data requests and improving data access for product managers and executives.
• Maintaining and designing data mart for the Horizon Cloud Team reporting requirements - Migrated a catalog of ~50 tables from old data lake to new within a tight deadline of a month
• Developing and maintaining Tableau dashboards & Tableau Server for the BAU & QBR metrics reporting - Migrated a catalog of ~ 15 complex Tableau dashboards to new Tableau Server while working on development for 5 new dashboards requirements simultaneously while performing other program duties
• Working on customer churn prediction for customer migration from product legacy version to new version - Helped in recognizing churn pain points in customer migration flow

• Focused on enhancing end to end customer experience by driving customer intent level insights to address issues and pain points - Improved CSAT score for digital channels by 5-10%
• Provided actionable insights through comprehensive reports and dashboards, supporting strategic initiatives on key programs and CX metrics to leaders and stakeholders - Developed MIS dashboards and digital channel dashboards for C-suite and program managers' consumption
• Integrated multiple sources of disparate data into cohesive datasets using ETL processes, improving overall analytic capabilities - Built self-serve data pipelines for analysis & reporting on Microsoft SSIS & Azure Data Factory

• As BI Lead in fin-tech company was responsible for automating processes, enabling data pipelines, maintaining & tracking BI and reporting universe consumed directly by C-Suite - Decreased MIS reporting errors & delays by 50% with optimized database performance, implementing indexing strategies and partitioning techniques to reduce query times
• Lead team of data analysts to drive initiatives with focus on driving insights on short & long term initiatives - Leading regular analysis projects in alliance with campaign management team, cohort reporting team & fraud analytics team
• Tending to company leadership & working closely & collaborating with multiple stakeholders across business pods - Providing reports and analysis on ad-hoc requests for vital business decisions
• Contributed to overall organizational growth through continuous improvement of data analytics capabilities and processes - Contributed in migration effort with data engineering team to move backend engine from HIve2 to Hive3

• Working as senior analyst in service industry worked both as individual contributor and team player on diverse catalog of projects
• Mentored, lead & trained incoming and in house analysts
• Direct touch point to clients from initial requirements gathering, scoping, implementation, deployment and documentation
• Client handling exposure comprising list of industries like gaming, e-commerce, travel, pharma, automotive, retail, mass media.
  

Notable accomplishments:

• Improved retention rate by by 2-3% for gaming client
• Reduced return rate for e-commerce client by 2-3 basis points
• Migrated complete ETL flows of automotive client to on-prem cloud

• Joined as member of first batch of recruits for data science COE in big data services & consulting startup
• Collaborated across teams on high impact reporting and data modelling projects
• Exhibited quick learning and agility, working on high value projects, while designing proof of concepts - Gained quick learning on SAP suite of products for reporting and business intelligence requirements
• Was soon moved as individual contributor to full time projects for overachieving - Converted 3 POC projects to full time contracts