Bhadriraju Gowtham Harsha
With close to a decade of experience at the intersection of data, business strategy, and technology, Gowtham brings a strong blend of analytical rigor and collaborative problem-solving to the table. He had the opportunity to work across diverse industries—e-commerce, AI product companies, real estate, FMCG, and IT consulting—delivering data-driven insights that create measurable business impact. Believes meaningful change happens when data is not just analyzed but understood, contextualized, and acted upon collaboratively. Enjoys connecting with people, exchanging ideas, and exploring how his expertise can help shape smarter, scalable solutions. Outside of work, enjoys long drives, reading non-fiction, or occasionally unwinding with a PlayStation session. Wellness—both physical and mental—is something he actively keeps up with. Genuinely enjoys meaningful conversations and would love to connect to explore how his experience can help create lasting impact.
Work Experience:
10 Years
Industry:
Function:
Amazon
- Gowtham has broad experience across multiple sectors in leading analytics teams and managing comprehensive data projects Delivered valuable insights through advanced statistical models forecasting and visualizations to support client operations and business growth Roles have included significant leadership responsibilities stakeholder management and mentoring junior professionals to enhance team capabilities and project outcomes
- It includes collaborating with product science and technology teams at Amazon to analyze shipping forecast algorithms and develop dashboards that improve operational performance
- At Netradyne the focus was on building anomaly detection frameworks predictive algorithms and leading data analytics team to deliver datadriven solutions for global clients
- At Meritus Intelytics now Accordion the contribution centered on developing forecasting models reporting frameworks ML backed customer segmentation strategies to support FMCG and real estate businesses
- Earlier experience at Infosys involved optimizing largescale Java applications and improving energy trading platforms while at the Bank of India responsibilities included managing highvalue transactions and preventing potential NPAs through data regularization