May 2024 – Mar 2025 · 10 mos · Bengaluru, Karnataka, India · On-site

Nov 2022 – May 2023 · 6 mos

• Spearheaded solution design and delivery for 105+ data analytics and AI-driven projects, managing an Order Book Value of approximately $90M USD in FY 2022-23.
• Directed a talented team of 1250+ professionals in a global onshore-offshore setup, achieving a utilization rate of 78%. Our focus spanned delivery excellence, repeat business, and strategic resource management.
• Managed a diverse portfolio of 105+ projects from inception to deployment, ensuring robust solution architecture, risk mitigation, and effective project governance.
• Championed opportunity mining and strategic partnership development, enhancing client engagements and fostering strong, enduring relationships with key stakeholders.
• Developed comprehensive Data Analytics and AI strategies, emphasizing client engagement, meticulous requirement gathering, and tailored project roadmaps for C-level executives.

Oct 2021 – Nov 2022 · 1 yr 1 mo

Dec 2019 – Sep 2021 · 1 yr 9 mos

• Defining the roadmap in collaboration with CXOs, and drive alignment across all partners.
• Defining new offerings / modify existing offerings to suit the needs of clients and sharpen the value proposition.
• Constantly look for ways to transform client business through automation, predictive, prescriptive, and cognitive analytics solutions. Push the edges of possibility, in what one can do with data.
• Facilitate enterprises with better operational decisions, understand customer wants and needs, communicate in real-time, and optimize business processes.
• Grow capabilities and talent to sell and deliver an extraordinary experience for our valued clients and bring to bear Cognitive to transform their businesses.
• Build a team, develop skills and capabilities around areas of Cognitive, grow team strength with balanced utilization.
• Working closely in building partnerships with key ISVs and developing joint programs.
• Run the portfolio of projects and timely interventions to grow profitability and minimize losses
• Travel to engage with clients and teams.
• Provide thought leadership to the industry.

Jun 2015 – Dec 2019 · 4 yrs 6 mos · Bengaluru Area, India

• In my current role at a mid senior position in the organization, I leverage consulting, strategy and business analytics experience gained across major clients, Industries and business specific domains in different geographies to enable the business growth and strategy formulations for clients using data driven insights.
• Few of the key activities in my current role involve-
• Identifying potential business gaps, creating hypothesis, and creating predictive solutions using Machine learning algorithms.
• Leading a team of analysts and delivering the project with a 4-D framework -(Define, Design, Develop, Deploy)
• Creating machine learning based algorithms, recommendation engines, Market mix models, etc
• Collaborating with the client leadership at regular interval of time to seek and channelize the expectations in the deliverables.
• Design and Investigate the business hypothesis around given problem statement and come up with best Industry frameworks to achieve the most effective solution.
• Leading a team of analysts and to deliver predictive and prescriptive solutions.

Apr 2012 – May 2015 · 3 yrs 1 mo · Bengaluru Area, India

• Worked towards helping organization's to solve critical Business Issues, create value, maximize growth and improve their business performance. I leveraged and used analysis and business acumen to provide objective, advice, expertise and specialized skills which the organization may be lacking.The scope of work primarily involves ,
• Carrying out data research and analysis using standard methodologies and process to understand the organization and determine more accurately the root cause of issues.
• Identifying issues and forming hypotheses and determining most effective Industry solutions.
• Preparing Business proposals/presentations and client decks and presenting findings and
• recommendations to clients.
• Implementing recommendations/solutions and ensuring the client receives the necessary assistance to carry it all out.
• Liaising with the client to keep them informed of progress and to make relevant and smart decisions.
• The spectrum of activities that were carried out to achieve the results were customer centric and focused on following- -
• CLTV/MLTV-(Customer/Membership Life time Value) analysis to forecast the effective membership base in near future and the business value expected of the same.
• Sales forecasting for next few months using statistical procedures like ARIMA and ARIMAX modeling techniques respectively
• Customer Profiling and Segmentation of based on transactions data across different generations of customer.
• Engagement Driver Analysis- to identify the Key drivers and triggers to identify and define the journey of a least engaged customer to ultimately become the best engaged customer.

Apr 2010 – Apr 2012 · 2 yrs · Bengaluru Area, India

• Worked for the Life insurance and Online Trading Platform divisions of the organization. The tasks at hand involved working closely with the onsite stake holders and SME's on different products to explore Fidelity Life Insurance (FILI) products as an investment option to clients in varied forms like-
• IRA
• Growth and Guaranteed Income
• Met-life Products
• Fixed Income Products, etc.
• Snapshot of the task and accomplishments at fidelity Investments
• a) Identification and segmentation of high net worth (HNW) clients using statistical algorithms like KNN, K-means, etc
• b) Delivered data driven customer insights on customer - product cohorts in 401 K plans and annuity products across varied segments like Growth and Guaranteed Income, Retirement reserves, High Net worth accounts and insurance products like MLIC/EMLIC,FPRA,FGGI,MGGI, NRR, FPRA-HNW, etc.
• d) Used regression techniques to understand the drivers of customer preferences.
• e) Translated technical requirements and designs into test cases and expected results for System testing of various possible business case scenarios for the Annuity sale, purchase and data management.