Data

Description

Training on Data

My relationship with data started off in my first job, when I was involved where I got 3 months training on SQL/PLSQL and managed database for IoT project.

My first value added data work

Thereafter, I got to work and observe the results of managing customer data for SaaS product for various customers for their sales & Operation planning which involved budget planning, financial planning and inventory management. Within this role, I was responsible for data validation, ETL, business logic for data representation and dashboarding for different stakeholders of leadership team. During this period, I worked on SQL studio, O9 platform(a platform for managing end to end supply chain), Excel, and Tableau. I was also involved with forecasting and came across ML/AI capabilities to add value for a customer. I learned a lot about data pipeline, data products and managing data within a product and creating value at each step by reducing pain points of time spent in managing and representing the data in a manner where $Million decisions could be made by the company leaders. especially for the cases, where discrepency in data can lead to wrong decisions. I participated in making data flow efficient and helped my seniors to demonstrate our products. Within this period, I also got trained on ML and AI by learning various models and Algorithms.

Using data to make decision for product management

Once, I was aware of data capabilities, I used it continuously to make my product related decisions in following manner.

1. Strategic Decisions: Utilized data to drive strategic decisions throughout the product lifecycle. For instance, analyzing user engagement metrics led to the identification of high-impact features, significantly boosting user satisfaction and retention.
2. User-Centric Development: Tailored products to user preferences through in-depth data analysis. By decoding user behavior, I optimized features for a more intuitive and satisfying user experience, consistently exceeding customer expectations.
3. Agile Development: Implemented agile methodologies backed by data analytics. Constant monitoring of KPIs ensured agile, responsive development teams focused on delivering impactful features, swiftly adapting to evolving market dynamics.
4. Market Intelligence: Conducted comprehensive market intelligence and competitor analyses using data-driven insights. This strategic positioning, informed by competitive benchmarking and market trends, resulted in successful market penetration and growth.
5. Iterative Optimization: Fostered a culture of continuous improvement through data-driven optimization. Rigorous A/B testing and user feedback analysis iteratively enhanced product features, creating a dynamic and responsive development environment.
6. Cross-Functional Collaboration: Championed data as a universal language across cross-functional teams, fostering collaboration and alignment. Effective communication of data-driven insights ensured synergy among diverse teams and departments.
7. Risk Mitigation: Proactively identified and mitigated risks using data analysis, employing predictive modeling and risk assessment strategies. This foresight ensured smoother product development and launch processes.

With a track record of translating data into strategic success, I am poised to elevate your product strategy and deliver unparalleled results in today’s competitive landscape. Let’s turn your product vision into reality through the power of data-driven excellence!