Adswerve, Inc.

Adswerve demonstrated a significant commitment to my development through a comprehensive, multilayered approach. The foundation was a nine month leadership and coaching program for a small cohort across the organization. This was augmented by personalized guidance from an assigned executive mentor.

To deepen my expertise, the company also sponsored my participation in two specialized programs around data leadership and tech leadership.

The outcome was a shift in my leadership approach, moving from a primarily technical viewpoint to a more holistic one. I gained a robust framework for navigating the complex dynamics of leading technical teams, including facilitating more effective decision-making, resolving workplace challenges and communicating strategic vision with greater clarity.

This experience has directly enhanced my ability to increase team effectiveness and has shaped my professional trajectory, preparing me to lead larger, more complex data initiatives and be a more effective team leader.

Support+ is directly aligned with our three strategic pillars, acting as the digital engine for our growth and client value. Our expert status: We pride ourselves on being a solutions-driven partner. By training the AI on our expert knowledge, we're guaranteeing our top-tier expertise is consistent and instantly available 24/7.

It's the ultimate client commitment. Expanding our tech: We're diving into complex new platforms. Support+ gives us the scalable support backbone we need to launch these sophisticated capabilities smoothly.

If we expand our capabilities, our support needs to expand, too! Building the future: This is a key investment in our AI-enabled services vision. We're actively building the future of client service, which adds big value to our offerings and confirms we are a company that bets big on innovative tech.

My day-to-day tasks range from building pipelines to analyzing datasets to developing machine learning models. We often collaborate with cross-functional teams, which makes us fluent in many verticals of jargon. Whether we are discussing solutions with CXOs, marketing, analytics or technical-savvy folks like ourselves, our ideas are translated seamlessly to provide the best understanding for our clients.

Our tech stack includes SQL, Python, C#, Javascript, Terraform and everything GCP-related. We pride ourselves on being a highly agile team that is able to handle anything thrown our way, quickly adapting to new challenges and finding innovative solutions.

The latest model I am currently working on is a propensity-to-churn model. This model aims to predict which customers are likely to stop using a service within a specific timeframe. The impact of this project is significant — its aim is to allow the company to proactively address customer retention, ultimately improving customer satisfaction and increasing revenue by reducing churn rates.

However, the project presents several challenges. One major issue is managing the imbalance of labels in the data, which must be consistently accounted for. Developing a robust automated pipeline is essential for scaling and monitoring the model.

Ensuring model explainability is also crucial —it allows us to convey our insights to stakeholders in an understandable way. Data science is key to driving critical business decisions; it empowers the company to be at the top of its game and pioneers new growth for the company.

Our team is incredibly diverse culturally and cross-continental, which stimulates open-mindedness and brings forth a wide array of perspectives. This diversity helps us approach problems with a multifaceted lens, leading to more robust, creative solutions.

We have regular knowledge-sharing sessions where team members present their recent work or new techniques they've learned, fostering a culture of continuous learning. Our team also organizes an annual boot camp to bring our fully remote team together where we can connect and strengthen our relationships both professionally and personally.