Parth Sehgal

1. End to end ownership (Black Diamond Casino Slots),

- Creating product roadmap, and aligning different stakeholders on the same.

- Pre-production of 10+ features: Ideation, competitive analysis, estimated outcomes, tuning strategy and spec presentation.

- Roll-out of features and sharing performance reports with the leadership.

- Managing daily content strategy, experiments and tuning changes.

2. Led implementation of bold-beat feature 'Reprice'. Reprice gave impact of +15% uplift in revenue (over baseline).

1. Led push notification strategy for MX Player and MX Takatak apps:
- Launched automated and scalable solution for push notifications backed by recommendation model.

- More than 2X growth in converted users and ~1% improvement in retention by implementing a more relevant and personalized user targeting.
2. Designed and worked on implementation of multiple HTML 5 based games on MX player gaming platform.
3. Lead partnership management for MX Player gaming platform. Responsibilities include negotiating terms of agreement and collaborating with tech teams from both sides to integrate games and prioritize features. Launched more than 60 games from over 10 partners on MX Player app.

1. Improved platform completion rate by 3% for Auto by Optimizing Allotment, reducing drive app screen clutter, Intrip bookings and understanding zonal preferences for auto drivers.
2. Reduced mismatch (Inaccuracies) in ETAs shown at different levels on app by ~66%. Collaborated with data science for building useful products for the same.
3. Reduction in delivery time for foodpanda by 30% (from~36 mins to ~25 mins) by: optimizing process of choosing best rider for a given order, building a feature for batching and queuing orders, introducing a policy engine to re-allot stuck orders and improving accuracy in position of restaurants and customer locations.

1. Collaborated with data science and business teams to build simulation model that would automate prioritization logic of OLA allocation platform based on feedback from various business metrics. This lead to increased operational profitability of company by ~1% and gross monetary value from cab operations by 2% (35 million INR per week).
2. Impact estimation and tuning optimization for Unicast Allotment which led to 3% (~50 thousand per day) reduction in driver initiated cancellations.
3. Collaborated with data science to build cancellation model using logistic regression leading to decrease in platform cancellations by ~2%.