A unique blend of application development, data engineering and data science experiences during last 10+ years provide me all the knowledge to develop any modern application at scale with a long term vision in mind. I would love to explore some roles which can give me an opportunity to utilize my data science knowledge whole heatedly. I am a former start-up founder, a deep technology enthusiast who believes in delivering quality products on time.
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Staff Machine Learning EngineerCoupangBengaluru, Ka, In -
Lead Machine Learning EngineerKuku Fm Oct 2023 - PresentBengaluru, Karnataka, IndiaRecommendation- Created a recommendation model for newly released shows using SBERT, which outperformed the Byteplus model by 5% based on 7-day averages.- Developed the ALS recommendation model, which became the foundation for most sections in the KUKU FM app. Although we later transitioned to more sophisticated models, this remains the foundational model for most sections in our app.- Through these improvements and comprehensive data analysis, we successfully replaced Byteplus, leading to $20,000 in monthly cost savings.- Currently implementing a two-tower recommendation model for new users, aiming to increase average listening minutes during their first week.Predictive Models- Created a churn prediction model for subscriptions that identifies at-risk users with 95% accuracy, allowing the team to implement targeted retention strategies.- Developed a churn prediction model for the coin business and conducted experiments with likely-to-churn users, which helped improve both revenue and listening engagement.- Led a project predicting ad engagement using SBERT embeddings for scripts and vision models for video content to forecast user pause rates while scrolling through ads. LLM projects- Created an internal tool that helps the business and product ask questions to Kuku FM data through Slack in nautual language. This tool uses NL2SQL technology and was built using Langchain and OpenAI.- Implemented OpenAI to generate dynamic tags from show scriptsOther Projects- Implemented a Learning-to-Rank (LTR) model for coin pack rankings, improving store conversion rates and revenue by optimizing purchase flows.- Created an anomaly detection model using the isolation forest algorithm -
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Manish Kumar Education Details
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Master Of Science - Ms -
Bachelor Of Engineering (B.E.)
Frequently Asked Questions about Manish Kumar
What company does Manish Kumar work for?
Manish Kumar works for Coupang
What is Manish Kumar's role at the current company?
Manish Kumar's current role is Staff Machine Learning Engineer.
What schools did Manish Kumar attend?
Manish Kumar attended Liverpool John Moores University, Siddaganga Institute Of Technology (Official).
Who are Manish Kumar's colleagues?
Manish Kumar's colleagues are Destiny Delgado, Jooyoung Kim, Aditya Modi, Dan Begley-Groth, 박찬석, Simon Kim, Song Jungmin.
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Manish Kumar
Ehs Influencer | M. Tech ( Env) | Pg Diploma Industrial Safety | Esg | Eia | Sia | Lead Auditor Iso | Sustainability Management| Nebosh | Iosh | Brsr | Trainer | Water Audit | Igbc | Usgbc | Energy Audit |Patna -
Manish Kumar
Delhi, India -
Manish Kumar
Start Something Brilliant With Us ! Hiring Right Talent || Talent Acquisition Leader With Experience In Diversified Hiring Across The MarketJaipur -
Manish Kumar
🏆Linkedin Top Voice I Talent Acquisition Leader I Transforming Sales Hr & Building Talent Pipelines For Growth Hacking Success {11K+ Connections} I Successfully Delivered Multiple First In The Industry InitiativesPune3gmail.com, gmail.com, axisbank.com
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