Neeraj kumar

Product Manager

Dubai, United Arab Emirates9 yrs 7 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

9 years of experience in data science and analytics.
Expert in machine learning solutions across diverse industries.
Proficient in managing cross-functional teams and stakeholder engagement.

Stackforce AI infers this person is a Data Science Manager with expertise in telecommunications and advanced analytics.

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Skills

Core Skills

Data ScienceMachine Learning

Other Skills

ANOVAAgile MethodologiesAnalyticsAzure DatabricksBusiness AcumenBusiness Data ManagementBusiness DevelopmentCampaign AnalyticsChurn AnalyticsData AnalysisData AnalyticsDecision TreesFeature EngineeringGoogle BigQueryHTML

About

Data Science Manager with 9 years of experience in successfully implementing advanced analytics, and machine learning solutions in diverse industries. Extensive experience in crafting comprehensive RFP, aligning solutions with client requirements, and showcasing value propositions effectively. Specialized in designing and delivering Minimum Viable Products (MVPs), ensuring rapid prototyping, iterative development, and successful validation of business ideas. Proficient in developing and overseeing end-to-end AI platforms, utilizing regression modeling, decision trees, and predictive analytics techniques. Skilled in orchestrating project deliveries, managing stakeholders, providing data-driven consulting, and leading cross-functional teams. Extensive expertise in Python, SQL,R, Azure, Databricks, PEGA, Tableau, Power BI, and Jira for driving data integration and generating actionable business insights. Developed multiple client proposals, facilitated knowledge transfer sessions, and drove data-informed decision-making within global teams.

Experience

E& uae

Data Science Manager

May 2024 – Oct 2024 · 5 mos · United Arab Emirates · On-site

Managed a cross-functional team of 7 (ML, Campaign Ops & DB) delivering MLB2C CVM 20+ telecom machine learning use cases (Churn analytics, Cross-Sell/Upsell, Campaign analytics) across core and digital products with key KPIs, insights and value propositions.
Enhanced channel footprint alongside improving customer satisfaction, campaign performance, overall revenue, profit margins and enhancing operations efficiency.
Supervised the data transfer, storage and analysis to maintain the data quality, integrity & security.
Strategic guidance and support to team members, helping them streamline the processes and improve efficiency.
Cross-functional team collaboration, stakeholder management across multiple client delivery teams, and weekly engagement with client leadership.

Data ScienceMachine Learning