Mohammed Zabeeulla

Experience

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  Toyota Kirloskar Motor

  Aug 2013 - Aug 2014

  Diploma Apprentice Trainee

  Was allocated to the Quality department with daily tasks being In process audits of End to End production process involving Assembly, Weld shop, Sheet metal Press, Paint, and Material supply. performed Rot cause analysis and investigations on errors occurred at both in premise and at the field.

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  Toyama Electric Ltd (tye)

  Nov 2014 - Aug 2015

  Process Engineer

  Process engineer tasked to optimize the various departments of production unit through process study and waste reduction. Was responsible to generate efficient daily production plan for the unit which included the Injection molding, Metal press, and assembly through analysis of various factors including stock in hand, capacity, orders, and Just in time.

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  Mu Sigma Inc.

  Jul 2018 - Sept 2021

  Decision Scientist

  Supply Chain Reporting:Responsible to Optimize the Reporting layer of the Supply chain department for Fortune 50 clients by 1. Monitor and Maintain the Data integrity and quality at the client's end through Math, Tools, and Technologies. 2. Create new Dashboards, Reports & Data Assets consumed by Leadership for high impact business decisions3. Optimize the lagging reports and queries that consume unnecessary resources 4. Consolidate, decommission, and Integrate data assets and reports.5. Assist the business in all types of requirements right from fixing pipelines, reports. creating new solutions, Automating projects, eliminating/reducing manual interventions etc..6. Adhoc data analysis for different operational and business requirementsAdvanced Analytics and Advanced Engineering:Responsible to engineer data streams along with creating Data Governance and metadata management solutions. highlights on few projects below1. Developed a holistic solution enabling effective management of metadata across reports and data assets. Enabled quick information access with significant reduction in erroneous business decisions2. Syntactic and Semantic Decoder Validator: Orchestrated fraud detection by developing a real time data validator which detects anomalies & irregularities through streaming data & profiling the output in relevant categories. Helped identify Mac Clones, eliminated manual errors and saved 99.9% of Man days required to decode dataAdditionally responsible to assist the team members, train new members to bring up to speed and enable a closed loop interaction across team Show less

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  Bharti Airtel

  Sept 2021 - now

  Senior Data Analyst

  Platform Analytics: Currently leading analytics for Buy Platform & Serve Platform, these platforms are the core lifeline of business and house numerous products supporting everyday business operations1. Buy Platform - Promotions & Propositions: Aims to achieve target scalability, Goal-based and Rule-based targeting. Also drastically reducing the Time to Market different promotions a. Responsible for end-to-end Analytics & Data requirements including Target identification, Pre-Postcampaign Analysis, Dashboards, Reports and Data engineering. b. Designing a framework to enable overall platform health and promotion performance monitoring2. Serve Platform – Case Management & Interactions: Aims towards quick& accurate service to ~350Mn customers by leveraging techniques like text processing, TTS, STT, AI etc. to reduce the lead time to serve customers a. Currently, defining the success metrics and analytics roadmap for the charterData Science Products - Analytics: Helped the DS products to go live 1. App Personalisation: Worked towards identifying Control-Target groups & successfully conducted GTMs(Go to market) analysis and aided the launch of the DS affinity model. a. This resulted in constant ~3% MOM Daily Active users growth, enabled new section discovery b. Also enabled the traffic concentrated on the Home page to be distributed to all sections of the app.2. Cross-Sell & Up-Sell: Aimed towards bringing the customer into a higher ARPU group by upgrading the plan or shifting to a more relevant product. a. Designed a simple solution with scalable rules for NBA - Next Best Action for each subscriber. b. Performed GTMs and Benchmarked the DS product Affinity products against the top-performing heuristic Cohorts3. Customer Network Experience: Aimed towards proactively fixing issues by identifying the customers with poor network experience and in turn reducing churn. Worked with the DS team in identifying the key factors and GTMs Show less