Rahul Krishnan
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Rahul Krishnan Email & Phone Number

Principal AI Product Manager at Schneider Electric
Location: Bengaluru, Karnataka, India 7 work roles 3 schools
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Current company
Role
Principal AI Product Manager
Location
Bengaluru, Karnataka, India
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Rahul Krishnan is listed as Principal AI Product Manager at Schneider Electric, a with 68257 employees, based in Bengaluru, Karnataka, India. AeroLeads shows a matched LinkedIn profile for Rahul Krishnan.

Rahul Krishnan previously worked as Product Manager II at Flipkart and Product Manager I at Flipkart. Rahul Krishnan holds Post Graduate Program In Management, Operations And Marketing from Indian School Of Business.

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Schneider Electric

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Profile bio

About Rahul Krishnan

Aspiring Product Manager with a Master' Degree in Business Administration and 4.5 years of work experience in the Automotive Industry developing Radar based Driver-Assistance products (ADAS).

Listed skills include Matlab, Electrical Engineering, C, C++, and 16 others.

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Schneider Electric
Schneider Electric
Principal AI Product Manager
paris, île-de-france, france
Employees
68257
AeroLeads page
7 roles

Rahul Krishnan work experience

A career timeline built from the work history available for this profile.

Principal Ai Product Manager

Current

Bengaluru, Karnataka, India

Sep 2023 - Present

Product Manager Ii

Bengaluru Area, India

User Insights and User Targeting:1. Affluence based Personalisation in the shopping funnel- Collaborated with data scientists to develop a machine learning model for predicting user affluence- Defined and drove key metrics for measuring signal level improvements such as inter and intra cohort distance- Managed the product roadmap and prioritisation process with cross functional teams to ensure the product development cycle for the signal is aligned with business goals and customer needs.2. Customer Lifetime value based ranking on Homepage- Analysed customer data and repeat rates to identify the opportunity for long term GMV optimisation- Owned the product roadmap for building a customer lifetime value insight which predicts the long term GMV impact of a given ranking outcome in e-commerce and incorporating it into product ranking on homepage- Conducted extensive user research to understand customer needs and preferences, resulting in the development of a more personalised and relevant CLV prediction- Collaborated with cross-functional teams, including engineers, data scientists, and peer product managers, to ensure the successful implementation and integration of the insight into the existing product platform3. Gender based Personalisation in the shopping funnel- Identified the key platform need to improve women cohort coverage to aid gender based personalisation via customer FGDs and secondary research- Collaborated with data scientists to create a Deep Learning fusion model which predicts gender as a combination of browsing behaviour and user profile information- Owned the e2e execution with Data science and Engineering and drove the adoption across systems via A/Bs on user path following Agile methodology for execution and quicker iterations

Apr 2022 - Aug 2023

Product Manager I

Bengaluru Area, India

Supply Chain (Post-Delivery)1. Post order Slot selection and orchestration for Installation - Identified the need for scheduling Installation by analysing Customer surveys data, Customer Reschedule and Breach data- Designed and managed the development of Slotted Installation user journey and liaising with UI teams for creating the User journeys on Customer facing interfaces- Owned complete pan-India rollout of the construct for BBD’21 by liaising with multiple cross-functional teams2. Automated Demand-Supply matching (Allocation Engine)- Researched multiple supply models and conducted extensive user studies with Freelancers and Competitor analysis to finalise requirements- Developed the product roadmap for an adaptive Allocation framework which caters to the variations in Freelance service technician based model vs Own technician model- Shipped the MVP for Auto allocation for optimal allocation and execution of service tickets by leveraging an open source constraint solver framework- Scaled up to 100% pan-India coverage within 3 months and uncovering insights for future features by conducting FGDs and 1:1 interviews with Field operations team- Drove adoption of Allocation Engine pan-India and evangelised key L0 metrics periodically with Leadership team3. Returns experience enhancements for customers during Tech Visit- Identified interventions needed to improve Returns experience at Tech visit via Customer experience studies- Designed and built an OTP based handshake for Tech visits to eliminate fake closures on Returns journey- Revamped Transactional communications in collaboration with the Order Management team for helping customers understand the Tech Visit Outcome in a clear and simpler form

May 2019 - Apr 2022

Graduate Student

Hyderabad Area, India

-> National Finalist – IIM Ahmedabad (8th/1076+ teams): “PM Live Challenge” – Product Management Event - Designed an online platform to leverage Google Shopping for enabling Indian offline retailers to sell products online - Proposed Gamification based features for increasing User Engagement and reducing customer churn for Cult.Fit app - Conceptualized Machine Learning based features to integrate data from Fitness devices into the Cult.Fit user experience-> National Winner – IIM Bangalore (1st/1085+ teams): “Optimus” – Operations and Supply Chain Management Event - Formulated strategy to maximize profit and achieve high operational efficiency for a simulated multi country supply chain-> Certified in Product Management (NASSCOM); Lean Six Sigma Green Belt (KPMG)

Apr 2018 - Apr 2019

Embedded Software Engineer

Bengaluru Area, India

Experience of working in the Automotive industry. Worked on Software Development and Design of Adaptive Cruise Control System in the area of Radar Based Driver Assistance Systems for Customer projects with:1. Honda2. Mercedes-Benz3. Audi/VWAs part of this job I work as part of a team developing advanced driver assistance systems and autonomous driving in the areas of specification, design, implementation, and testing of ADAS functions (e.g. Adaptive Cruise Control etc). Some of the Product Development and Systems Engineering activities are as follows:• Working closely with customers and application team at Robert Bosch Gmbh, Leonberg (Germany) for 3 months(Onsite) as well as part of the Offshore team in India.•Design, Implementation and testing of state machines and sensor communication interface•Design and implementation of human machine interface in vehicle ECUs •Support safety analysis of advanced driver assistance and autonomous driving functions•Design of embedded control systems for the various functionalitiesSkill-set:•Software Development in Embedded C•Knowledge of driver assistance sensor technologies and functions as well as vehicle electrical architecture•Good communication skills to discuss issues / solutions with team and external customers•Capable to work independently in an organized and structured fashion•Involvement in-vehicle test activities•Experience with Vector tools such as CANape and CANalyzer•Experience with designing state machines and scalable software architecture•Experience with automotive communication protocols such as CAN•Experience with planning, conducting, evaluation and documentation of test results•Knowledge in automotive systems including driver assistance technology, controltheory as well as autonomous driving systems.

Sep 2013 - Apr 2018

Student

Vellore Area, India

Student of Electrical Sciences.->Rank 1 in School of Electrical Engineering in 2009->Coordinator for Paper Presentation in GraVITas 2012

Jun 2009 - May 2013

Summer Trainee

Calcutta Electricity Supply Corporation

Kolkata Area, India

Intern at Substations Department

May 2010 - Jun 2010
Team & coworkers

Colleagues at Schneider Electric

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3 education records

Rahul Krishnan education

Education record

Don Bosco School
FAQ

Frequently asked questions about Rahul Krishnan

Quick answers generated from the profile data available on this page.

What company does Rahul Krishnan work for?

Rahul Krishnan works for Schneider Electric.

What is Rahul Krishnan's role at Schneider Electric?

Rahul Krishnan is listed as Principal AI Product Manager at Schneider Electric.

Where is Rahul Krishnan based?

Rahul Krishnan is based in Bengaluru, Karnataka, India while working with Schneider Electric.

What companies has Rahul Krishnan worked for?

Rahul Krishnan has worked for Schneider Electric, Flipkart, Indian School Of Business, Robert Bosch Engineering And Business Solutions Ltd., and Vit University.

Who are Rahul Krishnan's colleagues at Schneider Electric?

Rahul Krishnan's colleagues at Schneider Electric include Fernando Farfan, Mason Smith, Tina Bowe, Roderik Veyt, and Majjare Hari Kumar.

How can I contact Rahul Krishnan?

You can use AeroLeads to view verified contact signals for Rahul Krishnan at Schneider Electric, including work email, phone, and LinkedIn data when available.

What schools did Rahul Krishnan attend?

Rahul Krishnan holds Post Graduate Program In Management, Operations And Marketing from Indian School Of Business.

What skills is Rahul Krishnan known for?

Rahul Krishnan is listed with skills including Matlab, Electrical Engineering, C, C++, Programming, Microsoft Office, Pspice, and Labview.

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