Mohit Sharma

CEO

Bengaluru, Karnataka, India15 yrs 5 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Delivered over 70M SEK in AI savings.
  • Expert in advanced AI/ML algorithms and digital transformation.
  • Strong leadership in value realization and AI governance.
Stackforce AI infers this person is a SaaS and Fintech expert with a strong focus on AI-driven business transformation.

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Skills

Core Skills

Value RealizationAi Investment GovernanceAi Strategy & Value RealisationBusiness TransformationMachine Learning AlgorithmsTime Series ForecastingArtificial Intelligence (ai)Feature EngineeringNatural Language Processing (nlp)Financial ModelingMachine LearningData AnalysisBusiness Analysis

Other Skills

Stakeholder ManagementStrategic OKR AlignmentData-driven Decision MakingRisk ManagementPython (Programming Language)Program ManagementProject ManagementMicrosoft Power AppsMicrosoft Power BIExecutive Stakeholder ManagementDigital TransformationAI GovernanceBusiness Case DevelopmentProgram LeadershipData Strategies

About

I am a senior enterprise leader with a foundation in Data Science and applied AI, specialising in value realisation, strategy execution, and portfolio governance within large, global organisations. Over a 15-year career, my scope has evolved from hands-on machine learning, advanced analytics, and data-driven problem solving to enterprise-level investment oversight and value ownership. I have built and deployed predictive models and NLP solutions that delivered measurable revenue and cost impact, and later expanded into enabling executive leaders to translate strategic intent into funded priorities and quantifiable business outcomes. In my current role within a value realisation function at Ericsson, I operate at the intersection of applied AI capability, strategy, and investment governance. I work closely with global business leaders to shape AI and digital business cases, challenge modelling and ROI assumptions, prioritise high-impact initiatives, and maintain transparency across complex, multi-market portfolios. A core part of my work involves strengthening the link between use cases, funding decisions, and operational delivery; addressing common disconnects between technical teams and executive stakeholders. I have led the design and implementation of a real-time value tracking capability that connects machine learning initiatives to financial KPIs, providing leadership with a trusted single source of truth for AI performance and capital allocation decisions. My background in machine learning and data science enables me to combine technical depth with financial rigour , improving decision quality, increasing adoption of AI solutions, and reducing value leakage across transformation portfolios. I have held roles across global organisations including Microsoft, Wells Fargo, and Ericsson, operating in complex, regulated, multi-market environments with senior stakeholders. I am focused on senior leadership roles where applied Data Science, AI capability building, and measurable enterprise value are central to the mandate.

Experience

15 yrs 5 mos
Total Experience
2 yrs 6 mos
Average Tenure
6 yrs 10 mos
Current Experience

Ericsson

4 roles

Sr. Change Lead - Value Realization Office

Promoted

May 2025Present · 1 yr

Stakeholder ManagementValue RealizationStrategic OKR AlignmentData-driven Decision MakingRisk ManagementBusiness Transformation+6

Group Digital Advisor

Promoted

Sep 2022Present · 3 yrs 8 mos

  • Advised senior leadership at Ericsson on enterprise AI and digital transformation strategies.
  • Identified and prioritized high-impact digital and AI use cases to drive business value.
  • Developed comprehensive business cases for digital investments, ensuring clear ROI accountability.
  • Designed an AI Governance framework aligned with OECD AI Principles to enhance ethical AI usage.
AI Strategy & Value RealisationBusiness TransformationExecutive Stakeholder ManagementValue RealizationDigital TransformationAI Governance+4

Lead Data Scientist

Dec 2021Dec 2022 · 1 yr

  • Led the development of a machine learning-driven demand and inventory forecasting system at Ericsson.
  • Enhanced S&OP demand planning accuracy by 7–10% through advanced feature engineering and XGBoost.
  • Built production-ready data pipelines for efficient weekly forecast generation.
  • Collaborated with cross-functional teams to integrate machine learning outputs into operational workflows.
Machine Learning AlgorithmsTime Series ForecastingFeature EngineeringStakeholder ManagementPythonProduction ML Pipelines+4

Sr. Data Scientist

Jun 2019Nov 2021 · 2 yrs 5 mos

  • Led two-stage ML inventory forecasting system predicting 30/60/90-day supply positions
  • Delivered ~70 MSEK realised savings in first hub implementation
  • Scaled solution across hubs with projected enterprise impact ~350 MSEK
  • Built production-grade Python ML pipelines deployed across distributed systems
  • Led cross-functional team of Data Scientists and BI engineers
Machine Learning AlgorithmsArtificial Intelligence (AI)Executive Stakeholder ManagementNegotiationSQLFeature Engineering+3

Microsoft

Data & Applied Scientist II

Apr 2018Jun 2019 · 1 yr 2 mos · Bangalore

  • Built NLP-based topic modelling solution analysing Bing search queries at scale
  • Quantified revenue, click, and impression impacts at topic level using NMF modelling
  • Deployed solution using Cosmos (Hadoop-based infrastructure) and R Shiny dashboards
  • Delivered insights influencing monetisation and search optimisation strategy
Natural Language Processing (NLP)Machine Learning AlgorithmsTopic ModelingArtificial Intelligence (AI)Python (Programming Language)Large-scale Data Processing+2

Wells fargo

Analytics Consultant 4

Nov 2015Apr 2018 · 2 yrs 5 mos · Bengaluru Area, India

  • Developed cross-sell ML model identifying ~750,000 new mortgage customers
  • Applied ensemble techniques (Random Forest, Decision Trees) on large financial datasets
  • Built NLP-based complaint segmentation model using LDA
  • Delivered predictive insights improving revenue targeting in regulated environment
Stakeholder ManagementPython (Programming Language)Data VisualizationFeature EngineeringFinancial ModelingNatural Language Processing (NLP)+3

Ihs

Data Analyst 2

Sep 2014Oct 2015 · 1 yr 1 mo · Bangalore, India

  • Developed ML solutions in automotive domain generating ~$2M incremental revenue
  • Applied statistical modelling to pricing and performance datasets
  • Delivered data-driven forecasting and performance insights
Machine LearningExploratory Data AnalysisSQLSupervised LearningUnsupervised LearningFeature Engineering+5

Tata consultancy services

Sr. Business Analyst

Feb 2011Sep 2014 · 3 yrs 7 mos

  • Delivered analytics solutions across customer segmentation and market basket analysis for UK retailers
  • Designed pricing and promotion optimisation models
  • Supported data-driven decision making across retail clients
SQLCustomer Segmentation StrategyMarket Basket AnalysisPricing AnalysisBusiness Intelligence (BI)Retail Sales Analysis+3

Reliance communications

Sr. sales Executive

Jun 2010Oct 2010 · 4 mos

  • I was responsible for getting the channel partners into the system and was also involved in getting sales from them. This included getting the new prospects for the company and making sure that the relationship with the clients are maintained to the healthiest by catering to his needs on regular basis.
Stakeholder ManagementNegotiation

Education

Kendriya Vidyalaya

Electrical Engg. — Retail Management

Jan 2008Jan 2010

Panjab University

MBA — Retail

Jan 2008Jan 2010

Kurukshetra University

B.Tech — Electrical Engg

Jan 2003Jan 2007

Indian Institute of Science (IISc)

Post Graduate Program - Advance Deep Learning — Deep Learing - LLMs

Jan 2021Jan 2022

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