A

Atish Gautam

Co-Founder

Bengaluru, Karnataka, India14 yrs 7 mos experience

Key Highlights

  • 14 years of cross-industry experience in AI-driven solutions.
  • Led high-impact ML initiatives at Equinix.
  • Expertise in transforming data into strategic assets.
Stackforce AI infers this person is a Data Science and Machine Learning expert in SaaS and FMCG industries.

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Skills

Core Skills

Data ScienceMachine Learning

Other Skills

Continuous Integration and Continuous Delivery (CI/CD)AI for operational efficiencyLLM application architectureDeep LearningStatisticsKubernetesArtificial Intelligence (AI)Google Cloud Platform (GCP)Customers experience analyticsDemand forecasting modelsGenAIML lifecycle automationPython (Programming Language)Natural Language Processing (NLP)MLOps

About

Seasoned Data Science and Machine Learning leader with over 14 years of cross-industry experience in designing, deploying, and scaling AI-driven solutions across sectors including FMCG, telecom, CRM, and industrial manufacturing. Proven expertise in leveraging data to solve complex business problems through advanced modelling, scalable ML pipelines, and AI strategy, consistently delivering measurable enterprise value. At Equinix, currently leading high-impact ML initiatives including customer intelligence systems, predictive modelling frameworks, and LLM-based solutions for sales enablement. Spearheaded the development of ML architectures integrated with CI/CD, MLOps pipelines, and monitoring dashboards that have significantly boosted operational efficiency and business outcomes. Prior experience includes driving AI transformation at Anheuser-Busch InBev, GENPACT, and Marketelligent, leading projects in marketing optimization, predictive maintenance, and NLP-based automation. Deep commitment to technical mentorship, stakeholder collaboration, and continuous innovation in AI applications aligned with business strategy. Expertise spans across Python, cloud platforms (GCP, Azure), MLflow, Docker, and advanced ML frameworks, underpinned by strong leadership in cross-functional team environments. Passionate about transforming data into strategic assets and enabling sustainable growth through intelligent systems.

Experience

14 yrs 7 mos
Total Experience
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Average Tenure
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Current Experience

Ebp global

Lead Data Scientist

Aug 2025Present · 10 mos

Equinix

Lead Data Scientist

Jun 2019Apr 2025 · 5 yrs 10 mos · Bengaluru Area, India

  • Leading complex data science initiatives focused on customer analytics, revenue optimization, and operational efficiency. Architect and implement production-grade machine learning and agentic AI systems using Python, and advanced NLP models including RAG architectures and LLM fine-tuning.
  • Technical expertise:
  • Developed predictive models using gradient boosting algorithms with robust MLOps practices
  • Implemented cloud-based AI solutions on Azure and GCP
  • Built comprehensive data validation frameworks and monitoring systems
  • Designed end-to-end ML pipelines from data ingestion to production deployment
  • Created GenAI applications using vector databases and retrieval-augmented generation
  • Business impact:
  • Significantly improved revenue metrics and customer retention rates
  • Reduced operational costs through predictive maintenance and process optimization
  • Transformed unstructured data into actionable business intelligence
  • Enhanced decision-making through data-driven insights and automated analytics
  • Accelerated business processes through AI-powered workflow automation
  • Provided technical mentorship to junior data scientists and collaborated across engineering, product, and business teams to translate complex requirements into effective AI solutions.​
Continuous Integration and Continuous Delivery (CI/CD)AI for operational efficiencyData ScienceLLM application architectureDeep LearningStatistics+14

Anheuser-busch inbev

Senior Data Scientist

Mar 2017May 2019 · 2 yrs 2 mos · Bengaluru Area, India

  • Optimised promotion strategies using LSTM and regression models; Conducted pricing analysis to drive substantial market share growth and improve promotional ROI.
  • Led technical mentoring and knowledge sharing initiatives for new hires and junior team members, establishing best practices and improving team productivity.
  • Collaborated with marketing and sales leadership to translate analytical insights into actionable business strategies that directly impacted revenue growth.
Data ScienceDeep LearningStatisticsArtificial Intelligence (AI)Statistical Data AnalysisPython (Programming Language)+2

Genpact

Data Scientist

Jun 2016Mar 2017 · 9 mos · Bengaluru Area, India

  • Developed email classification tools using NLP and machine learning techniques that streamlined customer communication workflows and improved response times.
  • Created machine failure forecasting solutions using survival analysis, enabling predictive maintenance approaches that reduced unplanned downtime significantly.
AI for operational efficiencyData ScienceDeep LearningStatisticsArtificial Intelligence (AI)Statistical Data Analysis+4

Marketelligent

Senior Analytics Consultant

Dec 2013Jun 2016 · 2 yrs 6 mos · Bengaluru Area, India

  • Account Expansion (cross-sell analysis), customer attrition analysis, Revenue/Lead forecasting, Customer segmentation & behavior analysis and prospect prioritization using predictive modeling techniques.
Deep LearningStatisticsArtificial Intelligence (AI)Customers experience analyticsDemand forecasting modelsPython (Programming Language)+2

Tata consultancy services

2 roles

Team Lead (Analytics and Insights)

Sep 2012Sep 2013 · 1 yr

  • o Analysing and suggesting the optimum product mix in a retail store for generating maximum revenue for FMCG/CPG clients & retailers.
Statistics

Subject Matter Expert

Mar 2011Sep 2012 · 1 yr 6 mos

  • o MROI – Marketing Mix projects for major FMCG & Telecom clients of Europe, Asia Pacific
  • o Customised SAS based regression models to execute non-standard projects providing solutions to generate better media returns on investment, increase media effectiveness, optimize spending, reduce churners, increase acquisitions etc for a major Telecom client in the Asia Pacific region
  • o Data analysis and Regression modeling: Exploring vast datasets and executing models to aggregate country level data model for analyzing the media strategies and other macro factors like temperature, category sales trends, economic trends, competitor media impact etc. on the sales of the Client’s brand and providing commercially sound recommendations to improve Media ROIs
Statistics

Spikelan infocomm private limited

Cofounder

Feb 2010Jan 2011 · 11 mos · New Delhi Area, India

  • Directed strategic planning, sponsorship acquisition, and execution of multi-city career expos. Oversaw marketing, operations, and business development initiatives.

Education

Inderprastha Engineering College

Bachelor of Technology (B.Tech.) — Computer Science

Jan 2006Jan 2010

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