Pavan Appaiah N

Consultant

Bengaluru, Karnataka, India10 yrs 4 mos experience
AI ML PractitionerAI Enabled

Key Highlights

  • Expert in developing scalable data-driven solutions.
  • Proficient in machine learning and NLP applications.
  • Strong background in programmatic advertising technologies.
Stackforce AI infers this person is a MarTech expert with a strong focus on data-driven advertising solutions.

Contact

LinkedIn

Skills

Core Skills

Data ScienceMachine LearningData Architecture

Other Skills

DatabricksPySparkNLPStatistical ModelingRecommendation SystemsDOOH SolutionsRetail Media NetworkAudience TargetingMeasurement FrameworksETL SystemsStatistical ModelsBusiness IntelligencePythonInformaticaData Modeling

About

Experienced in developing scalable, data-driven solutions using Databricks (PySpark) and machine learning within the programmatic advertising ecosystem. Focus areas include: NLP-based recommendation systems Custom bidding strategies using statistical modeling Margin optimization tools for programmatic trading DOOH and attention measurement frameworks App recommendation engines CPG commerce insights and activation tools Budget allocation and planning using Marketing Mix Modeling (MMM) Skilled in designing and deploying end-to-end pipelines that convert raw data into intelligent, production-ready systems driving efficiency and performance in digital marketing operations.

Experience

10 yrs 4 mos
Total Experience
6 yrs 5 mos
Average Tenure
3 yrs 11 mos
Current Experience

Miq

2 roles

Senior Consultant

Promoted

Apr 2025 – Present · 1 yr 1 mo

  • Leading Commerce, Social, Amazon Retail Media Network Capabilities, (AMC , Planning, Activation, Measurement) Endemic and Non Endemic Solutions !
  • Shaping up LATAM Product practice, data partnerships, ramping up Commerce, Context and TV verticals

Consultant

Jun 2022 – Apr 2025 · 2 yrs 10 mos

  • Developing cutting-edge products in R&D labs, crafting product roadmaps, and delivering innovative end-to-end solutions for Programmatic Digital Marketing using Databricks (PySpark, Data Science) to meet client and company objectives. Creating products that are forward-thinking and resilient to challenges.
  • Expertise in architecture, recommendation systems, attention-based futuristic solutions (insights, measurement, activation), app recommendation systems (multi-DSP activation), and internal intelligent tools for margin improvement (utilizing Adsafe, DSP LLDS, and custom designs).
  • Providing comprehensive DOOH solutions, including accurate footfall measurements, complete reach, display coverage, and audience targeting solutions.
  • Offering retail media network and commerce CPG insights and activation solutions for the US market, including NLP-based segment recommendations, user last touchpoint-based keyword analysis, and targeting strategies.
DatabricksPySparkData ScienceNLPStatistical ModelingRecommendation Systems+3

Accenture in india

4 roles

Application Development Team Lead

Promoted

Jan 2022 – May 2022 · 4 mos

  • Leading a squad of 12 members ,working as a consultant for Application modernization and design team, take cognisance of client challenges and design innovative solutions in the ETL systems using ML/Statistical models.
ETL SystemsMachine LearningStatistical ModelsData Science

Application Developer Senior Analyst

Nov 2019 – Dec 2021 · 2 yrs 1 mo

  • Responsible for:
  • Working in Business Intelligence and Analytics team to provide Pro-active designs for system enhancement.
  • Building automation and innovations applying data science techniques to enhance the system.
  • Work based on Data science and machine learning using Python, Oracle PL/SQL , Unix , Informatica to build tools which enhances the system experience.
Business IntelligenceData ScienceMachine LearningPythonInformatica

Software Engineer

Promoted

Apr 2017 – Oct 2019 · 2 yrs 6 mos

  • Responsible for :
  • Data Modelling , Data Architecture , Short track and medium track GDPR agile projects
  • Managing eight member team of Application maintenance .
  • Maintaining SLA , KPIs , reduction is incident influx , quick turn around time .
Data ModelingData ArchitectureGDPRApplication MaintenanceData Science

Associate Software Engineer

Oct 2015 – Apr 2017 · 1 yr 6 mos

  • Responsible for :
  • Application operations , making sure SLA jobs are completed on time
  • All KPI checks and operational issues are fixed on time.
  • Ontime Data delivery for business users
Application OperationsData Delivery

Education

International Institute of Information Technology Bangalore

Post Graduation Diploma in Data Science — Business Intelligence

Jan 2019 – Jan 2020

The National Institute Of Engineering, Mysore

Bachelor of Engineering (B.E.) — Electronics and communication

Jan 2011 – Jan 2015

Vidyanikethana Pre-University College, Coorg

Physics

Jan 2009 – Jan 2011

Kavery School Coorg

Jan 2003 – Jan 2009

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