N

Nishanth U.

AI Researcher

Bengaluru, Karnataka, India18 yrs 11 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Expert in building generative AI products.
  • Led data science initiatives across multiple domains.
  • Proficient in advanced statistical modeling techniques.
Stackforce AI infers this person is a Data Science expert with a strong focus on AI and optimization in various industries.

Contact

Skills

Core Skills

Machine LearningData ScienceOptimizationStatistical ModelingSoftware DevelopmentSignal Processing

Other Skills

AI agentsARMAdaptive LearningAlgorithmsBayesian InferenceBayesian NetworkBig DataClick Fraud DetectionCustomer ExperienceDeep LearningFirmware EngineeringGSM/3G Baseband AlgorithmsGenerative AIHIVEHigh Performance Computing

About

Data scientist with experience in machine learning, deep learning, optimization, mixed integer programming, Monte Carlo methods, time series forecasting, Bayesian inference, signal processing, big data technologies and software development. Worked in domains like retail, ecommerce, edutech, adtech, telecom/semiconductor, healthcare, energy.

Experience

Freshworks

Sr Manager AI/ML Labs

Jan 2021Present · 5 yrs 2 mos · Bengaluru, Karnataka, India

  • Building generative AI products and AI agents using large language models.
Large Language Models (LLM)Generative AIAI agentsMachine LearningData Science

Medlife.com

Director - Data Science

Apr 2020Dec 2020 · 8 mos

  • Heading company-wide data science initiatives in supply chain, revenue, personalization and customer experience.
Data ScienceSupply ChainPersonalizationCustomer ExperienceOptimization

Lowe's india

Lead Data Scientist

May 2018Mar 2020 · 1 yr 10 mos

  • Mixed integer programming, deep learning, Spark ML, scalable applications in the area of pricing, promotions, digital, merchandising.
Mixed Integer ProgrammingDeep LearningSpark MLScalable ApplicationsMachine LearningOptimization

Amazon

Senior Data Scientist

Dec 2016Apr 2018 · 1 yr 4 mos

  • Traffic Quality - click fraud detection in real time and offline mode using ML models (Spark/Scala, R, Python). Also contributed to setting goals and roadmap for the Sponsored Products team.
Click Fraud DetectionML ModelsSparkScalaRPython+2

@walmartlabs india

Senior Statistical Analyst / Associate Data Scientist

Apr 2015Dec 2016 · 1 yr 8 mos · Bengaluru, Karnataka, India

  • Weather driven demand forecasting. Automatic time series modeling. Simulation based statistical optimization. Pricing, elasticity and markdown optimization. R, Spark, HIVE.
Weather Driven Demand ForecastingTime Series ModelingStatistical OptimizationRSparkHIVE+2

Snapwiz

Senior Data Scientist

Apr 2014Mar 2015 · 11 mos · Bengaluru, Karnataka, India

  • Adaptive learning using Rasch, IRT and Continuous Response Models. Bayesian network for prerequisite and aggregate relationship of skills using Neo4j. Performed bayesian inference for knowledge state in JAGS and PyMC. Dashboards using Shiny and Tableau.
Adaptive LearningBayesian NetworkBayesian InferenceShinyTableauMachine Learning+1

Siemens technology india

Associate Consultant / Consultant

Aug 2010Mar 2014 · 3 yrs 7 mos

  • Prototype, design and development of a simulation tool for off-shore windfarms using Monte-Carlo methods. Time series analysis, forecasting using R. High performance computing - multicore and GPGPU.
Monte Carlo MethodsTime Series AnalysisHigh Performance ComputingOptimizationData Science

Infineon technologies

Software Engineer

Jul 2006Mar 2010 · 3 yrs 8 mos

  • Analysis and development of GSM/3G baseband algorithms for Software Defined Radio solution on massively parallel architecture. Also worked as firmware engineer for bluetooth HCI.
GSM/3G Baseband AlgorithmsSoftware Defined RadioFirmware EngineeringSoftware DevelopmentSignal Processing

Education

National Institute of Technology Karnataka

Bachelor's degree — Electronics and Communication

Jan 2002Jan 2006

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