Narahari B M

Data Scientist

Bengaluru, Karnataka, India9 yrs 6 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in AI product development across healthcare and insurance.
Proven track record in NLP and machine learning solutions.
Led significant projects in fraud detection and recommendation systems.

Stackforce AI infers this person is a Data Scientist specializing in AI solutions for Healthcare and Insurance industries.

Contact

Skills

Core Skills

Machine LearningNlp

Other Skills

AnalyticsApache AirflowAspect Based Sentiment AnalysisCSSClusteringCustomer Relationship Management (CRM)Customer RetentionCustomer SegmentationDBMSDeep LearningElasticsearchGenerative AIGoogle BigQueryGoogle Kubernetes Engine (GKE)HTML

About

Gen AI-Vision, Medicine image search & AI in e-pharma Previously: Petal Search (Huawei) - Multilingual NLP Deeply motivated by a desire to build AI products. I have previously lead teams for AI and Big Data in Healthcare and Insurance industry (US, UK & Australian firms). Competencies: NLP, Big Data, Computer Vision, Time Series Forecasting, Recommendation Systems, Statistical Modeling, Machine Learning in R and Python

Experience

9 yrs 6 mos

Total Experience

2 yrs 10 mos

Average Tenure

10 mos

Current Experience

Jiohotstar

Staff Data Scientist

Aug 2025 – Present · 10 mos · Bengaluru, Karnataka, India · Hybrid

Flipkart

Data Scientist

Jun 2022 – Jun 2025 · 3 yrs · Bengaluru, Karnataka, India

DS @ Flipkart

Huawei

Lead NLP Engineer

Feb 2021 – May 2022 · 1 yr 3 mos · Bengaluru, Karnataka, India

NLP @ Scale
Multilingual search.

Fractal

2 roles

Senior Data Scientist

May 2020 – Jan 2021 · 8 mos

Data Scientist

Aug 2016 – May 2020 · 3 yrs 9 mos

I spend my time here building end-end machine learning solutions including formulation, model development and deployment pipelines using BigData technologies across Healthcare, Insurance & Telecom industries
Few projects I have worked on:
Fraud Identification in Insurance (NLP, Network Analysis, Information Retrieval)
Information extraction to develop comptetitor intelligence(Aspect Based Sentiment Analysis, NER, Regex)
SKU recommendation for a pharma major(Recommendation System).
Customer acquisition campaign (PySpark, Clustering, Customer Segmentation)
Demand Forecasting (Product Development, CPG)
I am also actively involved in community based projects in Computer Vision domain.
Few use cases:
1. Development of novel convolution to replicate densenets but consume less memory
2. Sign Language Video generation from text using GANs(text to video, DVD GAN, Style GAN)
3. Face recognition system for pet dogs (ArcFace, ReactNative, TensorflowJs)
4. I have also worked on several problems across segmentation, detection, object tracking and Reinforcement Learning