Sandip Ghosh

Associate Partner

Bengaluru, Karnataka, India11 yrs 2 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Led a team of 10+ data scientists and engineers.
Accelerated patient identification 71 times faster.
Contributed to over a million USD in annual savings.

Stackforce AI infers this person is a Healthcare AI Engineering Manager with expertise in Machine Learning and Natural Language Processing.

Contact

Skills

Core Skills

Machine LearningLeadershipData AnalysisNatural Language Processing (nlp)Predictive ModelingComputer Vision

Other Skills

Activity PlanningArchitectureArtificial Intelligence (AI)Artificial Neural NetworksBERTC (Programming Language)ChatGPTCommunicationConvolutional Neural Networks (CNN)Data AnalyticsData ModelsDatasetsDeep LearningDeep Neural Networks (DNN)Distributed Systems

About

AI Engineering Manager with 10+ years of experience in working on predictive modeling, NLP, ML, Deep Learning in Life Science domain. Skilled in applying Machine Learning models such as text classification, topic modelling, text summary , computer vision on patient journey, clinical trial, complaint management, sales force operation and audit management. Deep learning experience in application of CNN, RNN, LSTM, BERT using tensor flow, AWS ML and GCP ML.Strong professional with a Master of Business Administration (MBA) focused in Marketing from Institute of Management Technology, Ghaziabad.

Experience

11 yrs 2 mos

Total Experience

2 yrs 2 mos

Average Tenure

3 yrs 7 mos

Current Experience

Iqvia

2 roles

Associate Director AI Engineering

Promoted

May 2025 – Present · 1 yr 1 mo · Bengaluru, Karnataka, India · Hybrid

Manager AI Engineering

Nov 2022 – May 2025 · 2 yrs 6 mos · Bengaluru, Karnataka, India · Hybrid

Led a team of 10+ data scientists and software engineers to deliver 3 hybrid and 2 ML projects, reducing project turnaround time from 3-4 months to 3 weeks.
Designed and implemented a ML algorithm for HCV discovery, accelerating patient identification 71 times faster than incidence.
Ideated and implemented a new strategy to identify themes in 13 Asian and African countries across different text-heavy survey data of Global fund allocation.

Large Language Models (LLM)DatasetsManagementDeep Neural Networks (DNN)LeadershipCommunication+18

Johnson & johnson

2 roles

Lead Data Scientist

Nov 2021 – Nov 2022 · 1 yr

Contributed to more than a million USD annual savings in root cause analysis action recommendation by building a text similarity model using Elastic Search on audit data
Designed a question answering platform with multiple stakeholders to retrieve, rank and predict answer from over 800K documents
Led a team of 5 in building a smart assistant platform based on LLM to generate answers on natural language querying on structured data

DatasetsLeadershipCommunicationElasticsearchProblem SolvingMachine Learning+6

Senior Data Scientist

Apr 2020 – Nov 2021 · 1 yr 7 mos

Designed and built an AI backed complaints platform built to give insights about product complain for fast redressal of various defect categories
Collaborated with multiple teams to build a social media analytics platform for 13 brands with a key phrase co-occurrence matrix among other metrics to drive insights about consumer's impression on product ingredients

DatasetsElasticsearchBERTGitNatural Language Processing (NLP)

Cognizant

Senior Associate

Apr 2017 – Apr 2020 · 3 yrs · Greater Bengaluru Area

Expertise in ML, NLP on unstructured data, Predictive Modeling, Incentive compensation, Time-series forecasting and propensity modelling. Deep understanding of Life Science Domain.
Projects undertaken:
1. Predictive modelling and NLP on unstructured data to answer key question on patient journey
2. Complaint handling process automation through machine learning modelling
3. Building analytical platform for incentive compensation for commercial sales force operations
4. Classification of images used in advertisement worldwide into product using Computer vision and AI

DatasetsBERT

Genpact

Analytics Consultant (summer intern)

Apr 2016 – Aug 2016 · 4 mos · Gurugram, Haryana, India

1. Time series forecasting to optimize the bench strength of contact centers serving the BFS industry.
2. Data Analysis to determine the budget allocation of Digital Campaign for a retail firm

Infosys

System Engineer

Oct 2013 – Jun 2015 · 1 yr 8 mos · Bhubaneshwar

 Served as the key point of contact for clients, driving customer calls and handling service escalations
Worked on a migration project where the application was migrated from shell scripts to J2EE
Maintained a time scheduled application, which used to store the log of client's Online Store world-wide
Designed a wire frame of a reporting tool of Apple Online Store
Mentored new recruits in the team through knowledge transfer sessions

Git