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Ashish Gupta

@ashishgupta5

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Lead Data Scientist delivering AI-driven audience creation, predictive modeling, and measurable revenue impact.

India

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What I'm looking for

I seek roles where I can build production ML/AI systems, lead cross-functional teams, and deliver measurable business impact in data-driven product environments.

I am a Lead Data Scientist with nearly nine years of experience building AI applications, predictive models, and scalable data pipelines to drive measurable business outcomes. I specialize in audience creation, low-latency systems, and production ML that directly improves revenue and efficiency.

At Samsung R&D I built an agentic AI application for audience creation that reduced creation time by 95%, developed models to predict household age demographics and ad-auction win probabilities, and scaled audience segmentation by 30% to boost ad revenue. I also redesigned extraction pipelines to reduce storage footprint from 320 PB to 100 PB while maintaining data integrity.

I combine strong engineering with applied research—deploying PySpark, Streamlit, Snowflake, and real-time inference systems—while emphasizing collaboration, feedback-driven optimization, and delivering solutions that translate into significant revenue and operational improvements.

Experience

Work history, roles, and key accomplishments

Current

Lead Data Scientist

Current

Samsung R&D Institute India

Sep 2022 - Present (3 years 3 months)

Built AI applications and ML models for audience creation and ad optimization, scaling audience segmentation by 30% and enabling predictive age-group targeting that contributed to $40M revenue uplift; reduced audience creation time by 95% and improved audience optimization feedback by 98%.

Machine Learning Pyspark Streamlit Snowflake Segmentation Real Time Bidding AWS

Lead Data Scientist

Accenture Applied Intelligence

Aug 2021 - Sep 2022 (1 year 1 month)

Built end-to-end pipelines for sentiment analysis and real-time prediction, developed an object detection model for food identification, and created Power BI dashboards for validation and ROI analysis across marketing and analytics projects.

NLP Object Detection Power BI Snowflake TensorFlow PyTorch Real Time Prediction SQL Real Time Predictions

Data Scientist

Onward Technology

Sep 2019 - Aug 2021 (1 year 11 months)

Automated causal area classification for automotive defects, developed NLP pipelines and regression models to predict defects per unit, and applied ensemble methods and time-series techniques for industrial analytics.

NLP XGBoost Naïve Bayes Time Series regression Python

Data Scientist

Tata Consultancy Services

Sep 2015 - Jul 2019 (3 years 10 months)

Worked on predictive analytics and pattern recognition for power plant and automotive projects, implementing KNN, regression and dimensionality reduction to optimize turbine efficiency and model sensitivity.

K NN regression Dimension Reduction Predictive Analytics Python Optimization Sensitivity Analysis

Education

Degrees, certifications, and relevant coursework

PGP Machine Learning (coursework)

Post Graduate Program, Machine Learning

2019 - 2019

Activities and societies: Coursework: Introduction to Python, Applied Statistics, Supervised Learning, Unsupervised Learning, Ensemble Learning, Recommendation Systems, Time Series.

Completed a postgraduate program focused on machine learning topics including supervised, unsupervised, ensemble methods and time series.

Sikkim Manipal Institute of Technology

Bachelor of Technology, Engineering

2011 - 2015

Activities and societies: B-Tech projects for Caterpillar in the Automotive industry; automated classification of causal area in automotive defect analysis.

Completed a B-Tech program with projects in automotive defect analysis, including automated classification of causal areas.