Open to opportunities

Manpreet User

@manpreetuser1

Message

Data Scientist with 3+ years building production-ready ML and data-driven solutions.

India

Message

What I'm looking for

I’m looking for a role where I can build production-ready ML systems, improve pipelines end-to-end, and use experimentation to drive measurable outcomes—working closely with cross-functional teams to ship reliable data-driven solutions.

I’m a Data Scientist with 3+ years of experience developing and implementing machine learning models and data-driven solutions. I focus on turning analytics into measurable impact—especially through supervised/unsupervised learning, experimentation, and rigorous model evaluation.

I’ve engineered scalable data pipelines and reduced pipeline costs by 90% while cutting manual effort by 75%. I also accelerated experimentation by 35% by automating experiment tracking and A/B test analysis with MLflow, helping teams make faster data-driven decisions.

On product outcomes, I analyze user behaviour, cohort retention, and conversion funnels to surface engagement drivers—contributing to a 30% relative engagement lift. I pair feature engineering with model optimization (including cross-validation and hypothesis testing) to improve accuracy and reliability.

In addition to core ML work, I’ve applied NLP on unstructured datasets and supported LLM response quality by grounding outputs in domain knowledge bases using prompt engineering and LLM evaluation. I’m energized by data pipelines, production integration, and staying current with the latest developments in data science and programming.

Experience

Work history, roles, and key accomplishments

Current

Associate

Current

Cognizant Technology Solutions

Jan 2026 - Present (7 months)

Enhanced LLM response quality by grounding outputs in banking domain knowledge bases using prompt engineering and LLM evaluation methods, and deployed models via AWS SageMaker for a GenAI core product initiative. Partnered with business stakeholders to analyze large-scale structured datasets and deliver data-driven analytical solutions for decision-making.

Prompt Engineering LLM Evaluation Generative AI AWS Sagemaker Data Analysis

Programmer Analyst

Cognizant Technology Solutions

Feb 2023 - Dec 2025 (2 years 10 months)

Designed and implemented ML data pipelines using Python, SQL, PySpark, and Snowflake, reducing manual effort by 75% and pipeline costs by 90%. Built and optimized machine learning models (XGBoost, Random Forest, Logistic Regression) with Scikit-learn, improving accuracy from 68% to 81%, and supported experiment tracking and A/B test analysis using MLflow.

Python SQL PySpark Snowflake Data Pipelines scikit learn XGBoost Random Forest Logistic Regression Feature Engineering Cross Validation Optimization NLP MLFlow A B Testing GitHub

Data Analyst

Business Infra

Jul 2022 - Jan 2023 (6 months)

Analyzed customer behavior, cohort retention, and conversion funnels to identify key engagement drivers and reduce reporting inconsistencies by 25%. Supported experimentation analysis that contributed to a 30% relative increase in feature interaction through statistical analysis and identification of key conversion drivers.

Cohort Analysis Funnel Analysis Customer Behavioral Analysis Statistical Analysis Experimentation