Amandeep Singh Khanna

Results-Oriented Data Scientist

Bangalore, IN.

About

Highly accomplished Data Scientist with over 7 years of experience specializing in marketing analytics, commercial effectiveness, and customer behavior prediction. Proven ability to design and deploy data-driven solutions, generating over $25M in business value through predictive modeling, marketing mix, and survival analysis. Adept at leveraging advanced ML/AI, statistical modeling, and scalable systems (PySpark, SQL, Databricks) to drive strategic insights and measurable impact.

Work

Fractal Analytics

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Data Scientist

Bangalore, Karnataka, India

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Summary

Leads high-impact data science projects, leveraging advanced analytics and machine learning to drive significant cost savings and revenue growth for clients.

Highlights

Led a fraud detection project for a CPG beverage client using DBSCAN clustering, saving ~$16M by accurately identifying high-risk distributors.

Headed end-to-end design and deployment of a Price Pack Architecture (PPA) optimization system, achieving $6M in documented cost savings.

Developed intricate time series models to compute baseline sales, enabling Trade Promotion Optimization (TPO) and generating $5M in incremental value.

Built a dynamic predictive SMS reminder system using survival analysis (Weibull distribution), optimizing customer reordering cadence and increasing revenue by $2M.

St. Joseph's University, Bangalore

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Guest Faculty

Bangalore, Karnataka, India

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Summary

Educates and mentors university students in advanced data science topics, fostering practical application and academic rigor.

Highlights

Delivered comprehensive courses in Machine Learning, Power BI, and Research Methods to university students, enhancing their analytical and data visualization capabilities.

Mentored students on complex data science projects and academic research, guiding them through practical implementation and theoretical understanding.

Syneos Health

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Data Scientist II

Bangalore, Karnataka, India

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Summary

Collaborated with omnichannel marketing teams to enhance commercial effectiveness and optimize healthcare professional (HCP) segmentation strategies through advanced analytics.

Highlights

Partnered with omnichannel marketing teams to deliver data-driven commercial effectiveness and HCP segmentation strategies, optimizing outreach and engagement.

Executed promotional response analysis, market mix modeling, and campaign attribution using causal inference, providing actionable insights for strategic decision-making.

Designed robust analytical frameworks to improve sales force effectiveness and understand patient referral behavior, enhancing strategic planning and resource allocation.

Tata Consultancy Services (TCS)

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Data Scientist

Bangalore, Karnataka, India

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Summary

Managed end-to-end machine learning pipelines and designed predictive models, delivering data-driven insights and supporting business development for diverse client engagements.

Highlights

Delivered data-driven insights by managing full ML pipelines from data acquisition to predictive modeling for large-scale commercial analytics projects.

Designed and implemented advanced classification and regression models, optimizing analytical solutions for commercial clients.

Contributed to business development through successful Proof of Concepts (POCs) and RFIs, while effectively managing stakeholder communications and requirements gathering.

Worked across multiple client engagements, consistently ensuring quality delivery under tight deadlines and exceeding project expectations.

Tata Consultancy Services (TCS)

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Data Science Intern

Bangalore, Karnataka, India

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Summary

Developed data preprocessing pipelines for business intelligence dashboards and conducted R&D for predictive maintenance in the oil & gas sector.

Highlights

Developed efficient pre-processing pipelines for dashboards utilizing Power BI and Tibco Spotfire, enhancing data visualization capabilities for stakeholders.

Conducted in-depth Research and Development for valve stiction prediction, contributing to predictive maintenance initiatives for a global oil & gas firm.

Analytix Labs

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Data Science Intern

Bangalore, Karnataka, India

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Summary

Developed a real-time analytics solution for unstructured customer feedback, leveraging machine learning and web development technologies.

Highlights

Built a classification model and real-time dashboard using Python-Flask, enabling efficient analysis of unstructured customer feedback for actionable insights.

Education

St. Joseph's University

Bangalore, Karnataka, India
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M.Sc. Big Data Analytics Grade: Batch Valedictorian

St. Joseph's University

Bangalore, Karnataka, India
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B.Sc. Mathematics, Electronics & Computer Science (MEC)

Awards

Customer Star Award

Fractal

Awarded for exceptional performance and significant contributions to client success at Fractal.

Outstanding Contributor

TCS

Recognized for significant contributions and high-quality work within Tata Consultancy Services.

Star Performer of the Month

TCS

Acknowledged as a top performer for outstanding achievements and dedication during the month of December.

Publications

Comparative Study for Optimizing Sales through Media

IEEE

A comparative study exploring various methodologies for optimizing sales performance through media channels.

A Graph Neural Network Approach for Identification of Influencers and Micro-Influencers in a Social Network: Classifying influencers from non-influencers using GNN and GCN

IEEE

Explores a novel Graph Neural Network approach to identify and classify influencers and micro-influencers within social networks.

Skills

Analytics

Predictive Modeling, Statistical Inference, Causal Analysis, Segmentation.

Machine Learning

XGBoost, Random Forest, Logistic Regression, Neural Networks, SVM, NLP, Time Series.

Platforms

Databricks, Azure, AWS, MLFlow, Snowflake, PowerBI.

Languages & Tools

Python, PySpark, SQL, R, Git, Streamlit, MLOps.