Pavan Nalajam

About Pavan Nalajam

A highly motivated and results-oriented Ph.D. Data Scientist/Analyst with over 9 years of academic research and industrial experience in building and leading cross-functional teams across Marketing, E-Commerce, Healthcare and Manufacturing. Proven ability to architect and implement innovative and state-of-the-art solutions, driving business value through advanced statistical modeling, machinelearning, and AI techniques. Strong collaborative skills, ensuring data accuracy and integrity while providing actionable insights.Published high-quality research articles consistently on machine learning applications (h-index: 6).Skills and Expertise: Programming: Python, SQL, SPSS, MATLAB, Pyspark, Kubernetes Database: Spark, SQL Server, Vertica SQL Software Tools: PowerBI, Tableau, Git Cloud: Azure, AWS, GCP Machine Learning : Regression Analysis, Tree Based Methods, Support Vector Machines, Linear Model Selection and Regularization, Non-Linear Models, Principal Component Analysis, Clustering, Time Series, Ensemble models, Gradient boosting, K-NN. Deep Learning: Convolution Networks, RNN, LSTM NLP: Text Processing, Classification, Summarization, Sentiment Analysis LLM: BERT, GPT, RoBERTa

Experience

1. Senior Data Science Analyst

   Samsung Electronics America

   Feb 2023 — Present · Redmond, WA, US

   Lead the development and implementation of data-driven strategies to extract actionable insights from Samsung.com\'s DTC business data.• Partner with Category Managers/Stakeholders to define KPIs and performance metrics, continually monitoring and optimizing the product performance and user experience.• Analyzes promo effectiveness using statistical validation methods and designs customer segmentation methodologies to make recommendations and influence the product/business road map.• Prioritizes cross-category sales, traffic patterns, and conversion rates to effectively promote product bundles, driving a significant increase in sales of multi items.• Creates and maintains Tableau dashboards for business KPIs, Promo effectiveness, Forecasting to ensure clear communication of analytical findings to non-technical stakeholders.Focused Areas:• Sales Forecasting• Cross-category sales• Promotional lift analysis• Customer segmentation• Optimization of promo performance• Supply and fulfilment• Web analytics• Business Analytics

Education

• Vellore Institute of Technology

  Doctor of Philosophy - PhD, Machine Learning Applications

• Vellore Institute of Technology

  MS (By Research), Statistical Modelling of Welding Arcs

• Pondicherry Engineering College

  Bachelor of Technology - BTech, Electrical and Electronics Engineering

  2009 — 2013