Statistician/Data Scientist with Bayesian & ML focus

Anjan Mandal

931-***-**** *.*********@*****.*** https://www.linkedin.com/in/anjan-mandal/ https://github.com/Anjan-stat Education

PhD in Mathematical Sciences Aug 2017 – Dec 2024

University of Nevada, Las Vegas

Masters in Statistics July 2008 – May 2011

Indian Institute of Technology, Kanpur

RESEARCH INTEREST SKILLS

• Directional Statistics, Bayesian Analysis, Machine Learning, Regularized Estimation Process.

• R, SQL, SAS, VBA, Python, Microsoft Word, Microsoft Excel, PowerPoint. INDUSTRY EXPERIENCE

Digital Marketing Consultant Jan 2015 – Jun 2017

Accenture Gurgaon, India

• Led demand forecasting for 1,100 retail stores; automated model evaluation and reporting.

• Directed promotional allocation modeling and presented analyses to stakeholders. Analytics Analyst Nov 2012 – Dec 2014

Accenture Gurgaon, India

• Built econometric and Market Mix Models in SAS to quantify marketing effectiveness.

• Provided optimization insights on media spending using panel data analysis. Research Associate, Fixed Income Group, Financial Services May 2011 – Jul 2012 Evalueserve Gurgaon, India

• Modeled Sovereign Credit Default Swaps using Bloomberg financial data. INTERNSHIP EXPERIENCE

Research Assistant Jul 2023 – Dec 2023

Weill Cornell Medicine New York, NY

• Developed statistical methods for spatially variable gene detection in transcriptomic data.

• Designed scalable Generalized Additive Model (GAM) framework and benchmarked new methods against existing tools.

Oncology Research Intern May 2022 – Aug 2022

Astrazeneca Gaithesburg, MD

• Explored Bayesian approaches to borrow historical data into clinical trials.

• Evaluated dual-endpoint trial performance and presented findings to research teams. Summer Intern: Bayesian and Interdisciplinary Research Institute May 2009 – July 2009 Indian Statistical Institute Calcutta, India

• Helped in developing a rule for optimum adaptive sequential design to minimize the number of less effective drugs and maximize the probability of correct selection for symmetric location parameter family. RESEARCH & TEACHING EXPERIENCE

Bayesian Estimation of directional parameters from Signal Data Jan 2020 – Dec 2024 University of Nevada, Las Vegas Las Vegas, NV

• To address the issue of lack of neighbourhood information in dMRI data analysis, we propose a Bayesian model by creating Spatial Pior for Continuity Estimation (SPACE) applied to three-dimensional whole-brain structure MRI data to perform automatic model selection. These fiber direction estimates are further used as input for resolving fiber crossing problem.

Generalized Model for Simplified dMRI Model Jan 2022 – Dec 2024 University of Nevada Las Vegas Las Vegas, NV

• While the Ball-and-Stick Model (BSM) is a standard approach for fiber direction estimation, its single-fiber limitation restricts its applicability. To address this, we developed a computationally efficient generalized multi-fiber extension of the BSM.

Sampling from Simplex Space Aug 2021 – Jan 2023

University of Nevada Las Vegas Las Vegas, NV

• We develop two novel proposal distributions for Markov Chain Monte Carlo sampling on the simplex. By transforming the simplex into a circular manifold and utilizing the projected gamma distribution, our approach eliminates the sampling inefficiencies caused by tight vertex and edge regions, substantially improving sampler performance. Teaching Assistant in the Department of Mathematical Sciences Aug 2017 – Aug 2023 University of Nevada Las Vegas Las Vegas, NV

• Taught, evaluated, and provided discussion sessions for the following courses.

• Applied Statistics for Engineers; The Practice of Statistics in the Life Sciences; Introduction to Statistics; Finite Mathematics; College Algebra; Fundamentals of College Mathematics. PUBLICATIONS

Published Sep 2021

• Rahul Deb Das, Ananda Sankar Pal, Madorina Paul, Anjan Mandal (2021) Exploring Twitter Data to Understand the Impact of COVID-19 Pandemic in India using NLP and Deep Learning in Intelligent Modelling, Prediction, and Diagnosis from Epidemiological Data; CRC Press.

In Progress

• Bayesian Approach for Finding the Fiber Direction using Spatial Prior for Angular Continuity Estimation (SPACE).

• Experimental Design and Differential Analysis of Spatial Multiomics. ACHIEVEMENTS

• Council of Scientific & Industrial Research Junior Research Fellowship, Govt of India.

• Employee of the Financial Q3-2015, Accenture, India.

• Nomination at the National Society of Leadership and Success (NSLS), University of Nevada, Las Vegas.

• Ranked 1st in a district level mathematics competition.

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