Portfolio / 2026

| Assistant Professor · Data Science · Machine Learning · Statistics

Building ML, time-series, and statistical modelling systems that hold up in the real world — across manufacturing, finance, and academia.

Download CVGet in touch LinkedIn

About

Modelling the real world.

Assistant Professor with 5+ years of experience in data science and machine learning analytics for manufacturing and finance, complemented by 5 years of research experience. Led 10+ machine learning and statistical projects managing large-scale datasets. Translates complex data into strategic decisions that improve operational efficiency and business outcomes across manufacturing, finance, and academia.

From longitudinal data and mixed-effects models to SARIMA/GARCH forecasting and deep-learning architectures for AQI prediction — the same disciplined statistical thinking, deployed across domains.

Years experience10+
Peer-reviewed papers9
Students mentored300+
Research projects led10+

Experience

Career timeline.

Sri Ramachandra Institute of Higher Education and Research

May 2025 — Present

Chennai

Assistant Professor

  • Engineered DLNM-based models analyzing lagged health effects of PM2.5 and NO₂ exposure, identifying critical exposure windows linked to respiratory morbidity.
  • Architected GRU-based deep learning models forecasting AQI across Tier-1 Indian cities, achieving 35% improvement in forecasting accuracy.

Gen Hypothesis

February 2024 — May 2025

Bengaluru

Senior ML Engineer & Consultant

  • Designed automated defect detection and predictive maintenance systems using Python and SAS, reducing downtime by 20% and defects by 40%.
  • Developed SARIMA and machine learning demand forecasting models, improving forecast accuracy by 30%.
  • Built time-series forecasting models (ECM, GARCH, Markov) for NSE 2000+ stocks, identifying cointegration and volatility patterns.
  • Engineered RFM segmentation, sentiment analysis, pricing models, and recommender systems, driving measurable improvements in customer experience and revenue.

Jain (Deemed-to-be University)

October 2021 — May 2025

Bengaluru

Assistant Professor

  • Led team of 7 faculty members and mentored 300+ students in Data Science and Analytics Department.
  • Redesigned curriculum with Python, R, SAS, and Tableau integration, increasing student satisfaction by 25% and academic performance by 20%.
  • Directed 10+ research projects on machine learning and advanced statistics, contributing to peer-reviewed publications.
  • Organized 5 national and international conferences, elevating department reputation and creating industry-academia partnerships.

University of Madras

April 2019 — April 2020

Tamil Nadu

Project Assistant

  • Developed novel outlier detection algorithms for categorical data analysis, reducing classification errors by 20%.
  • Implemented robust outlier identification techniques, increasing data reliability by 10%.
  • Conducted comprehensive simulation studies validating model robustness, achieving 15% improvement in prediction accuracy.

University of Madras

June 2015 — June 2018

Tamil Nadu

Research Assistant

  • Contributed to UGC-UPE phase-II Research programme on construction, validation, standardization and application of a battery of intelligence tests based on Gardner’s Theory of Multiple Intelligences.
  • Designed statistical models assessing 6 of 8 intelligence dimensions, improving student assessment accuracy by 30%; adopted by 20 educational institutions.
  • Engineered predictive analytics algorithms boosting customer retention by 20% and user satisfaction by 15% within one year.

University of Madras

June 2014 — June 2015

Tamil Nadu

Technical Assistant

  • Delivered R programming, SPSS, and Excel workshops for MSc students; facilitated 5+ technical conferences and workshops.

Skills

Core expertise.

Tools & Languages

SAS·Python·R·Tkinter·Django·Tableau·SPSS·Stata·MATLAB

Quantitative Research

Statistical Modeling·Regression Modeling·Machine Learning·Deep Learning (GRU, LSTM)·Multivariate Techniques·Time-Series Analysis (SARIMA, GARCH, ECM)·Longitudinal Data Analysis·DLNM

Education

Academic path.

University of Madras

April 2016 — June 2021

Doctorate of Philosophy in Statistics

DissertationJoint modelling of longitudinal count data on human intelligence

University of Madras

April 2012 — April 2014

Master of Arts in Statistics

Loyola College, Chennai

April 2009 — April 2012

Bachelor of Arts in Statistics

Projects

Selected work.

February 2024

Sentiment and Psychological Profiling Based on Pre and Post-Pandemic Tweets

  • Applied NLP techniques (VADER, BERT) analyzing sentiment shifts across 100,000+ tweets from pre and post-pandemic periods.
  • Developed psychological profiling algorithms identifying key emotional changes, revealing 40% increase in anxiety-related language post-pandemic.
  • Created interactive Tableau dashboards visualizing sentiment trends; presented findings at International Conference on Data Science.

August 2023

Financial Data Analysis and Forecasting

  • Implemented ensemble forecasting models (LSTM, Prophet, ARIMA) for stock price prediction, achieving 28% reduction in forecast error.
  • Engineered 50+ financial indicators and technical features, identifying key market volatility drivers through correlation analysis.
  • Developed automated Python ETL pipeline processing 5+ years of historical market data for real-time predictions.

July 2023

Harmony of Oscar & Spotify Top 10 Nominated Music: A SARIMA Model

  • Analyzed acoustic features of Oscar-nominated songs (2000-2023) using Spotify API; extracted pitch, chord progression, and tempo.
  • Applied SARIMA time-series modeling identifying recurring patterns in musical harmony and composition styles.
  • Discovered significant correlations between specific chord progressions and award-winning songs; achieved 75% predictive accuracy.

December 2022

Ransomware Detection and Mitigation through ML Techniques

  • Engineered multi-stage ML pipeline combining Random Forest, XGBoost, and neural networks for ransomware detection.
  • Trained models on 100,000+ ransomware samples, achieving 96% detection accuracy with 0.5% false positive rate.
  • Implemented real-time monitoring system detecting and neutralizing ransomware attacks within 2 seconds of breach.

May 2020

Customer Investment in Solar Technology: Exploratory Data Analysis

  • Analyzed 50,000+ customer records identifying demographic and economic factors influencing solar technology investment.
  • Applied clustering algorithms (K-means, DBSCAN) segmenting customers into 3 distinct high-value investment profiles.
  • Built logistic regression models predicting adoption probability with 83% accuracy; recommended 15% increase in target marketing ROI.

April 2016

Betting Odds and Match Outcomes Analysis: Grand Slam 2000-2015

  • Collected and cleaned 15 years of Grand Slam match data and betting odds from multiple sources.
  • Developed Bayesian probability models assessing relationships between betting odds and actual match outcomes.
  • Identified consistent over/under-valuation patterns in betting markets; revealed potential arbitrage opportunities with 65% success rate.

January 2014

Statistical Analysis of Length of Stay in Hospital: A Meta-Analysis

  • Performed meta-analysis of hospital length of stay data encompassing 2,000,000+ observations.
  • Applied mixed-effects models and survival analysis identifying significant predictors of extended hospital stays.
  • Discovered 8 key factors influencing length of stay; enabled hospitals to optimize resource allocation by 18%.

Research Experience

Peacock Solar

April 2020

Data Analytics Intern

Applied analytical and forecasting methods to solar-sector data.

Indian Council of Medical Research

May 2013

Research Intern

Project: Sputum Conversion in TB Patients — A Kaplan-Meier Estimator Approach by Gender.

DMS Government Sector

June 2011

Data Analyst Intern

Project: Agricultural Production and Rainfall in Tamil Nadu — A Regression Analysis Approach.

Research

Published work.

Peer-reviewed work across Wiley, Springer, IEEE, and CRC Press — plus a published patent — spanning applied ML, statistical modelling, IoT, and computer vision.

Article

Optimizing Engineering Education in the Maldives: A Data-Driven Analysis of Key Barriers and Statistical Visualization Using R Programming

Computer Applications in Engineering Education, Wiley

doi:10.1002/cae.70154

Article

Artificial Intelligence-Driven Predictive Maintenance: Enhancing Operational Efficiency Through Data-Driven Insight

Springer - Soft Computing Research Society, 2nd International Conference on Computing and Machine Learning

doi:10.1007/978-981-95-2875-2_33

Patent

Real-time law enforcement and road safety with smart traffic enforcement system integration of Artificial Intelligence and Vision Models

Patent Application

202441096943 A

Article

Psychosocial Predictors of Suicidal Ideation among School going Adolescents in Chennai

YMER, 21(6), 963-973

doi:10.37896/ymer21.06/95

Book Chapter

Novel Techniques Using IoT and Cloud Computing in Agriculture

Integration of IoT with Cloud Computing for Smart Applications, Chapman and Hall/CRC, 1-19

doi:10.1201/9781003319238

Article

Measuring interchangeability in school lunch intervention data using concordance correlation coefficient

Statistics and Application, 20(1), 241-253

2454-7395

Article

Joint Modeling for Longitudinal Data with Missing Values: A Bayesian Perspective on Human Intelligence

Journal of Scientific Research, 13(2), 521-536

doi:10.3329/jsr.v13i2.50479

Book Chapter

Modelling human intelligence using mixed model approach

Data Science and Social Research - Methods, Technologies and Applications, Springer, 199-216

doi:10.1007/978-3-030-51222-416

Article

Robust estimation in joint modelling for human intelligence

Statistica & Applicazioni, 18(2), 137-161

doi:10.26350/999999-000035

Certifications

Credentials.

April 2025

Statistical Methods in MATLAB

MathWorks

April 2025

Deep Learning with MATLAB

MathWorks

February 2025

Practical Time Series Analysis

The State University of New York

January 2025

Introduction to Generative AI

Google Cloud Training

June 2023

SAS Certified Specialist: Base Programming Using SAS 9.4

SAS Institute

April 2019

Python Certification

January 2019

Windows and Office 2010 Deployment Certification

April 2009 — April 2012

Higher Diploma in Systems and Networking

GNIT

Awards

First Prize, Data Analysis

June 2019

Awarded 1st prize for Suicidal Ideation project out of 100 entries at University of Madras.

Conference Activities

  • Published 6 International and 3 National research articles.
  • Facilitated 9 National/International Conferences and 5 Workshops.
  • Presented 6 papers at National/International Conferences.
  • Served as Freelance Consultant (April 2021 — April 2023): Mentored professional, doctorate, and postgraduate students on research projects.
  • Instructor (April 2020 — April 2021): Taught 2 full-credit Statistics courses.

Contact

Let's work together.

Open to consulting, applied research, and academic collaborations. Based in Chennai, India — available globally for remote engagements.

Email

gokultvasan@gmail.com

Phone

+91 90030 53778

LinkedIn

linkedin.com/in/gokultvasan

Location

Chennai, India