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Srimugunthan Dhandapani

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Srimugunthan
Data science -Lead
Wells Fargo

Profile Summary

I am srimugunthan, Seasoned tech professional with ~14 years of tech industry experience in different product companies , ~10 years of experience in Data analytics and ~4 years experience in Embedded systems. I currently work as Data science & Analytics -Lead @ Wells Fargo. My expertise is in discovering AI/ML usecases and building machine learning models for prediction, recommendation and classification. My interests are in Generative AI, Experimentation and causal inference, Recommender systems , Prediction models, Reinforcement learning

Selected Projects

Regression boston housing dataset

We solve the problem of predicting boston housing prices using regression.

Movie recommender

We solve the problem of movie recommendation using collaborative filtering.

Cluster analysis

This project illustrates cluster analysis using k-means.

MNIST

This project solves the digit recognition problem using Keras

Conjoint analysis

This project illustrates conjoint analysis for product pricing

Cohort analysis

This project illustrates cohort analysis on a sample dataset


Education

[ 2021 - 2023 ] : Executive MBA in product leadership Institute of Product leadership , Bangalore 2024

[ 2008 - 2012 ] : MSc(Engg) in Computer Science, Indian Institute of science, Bangalore 2012

[ 2001 - 2005 ] : B.E in computer science , Madras institute of technology, chennai.2005

Publications

  • Srimugunthan, K.Gopinath, Giridhar Appaji Nag Yasa LFTL: a multi-threaded FTL for parallel IO flash cards CSI journal of computing

  • Srimugunthan, K.Gopinath, Distributed Wearlevelling of Flash memories , arXiv:1302.5999.

  • Srimugunthan, M.N.S Bharadwaj, “ Space Efficient Recovery of Time Related Metadata Of Recorded Data from Failure Scenarios , Indian Patent Application 4939/CHE/2014

Skills

  • Data science Programming languages: Python, R, Shell-scripting, SQL,Scala

  • Data Visualization: Matplotlib, seaborn Plotly, GGplot

  • Data processing frameworks: Apache Spark, Hadoop, Pandas, Numpy, Scipy

  • Machine learning tool-set: Scikit-learn, Spark.ml, Keras, HyperOpt, Mlflow, SHAP, Lime , DoWhy, H2O,snorkel, nltk

  • Database: MySQL, Postres, Dynamodb, Presto/Hive, Bigquery

  • Cloud platform: AWS, GCP

  • Data Platforms: H2O, Domino, Databricks

  • Models used: Deep learning neural nets, Decision Trees, Linear regression , Logistic regression, Random forest, xg-boost etc

Talks

Contact


Email: srimugunthan.d@gmail.com
Tel: (+91) 9986561984