About

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    United States
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Education

  • - 2022
    University at Buffalo, The State University of New York

    Masters: Data Science

    GPA: 3.84 / 4.0 • Relevant Coursework: Probability & Statistics, Machine Learning, Time Series Analysis, Distributed Computing, Relational Databases, Deep Learning, Computer Vision, NLP

  • - 2017
    Indian Institute of Technology (IIT BHU)

    Bachelors: Electrical Engineering

    • Relevant Coursework: Calculus, Linear Algebra, Operating Systems, Data Structures & Algorithms

Experience

  • 2022 - Present
    Nokia R&D

    AI/ML Co-op

    • Collaborated with team to construct an ETL pipeline using TFX and Airflow to predict incoming traffic rate from radio access networks
    • Executed ML infrastructure software to integrate message Rate Prediction (MRP) serving model with Kubernetes (k8s). It optimized pod usage by up to 20%
    • Created XGBoost Classifier Model to automate regression error analysis/classification based on NLP and reduced QA team\’s manual workload by ~60%
    • Identified data quality issues and presented insights to Naperville City council on city parking data to improve new facility development efforts by ~15%

  • 2017 - 2021
    Capgemini, Bangalore, India

    Software Engineer

    • Led a team of 4 Salesforce developers, to design and develop RESTful APIs in eCommerce websites following Agile methodology
    • Refactored legacy software to Controller architecture upgrading website response by ~50%
    • Achieved ~10% increase in sales by customizing Salesforce\’s recommendation engine to cater client requirements
    • Designed and implemented end-to-end architecture of customer loyalty program for a jewelry brand. Improved customer retention and boosted customer base by ~32% within first quarter
    • Mentored training sessions of 8 freshers and monitored development of proof-of-concepts
    • Collaborated with the DevOps team and worked on migrating services on cloud servers by implementing Jenkins CI/CD based docker solutions

Skills

Adaboost Airflow AWS (S3 CNN DBMS Decision Trees EC2. Elastic BeanStalk) git Java JAVASCRIPT k-means clustering k-NN Kubernetes Linear/Logistic Regression linux MLflow Naive Bayes NLP PCA python R R Studio Random Forests RDS RNN Spark sql SVM Tensorflow Time Series Modeling XGBoost
 
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