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Rajagopal Bojanapalli

With over a decade of experience in the field, I have honed my skills in MySQL, Java, Python, and Hadoop to a high level of proficiency. My expertise in these technologies has enabled me to successfully tackle a wide range of projects and challenges throughout my career. From designing and optimizing databases to developing complex software solutions, I have demonstrated a strong ability to deliver results and drive innovation. My extensive experience has equipped me with the knowledge and skills necessary to excel in the ever-evolving world of technology.
  • Role

    Software Engineer

  • Years of Experience

    10 years

  • Professional Portfolio

    View here

Skillsets

  • Apache Kafka
  • Pinot
  • Dataproc
  • MapReduce
  • Looker
  • Presto
  • Dataflow
  • Airflow
  • Apache Flink
  • BigQuery
  • Scala
  • MySQL
  • Terraform
  • PySpark
  • Kubernetes
  • Elasticsearch
  • GCP
  • Apache Spark
  • Hadoop
  • Python
  • Java

Professional Summary

10Years
  • Feb, 2019 - Present7 yr 6 months

    Software Engineer

    Uber
  • Jan, 2017 - Feb, 20192 yr 1 month

    Software Engineer

    Walmart Labs
  • May, 2016 - Dec, 2016 7 months

    Big Data Intern

    Walmart Labs
  • Jan, 2013 - Jul, 2013 6 months

    Software Intern

    Flipkart Online Services
  • Jul, 2013 - Dec, 20141 yr 5 months

    Developer

    Fiorano Software Ltd
  • Jan, 2015 - May, 20161 yr 4 months

    Data Scientist

    Information Sciences Institute

Applications & Tools Known

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    Apache Spark

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    Apache Kafka

  • icon-tool

    Pinot

  • icon-tool

    Looker

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    GCP

  • icon-tool

    Bigquery

  • icon-tool

    Presto

  • icon-tool

    Airflow

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    Kubernetes

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    Hadoop

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    Dataflow

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    Dataproc

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    Terraform

Work History

10Years

Software Engineer

Uber
Feb, 2019 - Present7 yr 6 months
    Founder of CO Data Engineering, managed central warehouse, created ETLs, enhanced data quality/freshness for crucial datasets, built anomaly detection systems saving $500K, created data validation utilities reducing man hours, implemented access controls on datasets, led governance projects for data management. Collaborated with ML teams on feature building, managed GDPR-compliant pipelines, built real-time queue analytics systems, optimized dataset performance.

Software Engineer

Walmart Labs
Jan, 2017 - Feb, 20192 yr 1 month
    Developed pipelines for audience estimation, campaign management, and propensity audience; contributed to ad revenue increase of $10M; improved deployment infrastructure.

Big Data Intern

Walmart Labs
May, 2016 - Dec, 2016 7 months
    Created application to analyze log messages/alerts; enhanced algorithm efficiency and optimized disk usage.

Data Scientist

Information Sciences Institute
Jan, 2015 - May, 20161 yr 4 months
    Implemented clustering/graph algorithms to identify Human Traffickers; work featured on Forbes.

Developer

Fiorano Software Ltd
Jul, 2013 - Dec, 20141 yr 5 months
    Developed front-end web applications for API management, tracking metrics, and managing restrictions.

Software Intern

Flipkart Online Services
Jan, 2013 - Jul, 2013 6 months
    Built sales dashboards for analytics on product popularity, filtered by category/location/time.

Achievements

  • Founding member of CO Data Engineering
  • Built anomaly detection systems
  • Built data validation utility
  • Built Access controls
  • Led data governance project
  • Built features for ML Models like R&A issuance
  • Built Real-time Queue Analytics dashboard

Major Projects

6Projects

Building Knowledge Graph to Combat Human Trafficking

    Featured on Forbes, implemented clustering and graph algorithms.

Real-time Audience Size Estimation

    Real-time big data processing with less than 1.5 % error in minutes.

Modelled Data as Graph using Apache Spark GraphX

    Graph analytics on human trafficking ads, achieved significant results in clustering and identification.

ClickThrough Prediction Rate

    Predicted ad click probability using classifiers such as decision trees, random forests, and SVM; demonstrated results on ROC Curve.

Recommendation System

    Used dataset Audioscrobbler-data to recommend artists using Latent Factor Model and collaborative recommendation methods; implemented on IMDB Movie dataset.

Clustering, Graph Analytics on Human Trafficking

    Grouped similar ads, modeled data as graph using Spark Graphx, identified connected groups; work featured on Forbes.

Education

  • B.E. (Hons.)

    BITS-Pilani, Pilani campus (2013)

  • MS. Data Informatics

    University of Southern California (2016)