About Divyansh Chopra

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    United States
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About me

Previously, I was a Senior Developer at Eli Lilly, where I deployed pipelines to fetch data from various external sources and transform it according to the business needs. Additionally, also worked on 2 Fullstack projects (inventory management and exploratory data analysis), written using Mongo, Angular, React, Node.js, and Spring Boot. Love to contribute to the community and here are some of my key works:
– Have published 2 python libraries
– Crafted a one-of-its-kind playlist generation system
– Booted up a Commercial Analytics team from scratch at Eli Lilly

Skills:

Programming Languages: Python, R, Java, Node.js, Spring, React, Angular, JavaScript, TypeScript, REST APIs, HTML, CSS
Data Science & Visualization: Regression, Reinforcement Learning, Matplotlib, NumPy, pandas, A/B testing, ETL, EDA, Data Science pipeline (cleansing, wrangling, visualization, modeling, interpretation), Statistics, Time series, Experimental design, Hypothesis testing, OOP, OOD, MS Office, Git, Tableau
Database: SQL, NoSQL, MS Access, Postgres, MongoDB, Neo4j, DynamoDB
Other Tools: S3, SageMaker, EC2, AWS, Jupyter Notebook, Docker, Kafka, RabbitMQ, JIRA, Apache Airflow

Education

Experience

  • 2022 - 2022
    Buybox Experts

    Data Scientist Intern

    ● Designed and implemented end-to-end solutions using machine learning and AI, improving the model\’s accuracy and user experience for sellers and vendors using their products. Impacted in 33% gain in revenue.
    ● Originated 6 new dashboards using Python to solve business problems. Used A/B testing for hypothesis testing and collaborated with Product Manager to productionize prototypes.

  • 2020 - 2021
    Eli Lilly

    Associate Manager

    ● Built 13 new data engineering pipelines using Apache Airflow and Spark to fetch data from external sources and transform the raw data into data cubes.
    ● Worked on 5 data analysis projects. All the projects had inferential analysis as a part of completion and interactive graphs leading to an increased customer base.
    ● Organized and led a Commercial Analytics seminar for 90+ people from diverse backgrounds wherein I trained them in Python, Matplotlib, Seaborn, SQL & AWS.

  • 2019 - 2020
    Société Générale

    Software Developer

    ● Revamped legacy systems into new base technologies such as Spring, React and Postgres with an increase in system performance by 70%.
    ● Led a project team of 9 people for building an application to process input Excel file and derive business metrics and KPIs from it.

  • 2018 - 2019
    Mindstix Software Labs

    Member of Technical Staff

Honors & awards

Skills

A/B Testing Angular Apache Airflow AWS CSS Data science pipeline Docker DynamoDB EC2. EDA ETL Experimental Design git HTML Hypothesis Testing Java JAVASCRIPT JIRA Jupyter Notebook Kafka Matplotlib MongoDB Ms Access MS office Neo4j Node.js NoSQL Numpy OOD OOP Pandas Postgres python R RabbitMQ react Regression Reinforcement Learning REST APIs S3 SageMaker Spring sql Statistics Tableau Time series TypeScript
 
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