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Adendla Chandra shekar

Data Engineer

  • Hyderabad, TG
  • 6 years

Available From: Available

    Candidate's About

    I am a perceptive and logical data analyst with a proven ability to communicate with both technical professionals and end users to identify and translate business requirements. I have 3+ years of experience driving data accuracy and integrity. I am an excellent team player with the ability to steer my team to develop valuable process solutions to meet business objectives.

    Work & Experience

    D

    Data Engineer

    Feb 22 - PRESENT
    • Created ETL pipeline for Campaign Performance data for various platforms (DV360, Adwords, Facebook, Campaign manager)
    • Ingested terabytes of data using Nifi and AWS Data lake
    • Processed data using spark
    • Improved client's ability to gain insights on campaigns running across different platforms
    D

    Data Engineer

    Nov 21 - Feb 22
    • Design and develop data pipelines to extract, transform, and load large volumes of data from various sources
    • Implement efficient data models and databases to store and manage data effectively
    • Collaborate with data scientists and analysts to understand their data requirements and provide them with access to relevant data
    • Develop and maintain ETL processes and workflo...
    Read More

    New York Parking System

    Data Engineer

    • Used Hive to analyze behavior of car parking in New York
    • Explored handling car parking during peak hours and weekends
    • Hive
    View Details

    Toxic Comments

    Data Engineer

    • Focused on negative online behaviors, specifically toxic comments
    • Compared different categories of comments using grouping
    • Implemented four models to detect toxic levels of sentences based on online comments
    • Achieved optimal performance using Spark, HDFS, and AWS
    • Used Tableau and Power BI for visualization
    • Responsibilities included architecture design and data migration (local-MYSQL-HDFS-Pyspark)
    • PySpark
    • MySQL-HDFS
    • AWS
    View Details
    D

    Data Scientist

    Feb 19 - Nov 21
    • Identify opportunities to improve Fraud Detection system and lead ML initiatives for business growth
    • Design and develop neural network models to improve Fraud Detection system accuracy to 93.4%
    • Identify most profitable customers and target them for new campaigns
    • Implement model resulting in 7.8% increase in product sales
    T

    Technical Visual Effects Specialist

    Nov 15 - Jul 18
    • Developed impressive visual effects for multiple titles
    • Led a team responsible for creating trailers
    • Guided visuals from discussion stage through technical development to final output and release of video and other media

    Education

    I

    Big Data Analytics and Optimization

    INSOFE (Certified by LTI, School of Computer Science at Carnegie Mellon University
    2018 - 2018
    S

    B.E(Electrical and Electronics Engineering)

    St. Peters Engineering College
    2011 - 2015

    Certificates

    I

    INSOFE (Certified by LTI, School of Computer Science at Carnegie Mellon University & listed top 10 by CIO.com)

    Achievements

    • Developed a machine learning-based fraudulent transaction detection system for a bank using Python. Preprocessed data using feature engineering and selection techniques, built and evaluated ML classification algorithms and ensemble methods, and achieved high accuracy using classification metrics. Key skills involved were supervised learning, predictive modeling, and hyperparameter tuning.