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Hargurjeet Ganger

Data Scientist

  • Bengaluru, KA
  • 11 years
Notice Period: 90 Days

    Candidate's About

    I am a data science professional with experience in statistics, data exploration, machine learning, and Azure. I actively engage in open-source platforms and have a blog and YouTube channel to educate others on ML and data science concepts.

    Work & Experience

    S

    Data Scientist

    Shell India Market Private Limited
    Sep 16 - PRESENT

    Technology

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      SQL
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      Azure
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      Python
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      Machine Learning
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      Problem Solving
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      Statistics
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      PyTorch
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      Power BI
    • Strong experience in Python for data wrangling/analysis using Pandas, Numpy, Matplotlib, seaborn, etc.
    • Built Power BI dashboard to forecast Materials on-time delivery in 5 geographies within 1 year, resulting in a 10% reduction in budget allocations.
    • Developed ML models (XGBoost, Random forests, Decision trees) for predictive maintenance of equipment at oil refineries, resu...
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    T

    IT Analyst

    Tata Consultancy Services
    Feb 10 - Aug 16

    Technology

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      Python
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      SQL
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      Azure
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      Machine Learning
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      Power BI
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      Problem Solving
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      Statistics
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      PyTorch
    • Performed System & Integration Testing to validate client PoS and payment system.
    • Supported and managed User Acceptance Testing single-handedly working with multiple Business stakeholders.
    • Spent one year in the UK guiding offshore teams with the implementation of new PoS software.
    • Awarded "Star of the Month" twice.
    • Promoted from Systems Engineer to IT An...
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    Education

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    B.E in Electronics and Communication

    New Horizon College Of Engineering
    2006 - 2010

    Certificates

    M

    DP100 - Azure Data Scientist Associate

    Microsoft
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    DP900 - Azure Data Fundamentals

    Microsoft
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    Deep Learning Applications with Keras

    Linkedin
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    NLP using Tensorflow

    Coursera
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    AI102 - Azure AI Engineer

    Microsoft
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    Data Analysis with Python: Zero to Pandas

    Jovian.ai
    K

    Intermediate in Machine Learning

    Kaggle
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    Deep Learning with PyTorch

    Jovian.ai

    Achievements

    • Conducted a time series analysis and forecasting of the Nifty 50 stock prices and trading volumes, using historical data spanning 20 years. Implemented moving averages techniques, augmented Dickey Fuller test, stationarity conversion techniques, ARIMA, and Prophet models and evaluated their performances using RMSE and MEA errors.
    • Processed and classified large volume of twitter data for disaster-related tweets as fake or genuine using deep neural network built in TensorFlow and natural language processing techniques such as stop word removal, tokenization, pad sequence and word embedding using NLTK library.
    • Constructed PyTorch CNN for 65k fruit images, 131 classes. Employed data augmentation, normalization, LR schedule, Adam, dropout, Minmax pooling, reaching 98% accuracy in <5 mins.