Santa Clara, California, United States
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About

Graduated with a Master's Degree in Business Analytics from Santa Clara University…

Activity

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Experience & Education

  • Amazon

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Licenses & Certifications

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Courses

  • Big data and analytics

    -

  • DBMS

    -

  • Data science with python

    -

  • Econometrics with R

    -

  • Machine learning

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  • Marketing Analytics

    -

  • Time Series Analysis

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  • data visualization

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Projects

  • Clustering neighborhoods in Toronto

    - Present

    Explored and clustered the neighborhoods in Toronto.
    Generate maps to visualize neighborhoods and how they cluster together

    See project

  • Recommendations for improving job descriptions

    -

    Identified important metrics and extracted features from large set of job descriptions.
    Implemented various Natural Language Processing techniques to discern possible areas of refinement and provide insightful recommendations.

    See project

  • Fraudulent credit card behavior prediction

    -

    Boosted predictive performance of recall from 74% to 93% and precision from 59% to 78%; achieved through ensemble model Xgboost.
    Handled imbalanced data by oversampling the minority class using SMOTE.
    Accounted for over fitting using cross validation technique.

    See project

  • Amazon fine food reviews

    -

    Applied Text mining and extracted features to evaluate what words make a review useful/helpful.
    Used Lasso Regression and Random Forest to analyse the importance of certain features that help determine the usefulness.

    See project

  • Online food delivery database

    -

    Created a business model and identified use cases and metrics for online food delivery system.
    Generated complex queries using SQL to analyze data and provide information on customer retention, churn and acquisition.
    Presented insights by creating visualizations and dashboards in Tableau.

    See project

  • Retail store return policy change

    -

    Analyzed the impact of the decrease in the period of returns on online and physical store sales and returns.
    Derived and presented useful insights on the business strategies for adoption.

    See project

  • Feature Extraction for Speech Classification

    -

    Characterizing the classes of speech sounds using various speech features,checking the effectiveness of the features using suitable classification techniques and improving the performance of the phoneme recognition system

  • Crimes in Chicago Analysis

    -

    Performed exploratory analysis using python and obtained useful insights about crimes happening in Chicago. Also used clustering and decision trees to find useful patterns in the data set.

  • Online food delivery database

    -

    Created a business model and identified use cases and metrics for online food delivery system.
    Generated complex queries using SQL to analyse the data. Generated dashboards of the data using Tableau

Honors & Awards

  • Best final year project in the Computer Science Department

    NMAM Institute of Technology

Test Scores

  • toefl

    Score: 106

  • gre

    Score: 312

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