San Jose, California, United States
3K followers 500+ connections

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About

As a Product Data Analyst at Pinterest, I support the Ads Product Operations team with…

Activity

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Experience & Education

  • Amazon

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Licenses & Certifications

Courses

  • Big data modeling and Analytics

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  • Building and Leading High-Performance Teams and Organizations

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  • Business Intelligence & Data Warehousing

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  • Business of Cloud computing

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  • Computer based decision models

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  • Dashboards, Scorecards and Visualization

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  • Data science analysis with Python

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  • Database management systems

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  • Financial and Managerial Accounting

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  • Information Systems Analysis and Design

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  • Machine Learning

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  • Object Oriented analysis and programming

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  • Software project management

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  • Telecommunications and business networks

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Projects

  • Courier service management System using DBMS | ReactJS, JavaScript, HTML, CSS, MySQL workbench

    - Present

    • Built a website that maintains complete end-to-end details of a courier booking transaction.
    • Managed information about the company details, franchise details, hub rates, bookings, packages, tracking, customers and routes.
    • Reduced the manual work for managing the couriers, notifications, bills, payments, ratings, etc.

  • Data Science with python-Cryptocurrency Prediction Model | pandas, NumPy, Tableau, Scikit-Learn, NLTK, scrappy

    - Present

    • Contained Data gathering, Data wrangling and analysis of cryptocurrency’s historical data
    • Used support vector machine regression algorithm to predict the market trends of various cryptocurrencies like Bitcoin, Ethereum and Ripple to suggest which one to invest in.
    • Used feature engineering to best decide the factors and the insights on which the cryptocurrency value depends and to analyze the risks involved

  • Smart Housing system of a community | IS analysis, HTML, CSS, JavaScript, Process Design, SDLC, UI/UX

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    • Automated the working of Community management for smooth functioning of Homeowner’s communities.
    • Developed a web-based full featured Homeowners Neighborhood management application - ‘Smart Housing’.
    • Provided a comprehensive platform for the committee members to have a well governed committee, means of effective communication between members, transparent accounting and professional management of community events and association.

  • Summarization and Timeline Generation of tweets | Tweet stream clustering, TCV-Rank algorithm, Java, MySQL, Tableau

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    • Collected some of the live tweets from tweeter through Google docs in our system for analysis.
    • Developed a user portal for letting him post his own tweets with document upload option.
    • Implemented extraction, clustering and data filtering after which user could able to search tweets related to a topic in certain time frame and system were able to do sentimental analysis whether the tweet is positive or negative.

  • AWS Cloud computing | Amazon Web Services, Google Cloud, Microsoft Azure

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    • Implemented AWS EC2 instances to launch virtual servers to compare them with Google cloud and Amazon Azure services.
    • Used Amazon S3 storage service to store my own objects in the bucket for trying out the load balancers using XAMPP servers.
    • Implemented AMIs, EIPs, Load Balancers and other services using AWS console as well as CLI to compare the pros and cons.

  • Data Science with python-Cryptocurrency Prediction Model | pandas, NumPy, Tableau, Scikit-Learn, NLTK, scrappy

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    • Contained Data gathering, Data wrangling and analysis of cryptocurrency’s historical data
    • Used support vector machine regression algorithm to predict the market trends of various cryptocurrencies like Bitcoin, Ethereum and Ripple to suggest which one to invest in.
    • Used feature engineering to best decide the factors and the insights on which the cryptocurrency value depends and to analyze the risks involved.

  • Machine Learning (Intelligent Judicial System) | Scikit_learn, Feature Engineering, Pandas, NumPy

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    • Pre-processed the data using python libraries and implemented Recursive Feature Elimination for feature engineering.
    • Used Scikit-learn to create models using various machine learning algorithms and compared these models using different statistical metrics such as R-squared values, Bias, Variance and accuracy.

  • Recommendation system for World bank to analyse future loan disbursement | Tableau, Excel, NumPy, Pandas

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    • Cleaned & merged credit disbursal datasets from 2 bodies (IBRD & IDA) of world bank using Python libraries & excel to ensure data uniformity.
    • Analyzed the financial capacity of the borrower and visualizing the same using Tableau to avoid frauds and losses based on features like date & principle borrowed, amount, timeframe for repayment and the type of projects countries need loan for.
    • Represented the difference between developed & developing nations based on the features listed…

    • Cleaned & merged credit disbursal datasets from 2 bodies (IBRD & IDA) of world bank using Python libraries & excel to ensure data uniformity.
    • Analyzed the financial capacity of the borrower and visualizing the same using Tableau to avoid frauds and losses based on features like date & principle borrowed, amount, timeframe for repayment and the type of projects countries need loan for.
    • Represented the difference between developed & developing nations based on the features listed using Tableau.

Languages

  • English

    Full professional proficiency

  • Hindi

    Full professional proficiency

  • Marathi

    Full professional proficiency

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