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  • šŸ‘‹ Hi, Iā€™m Sanket Sanap
  • šŸ‘€ Iā€™m interested in Big Data, Data Science, Data Engineering and Cloud applications
  • šŸŒ± Pursuing Master of Science in Data Architecture and Management
  • šŸ“« Reach me at [email protected]

Sanket Sanap's Projects

bank-loan-status-predictive-analysis icon bank-loan-status-predictive-analysis

erformed a predictive analysis on the customer's Bank Loan Application data to predict loan status. Using python, pandas, scipy, seaborn, AutoML libraries, and machine learning techniques. Used Machine Learning techniques to accurately predict the evaluation scheme if the particular loan will be 'Fully Paid' or 'Charged Off'. This means if Bank accepts a particular person's loan application will it be 'Fully Paid' or 'Charged Off'

car-rental-management icon car-rental-management

A DBMS project using SQL, PL-SQL with Oracle Cloud Infrastructure (OCI) database for management of Car Rental Business and create analytic visualization reports using "Tableau" for the management team and decision-makers of the organization

cosmetics-sales-prediction icon cosmetics-sales-prediction

Performed Predictive Analysis using supervised ML algorithm "Decision Tree" on the customer data to predict if a particular cosmetic item will be sold or not based upon the factors respectively

dw-boston-food-inspection icon dw-boston-food-inspection

Designed and developed Dimensional Data Model for public data 'Boston Food Inspection' and performed ETL, cleansing operations and converted csv data to load into dimensional model with respective Dimensions and Fact table as Star Schema with the help of data preparation tool Alteryx

escooter-data-pipeline icon escooter-data-pipeline

An Automated data pipeline using "Apache Airflow" performing "ETL" on RAW data using "Pandas" library then stage data into "PostgreSQL" then process it distributed cluster and parallelly using "Spark" and loaded final useful data into "ElasticSearch" NoSQL DB warehouse

handgun-detection icon handgun-detection

Created a CNN using TensorFlow with model accuracy of 95.79% having 5 feature extraction layers for curve, edge detection and patterns from 224*224 input images from 3000 raw .jpg image dataset

imdb-data-warehouse-and-bi icon imdb-data-warehouse-and-bi

Designed and developed Dimensional Model and performed data profiling, ETL operations for staging using Alteryx. Created data integration workflow in Talend to load data in AzureSQL and BigQuery DW and visualized analytical data reports dashboard using Tableau and PowerBI to get the insights and single truth story of the data

landlords-manager icon landlords-manager

A web application for Landlord to manage and track accounts of their tenants such as rent, electricity bill, and history data

nyc-arrest-dw-bi icon nyc-arrest-dw-bi

Designed and developed Dimensional Model and performed data profiling, ETL operations for staging using Alteryx. Created data integration workflow in Talend to load data in AzureSQL and BigQuery DW and visualized analytical data reports dashboard using Tableau and PowerBI to get the insights and single truth story of the data

san-francisco-film-locations-bi icon san-francisco-film-locations-bi

Designed and developed Dimensional Model and performed data profiling, ETL operations for staging using Alteryx. Created data integration workflow in Talend to load data in AzureSQL and BigQuery DW and visualized analytical data reports dashboard using Tableau and PowerBI to get the insights and single truth story of the data

san-francisco-trees-data-analsis-bi icon san-francisco-trees-data-analsis-bi

Analysis of public data of San Francisco Tree implantation to identify the story behind the facts and numbers using Tableau , Power BI for visualization and Alteryx for data preparation and blending data for analytics and load into GCP bucket

smart-parking-management-system icon smart-parking-management-system

An IoT-based web application to book a parking spot in smart parking stations with the help of RFID tags and Raspberry Pi clusters and perform predictive analysis for car traffic using a time series algorithm

tmnist-digits-identification icon tmnist-digits-identification

We created sequential CNN model with 2 layer and after 5 rounds of training with 64 sets of data in each step we got accuracy of 99% which is pretty good for 2 layer CNN The accuracy of the model during training reached 99.38%, and the test data set reached 99.10% At each iteration the accuracy was increasing and loss was seen to be reduced marginally

university-student-enrollment-dw icon university-student-enrollment-dw

Design and develop a dimensional data model for University Student Degree Program Enrollment and Performance using data modeling tool Dataedo

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