Summary
Overview
Work History
Education
Skills
Accomplishments
Certification
Timeline
Generic

Ishita Patel

Atlanta,GA

Summary

Data Scientist familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in [Area of expertise].

Overview

6
6
years of professional experience
1
1
Certification

Work History

Data Scientist

Macys Technology
03.2021 - Current
  • Improved personalized recommendations for perfumes, top revenue generating product. Leveraged product description to curate 4 new features using NLP, made modeling changes on STAMP (NN model designed on Tensorflow), increased model performance by 2% and customer engagement by 3.7%
  • Identified potential gap in source data and experimented the model performance by assigning different weights to user events, add to bag, purchase and view across entire product catalog to show more relevant recommendations to customers in session. Yielded 1.5% higher click through rate
  • Build new feature for app users – ‘Buy Online Pick up in Store’ where personalized recommendations will be rendered for preferred store. Designed end-to-end architecture, integrated new data in the existing pipeline, modified cross co-occurrence algorithm leveraged in the backend for new feature
  • Expanded the customer base by 7-10% by targeting store customers for personalized emails. Leveraged user’s store purchases to derive personalized recommendations using cross co-occurrence algorithm resulting in better user experience. Designed architecture for new version with real-time integration and capability to leverage multiple models
  • Created Image Embeddings
  • Built an ETL job to load store customer’s data in Big Table for utilize store purchase history along with digital purchases to curate recommendations in real time
  • Created a customer feature store in BigTable after researching various technologies – Data Store, BigTable, Vextex AI, Elastic Search for latency, scalability, data manipulation, data extraction and cost.
  • Hands-on Experience with building real-time and batch data pipelines with google cloud big data tools (including open source versions like spark), modeling with standard python ML libraries, pytorch(deep learning), Kubeflow for ML workflow orchestration
  • Used Google Data Studio to create dashboards – track the health of important ETL job running daily, data quality metrics for analyzing user events (add to bag, purchase, and views), recommendations serving events
  • Migrated ETL jobs which sourced data from IDM to GCP and BigQuery
  • Analyzed the source data of all the models and identified a data loss issue
  • Interviewed potential candidates and worked with new hires to guide them through the PROS architecture and provide necessary knowledge transfer

Sr.Data Analyst

Riverdale Mills Corporation
08.2019 - 03.2021
  • Predicted supply chain demand forecasting for all product lines; built ARIMA models using statsmodel library in python identified base, trend, seasonality for different categories of products. Recommended production and purchase plan for 2021
  • Modeled linear regression algorithm to estimate shipping cost on orders using scikit-learn library in python to achieve 30%-40% savings on shipping charges than past 6 months
  • Classified quotes employing decision tree, reducing 90% of approval time and faster production requests
  • Redesigned costing model for accurate estimations by eliminating potential errors. Complemented model with dashboard created using Tableau; displaying purchase history and trends leading to 20% higher sales conversion rate
  • Amended databases - weights, bill of materials, production models by designing and deploying ETL process in SAP, rolled out correct cost for all products saving losses worth $2M/ year
  • Analyzed prices to identify overpriced and underpriced products causing loss. Determined profitable price for products based on insights gained from data. Streamlined pricing process for all products increasing profitability by roughly 75%
  • Automated old data reporting mechanism (Excel sheets) to dynamic BI Dashboards leveraging Tableau for Riverdale’s Sales, Marketing, Finance and Production team presenting visualization across different KPIs saving 95% of time
  • Wrangled data sources (sales history, production rate, customers, inventory, machine utilization, employee efficiency) to create robust dataset using MYSQL and python. Analyzed data using Power BI to uncover insights aided in decision making
  • Optimized inventory by categorizing products and devising strategies to get stagnant inventory moving
  • Collaborated with marketing team to assist with data collection, reporting and A/B test development to maximize results
  • Segmented customers on basis of buying pattern, profit earned for customized marketing campaign

Data Analyst

Sms Pumps & Engineers
01.2017 - 11.2017
  • Developed python based pipeline from scratch inputting manufacturing data and performed statistical analysis (hypothesis testing and t-tests) to determine out of control process
  • Derived statistical inference for production reports and created interactive dashboards in Tableau
  • Performed KPIV – KPOV analysis, root cause analysis with control charts built in Minitab, SPC analysis to define and measure process parameters contributing to variability
  • Collaborated with product development team to develop custom product combinations for different client segments by identifying client’s buying trends in Tableau
  • Developed SQL scripts to perform complex queries and data manipulation for product management system
  • Monitored and prepared KPI reports to provide weekly feedback on performance to ensure optimum productivity

Education

Master of Science - Data Science

Boston University
Boston, MA
05.2019

Bachelor of Science - Industrial Engineering

Pandit Deendayal Petroleum University
Gandhinagar, India
06.2016

Skills

    Python, PySpark, SQL, Data Analysis, ETL jobs, GCP, AWS, Algorithms

Accomplishments

    · Analyzed open source data of 75 airports in India - 5 inputs and 4 outputs, to evaluate operating efficiencies

    · Quantified airport performance by employing Data Envelopment Analysis; algorithm evaluates efficiency of decision making unit using multiple inputs and outputs. Validated results using Mann Whitney U test (hypothesis testing)

    Drafted research paper concluding private airports operate at higher operating efficiency. Presented and published results in 14th International Conference on DEA, Wuhan, China

Certification

AWS Certified Machine Learning Specialty (MLS)

AWS Certified Cloud Practitioner (CLF)


Timeline

Data Scientist

Macys Technology
03.2021 - Current

Sr.Data Analyst

Riverdale Mills Corporation
08.2019 - 03.2021

Data Analyst

Sms Pumps & Engineers
01.2017 - 11.2017

Master of Science - Data Science

Boston University

Bachelor of Science - Industrial Engineering

Pandit Deendayal Petroleum University

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Ishita Patel