about myself

Hi, I'm Ashish. I analyze data to tell stories. I am a Data Scientist at Apple. When I am not at work, I am mostly working on my music and learning about new technologies. I live in Dallas, Texas, where I enjoy cold beverages, books, music and cricket.

I have a diverse set of skills, ranging from Python, R, Spark, SQL, Tableau, Statistical Modeling, Machine Learning, Natural Language Processing (NLP) and Big Data Analytics. I am passionate about finding insight that never once was discovered before, and leading to new questions.

M o r e I n f o R e s u m e

Project Portfolio

Here's a glimse of some of my best work. Stay tuned!
Hover to view project description, Click to view the details.

  • All Categories
  • Python
  • R
  • SAS
  • Excel
  • Tableau
  • Hive
  • Spark
  • Machine Learning
  • Deep Learning
  • NLP

Sign Language Interpreter

UNT Hackathon 2019

Telecom Churn Modeling

Academic Project

Audit Risk Prediction for a Financial Firm

Academic Project

Breast Cancer Classification

Personal Project

PUBG Game Data Analysis

Academic Project

Chatbot using LUIS

Divergence.ai

Restaurant Inspection Data Analysis

INFORMS Analytics Challenge

Twitter Sentiment Analysis

Personal Project

Speech Recognition using Neural Networks

Personal Project

Embedding Power BI into Mobile Application

Divergence.ai

Credit Card Fraud Detection

Personal Project

Healthcare Data Challenge

Data Science Club Analytic Challenge

Experience and Education

Here's a glimpse of my professional and academic journey.

ML Engineer

Apple - Austin

May '22 to Present
Transformed Apple's operations with data-driven integration, AutoML framework, and real-time BI dashboards, resulting in annual savings of over $9 million while improving refund abuse reduction and machine learning models

Data Scientist

Cotiviti - Remote

Jun '20 to May '22
Improved the payment accuracy solution, expediting the claim review process by 25%, automating 150k claims per month, resulting in $3.5 million annual savings using state of the art Machine Learning (Light GBM) and Deep Learning (Deep cross networks) model architectures

Data Scientist Co-op

Cotiviti - Atlanta, Georgia

Aug '19 to Apr '20
Developed data pipelines in Azure Data Factory using PySpark to create a reference table with linkages between 12 million providers and their affliated organizations, which could be used for reporting in Power BI to help payers get a detailed insight about their network providers.

Data Science Intern

Divergence.ai - Dallas, Texas

Jun '19 to Aug '19
Worked with the Data Science team to create POC for an advanced chatbot using JavaScript, Node.js, Python, Natural Language Processing, and SQL Server, and integrated it with LUIS and PowerBI embedded to help intelligence reach out to every customer.

MS in Data Science

University of Texas at Dallas - Dallas, Texas

Aug '18 to May '20
Learned data extraction and polishing techniques, statistical analysis, machine learning, big data tools, predictive modeling, data variation and validation, linear and quadratic analysis, natual language processing and data visualization techniques.

Data Analyst

Cognizant Technology Solutions - Pune, India

Jan '15 to Feb '18
Performed descriptive analysis and predictive modeling on historical customer data of an Insurance client, to predict the purchase likelihood of a customer who has been offered a quotation.

Electronics Engineering

JUIT - Solan, India

Aug '10 to Jun '14
I graduated with an undergraduate degree in electronics and communication engineering. Learned about cutting-edge communication technologies and engineering techniques.

Analysis Tools & Programming

Here's a glimpse of some of the tools that I am most proficient in.

Statistics & Econometrics

R | SAS | Excel

Machine Learning

Python | Spark | R

Database System

SQL Server | My SQL | Oracle

Data Visualization

Tableau | Power BI | QlikView

Contact Me

Want to work together? Let's talk!

+1.214.986.0577

hello@sharma-ashish.com

www.sharma-ashish.com

H i r e M e