Sneha Runwal

AI Researcher

Cupertino, California, United States13 yrs 6 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Over 5 years of experience in Machine Learning.
  • Expertise in Time Series Modeling and Anomaly Detection.
  • Strong background in Data Analytics and Business Intelligence.
Stackforce AI infers this person is a Machine Learning Engineer with a strong focus on Data Science and Analytics.

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Skills

Other Skills

AlgorithmsAnalyticsBig DataBusiness IntelligenceBusiness StrategyCC++Core JavaData AnalysisData MiningData ModelingData StructuresHadoopJSPJava

About

Experienced Machine Learning Engineer with over 5 years of expertise in blending Data Science with Strategy Specialities: Time Series Modeling, Anomaly Detection, CLTV Prediction, Machine Learning, Data Analytics, Data Modeling, Business Intelligence & Data Mining

Experience

Apple

4 roles

Manager, Machine Learning

Promoted

Jun 2020Present · 5 yrs 9 mos

Senior Machine Learning Engineer

Apr 2018May 2020 · 2 yrs 1 mo

Machine Learning Engineer

Promoted

Dec 2016Mar 2018 · 1 yr 3 mos

Data Scientist

Nov 2014Dec 2016 · 2 yrs 1 mo

Product school

Instructor

Mar 2018Dec 2018 · 9 mos · San Francisco Bay Area

Springboard

Data Science Mentor

Aug 2015Dec 2017 · 2 yrs 4 mos

Good.co

Data Analytics and Data Science Intern

Jan 2014Oct 2014 · 9 mos · San Francisco Bay Area

Infosys

Summer Intern (Compensation & Benefits Analytics)

Apr 2012Jun 2012 · 2 mos · Bengaluru, Karnataka, India

  • A) Framework Design of MIS for Compensation & Benefits
  • o Developed MIS Dashboard to track and analyze employee productivity based on Balanced Scorecard Method
  • o Identified key metrics to measure performance of the team and linked them to hard and soft skills to give actionable recommendations
  • B) Future Wage Cost Prediction Based on Cost-Revenue Trend Analysis
  • o Developed a wage cost predictor using linear regression and trend analysis to give an estimate of future wage cost
  • o Identified cost-influencing variables and calculated their percentage contribution through a combination of ANOVA and regression

Cisco systems

EMS Development Software Engineer

Jul 2010Apr 2011 · 9 mos · Pune/Pimpri-Chinchwad Area

  • o Worked on the Web Based Element Management System (WEM) software for handling the Network components
  • o Developed UI using Java and Javascript to provide online front end Network Element management to Telecom operators
  • o Specialized in modules that dealt with customer call related data management and call routing using C, C++ and Java

Azingo inc. (motorola mobility)

Project Intern

Jul 2009Apr 2010 · 9 mos · Pune/Pimpri-Chinchwad Area

  • Multi-touch Multi-pointer Gesture support for Linux based Mobiles
  • o Developed a middleware framework using X-Server, GDK, GTK+ to enable software level support for detection of multi-touch and multi-pointer pluggable gestures in Linux based Mobile devices
  • o Worked on multi-pointer X Server (MPX) installation on Linux, understanding X-Input extensions 1.x and 2.x and comprehending the event handling mechanism of GTK+
  • o Wrote generic gesture libraries which could interpret multi-touch gestures and wrote a demo application which could utilize those multiple gestures

Education

Indian Institute of Management, Indore

PGP

Jan 2011Jan 2013

University of California, Santa Cruz - Extension

Data Analytics and Data Science

Jan 2014Jan 2014

Pune Institute of Computer Technology

B.E. — Information Technology

Jan 2006Jan 2010

Holy Cross English High School

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