San Francisco Bay Area
BBC Worldwide
Data Analytics Consultant & Manager
August 2015 to December 2015
Greater Los Angeles Area
Software Engineering Institute | Carnegie Mellon University
Data Scientist Intern
June 2015 to August 2015
Greater Pittsburgh Area
Pittsburgh National Corporation (PNC) Bank
Data Scientist
April 2015 to June 2015
Greater Pittsburgh Area
Google, Social Marketing Tools
Social Media Strategy Student Consultant
January 2015 to May 2015
California Area
Carnegie Mellon University - H. John Heinz III College
Datawarehouse developer - Graduate Teaching Assistant
January 2015 to March 2015
Thorogood Associates
Business Intelligence Consultant
July 2012 to June 2013
INSZoom
Data Engineer
August 2016 to June 2017
San Francisco Bay Area
Silicon Valley Social Venture Fund - SV2
Partner
AppDynamics
Senior Data Science Engineer
San Francisco Bay Area
Deloitte Consulting
Consultant/Senior Consultant
July 2017 to December 2019
San Francisco Bay Area
1. Delivered critical recommendations on video content attributes that drive user engagement on Dr. Who TV Series YouTube channel by applying advanced statistical regression techniques using R.2. Created surveys by identifying important video features that matter and crowd sourced the video attribute identification. Used R and Excel for data cleaning.3. Designed and optimized Human Intelligence Tasks for... 1. Delivered critical recommendations on video content attributes that drive user engagement on Dr. Who TV Series YouTube channel by applying advanced statistical regression techniques using R.2. Created surveys by identifying important video features that matter and crowd sourced the video attribute identification. Used R and Excel for data cleaning.3. Designed and optimized Human Intelligence Tasks for data collection using Amazon Mechanical Turk. 4. Built a dash board using R shiny to report correlation metrics and visualizations between content attributes5. Technologies used: R, R-Shiny, MS Excel, Amazon Mechanical Turk
What company does Sneha Challa work for?
Sneha Challa works for BBC Worldwide
What is Sneha Challa's role at BBC Worldwide?
Sneha Challa is Data Analytics Consultant & Manager
What industry does Sneha Challa work in?
Sneha Challa works in the Information Technology and Services industry.
Who are Sneha Challa's colleagues?
Sneha Challa's colleagues are Naoko Miyamoto, Janel Griffin, Anirudh Kashyap, Arezu A., David Linthicum, Raj Tilwa, Claire Wu, Aasheesh Ahuja, Debra Schwitzer, and Frida Ronéus
💼 Past Experience
Sneha Challa has a Bachelor's degree in computer science from Indian Institute of Technology (IIT) Jammu and Kashmir. She has three years of experience working in the field of data analytics and has delivered critical recommendations on video content attributes that drive user engagement on Dr. Who TV Series YouTube channel by applying advanced statistical regression techniques using R. She also created surveys by identifying important video features that matter and crowd sourced the video attribute identification. She also used R and Excel for data cleaning and has been involved in designing and optimization Human Intelligence Tasks for data collection using Amazon Mechanical Turk. In her previous work, she was a data engineer atinszoom and helped students reinforce the concepts taught in lectures and over see their class projects.
🎓 Education
Sneha Challa has a B.S. in Computer Science Engineering from Birla Institute of Technology and Science. Sneha Challa also holds a Master in Information Systems Management from Carnegie Mellon University. Sneha Challa is currently an H. John Heinz III College graduate student working towards her PhD in Information Systems Management at the Pennsylvania State University.
💡 Technical & Interpersonal Skills
Sneha Challa has a background in data analysis, data engineering, and business intelligence. She was a Data Analyst at BBC Worldwide where she delivered critical recommendations on video content attributes that drive user engagement on Dr. Who TV Series YouTube channel. She also created surveys by identifying important video features that matter and crowd sourced the video attribute identification. She used R and Excel for data cleaning and made data VISIBLE with R and excel. She was also a data journalist at Pittsburgh National Corporation (PNC) Bank where she implemented advanced fast subset scan and search algorithms that reduced the anomalous event detection time from exponential to linear time in real-time multi variate financial transactions data. She also implemented the 3 different versions of Multivariate Linear Time Subset Scaning algorithm using object Oriented Programming in Python. She was also a social media specialist at Google where she identified potential millennial groups which could have the maximum impact on growing the Google Plus network. She was also a data analyst for AppDynamics where she advised, architected and implemented AI solutions for Fortune 500 companies. In her previous positions, she has worked with Professor John R. Shantz (CEO of Datawarehousing LLC) in aiding the students better understand the course material for Datawarehousing course offered at Heinz College, CMU and also guiding students teams on their Datawarehousing projects.
Introversion (I), Intuition (N), Thinking (T), Judging (J)
0 year(s), 9 month(s)
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