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Machine Learning at Workday
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am Venu K Tangirala, I write algorithms. Specialties: Deep Learning, LLM, Convolution Neural Networks (CNN), Machine Learning, Python, C++, C, Java, GPU optimization(CUDA), Apache Spark, Tensor Flow, Keras, Hadoop
San Francisco Bay University
Doctorate, Computer Engineering
January 1, 2010 – January 1, 2015
San Francisco Bay University
Masters, Computer Science
January 1, 2007 – January 1, 2008
Jawaharlal Nehru Technological University
Bachelor of Technology (BTech), Electronics and Communication
January 1, 2003 – January 1, 2007
Workday Adaptive Planning
Staff Machine Learning Engineering
April 1, 2018 – May 1, 2021
Palo Alto
Cyngn
Perception Lead, AI ML Scientist
February 1, 2017 – March 1, 2018
Palo Alto, California
Leeo
Software Engineer Machine Learning
July 1, 2014 – January 1, 2017
Palo alto
nFlate, Inc.
Co Founder and Data Scientist
January 1, 2014 – December 1, 2017
San Francisco Bay Area
IBM
Software Engineer
August 1, 2009 – August 1, 2010
Geometrics Instruments Inc.
Engineer
January 1, 2008 – December 1, 2008
San Jose , CA
Sequence Models
Coursera
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
edX Honor Code Certificate for Introduction to Big Data with Apache Spark
edX
June 24, 2026 – Present
CCD-410 Cloudera Certified Developer for Apache Hadoop
Cloudera
June 24, 2026 – Present
CCA-410 Cloudera Certified Administrator for Apache Hadoop
Cloudera
June 24, 2026 – Present
Datastax Certified Cassandra
DataStax
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning various companies from startups (nFlate, Leeo, Cyngn) to large enterprises (IBM, Workday Adaptive Planning). This indicates adaptability to different work environments. The roles are heavily focused on Machine Learning and Data Science, which aligns with a data-driven culture. However, the target role is 'Data Analyst', which is a significant shift from their senior ML/Data Scientist roles. This might indicate a potential mismatch in expectations or a desire to pivot, which needs further exploration to ensure cultural and role fit.
Soft Skills & Operational Fit
The candidate's resume indicates a strong technical background with leadership experience (Perception Lead, Co-Founder). However, without psychometric test results or interview data, it is difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional setting. The detailed descriptions for some roles suggest an ability to articulate technical contributions.