Image of Nitin Aggarwal

Nitin Aggarwal's email & phone number

Head of Cloud AI Industry Solutions Services (India)

Nitin Aggarwal's Email Addresses & Phone Numbers

Nitin Aggarwal's Work Experience

Google

Technical PM, Cloud AI

Google

Lead Technical PM, Cloud AI

Google

Technical Program Manager, Cloud Machine Learning

Nitin Aggarwal's Education

Stanford University Graduate School of Business

Executive Education, Corporate Innovation and Leadership

2019 to 2020

Johns Hopkins Bloomberg School of Public Health

Executive Data science, Data Processing

Indian Institute of Technology, Kanpur

Master of Business Administration (M.B.A.), Business Analytics and Operations management, Gold Medal

2013 to 2015

Nitin Aggarwal's Professional Skills Radar Chart

Based on our findings, Nitin Aggarwal is ...

Strong sense of self
Expedient
Analytical

What's on Nitin Aggarwal's mind?

Based on our findings, Nitin Aggarwal is ...

56% Left Brained
44% Right Brained

Nitin Aggarwal's Estimated Salary Range

About Nitin Aggarwal's Current Company

Google

Frequently Asked Questions about Nitin Aggarwal

What company does Nitin Aggarwal work for?

Nitin Aggarwal works for Google


What is Nitin Aggarwal's role at Google?

Nitin Aggarwal is Technical PM, Cloud AI


What is Nitin Aggarwal's personal email address?

Nitin Aggarwal's personal email address is n****[email protected]


What is Nitin Aggarwal's business email address?

Nitin Aggarwal's business email address is [email protected]***.***


What is Nitin Aggarwal's Phone Number?

Nitin Aggarwal's phone (**) *** *** 414


What industry does Nitin Aggarwal work in?

Nitin Aggarwal works in the Information Technology and Services industry.


About Nitin Aggarwal

💼 Past Experience

Nitin Aggarwal’s Work experiences:Technical PM at Google, Cloud AI in Hyderabad, India, March 2016-March 2018. Nitin Aggarwal is currently a data scientist at Google from March 2016 to March 2018 in Hyderabad, India. 1. Conduct systematic investigations to identify fraudulent transactions, malicious intent and policy violations and identify product vulnerabilities using sophisticated technologies like machine/Deep learning on Images, text and different types of Data2. Developed image processing based spam identification solution that prevented multi-billion bad impressions for a product (received Risky innovator award from VP for this)3. Develop intelligence and insight from data stores and feed them back into investigative systems to improve preventive action, introduce automation and drive process improvements.4. Collaboration with cross-functional groups such as Engineering, Sales, and Legal to increase automation, update policies, fix product loopholes, and provide a better online experience for users (Worked with 10+ different teams spanned across 8 geographical locations across the globe and 5 different time zones)5. Managed full life cycle of global projects (from Project planning to closure) and Improved holistic customer experience through out their lifetime (SLAs improved by ~300%)6. Machine learning & Tensorflow trainer for Software engineers, Product Managers and Analysts; ML curriculum developed for executive audienceSkills using:Business analysis, statistical analysis (Prescriptive and predictive analysis), Program management, Agile methodology, data visualization, Text data mining (NLP), Image/Video processing and machine/deep learningTools using:R, Python, SQL, Tableau, Data studio, Google BigQuery (BQ), Tensorflow, Image processing (Vision),Attended 3 week advanced machine learning training program at Google Cambridge, US office. Google Cloud Big Data & Machine Learning Green Belt. Lead Assistant Manager (Healthcare Machine Learning) at Inductis from June 2015 to March 2016 (10 months) in Noida Area, India. 1. Healthcare Analytics – Check for claims overpayment and outlier detection using unsupervised methods like clustering, for one of the major US Healthcare giant2. Operations Analytics – Identify First Call Resolution (FCR) to improve customer service experience and CSAT (Customer Satisfaction) Score, Text mining to categorize feedback and suggestions, Association rules Mining to predict range of probable categories within pre-determined confidence and support levelsSkills: Team management, Project management (Agile & Waterfall), Client management, SAS, SQL, R, Tableau and VBA (Excel Macros)Tools using:R, Python, SQL, Tableau, Data studio, Google BigQuery (BQ), Tensorflow, Image processing (Vision)Attended 3 week advanced machine learning training program at Google Cambridge, US office. Google Cloud Big Data & Machine Learning Green Belt. Lead Assistant Manager (Healthcare Machine Learning) at Inductis from June 2015 to March 2016 (10 months) in Noida Area, India.2. Developing and managing highly technical (ML and AI based) projects for GCP (Google Cloud Platform); Designing technical architecture, planning & strategy, code reviews and solution


🎓 Education

Nitin Aggarwal's educational background allows him to offer a unique — and relevant — educations experience that would be beneficial to any business or professional individual. Aggarwal's experience, education and education-related skills would be invaluable to any organization looking to propel forward and achieve long-term success.While at Stanford, Aggarwal was awarded an Executive Education award for his work in data science, data processing and business analytics. Aggarwal also received a Gold medal for his work in molecular biology and genetics from the Indian Institute of Technology, Kanpur. Aggarwal then went on to receive a Master of Business Administration (M.B.A.) from the Johns Hopkins Bloomberg School of Public Health, where he focused on business analytics and operations management. In 2013, he won a silver medal for his work in electronics and communications engineering from Maharshi Dayanand University. Finally, in 2015, he won a gold medal for his work in molecular biology and genetics from the Indian Institute of Technology, Kanpur.Nitin Aggarwal's education and experience allows him to offer an unique, relevant and professional education experience that is beneficial to any individual looking to attain professional success. Aggarwal's skills and educations would be invaluable to any organization looking to propel forward and achieve long-term success.


💡 Technical & Interpersonal Skills

Nitin Aggarwal's Experience:Technical PM, Cloud AI at Google, Hyderabad Area, India, March 2016-March 2018Cloud AI at Google, Hyderabad Area, India, March 2016-March 2018 Technical PM, Cloud AI at Google, San Francisco Bay Area, US during June 2015-March 2016Cloud AI at Google, San Francisco Bay Area, US during June 2015-March 2016 Operations Manager, Cloud AI at Google, Hyderabad Area, India, March 2016-March 2018Operations Manager, Cloud AI at Google, Hyderabad Area, India, March 2016-March 2018 Software Engineer, Compro Technologies, Delhi, October 2011-June 2013Software Engineer, Compro Technologies, Delhi, October 2011-June 2013 Data Scientist, Cloud AI at Google, Hyderabad Area, India, March 2016-March 2018Data Scientist, Cloud AI at Google, Hyderabad Area, India, March 2016-March 2018 Investigative Data Scientist, Cloud AI at Google, Hyderabad Area, India, March 2016-March 2018Investigative Data Scientist, Cloud AI at Google, Hyderabad Area, India, March 2016-March 2018 Business Analyst, Cloud AI at Google, Hyderabad Area, India, March 2016-March 2018Business Analyst, Cloud AI at Google, Hyderabad Area, India, March 2016-March 2018Sales Representative, Cloud AI at Google, Hyderabad Area, India, May 2014-July 2014Sales Representative, Cloud AI at Google, Hyderabad Area, India, May 2014-July 2014 Legal Representative, Cloud AI at Google, Hyderabad Area, India, June 2015-March 2016Legal Representative, Cloud AI at Google, Hyderabad Area, India, June 2015-March 2016


Nitin Aggarwal’s Personal Email Address, Business Email, and Phone Number

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In a nutshell

Nitin Aggarwal's Personality Type

Introversion (I), Intuition (N), Thinking (T), Judging (J)

Average Tenure

2 year(s), 0 month(s)

Nitin Aggarwal's Willingness to Change Jobs

Unlikely

Likely

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