Paras Tehria

AI Researcher

San Francisco, California, United States8 yrs experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in building machine learning models.
  • Proven track record in data analysis and automation.
  • Strong background in cyber security initiatives.
Stackforce AI infers this person is a Machine Learning Engineer with expertise in Cyber Security and Data Analysis.

Contact

Skills

Core Skills

Machine LearningData AnalysisCyber Security

Other Skills

PythonDeep LearningWeb ScrapingUnsupervised LearningClustering TechniquesRR programmingCMicrosoft OfficeLeadership

Experience

8 yrs
Total Experience
2 yrs
Average Tenure
2 yrs 3 mos
Current Experience

Meta

Software Engineer - Machine Learning

Feb 2024Present · 2 yrs 3 mos · San Francisco Bay Area · On-site

  • Member of the Instagram Graph Ranking team, focusing on leveraging large-scale graphical data to recommend interests and connect users with their desired friend accounts on the IG platform.
Machine LearningData AnalysisPython

Linkedin

Software Engineer - Machine Learning

May 2022Feb 2024 · 1 yr 9 mos · New York, New York, United States

  • Member of the Ads AI team solving ads ranking problems
Machine LearningData AnalysisPython

Columbia university in the city of new york

Graduate Teaching Assistant

Sep 2021May 2022 · 8 mos · New York City Metropolitan Area

  • Worked as a TA for the course COMSE6998 "Practical Deep Learning Systems Performance" for Fall 2021 and Spring 2022 semesters.

Bidgely

Data Scientist / Machine Learning Engineer

May 2018Aug 2021 · 3 yrs 3 mos · Bangalore

  • Worked as a part of the data science team responsible to build end-to-end machine learning models for energy disaggregation
  • Developed the entire pipeline to disaggregate Non-Smart meter(NSM) data into appliance level energy consumption resulting in 10x improvement in throughput; the pipeline is currently live for 4 million homes across the world
  • Implemented deep learning techniques including Convolutional Neural Network (CNN) and Long short-term memory(LSTM) for various research tasks
Machine LearningData AnalysisDeep Learning

Wipro limited

Summer Intern

May 2017Jul 2017 · 2 mos · Greater Chennai Area

  • Wipro Limited is an Information Technology Services corporation headquartered in Bengaluru, India.
  • Project Title: Security Information and Event Management Automation
  • Received a Pre-placement offer for exceeding expectations across deliverables
  • Worked at the Global Security Operation Center (GSOC) of Wipro as a part of the team providing Cyber Security and Risk Services to global clients
  • Automated the process of categorization of threat intelligence feed by developing a set of rules and using web scraping
  • Advised the team on the integration of Malware Information Sharing Platform (MISP), which is now under implementation, to improve immunity of the organization towards cyber threat
  • Developed program helped in improving efficiency, reducing latency and was shared with the concerned client

Student welfare group, iit kharagpur

Student Mentor

Aug 2016Apr 2017 · 8 mos · Kharagpur I, India

  • The Student Mentorship Programme (SMP) is an initiative by Student Welfare Group (SWG), IIT Kharagpur, a student body under Dean of Student Affairs, IIT Kharagpur
  • Selected as one of the Mentor from Department of Mechanical Engineering, IIT Kharagpur to help the First year students to bring a balance in their Academics and Extracurricular life

Flytxt

Summer Internship

May 2016Jul 2016 · 2 mos · Mumbai Metropolitan Region

  • Flytxt is a customer data analytics software product company headquartered in Amsterdam, Netherlands
  • Project Title: Cross-Sell and Up-Sell Analysis
  • Project Mentor: Dr. Rahul Vyas and Mr. Rohit Roy
  • Developed an unsupervised learning model which helped the client telecom company to generate more revenue from customers
  • Used various rules and clustering techniques to find cross-sell and upsell opportunities for the customers based on their usage history
  • Performed market basket analysis using apriori algorithm to recommend next best offer for the customer and obtained an accuracy of 74%
  • Built an interactive web application by using R shiny package showing the strategies used

Education

Columbia University

Master of Science - MS — Computer Science

Indian Institute of Technology, Kharagpur

Bachelor's degree

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