PARAG JAIN

Machine Learning Engineer

Bengaluru, Karnataka, India7 yrs 7 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in Machine Learning and Data Analysis.
  • Proven track record in algorithm development for portfolio management.
  • Successful internship project led to increased demand and revenue.
Stackforce AI infers this person is a Machine Learning Engineer with expertise in SaaS and algorithmic solutions for financial services.

Contact

Skills

Core Skills

Machine LearningData AnalysisAlgorithm Development

Other Skills

PythonDynamic Pricing AlgorithmCompetitive BenchmarkingCollaborative FilteringMatlabGNU OctaveCivil EngineeringTeam ManagementGraphic DesignAdobe PhotoshopAdobe IllustratorMicrosoft ExcelC++CProject Management

About

I am working as a Machine Learning Engineer at Adobe. My previous role was with Goldman Sachs as a Quantitative Strategist within their Asset Management Division, working on providing algorithmic solutions to manage portfolio risk and performance. I have built systematic strategies using statistical models and quantitative data mining, built backtesting capabilities as well as created web based applications for continuous surveillance of the client portfolios. I have also worked on providing big data solutions to the business. I am passionate about solving business use cases with the application of data via accurate, efficient and robust techniques.

Experience

7 yrs 7 mos
Total Experience
3 yrs 9 mos
Average Tenure
4 yrs 1 mo
Current Experience

Adobe

Machine Learning Engineer III

Mar 2022Present · 4 yrs 1 mo · Bengaluru, Karnataka, India

Machine LearningPythonData Analysis

Goldman sachs

2 roles

Associate

Jan 2022Mar 2022 · 2 mos

Analyst

Jun 2018Dec 2021 · 3 yrs 6 mos

Oyo

Data Science Intern

May 2017Jul 2017 · 2 mos · Gurgaon, India

  • Incorporating Market Level Oscillation of Demand into Dynamic Pricing Algorithm
  • Captured curtailment of demand faced due to OTAs in 10 cities by implementing competitive benchmarking
  • Developed algorithm to update score-based competitive sets per property by scanning 1,000,000 foreign hotels daily
  • Used collaborative filtering to compute significance level of each competitor & made OYO's pricing flexible with them
  • Proposed model resulted in 10% surge in demand, measured as average occupancy and 7% increase in overall revenue
Dynamic Pricing AlgorithmCompetitive BenchmarkingCollaborative FilteringData AnalysisAlgorithm Development

Education

Indian Institute of Technology, Roorkee

Bachelor’s Degree

Jan 2014Jan 2018

CFA Institute

CFA L1

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