Payoj Jain

Co-Founder

Bengaluru, Karnataka, India9 yrs 5 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Co-Founder and CPO at Teachmint with extensive product building experience.
Expertise in Machine Learning and Data Science with a strong academic background.
Led data-driven projects in Fintech, enhancing predictive analytics capabilities.

Stackforce AI infers this person is a Data Science and Machine Learning expert with a focus on Fintech solutions.

Data ScienceMachine Learning

ARMCSSComputer ScienceCore JavaData AnalysisData StructuresEclipseFinancial ForecastingHTMLJavaScriptLinuxMatlabMySQLNetBeansNumPy

9 yrs 5 mos

Total Experience

1 yr 11 mos

Average Tenure

6 yrs 3 mos

Current Experience

Mar 2020 – Present · 6 yrs 3 mos · Bengaluru, Karnataka, India

Oct 2019 – Jun 2020 · 8 mos · Gurgaon, India

2 roles

Jan 2018 – May 2019 · 1 yr 4 mos · Boulder, CO

Holding recitation sessions for 50 undergraduates once a week to review topics in data structures presented by the professor in the class
Aiding students with their home-works, projects and quizzes by guiding them how to approach a problem statement and get the best possible solution
Responsible for setting up and grading students' home-works, quizzes and lab assignments.

Jan 2018 – May 2018 · 4 mos · Boulder, CO

Assisted professor with the course structuring including designing and grading assignments
Held 15 hours of office-hours per week to aid students with their projects and assignments

Aug 2016 – Mar 2017 · 7 mos · New Delhi, Delhi, India

2 roles

Jul 2015 – May 2016 · 10 mos · Noida Area, India

Developed RESTful APIs and backend services for products in EconomicTimes.com. Tech stack involved J2EE, spring, hibernate, MySQL
Implemented services on integrating information and latest news on various emerging businesses, startups, investors etc.

May 2014 – Jul 2014 · 2 mos · Noida Area, India

Financial Forecasting:
Worked in Economic Times Division at Times Internet Limited as a Software Developer Intern. Project was to develop a screener which anticipated stock price movements for intraday trading
Analysed statistics of stock prices on data of over 10 years using technical charts
Designed and developed screener; takes stocks as input and extrapolates on stock price movement in future