Pushpesh Kumar

Associate Consultant

India3 yrs 10 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in quantitative research and statistical arbitrage.
Proficient in Python and machine learning applications.
Strong background in software development for financial analytics.

Stackforce AI infers this person is a Quantitative Researcher with strong software development skills in the Fintech industry.

Contact

Skills

Core Skills

Quantitative ResearchStatistical ArbitrageSoftware DevelopmentMachine Learning

Other Skills

AI DevelopmentAlgorithmsAngularAngularJSAutoCADC (Programming Language)CSSCommodity MarketsCompetitive ProgrammingDanceData AnalysisData StructuresFirebaseFull Stack DevelopmentGit

About

Quantitative Researcher with a degree from IIT Kanpur (2022). I specialize in data analysis, probability, and statistics to do statistical arbitrage and develop profitable strategies in the commodities market. Proficient in Python with experience in software development and machine learning as well. Passionate about leveraging data-driven insights to drive success in the financial sector. Let's connect!

Experience

Greenland investment management

Quantitative Research Analyst

Dec 2022 – Present · 3 yrs 3 mos · Mumbai, Maharashtra, India · On-site

Explored different commodities in multiple exchanges to find arbitrage opportunities.
Performed in-depth research on the fundamentals of commodity supply chains for modelling and algorithmic strategies.
Applied statistical techniques to time series data.

Quantitative ResearchStatistical ArbitrageCommodity MarketsStatistical AnalysisData Analysis

Raspect intelligence inspection limited

2 roles

Software Developer

Oct 2022 – Nov 2022 · 1 mo · Hong Kong SAR · Remote

Added features to a centralised platform for annotators and ML team to work on
raw images of signboards for defect detection.

Software DevelopmentMachine Learning

Technical Intern

Jun 2022 – Sep 2022 · 3 mos · Hong Kong SAR · Remote

Received full-time offer at the end of the internship.
Executed time series prediction of the cooling load in a building and optimised the hyper-parameters to lower the MAPE(Mean Absolute Percentage Error) score to 15.86.
Used Detectron2 for segmentation of pipes on images of building facades.

Time Series PredictionHyper-parameter OptimizationImage SegmentationMachine Learning

Bytelearn

Software Development Intern

Apr 2022 – Nov 2022 · 7 mos · Remote

Created over 50+ configuration files to define the flow of math problems using python script and Jinja templates for an AI based interactive platform.
Co-ordinated with the project manager, UI/UX lead and the content lead to finalize the design and functional flow for a low-code platform that will ease-out the process of creation of configuration files.
Led a team of 6 fellow interns.

PythonAI DevelopmentTeam CoordinationSoftware Development

Mtx group

2 roles

Independent Consultant

Sep 2021 – Dec 2021 · 3 mos · Hyderabad, Telangana, India · Remote

Tech Stack: Angular, Java Spring Boot, PostgreSQL, RestAPIs
Continued working on the FC Dallas sports analytic application to implement advanced functionalities and accomplish long term goals.
Created a stand-alone app component that provides the best soccer formation for any 11 filtered players from the team.
Worked closely with the product and the ML team to deliver the application.

AngularJava Spring BootPostgreSQLRestAPIsSoftware Development

Software Development Intern

Jun 2021 – Aug 2021 · 2 mos · Hyderabad, Telangana, India · Remote

Received a Pre-Placement Offer at the end of the internship.
Contributed to the full stack development of a web application for FC Dallas and successfully delivered the product in due time.
Implemented key features like authentication, search functionality, unit testing etc. along with CRUD operations for an app component.

Full Stack DevelopmentWeb Application DevelopmentSoftware Development