Pritesh Kumar Sahani

Associate Consultant

Mumbai, Maharashtra, India4 yrs 6 mos experience

Highly Stable

Key Highlights

Gold Medalist in Information Technology from Jadavpur University
Experience as Equity Research Analyst at J.P. Morgan
Strong foundation in software development and data analysis

Stackforce AI infers this person is a Software Engineer with a strong interest in Equity Research and Financial Analysis.

Contact

Skills

Core Skills

Data AnalysisData Visualization

Other Skills

RabbitMQMongoDBPandasNLTKtextBlobMatplotLibSeabornData StructuresData MiningPython (Programming Language)Scrapy FrameworkHTML5CSS3Bootstrap 4JavaScript

About

Pritesh is a Software Engineer with 11 months of experience at iRageCapital (HFT) and a Gold Medalist from the Information Technology department of Jadavpur University. He recently explored his interest in financial markets by interning as an Equity Research Analyst at J.P. Morgan. This experience deepened his passion for fundamental analysis and sectoral insights, motivating his transition into a full-time role in Equity Research.

Experience

J.p. morgan

Equity Research Intern

Apr 2025 – Jun 2025 · 2 mos · Mumbai, Maharashtra, India · On-site

Irage broking services llp

Software Developer(HFT)

Jun 2022 – Apr 2023 · 10 mos · Mumbai, Maharashtra, India · On-site

Anchanto

Software Developer Intern

Jan 2022 – May 2022 · 4 mos · Pune, Maharashtra, India

Digilocker

Software Developer Intern

Mar 2021 – Jul 2021 · 4 mos · Kolkata, West Bengal, India

Worked with RabbitMQ and MongoDB for the data sanitization and enhancement of National Academic Depository of DigiLocker.

RabbitMQMongoDB

E-cell, jadavpur university

Coordinator

Jun 2020 – May 2022 · 1 yr 11 mos · Salt Lake City Metropolitan Area

Indian institute of management, calcutta

Data Science Intern

Mar 2020 – Aug 2020 · 5 mos · Salt Lake City Metropolitan Area

I have worked on “Digital content pertaining to Google Trends and User-generated content”, under Prof. Indranil Bose, Information Systems, IIM Calcutta.
● Created a Dataset for 150+ car models sold in India from the top 5
car review websites; making it a collection of 100k+ data items
● Data Preprocessing [Pandas]
● Single and Multivariate Analysis with different variables.
● Sentiment Analysis - Positivity, Neutrality, Negativity,
Subjectivity & Polarity using NLP [NLTK & textBlob]
● Data Visualization [MatplotLib & Seaborn]