Available for Opportunities

Hi, I'm Krishanu Das

I build |

Software Engineering student at IEM Kolkata passionate about building scalable full-stack applications and financial analytics platforms. Developer of MachFinance — a market analytics and options research platform analyzing NIFTY 50 data.

View Projects GitHub

CURRENT_STATUS

Working on project MachFinance

01. About Me

Hello! I'm Krishanu, a Computer Science student from Kolkata currently pursuing my B.Tech in CSE at the Institute of Engineering & Management with a CGPA of 9.67.

I enjoy building scalable full-stack applications and financial analytics tools. My primary stack includes ReactJS, FastAPI, Python, and SQL.

Recently I built MachFinance, a market analytics platform that processes minute- and second-level NIFTY 50 data and applies indicators like SMA, EMA, RSI, MACD, and Bollinger Bands to support quantitative market research.

9.67

Current CGPA

200+

LeetCode Problems

Education & Certs

B.Tech in Computer Science & Engineering

Institute of Engineering and Management, Kolkata

2024 - 2028 • CGPA: 9.67/10

Certifications

The Joy of Computing Using Python — NPTEL (IIT Madras) (Elite + Silver)
Data Structures and Algorithms Using Java — NPTEL (IIT Kharagpur)
Microsoft AI and ML Engineering — Microsoft
Google AI Essentials — Google

02. Experience

MachFinance – Trade with Intelligence: Your All-in-One Platform

Built a full-stack financial analytics platform for analyzing NIFTY 50 market data at minute- and second-level granularity. Developed interactive dashboards using ReactJS and a high-performance FastAPI backend to process time-series market data. Implemented technical indicators such as SMA, EMA, RSI, MACD, and Bollinger Bands, and applied the Black-Scholes model for options pricing analysis. The platform is deployed on AWS to support scalable financial data analysis and research.

ReactJS FastAPI Python Financial Analytics Options Pricing AWS

03. Featured Projects

View Github

MachFinance – Trade with Intelligence

Full-stack financial analytics platform built with ReactJS and FastAPI for analyzing NIFTY 50 market data at minute and second granularity. Implements technical indicators like SMA, EMA, RSI, MACD, and Bollinger Bands with options pricing analysis using the Black-Scholes model.

ReactJS FastAPI MongoDB Wamp Server Finance Analytics

04. Achievements

Finalist

MumbaiHacks Hackathon – Selected as a Finalist among participating teams

Hackathon Participant

Diversion 2k26 – Major League Hacking (MLH) Hackathon

2nd Prize

ICCAES 2025 - Poster Presentation

05. Technical Arsenal

Languages

Python Java C JavaScript

Frontend

React.js HTML5 CSS3 Tailwind CSS

Backend

FastAPI Node.js Express.js REST API Authentication (JWT)

Databases

MongoDB MySQL SQL

Data & Analytics

Financial Data Analysis Time Series Analysis Technical Indicators Black-Scholes Model

Tools & Core CS

Git GitHub Postman AWS Deployment Data Structures Algorithms OOP