Niranjan Kannan profile photo 2 on Tal
Niranjan Kannan profile photo 1 on Tal
Niranjan Kannan profile photo 2 on Tal
Niranjan Kannan profile photo 1 on Tal

Niranjan Kannan

Fintech | Enterprise GTM | Product & Technical Solutioning | APIs • Data • AI | Product • Partnerships • Developer Platforms | Ex-CoinDCX

Bengaluru

4+ years of work experience

CoinDCX
Sep 202510 mosJun 2026

Bengaluru, Karnataka, India

Owned the end-to-end enterprise customer lifecycle for institutional trading firms, from executive outreach and technical discovery through commercial negotiation, onboarding, API integration, platform activation and account growth. • Led discovery with founders, CEOs, Heads of Trading and engineering teams across proprietary trading firms, HFTs, market makers, brokers and institutional trading desks. • Diagnosed requirements around API workflows, WebSockets, latency, liquidity, leverage, brokerage, trading infrastructure and algorithmic strategies. • Partnered with Product, Engineering, API, Compliance, Legal, and Operations teams to translate enterprise requirements into implementation plans, evaluate feature requests, and accelerate client onboarding and activation. • Served as the technical-commercial bridge between customers and internal teams, coordinating technical discussions, integration issues and product requirements through implementation. • Drove enterprise client onboarding and platform adoption, supporting clients with potential of US$3B+ in monthly trading volume and contributing directly to transaction-based company revenue. • Recognized as a “Super Satoshi” in December 2025 for outstanding performance and contribution to the business. • Managed post-onboarding relationships and product adoption, driving trading activity and identifying expansion opportunities.
Freelance
Aug 20241 yr 2 mosSep 2025

As a freelance data analyst, I’ve worked at the intersection of finance and data, building solutions to support smarter trading decisions and robust risk management. My work includes: Analyzing financial data from equities and options markets using Python and SQL to uncover patterns, trends, and anomalies. 
 Backtesting and optimizing trading strategies using tools like Backtrader and PyAlgoTrade, improving performance metrics like Sharpe ratio and drawdowns. 
Modeling portfolio risk through Monte Carlo simulations and Value at Risk (VaR) to evaluate downside exposure under market stress. 
Building dashboards in Tableau and Streamlit to visualize portfolio performance, technical indicators, and custom KPIs. 
Delivered analytics tools and reports to individual investors, helping automate workflows and reduce manual reporting time by up to 40%. Tools: Python (Pandas, NumPy, yFinance, Backtrader), SQL, Tableau, Streamlit, Excel Focus Areas: Quantitative Analysis, Risk Modeling, Technical Analysis, Options Analytics, Automation
Teedians Community
20233 yrs 2 mosFeb 2026

Directorate of Student Affairs, SRMIST (DSA)
Feb 20223 yrs 4 mosMay 2025

GitHub Community SRM
20221 yr 8 mosAug 2023

Niranjan’s AI Stack

antigravity
antigravity
claude code
claude code
claude
claude
cursor
cursor
notion
notion
ChatGPT
ChatGPT

Education

SRM IST Chennai

Bachelor of Technology - BTech, Computer science and engineering

SRM IST Chennai

20214 yrs2025

High school, Computer/Information Technology Administration and Management

SKV Vidyaashram

20192 yrs2021

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Headline

Fintech | Enterprise GTM | Product & Technical Solutioning | APIs • Data • AI | Product • Partnerships • Developer Platforms | Ex-CoinDCX

About

You have 60 seconds. I’ll make this worth the scroll. 👀 No “results-driven professional” paragraph. I promise😌 I’ve spent the last couple of years working where business, customers, technology and data meet, figuring out what customers actually need and how to turn those needs into something that can actually be implemented. At CoinDCX, I was one of the core members of the Enterprise GTM team, working with institutional trading firms, HFTs, brokers, market makers, trading desks and other professional participants across crypto markets and API-driven infrastructure. My work went well beyond traditional sales: Customer discovery → requirements → technical solutioning → Product/Engineering → API integration → onboarding → adoption → account growth. I worked closely with Product, Engineering, API, Compliance, Legal and Operations to translate customer requirements into technical requirements, integration workflows and solutions that could actually be implemented. Along the way, I worked on: • Enterprise GTM & customer discovery • Technical requirements & solutioning • APIs, integrations & trading infrastructure • Product/Engineering collaboration • Customer onboarding & product adoption • SQL, Python, ETL & data analytics And apparently, I enjoy talking to engineers enough to voluntarily learn what their APIs are doing. Before that, I worked on the quantitative side of financial markets, building Python/SQL data pipelines, Monte Carlo models, sentiment-analysis systems and ML-based solutions. I also built Alphabot, an AI-powered stock selection engine using LSTM and XGBoost, because apparently working with markets wasn't enough, so I decided to build one too😭 It achieved 88.7% prediction accuracy and a 13.7% portfolio return uplift over benchmark. These days, I’m interested in problems at the intersection of: Product • Enterprise GTM • Technical Solutions • Fintech • APIs • Data • AI I like understanding why something works, where the friction is, and where the leverage actually sits, whether that's in a product, a business model, an API, or a market. If you're building something interesting in that space, we should probably talk. P.S. You made it past 60 seconds. So technically, this was a successful product experience😌

Location

Bengaluru

AI stack

antigravity

claude code

claude

cursor

notion

ChatGPT

Work experience

Business Development Executive - Enterprise Business at CoinDCX, Sep 2025 - Jun 2026 · 10 mos, Bengaluru, Karnataka, India, Owned the end-to-end enterprise customer lifecycle for institutional trading firms, from executive outreach and technical discovery through commercial negotiation, onboarding, API integration, platform activation and account growth. • Led discovery with founders, CEOs, Heads of Trading and engineering teams across proprietary trading firms, HFTs, market makers, brokers and institutional trading desks. • Diagnosed requirements around API workflows, WebSockets, latency, liquidity, leverage, brokerage, trading infrastructure and algorithmic strategies. • Partnered with Product, Engineering, API, Compliance, Legal, and Operations teams to translate enterprise requirements into implementation plans, evaluate feature requests, and accelerate client onboarding and activation. • Served as the technical-commercial bridge between customers and internal teams, coordinating technical discussions, integration issues and product requirements through implementation. • Drove enterprise client onboarding and platform adoption, supporting clients with potential of US$3B+ in monthly trading volume and contributing directly to transaction-based company revenue. • Recognized as a “Super Satoshi” in December 2025 for outstanding performance and contribution to the business. • Managed post-onboarding relationships and product adoption, driving trading activity and identifying expansion opportunities.

Independent Data Analyst | Stock Trading and Risk Optimisation at Freelance, Aug 2024 - Sep 2025 · 1 yr 2 mos, As a freelance data analyst, I’ve worked at the intersection of finance and data, building solutions to support smarter trading decisions and robust risk management. My work includes: Analyzing financial data from equities and options markets using Python and SQL to uncover patterns, trends, and anomalies. Backtesting and optimizing trading strategies using tools like Backtrader and PyAlgoTrade, improving performance metrics like Sharpe ratio and drawdowns. Modeling portfolio risk through Monte Carlo simulations and Value at Risk (VaR) to evaluate downside exposure under market stress. Building dashboards in Tableau and Streamlit to visualize portfolio performance, technical indicators, and custom KPIs. Delivered analytics tools and reports to individual investors, helping automate workflows and reduce manual reporting time by up to 40%. Tools: Python (Pandas, NumPy, yFinance, Backtrader), SQL, Tableau, Streamlit, Excel Focus Areas: Quantitative Analysis, Risk Modeling, Technical Analysis, Options Analytics, Automation

Community Manager at Teedians Community, 2023 - Feb 2026 · 3 yrs 2 mos

Comittee Head - Discipline Committee at Directorate of Student Affairs, SRMIST (DSA), Feb 2022 - May 2025 · 3 yrs 4 mos

Corporate Member at GitHub Community SRM, 2022 - Aug 2023 · 1 yr 8 mos

Education

Bachelor of Technology - BTech, Computer science and engineering, SRM IST Chennai

High school, Computer/Information Technology Administration and Management, SKV Vidyaashram

Public links

github: https://github.com/Nxjndata

nxjndata.github.io: https://nxjndata.github.io/Portfolio-Website/

medium: https://medium.com/@niranjankannan