Tushar Nagda

Software Engineer

Mumbai, Maharashtra, India1 yr 6 mos experience

Key Highlights

Passionate about finance and data science.
Ranked under 1500 in India for FPL 2023-24.
Strong analytical skills with a focus on real-world financial problems.

Stackforce AI infers this person is a Fintech-focused Software Engineer with strong analytical and quantitative skills.

Contact

Skills

Core Skills

Quantitative AnalysisData Analysis

Other Skills

.NET FrameworkADFAnalytical SkillsAngularJSApache Spark GraphXAttention to DetailBenchmarkingBig Data AnalyticsBlockchainBusiness AnalyticsC#Circuit AnalysisCloud ApplicationsCloud ComputingCluster Analysis

About

I'm a passionate Software Engineer and Data Science enthusiast, completed B.Tech in Computer Science and Engineering (Data Science) with honors in Computational Finance from Dwarkadas Jivanlal Sanghvi College of Engineering. I’m really interested in field of finance, equity markets, data science, and analytics. I enjoy diving into data, uncovering insights, and using them to solve real-world financial problems. I’m always eager to learn new tools and techniques to stay updated in this ever-evolving field. Outside of academics, I love movies, music, and sports(be it any). My passion for football and analytics came together when I ranked under 1500 in India in the FPL 2023-24 season. Apart from these i am a part-time cook.

Experience

1 yr 6 mos

Total Experience

9 mos

Average Tenure

11 mos

Current Experience

Ncs group

Associate Engineer

Jul 2025 – Present · 11 mos · Pune, Maharashtra, India · On-site

Skylife research

Quantitative Developer Intern

Aug 2024 – Mar 2025 · 7 mos · Mumbai, Maharashtra, India · On-site

Developing and backtesting Pair Trading strategy using the concept of mean reversion on cointegrated equity pairs based on various tests like ADF,KPSS,PO.
Implemented Relative Rotational Graph(RRGs) for various weighted community clusters based on network analysis that helps in understanding the sector rotation for those clusters.
Analysis of outliers detected in network graphs based on their shift in centralities and different graph statistics.

Pair Trading strategymean reversioncointegrated equity pairsADFKPSSPO+8