Utkarsh Sinha

Software Engineer

Bengaluru, Karnataka, India2 yrs 11 mos experience

Most Likely To Switch

Key Highlights

Developed automated modeling pipelines saving 160 man-hours weekly.
Strong analytical mindset from quantitative analysis experience.
Hands-on experience with MERN stack and responsive applications.

Stackforce AI infers this person is a Full-Stack Developer with a strong background in Fintech and quantitative analysis.

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Skills

Core Skills

PythonQuantitative AnalysisFinancial AnalysisMarket Research

Other Skills

AlgorithmsAnalytical SkillsAutomated Modeling PipelinesBack-End Web DevelopmentC++Cascading Style Sheets (CSS)CommunicationComputer ScienceData CommunicationData HandlingData StructuresDocumentationFinancial ModelingFront-End DevelopmentGit

About

I am a Full-Stack Developer with hands-on experience in the MERN stack and building responsive applications using React, Next.js, and Tailwind CSS. I am passionate about creating intuitive user interfaces and developing scalable backend solutions. Before transitioning into development, I worked as a Quantitative Analyst at Dolat Capital, where I automated complex processes and built trading models using Python. I also interned at Nomura, where I performed financial analysis and automated key operational processes, enhancing efficiency. These experiences have helped me develop a strong analytical mindset, which I apply to problem-solving in development.

Experience

2 yrs 11 mos

Total Experience

11 mos

Average Tenure

1 yr 6 mos

Current Experience

Cura care

Software Development Engineer I

Dec 2024 – Present · 1 yr 6 mos · Bengaluru, Karnataka, India · On-site

Career break

Career transition

Jun 2024 – Dec 2024 · 6 mos · Patna, Bihar, India

Dolat capital

Quantitative Analyst

Jul 2023 – Jun 2024 · 11 mos · Mumbai, Maharashtra, India · On-site

Spearheaded the development and deployment of automated modeling pipelines using Python libraries, resulting in a weekly time-saving of approximately 160 man-hours.
Managed file and directory operations within the pipeline using Os, Shutil, and Glob for seamless data handling.
Enhanced pipeline flexibility by integrating Subprocess for executing command-line interfaces.
Developed and maintained comprehensive documentation for automated modeling pipelines, ensuring clarity and ease of use for team members and future projects.
Collaborated with senior analysts to refine quantitative models, resulting in 5-7% increase in predictive accuracy for market trends.

PythonAutomated Modeling PipelinesData HandlingDocumentationQuantitative Analysis

Nomura

Intern, Acqisition and Leveraged Finance

Jan 2023 – Jun 2023 · 5 mos · Mumbai, Maharashtra, India · On-site

Assisted in financial statement analysis and model development for assessing company performance.
Supported the team in developing tearsheets to summarize company results using financial models.
Conducted comprehensive market research to support the acquisitions team, providing insights that informed strategic financial decisions.
Assisted in the preparation of detailed financial reports and presentations for senior management, enhancing the clarity and impact of financial data communication.

Financial AnalysisMarket ResearchFinancial ModelingData Communication