Dynamic software engineer transitioning to data analytics and business analysis, offering a unique blend of technical expertise and business acumen. Highlights include:

• Proven track record of on-time project delivery and efficiency improvements
• Expertise in Agile methodologies, Jira, and end-to-end project management
• Strong stakeholder management skills, adept at collaborating with diverse teams
• Proficient in CI/CD pipelines, DevOps, and Microsoft Azure cloud platform
• Advanced data analysis capabilities, with distinctions in Financial Data Analytics and SAS for Business Intelligence
• Demonstrated ability to optimize processes, resulting in significant time and cost savings
• Strategic thinker with excellent problem-solving and analytical skills

Software Engineer

Mars Wrigley (GistLens) - London

October 2023 - Current

• Learned 3 technology platforms in 2 months, adapting to diverse project requirements and increasing productivity by 30%.
• Collaborated with 4 different teams to improve supportability, resulting in 25% reduction in maintenance time and resolving 15 critical performance bottlenecks.
• Managed technical requirements for major project using Jira, coordinating with 4+ internal stakeholders and 2 external partners, resulting in 100% on-time project delivery.
• Followed Agile Methodology for delivering requirements within sprint.
• Using Data Dog, analysed application performance to identify critical areas to be improved for smooth and fast performance, resulting in decrease risk of application failure.
• Designed repository in Azure Cloud to store source code of software and version control using GIT.
• Built and maintained release solution using CI/CD pipelines in Microsoft Azure Cloud. Created regular automations such as creating tasks to build, copy config files, etc.

Packed Application Development Analyst

Accenture - Bangalore

December 2022 - August 2023

• Built and maintained CI/CD pipelines across all available environment including production, achieving high quality deliverables and decrease in delivery time by 60% following regulatory compliance.
• Implemented new, automated processes through strategic tools improvements, resulting in 50% efficiency increase.
• Enabled smooth running of projects by ensuring clear, well-defined requirement gathering, increasing satisfaction rate by 80%.
• Helped in building stored procedures to perform ETL activities for transformation of data in acceptable format.
• Led team of 8-12 members for timely delivery of products. Tracked progress of task with use of Jira, following Agile Methodology.
• Awarded with prestigious "ACE Award" for purpose of delivering best quality service going far and beyond limits.

Application Development Associate

Accenture - Bangalore

November 2020 - December 2022

• Developed DevOps pipeline and facilitated agile application development and deployment, resulting in increase in rate of delivery by 50% and decrease in defect rate by nearly 30%.
• Determined and defined system improvements and deployed new features and releases.
• Performed analysis together with development teams to streamline modifications to critical applications.
• Created excel based reports to facilitate overall product status to clients, which saved time by nearly 50%.
• Awarded with "Rising Star Award", for making client's target achievable within due time.

Analysis of Factors Affecting Momentum of Investment

Queen Mary University of London - Dissertation

1. Cross-Asset Momentum Strategy

• Developed and implemented a momentum investment strategy across multiple asset classes (equities, bonds, currencies, commodities)
• Demonstrated the strategy's effectiveness and variability across different market segments

2. Advanced Factor Analysis

• Conducted in-depth factor analysis using both traditional (Fama-French) and innovative factors
• Employed Principal Component Analysis (PCA) to identify key drivers of momentum returns
• Visualized factor loadings for intuitive understanding of complex financial relationships

3. Robust Statistical Techniques

• Utilized bootstrap testing to assess factor significance and stability
• Implemented transaction cost analysis to evaluate real-world strategy profitability
• Applied time series analysis to optimize strategy parameters and holding periods

4. Multi-Asset Portfolio Outperformance

• Demonstrated superior risk-adjusted returns of a multi-asset momentum approach compared to single-asset class strategies
• Provided empirical evidence for the diversification benefits of cross-asset momentum investing

5. Scalable and Modular Implementation

• Developed a flexible, Python-based framework for financial data analysis and strategy backtesting
• Created modular code structure allowing for easy extension to new asset classes and analytical techniques
• Implemented efficient data handling and visualization tools for large-scale financial datasets

View on GitHub

Master of Science: Data Analytics

Queen Mary University of London - London

September 2023 - September 2024

Relevant modules: Financial Data Analytics, Real and Digital Asset Management, Optimization of Business Processes, SAS for Business Intelligence, Python Programming, Machine Learning

Bachelor of Engineering: Information Science and Engineering

NMAM Institute of Technology - Nitte

August 2016 - August 2020

Relevant modules: Cloud Computing, Databases, Machine Learning, Big Data

Email: shivamkhandelwal934@gmail.com

Phone: (+44)7470897303

LinkedIn: linkedin.com/in/shivamkhandelwal3101/