Aditya Singh
Finance & Analytics | Python Automation & Power BI
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Role: Quantitative Developer
Description: Built a custom Python toolkit designed for automated stock return analysis and risk-reward plotting. This project streamlines the portfolio management process by visualizing technical indicators and identifying optimal entry/exit points based on historical data.
Tools: Python, Matplotlib, SQL.
Impact: Automated the generation of technical reports, replacing 4+ hours of manual spreadsheet work.
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Role: Financial Analyst
Description: Created a comprehensive Discounted Cash Flow (DCF) and ratio analysis model to contrast the financial health of two distinct business models (Adani vs. CBRE). This involved detailed valuation, sensitivity analysis, and strategic forecasting.
Tools: Advanced Excel, Bloomberg Terminal, Financial Modeling.
Impact: Delivered a structured comparison used for strategic investment recommendations.
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Role: AI Automation Developer
Description: Developed an automated system to process and analyze 1,000+ financial news reports using Natural Language Processing (NLP). The system performs sentiment-based investment scoring, allowing for rapid decision-making in volatile markets.
Tools: Python (NLTK, Pandas), Jupyter Notebook.
Impact: Reduced manual analysis time by 90% through automation.
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Role: Data Visualization Lead
Description: Led a 4-member team at Infosys Springboard to transform 10,000+ rows of raw consumer data into an interactive sentiment-tracking dashboard. By unpivoting datasets and creating custom DAX measures, I identified a 25% surge in negative feedback related to product packaging, providing actionable insights for R&D.
Tools: Power BI, Power Query, DAX, Excel.
Impact: Awarded "Best Project" (1 of 6) for technical depth and business relevance.
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