Devyani Kandwal

Skillful resource prepared for Graduate Intern role, offering strong focus on team collaboration and achieving results. Demonstrates adaptability, reliability, and proactive approach to meeting evolving needs. Possesses expertise in research, data analysis, and project management, coupled with excellent communication and problem-solving capabilities. Developed skills in fast-paced finance environment, including data analysis and effective communication. Experienced with financial analysis, budgeting, and reporting. Utilizes analytical skills to assist in financial forecasting and planning. Skilled in financial analysis, budgeting, and data interpretation. Strong focus on team collaboration and achieving results.

• Developed interactive data visualizations from email traffic, showcasing skills in data cleaning, parsing, and analysis using Python libraries like Pandas and Matplotlib.
• Utilized the Google Maps API to visualize geographic datasets, enabling spatial data representation and insights through real-world location-based analytics
• Analyzed the impact of economic recessions on automobile sales using synthetic time-series data; leveraged Python, Pandas, and Seaborn to uncover correlations between sales, GDP, unemployment, and consumer confidence
• Built an interactive dashboard using Plotly Dash to visualize and filter sales trends by year, vehicle type, and recession status—supporting business decisions through real-time data insights
• Python-based Stock Market Dashboard
• Extracted and analyzed financial data using yFinance API, Pandas, and Plotly.
• Automated reporting processes to identify market trends, reducing manual effort by 50% & support investment decisions.

• Python for Everybody , University of Michigan - 2024
• Using Databases with Python, University of Michigan - 2024
• Programming for Everybody (Getting Started with Python), University of Michigan - 2024
• Python Data Structures, University of Michigan - 2024
• Using Python to Access Web Data, University of Michigan - 2024
• Applied Data Science Capstone, IBM - 2024
• Data Analysis with Python, IBM - 2025
• Data Science Methodology, IBM - 2025
• Data Scientist Career Guide and Interview Preparation, IBM - 2025
• Data Visualization with Python, IBM - 2025
• Databases and SQL for Data Science with Python, IBM - 2025
• Generative AI: Elevate Your Data Science Career, IBM - 2025
• IBM Data Science Professional Certificate, IBM - 2025
• Machine Learning with Python, IBM - 2025
• Python Project for Data Science, IBM - 2025
• Python for Data Science, AI & Development, IBM - 2025
• Tools for Data Science, IBM- 2025
• Financial Markets, Yale University - 2025
• Goldman Sachs Operations Job Simulation on Forage - 2025
• JPMorgan Chase Investment Banking Job Simulation on Forage - 2025

• Explored novel strategies for rabies vaccine design using in silico peptide modeling and sequence retrieval techniques
• Identified an ideal M&A target for a client based on an assessment of their strategic and financial criteria.
• Constructed a DCF model to calculate the valuation of the M&A target and adjusted the model to account for a competitor bid and supply chain interruption
• Created a 2-pager for the client containing a company profile and summary of the auction process
• Analyzed financial data and identified issues in trade settlements and asset transfers for high net worth clients
• Collaborated with cross-functional teams, including Trading, Compliance, and IT, to resolve complex operational issues
• Applied best practices in operational risk management and regulatory compliance, demonstrating a strong understanding of the role's requirements

• Programming Languages: Python, C
• Programming & Analysis: Python (Pandas, Matplotlib, NumPy), SQL, Google Maps API, SPSS, Excel (Pivot Tables, VBA)
• Lab Techniques: PCR, Gel Electrophoresis, DNA/RNA Extraction, ELISA, Biochemical Assays
• Finance & Data Tools: Financial Modeling, Risk Analysis, Investment Fundamentals
• Investment Banking Skills: DCF Modeling, Financial Modeling, M&A Analysis, Risk Management, Company Analysis, M&A Knowledge, Transaction Management
• Corporate Finance - Financial Ratios, Cash Flow & Income Statement, Balance Sheet

• Successfully created a data dashboard integrating financial trends and viral outbreak metrics using Python — a cross-domain visualization of biotech and finance (in progress)
• Recognised with special mention at Thapar MUN 2024 and winner of the Prospect Rewire competition for excellence in content creation
• Cambridge English language Assessment – Cambridge Young Learners English starters

• At TIET I was part of the Interact Club - organizing donation drives and charity events at supporting underprivileged communities. Actively participated in social cause drives - blood donations, books donation, clothes and other material the underprivileged
• At TIET I was part of the committee for organizing cultural festivals
• Diploma in Bharatnatyam dance from Gandharva Vidyalaya Academy. Participated at interschool competitions and performing at city level cultural events
• At LVIS I was part of the School Exchange Program, visited countries including Sweden and Denmark, showcased Indian Culture & Ethnicity to the schools and cultural institutions at the 2 countries
• At LVIS I was part of the basketball team participated in intra and inter school competitions
• Avid music listener (interests in western and indian music)
• At LVIS I was part of the team representing school in inter and intra competitions in debates, declamations and science festivals
• Participated in the World Initiative to Save Environment (WISE – 2018) Olympiad
• At LVIS I had participated in the SilverZone STEM Innovation Olympiad including Informatics, Maths, Science, English and GK