Data Science

CHHAVINDERJEET SINGH

Delhi, India *****.*****************@*****.*** +91-935**-***** LinkedIn

Professional Experience

GoalFi Hyderabad

Data Science Intern May’25 - Jun’25

• Developed Python framework for data architecture and pipeline of GoalFi’s proprietary mutual fund analytics tool

• Built a data extraction solution to gather holdings and various financial instruments data across all AMC schemes

• Handled diverse AMC file formats & replacing multiple custom tools, significantly improving overall reliability

• Conducted research on factors affecting cross-sectional expected stock returns, such as β, size and BE/ME ratio

• Analyzed the influence of these financial factors on asset pricing to support data-driven investment strategies Research Associate New Delhi

Dept. of ECE, DTU Prof. Rohit Kumar Dec’23 - Jan’24

• Worked with two PhD scholars of DTU on enhancing Underwater Optical Communication (UWOC) systems

• Developed a robust framework on MATLAB to evaluate and optimize UWOC signal transmission methods

• Evaluated system performance through statistical analysis, specifically measuring Outage Probability (OP) and throughput, to assess the reliability and efficiency of UWOC systems under varying environmental conditions

• Enhanced spectrum efficiency by 60% through reconfiguring the Radio Frequency wave propagation environment LegalBrain.ai New Delhi

Co-Founder Apr’23 - Oct’23

• Co-spearheaded the development of LegalBrain.ai, an innovative platform designed to assist Law practitioners

• Developed a specialized and scalable tool for lawyers, by utilizing large language models (LLMs) and agent-based systems with a functionality to upload legal documents and receive precise and contextually answers to their queries

• Successfully secured 50k from DTU-IIF and 200k from ASG Partners, with their founder joining our advisory board

• Managed operational functions including client relations, fundraising, networking, & talent acquisition Education

Delhi Technological University

B.Tech, Electronics and Communication Engineering Jul’21 - Jun’25 Relevant Courses:Data Analytics, Machine Learning, Engineering Economics, Entrepreneurship and Venture Development, Fundamentals of Management, Signals & Systems, Soft Computing, Digital Communication Technical Skills

Programming Languages and Libraries: C++, Python, MATLAB, SQL, Pandas, Numpy, Torch, statsmodels, scikit-learn Software and Utilities: VS Code, Xcode, PyCharm, Power BI, Microsoft Excel, PowerPoint, DB Browser, and MongoDB Key Projects

Air Pollution Prediction Model

Undergraduate Project, Prof. A.K.Singh Jan’25 - Mar’2

• Built a deep neural network model to efficiently predict air pollution levels using 10 lagged values

• Worked with time-series data containing PM(Particulate Matter)1.0, PM2.5,and PM10 & pollution trends over time

• Implemented a hybrid architecture of Transformer encoder and Bi-LSTM decoder to enhance prediction accuracy

• Achieved strong forecasting performance with a Mean Absolute Percentage Error (MAPE) of 18.4% Leadership & Activities

NeuralAi

Vice President April’24 - Present

• Oversee key operational aspects of NeuralAI, including recruitment, event management, & budget administration

• Facilitated more than 50 valuable opportunities for students to collaborate with US and Europe-based clients

• Contribute to the growth of NeuralAI, providing members with real-world experience and industry connections DTU Bhangra Club

Senior Team Member Feb’22 - Dec’23

• Co-organized and participated in various workshops and events like Mood Indigo and folk dance competitions

• Achieved 1st Place at IIM Lucknow Varchasva and MNIT Jaipur Folk Dance Competition

• Secured third Place at SGTB College Folk Dance Competition and fourth Place at IIT Bombay Mood Indigo

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