About
Highly analytical and results-driven B.Tech student specializing in Data Science, Machine Learning, and Generative AI, with a proven ability to develop and implement complex algorithmic trading strategies and AI pipelines. Eager to leverage strong technical acumen in Python, advanced ML frameworks, and data engineering to drive innovation and deliver impactful solutions in a dynamic tech environment.
Work
Fractal Analytics
|Imagineer - Data Science
New Delhi, Delhi, India
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Summary
Anticipated role focusing on developing and implementing advanced data science solutions within Fractal Analytics, leveraging AI and machine learning for business impact.
Highlights
Contribute to cutting-edge data science initiatives, applying advanced analytical techniques to solve complex business challenges.
Collaborate with cross-functional teams to design, develop, and deploy scalable AI/ML solutions.
Drive innovation in data-driven decision-making, utilizing expertise in machine learning and generative AI.
Identify and evaluate new technologies and methodologies to enhance data science capabilities.
OptAlpha
|Data Analysis and Machine Learning Intern
New Delhi, Delhi, India
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Summary
Developed and optimized advanced algorithmic trading strategies and real-time HFT systems, integrating machine learning and data analysis to enhance financial market performance.
Highlights
Developed and optimized multiple algorithmic trading strategies from scratch, identifying complex price patterns and implementing technical indicators like Parabolic SAR and VWAP.
Conducted in-depth time-series data analysis, manipulation, and interpretation using Python, Pandas, Numpy, and SciPy, integrating computer vision for pattern detection.
Engineered and deployed real-time High-Frequency Trading (HFT) systems for options, futures, and stocks, integrating broker APIs for low-latency execution and automating operations end-to-end.
Spearheaded the design and implementation of an experimental agentic AI pipeline, automating the entire trading strategy development lifecycle from hypothesis generation to performance evaluation, while mentoring an intern.
Implemented an automated system for stock selection, ranking, and portfolio rebalancing, integrating customizable investment modes, capital allocation, and position sizing strategies.
Ensured data integrity by correcting historical stock data, accounting for dividend changes and stock splits.
Volunteer
Celestial Biscuit IGDTUW (Tech Society)
|Developer
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Summary
Led a team in developing custom themes for Visual Studio Code, contributing to the developer community.
Highlights
Directed a 4-member team in the creation of 6 custom Visual Studio Code themes, achieving over 1100 installations across all themes.
AI Club IGDTUW (Tech Society)
|Head Coordinator at Technical Team
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Summary
Led technical initiatives and managed projects for the AI Club at IGDTUW, fostering a vibrant learning environment for AI/ML enthusiasts.
Highlights
Evaluated over 40 machine learning projects, utilizing EDA, Classification, and Regression techniques, and oversaw the AI Club's Summer Internship program.
Developed and launched the official club website with a team, enhancing online presence and resource accessibility.
Mudra - Finance Society, IGDTUW
|Content and Research Team Member
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Summary
Researched and developed presentations on various financial topics, aimed at improving financial literacy among university students.
Highlights
Developed and delivered presentations on diverse financial topics, enhancing financial literacy for university students.
Greensphere IGDTUW, WWF-India
|Member of Outreach Team
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Summary
Organized eco-awareness initiatives and fundraising events in collaboration with WWF-India, promoting environmental consciousness.
Highlights
Coordinated eco-awareness webinars and events, successfully raised funding, and contributed to WWF's Project Echo initiatives.
Desh Ke Mentor
|Mentor
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Summary
Provided mentorship to school students, guiding their academic and personal development.
Highlights
Provided mentorship to 5 high school students (grades 9-12), supporting their academic performance and personal growth.
Education
Indira Gandhi Delhi Technical University for Women
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B.Tech
Electronics and Communication Engineering
ITL Public School
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High School
CBSE
Grade: Class 12th: 98.2% | Class 10th: 97.2%
Languages
English
Hindi
Skills
Programming Languages
Python, Kotlin, MATLAB, HTML, CSS, Javascript.
CS Fundamentals
Data Structures, Algorithms, OOP, DBMS, Cloud Computing.
Data Engineering
SQL, MySQL, MongoDB, Spark, PySpark.
Machine Learning & GenAI
Numpy, Pandas, Matplotlib, Seaborn, Plotly, scikit-learn, SciPy, Statsmodels, Librosa, NLP, Computer Vision (OpenCV, CNNs), HuggingFace, Agentic AI, Ollama, LangChain, LangGraph, RAG, fast.ai, Pytorch.
Tools & Software
Git, GitHub, Android Studio, LaTeX, LTspice, Excel, PowerBI, Docker, Twilio, Figma.
Projects
Active Noise Cancellation: Comparative Analysis of DSP and ML Approaches
Summary
Developed a comprehensive comparative analysis of traditional DSP and machine learning methods for Active Noise Cancellation (ANC).
Predicting Coupon Redemption for Marketing Campaigns
Summary
Built a Machine Learning model to predict customer coupon redemption using demographic, transactional, and campaign data.
Report Card Generator
Summary
Developed a Python and MySQL-based system to automate the generation of PDF report cards from a student database for schools.