Law Saarthi – Your Legal Companion
Summary
Developed a multilingual legal-tech platform featuring an AI chatbot, IPC section predictor, anonymous community support, and FIR filing.
About
A highly analytical B.Tech student specializing in Computer Science, Daksh excels in data analytics, machine learning, and full-stack development. With practical experience from internships at Webacy and rFund.ai, he demonstrates a strong ability to develop predictive models, analyze complex datasets, and engineer robust solutions for both Web3 and financial domains. Eager to leverage his quantitative research, blockchain analytics, and AI/ML expertise to drive innovation in a data-centric role.
Work
rFund.ai
|Quantitative Research Intern
Remote, Global, US
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Summary
As a Quantitative Research Intern, Daksh conducted market trend analyses, developed machine learning models for financial forecasting, and streamlined data preprocessing pipelines to inform data-driven investment decisions.
Highlights
Conducted in-depth quantitative analyses to identify market trends and optimize investment strategies, informing data-driven decisions.
Developed predictive models using machine learning to accurately forecast financial performance and risks.
Streamlined data preprocessing pipelines, efficiently handling large financial datasets to enhance analytical throughput.
Generated detailed reports with actionable insights, supporting robust data-driven investment decisions.
Webacy
|Web3 Data Analytics Intern
Remote, Global, US
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Summary
As a Web3 Data Analytics Intern, Daksh analyzed smart contract data, developed data extraction scripts, and generated vulnerability reports to enhance security for decentralized applications.
Highlights
Analyzed complex smart contract data to identify vulnerabilities, enhancing security for decentralized applications and providing actionable insights.
Developed Python scripts to streamline data extraction and analysis from multiple blockchain sources, improving operational efficiency.
Generated comprehensive reports on identified vulnerabilities with actionable recommendations for contract security improvements.
Utilized blockchain analytics techniques to assess transaction patterns and support secure contract protocols.
Education
Jaypee Institute of Information Technology, Noida
Noida, Uttar Pradesh, India
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B.Tech.
Computer Science
Grade: 8.0/10.0 CGPA
Awards
Top 20 Contributor, JWOC (JGEC Winter of Code)
Awarded By
JWOC (JGEC Winter of Code)
Recognized as a top 20 contributor across India for significant contributions to Python and web development projects.
Certificates
Data Science Certification
Issued By
HP
AI certification
Issued By
Microsoft
Postman API Fundamental Student Expert
Issued By
Postman
Skills
Programming Languages
C/C++ (OOPs), Python, JavaScript, SQL, HTML/CSS, SCSS.
Data Science & Machine Learning
Data Cleaning, Exploratory Data Analysis (EDA), Deep Learning, Data Visualization, Feature Engineering, Data Modeling, Statistical Analysis, Machine Learning, Natural Language Processing (NLP), Blockchain Analytics, Quantitative Analysis, Predictive Modeling, Sentiment Analysis, LSTM.
Web Development & Frameworks
React.js, Node.js, Flask, Streamlit, Kivy, Tkinter, CSS, Supabase.
Libraries & Tools
Matplotlib, NumPy, Pandas, Scikit-learn, PySpark, Postman, Git/GitHub, VSCode, Jupyter, MongoDB Compass, Google Colab, FAISS, OpenAI Embeddings.
Databases
MySQL, MongoDB.
Operating Systems
Windows, Linux (Ubuntu).
Problem Solving & Algorithms
Data Structures, Algorithms, Leetcode, GFG, CodeStudio.
Projects
StockSmart
Summary
Created a stock analysis platform using Python and Streamlit, offering key insights and predictions for informed investment decisions.