Image Deblurring Model
Summary
A course project involving the development of a deep learning model to enhance image clarity by removing blur.
About
Highly motivated and results-driven Chemical Engineering student with a strong passion for Artificial Intelligence, Machine Learning, and Quantitative Finance. Proven ability to develop and deploy advanced AI/ML models, conduct in-depth data analysis, and apply quantitative methods to solve complex problems in both technical and financial domains. Eager to leverage interdisciplinary expertise to drive innovation and achieve impactful results.
Work
HDFC Securities
|Investment Analyst Intern
Summary
Contributed to quantitative financial analysis and portfolio optimization for a leading securities firm, leveraging data-driven insights to inform investment strategies.
Highlights
Conducted in-depth quantitative analysis of over 50 auto-ancillary companies, leveraging a multi-factor stock model to identify investment opportunities.
Extracted and analyzed extensive historical financial data from the Capitaline Database to evaluate company performance and inform investment decisions.
Developed a Python-based algorithm to identify top and bottom-performing stocks by analyzing historical market data.
Successfully backtested dynamic and static investment portfolios over a 7-year period, optimizing portfolio weights to adapt to varying market conditions.
Volunteer
National Service Scheme (NSS), IITB
|Volunteer
Summary
Dedicated over 80 hours to community service initiatives, fostering social responsibility and contributing to various welfare programs.
Highlights
Contributed over 80 hours to social service initiatives under the National Service Scheme (NSS) at IITB.
Education
Indian Institute of Technology, Bombay
Bachelor of Technology
Chemical Engineering
Grade: 8.1 CGPA
Awards
3rd Place in Optimizer Competition
Awarded By
AZeotropy
Secured 3rd place among 30 competing teams in the prestigious Optimizer competition, organized by AZeotropy, showcasing strong problem-solving and technical skills.
Skills
Programming Languages
Python, C++, MATLAB, JavaScript.
Machine Learning & Deep Learning
TensorFlow, PyTorch, Keras, Scikit-learn, YOLOv5x, ResNet-50, LSTM, CNN, NLP, RAG.
Data Analysis & Visualization
NumPy, Pandas, Matplotlib, OpenCV, Capitaline Database, VectorStoreIndex.
Quantitative Finance
Multi-factor Models, Portfolio Optimization, Backtesting, Financial Modeling.
Interests
Aeromodelling
RC Plane-making, Team Collaboration.
Athletics
Cross Country, Institute-wide Competition.
Projects
Hemoglobin Level Estimation
Summary
An R&D project focused on predicting hemoglobin levels from eye conjunctiva images using advanced machine learning techniques.
Speech Emotion Recognition
Summary
Developed an NLP-based sequence model for real-time emotion detection from speech, leveraging extensive audio datasets.
Webpage Query Solver
Summary
A self-initiated project implementing a Retrieval-Augmented Generation (RAG) system for efficient webpage querying.
Facial Recognition System
Summary
Developed a robust facial recognition system as part of a Winter in Data Science program, focusing on facial similarity.