Summary

Experienced Data Science Intern with a strong background in statistical analysis, machine learning, and data wrangling. Skilled in developing ML models for real-world business problems and enhancing trading strategies for improved profitability.

Experience

Data Science Intern

Pranjali Growcap Pvt. Lim. (HFT)

2025 – 2025

  • Enhanced trading strategies using statistical analysis and alpha-decay modeling, improving portfolio profitability.
  • Collaborated with my team to optimize the firm’s backtesting algorithm, achieving a 16% performance improvement. Built and deployed a real-time Python dashboard to monitor live strategy performance and execution metrics.
  • Backtested strategies on historical tick and OHLCV data to ensure robustness; applied ML to tune indicators (RSI, MACD, SuperTrend) for optimized signals.

Data Science Intern

Feynn Labs

2024 – 2024

  • Performed end-to-end data wrangling and preprocessing using Pandas, ensuring clean and reliable datasets. Created high-impact visual insights with Plotly to communicate trends and findings effectively.
  • Collaborated with cross-functional teams to develop supervised and unsupervised ML models for real-world business problems.

Skills

Programming Languages

Python
C++
HTML/CSS
JavaScript
SQL

Developer Tools

VS Code
Jupyter Notebook

Machine Learning / Data Science

NumPy
Pandas
TensorFlow
PyTorch
Keras

Data Analytics / Visualization

Power BI
Tableau
Excel

Deep Learning

CNNs
RNNs
Transformers
Hugging Face
PyTorch

LLMs / RAG

LangChain
LLaMA.cpp
OpenAI API
FAISS
ChromaDB
Pinecone
Vector Databases

Projects

SmartDoc Assistant

Designed and implemented a Retrieval-Augmented Generation (RAG) pipeline for Q&A over multi-format documents (PDF, DOCX, TXT), integrating LLMs with deep learning concepts to improve retrieval efficiency by 30% and enhance response accuracy.

PythonRAGVector DatabaseStreamlitLLM

Voice Recognition Attendance System

Designed and implemented a modular architecture in Python covering voice recording, preprocessing, recognition pipeline, and real-time attendance logging.

PythonOpenAI WhisperCNNSQL

U-Net Based Image Segmentation

Developed and trained an image segmentation model using the U-Net architecture, showcasing expertise in pixel-wise classification for computer vision tasks.

PythonComputer VisionDeep Learning

Education

B.Tech in Computer Science Engineering, Specialization in Data Science

DeenBandhu Chhotu Ram University of Science and Technology

2025

GPA: 7.7