Machine Learning ( Linear and logistic regression KNN Random Forest K-Means Clustering),Deep Learning(CNN RNN LSTM)
LLM(Lang chain RAG FineTuning )
C
C
SAP ABAP
S/4 HANA
Demand Forecasting
Organizational Skills
Projects
Music Genre Classification using Deep Learning: Developed a deep learning model combining CNN and LSTM networks for music genre classification using the GTZAN dataset and additional contemporary audio tracks. Skills: Python, Keras, Tensorflow , CNN, LSTM
News Article summarization using Fine tuning and LoRA: Utilized the CNN Mail dataset developed a news article summarization model using fine-tuning and Low-Rank Adaptation (LoRA) techniques from hugging face. Skills: Hugging Face, Tensor Flow, Fine-Tuning, LoRA
Leveraging EDA for Enhanced Customer Segmentation and Product Recommendations in E-Commerce: Performed EDA on a 5 GB dataset of user interactions to enhance customer segmentation and develop a product recommendation system for an e-commerce platform. Skills: Python , Apache Spark, MongoDB, Tableau
Timeline
Resource Management Analyst
Capgemini
06.2021 - 06.2022
SAP ABAP Developer
Capgemini
11.2019 - 06.2021
Master of Professional Studies. - Data Science. GPA- 3.97/4.0
University of Maryland - Baltimore County
Bachelor of Technology - Electrical And Electronics Engineering GPA:8.45/10