(+91)	-637906924	7                             	     	                  	  PRADEEP	 J                    	                             	                    	  Linked	In/ pradeep	 	
pradeepvlytr29@gmail.com	       	    	           	    	DATA SCIENTIST	/ML ENGINEER	                         	         	              	  github.com/pradeep	 	
PROJECTS	 	 	
Next	-word prediction application,	                         	          	                                                         	           	                                	 APR 	2024	 &mdash; Present	             	     	
M.Sc Major project, Department of 	 Computer Applications, Bharathiar University	                                              	 	
&bull; Using 	YouTube	-DL	 to download videos from YouTube and utilizing 	FFmpeg 	to extract audio	. 	
&bull; Designed	 a whisper	-to-text conversion model, to accurately transcribe audio speech into written text. 	Utilizing  	tokenization	 	
techniques to break down text into smaller.	 	
&bull; Deep learning techniques to train an 	LSTM	 algorithm for predicting subsequent sentences.	 	
Pharmacy Order Chatbot	,    	                                                                                                                	                                 	Dec 2023	 &mdash; Dec 2023	           	     	
M.Sc Mini project, Department of Computer Applications, Bharathiar Universit	y                                             	 	
&bull; Development of a cutting	-edge Pharmacy Order Chatbot, 	using	 Dialogflow	, offering two key features	. 	
&bull; New Order Intent: Seamlessly place orders with a user	-friendly chat interface.	 	
&bull; Track Intent: Stay updated on order status in real	-time.	 	
&bull; Leveraging	 FastAPI 	for efficient backend processing and 	sql	 for secure storage of order and tracking data.	 	
Text	-based Personal Assistant	,                 	                                                     	                                  	                                  	 Apr 2024	 &mdash; Apr	 2024	 	
&bull; Developed a text	-based personal assistant	, Fine	-tune	 the	 Palm2	 transformer architecture to inter	act with an 	sql	 database, leveraging 	
the capabilities of 	sql	 database langchain	.  	
&bull; Utilized the 	Hugging Face	 embedding to create embedding vectors that facilitate the identification of word similarities.	 	
&bull; ChromaDB to store embedded vectors, reducing	 bias	 through the application of few	-shot learning techniques.	 	
Book reader (private AI)	, 	                  	           	                                                                             	                             	Apr	 202	4 &mdash; Apr	 202	4 	
&bull; Created a local Retrieval Augmented Generation (RAG) pipeline for conversational interactions with PDF files.	 	
&bull; Integrated the retrieval component with the 	Mistral Llama	 model for generating context	-aware responses.	 	
&bull; Loaded a PDF file using the 	UnstructuredPDFLoader	 and split the loaded PDF data into chunks using the RecursiveSplitter.	 	
&bull; Created embeddings of the chunks using OllamaEmbeddings, utilizing the from_documents method of Chroma to generate a 
new vector database, incorporating the updated chunks and 	Ollama	 embeddings.	 	
&bull; Retrieves relevant context from the updated vector database, generates an answer based on both the context and the question, 
and then returns the parsed output.	 	
AI	-Powered Resume Enhancement Too	l,                                                                               	                                     	Apr	 202	4 &mdash; Apr	 202	4 	
&bull; Resume  Adviser, 	 leverages  the  power  of  Google  Gemini	-Pro  and  PyPDF2  to  transform  your  resume  into  a  standout 	
professional documen	t. 	
&bull; Using 	PyPDF2	, the tool accurately extracts and preprocesses text from your PDF resum	e 	
&bull; Google 	Gemini	-Pro	 analyzes the content to provide a detailed resume score, highlighting areas for improvemen	t 	
Image	 to captions,	 	                                                                                                                	                                       	Apr	 202	4 &mdash; Apr	 202	4 	
&bull; Engineered an AI tool capable of generating captions for 	images by analyzing their content	. 	
&bull; Designed	 a feature extraction module utilizing 	VGG16	 to extract image features.	 	
&bull; Developed a sequence	-to-sequence	 module	 with an encoder	-decoder architecture. The encoder comprises embedding layers 	
followed by 	LSTM	 layers, while the decoder consists of additional layers for generating output sequences.	 	
&bull; Attained a 	Bilingual Evaluation	 Score of 0.15 in the image caption 	framework	. 	
ML	-based	 web	 application	 for	 predicting	 Bank	 customer	 Churn	 using	 Deep	 Learning	, 	             	                     	Feb 	202	4 &mdash; Feb 	202	4 	
&bull; Leveraged pre	-existing datasets from Kaggle to train a deep neural network model in 	TensorFlow	 due to the lack of original customer data 	
in India.	 	
&bull; Scrutinized  the  data  for  analysis,  including  pre	-processing  and  cleaning,  and  provided  insights  on  the  data  through 	  and  created  a  web 	
application using Streamlit to predict customer churn based on user input.	 	
&bull; Created 	ANN	 and 	CNN 	models for predicting customer churn dataset. Achieved an accuracy of 88% in predicting customer churn through 	
the developed model, which can be helpful to identify potential customer churn.	 	
Hand Landmark Classification,	                                                                                           	                             	Dec	 202	3 &mdash; Dec	 202	3 	
&bull; Gathered the dataset using 	OpenCV	 in conjunction with a webcam to capture custom frames and store the data in a repository.	 	
&bull; Utilized the 	Mediapipe	 Hand Landmarks Detector	 to extract features from hands	. 	
&bull; Incorporated a 	Random forest	 model with 	100 decision	 trees to achieve a 	95% accuracy	 rate in hand landmark classification.

EDUCATION	 	 	
Master	 of Science,	 Data	 Analytics,	 Bharathiar	 University,	 coimbatore	 GPA:	 7.80/10.00	                            	                          	Jun	 202	2 &mdash; May	 202	4 	
Bachelor of science, statistics ,	Government Art&rsquo;s college, coimbatore, GPA: 7.50/10.00                    	                               	Jul	y 2019 	&mdash; May 2022	 	
 
 
COMPETITIONS	 	 	
Contributed Ideation for a Problem Statement in Smart India Hackathon 2023	 	
&ndash; Implementation of Leaf Feature Extraction Model Using VGG16 CNN Architecture.	 	
&ndash; Leaf Disease Classification Using CNN Model.	 LLM	-Powered Web Application Providing Solutions for	 farmers.	 	
 
SKILLS	 	 	
Languages	 	Python,	 R, SQL	 	
Libraries	 &amp; Tools	 	Pandas, Numpy, Matplotlib, Seaborn, Plotly, Scipy, Tkinter	, Scikit	-learn, TensorFlow, Keras, NLTK, Flask, 	
BeautifulSoup, PowerBI, Tableau, GIT, Github, Spacy, FastAPI	. 	
Data	 Wrangling	 	Data generation, Data Extraction, Data Cleaning, Exploratory Data Analysis, Feature Engineering, 
Feature  selection,  Data  visualization,  Web  scraping,  text  summarization,  topic  modeling, 
sentiment analysis.	 	
ML	 Skills	 	Data  Modeling,  Clustering  &amp;  Classification,  Quantitative  Analysis,  Regression,  Predictive 
Modeling, Statistical Modeling, Model Validation, Model deployment, NLP, LLM, Hugging face, 
TensorFlow Hub, CNN &amp; RNN, LSTM, ANN, BERT, Transformers.	  	
 
CERTIFICATIONS	 	 	
&bull; Hacker	 Rank	 - SQL	 (Basic)	 	
&bull; NPTEL	 - Machine	 Learning,	 ML	 	
&bull; UiPath	 - Introduction	 to RPA	 and	 Automation	 	
&bull; Coursera	 -   Advanced Data Science	 	
&bull; Cognitiveclass  	-Data 	Analysis with python