fsaar	                                                                                                 	 	
 	
 	 	
 
      	Objective 	  	
   	
I  am  seeking  a  career  as  a 	Data	 Scientist	 that  will  allow  me  to  utilize  my  knowledge 	and 	
developing	 skills  in  Python,	 Gen	AI Machine  Learning,	 and  Data  Analysis,  with  a  passion  for 	
turning  data  into  valuable  insights.	 Eager  to  contribute  my  skills  and  learn  in  a  dynamic 	
data	 science	 role.	 	
 	
    	Internship	   	
Data Science Internship |	Everest IMS	                                                                            	Feb 2024	 	
 
Offline Chatbot for Private Document Interaction	: 	
&bull; Developed  an  offline  chatbot  for  securely  interacting  with  private  documents  using  the 
Mistral	-7B	-Instruct model, FAISS vector store, and LangChain	. 	
&bull; Ingested  documents,  generated  embeddings  with  instructor	-xl,  indexed  in  FAISS  for 	
efficient vector similarity search.	 	
&bull; Enabled context	-aware question	-answering by retrieving relevant chunks and generating 	
concise responses through 	RAG	 pipeline, ensuring data privacy.	 	
 	
    	Education	 	
     	  Aug	 202	0 &ndash; July	 202	4                	Reva University, Bangalore	 	
                                             	      	         Bachelors in Computer Science and System Engineerin	g 	
                                                            	Score:	 8.8                                                                                 	 	
  
       	  Aug 20	18	 - June 	2020	       	      	   SBGNS COMP PU COLLEGE, Chikkaballapur	 	
                                             	       	         	Major: PCMB, Score: 	86.67	% 	
 
      June 2017 	&ndash; May 2018              	BGS High 	School,	 Chikkaballapur 	 	
                                                           	 Score: 	90.24	% 	
        	Knowledge	 &amp; Skills	 	
Programming Skills	 	Python, SQL.	 	
Libraries in Python	 	NumPy	, Pandas	, Matplotlib	, Scikit	-learn	, TensorFlow	, LangChain	,  	
Hugging Face	. 	
IDE	 	Colab	, Visual Studio code	, Jupyter Notebook.	 	
Data Science	 	LLMs, 	Machine Learning (Regression, Decision Tree, Clustering)	, 	
Deep Learning (ANN, CNN	, RNN, LSTM), RAG pipelines.	 	
Soft Skills 	 	Communication, Team Work, Quick Learner.	 	
                                                   	 	
                         	 	
 
 
 
 
                                         	 	
Monish T	 M	 	
8th Semester, Computer Science and 	System 	Engineering	 	
Reva University	 	
monishreddy173@gmail.com	 | +	91	 8050252601	 	
Yelahanka	, Bangalore	, Karnataka

Project	s 	
Customer Churn Analysis in Telecom Company	 	                                                           	
[January 2023]	 	
&bull;  The  Telecom  Customer  dataset  consist  of 	7,000  records  with 	21	 attributes  including 	
demographic and behavioral attributes.	 	
&bull; Performed EDA (data visualization, descriptive analysis, heatmap for correlation).	 	
&bull; Applied Logistic Regression, Decision Tree, Random Forest, SVM and 	AdaBoost 	classifiers 	
to identify customers at risk of churn.	 	
&bull;Comparative  study  has  shown  that  both  Random  Forest  and 	AdaB	oost  have  performed 	
well.  Random  Forest  Classifier  gave the  accuracy,  precision  and  recall  of 86.45%,  88%  and 
90%, respectively.	 	
 
End	-to	-End 	Chicken Disease	 Classification 	  	 	 	 	 	                             	
[April 2023]	 	
&bull; Developed an efficient deep learning model for classifying chicken diseases using modular 
programming techniques.	 	
&bull; To  foster  collaboration  and  transparency,  I  established  a  GitHub  repository  with  a  well	-	
organized project template and comprehensive logs. 	 	
&bull; Leveraging modular code, I ensured a smooth and flexible training and prediction process.	 	
 
 
End	-to	-End  Machine  Learning  Project  on  Student  Exam  Performance  Indicator                             	
[May	 2023]	 	
&bull;Performed  a  comprehensive  End	-to	-End  machine  learning  initiative  via  GitHub,  focusing 	
on predicting student exam performance.	 	
&bull;  Coordinated  the  project  using  modular  components,  covering  data  ingestion, 
transformation, and model training processes.	 	
&bull; Additionally, the project entailed a well	-structured pipeline featuring extensions, logging 	
module, and utility functions.	 	
 
 
 	
   	  Certifications	   	
&bull; 	Associate Cloud Engineer Certification	: Google	 	
(Deploying and managing solutions on Google Cloud Platform.	) 	
&bull; 	2022 Python for Machine Learning &amp;Data Science Masterclass: Udemy	 	
(Data Preprocessing, Regression, Classification, Clustering, Dimensionality Reduction	) 	
&bull; 	Python for Data Science, AI &amp; Development: Coursera 	 	
(Python programming logic using Branching, Loops, Functions, Objects &amp; Classes.	 	
 Python Basics including Data Types, Expressions, Variables, and Data Structures.	) 	
&bull; 	The Complete SQL Bootcamp: Udemy	 	
(PostgreSQL  and  PgAdmin  |  GROUP  BY  statements  and  SQL  JOIN  commands  |  Creating 
Databases and Tables.	) 	
          	 	
 Extra	-Curricular Activities	  	
&bull; 	Secured 2	nd Position in 600 metres running in the year 2018.	 	
 
! self	-declaration by student