CHANDRA MOULI	 	
Data Scientist / AI &amp; ML Engineer	 / GenAI 	Developer	 	
 
 
Dynamic and results	-driven Data Scientist with 	4+ years	 of extensive experience leveraging expertise in	 Generative AI,	 	
Artificial	 Intelligence and Machine Learning. Targeting 	opportunities in Bangalore, Hyderabad, Remote, and Gulf Countries.	 	 	
+91	-8309047501	 	  	
tchandramouli8978@gmail.com	 	  	
linkedin.com/in/	chandra	-mouli07	/ 	
 	
CORE COMPETENCIES	 	  	
Generative AI &amp; LLMs	 	
 
                           	Prompt Engineering	 	
 	
                     	AI/ML	 	
 	
Deep Learning	 	
 	
Natural Language Processing	 	
 	
  Computer Vision	 	
 	
Predictive Analytics      	 	
 	
Mathematical/Statistical Concepts	 	
 	
          	 MLOps / LLMOps	 	
 	
Data Analysis &amp; 	Visualization	 	
 
 
 
 	
SOFT SKILLS	 	  	
Analytical	 	  	
Innovative &amp; Critical	 	 	Thinking	 	 	
Communication Time 
Management Leadership 
&amp; Team Collab. 
Presentation	 	
  	
PERSONAL DETAILS	 	  
&bull; 	Date of Birth:	 23	rd May	 1998	 	 &bull; 	Address:	 NR layout, Garvebhavipalya, 	
Bangalore 	-560068	 	 &bull; 	Languages Known:	 English	, Telugu, 	
Tamil &amp; Hindi	 	 	
 	
PROFILE SUMMARY	 	  &bull; 	Possess experience in 	Artificial Intelligence	 and 	Machine Learning	 across 	
Financial Services	 and BFSI industry	. 	 &bull; 	Spearheading  a  team at 	CAPCO Technologies	,  focusing  on developing cutting	-	
edge  AI  solutions  such  as 	LLMs,  Generative  AI	 Chatbot  and  advanced  text 	
classification models, driving innovation and operational efficiency.	 	
 	
&bull; 	Proficient in	 Generative 	AI, LLMs,	 Prompt engineering	 and more.	 	 &bull; 	Proficient in 	Python	, API, Data Manipulation, Automation, 	SQL, NoSQL	, 	
Data Analysis, Data Wrangling	, and more.	 	 &bull; 	Acknowledged  for 	creating  innovative  AI  solutions	 that  revolutionized 	
banking  automation  and  provided  tailored  recommendations,  enhancing 
operational efficien	cy and customer satisfaction.	 	 &bull; 	Proficient  in  conducting 	Statistical  Analysis,	 developing 	Predictive  Models	, 	
implementing 	Time  Series  Forecasting	 techniques,  and  conducting 	A/B 	
Testing	 to enhance decision	-making processes and drive business growth.	 	 
&bull; 	Proven 	track record in 	strategic thinking, team leadership	, and 	data	-	
driven decision	-making	. 	 	
EDUCATION	 	  	
B.Tech. in 	Electronic and Communication Engineering	 from 	REVA 	
UNIVERSITY	 | 20	19	 | 6.9	 GPA	 	 	HSC	 from Sri Chaitanya educational institutions | 2015 | 92.9%	 	
 	
 CERTIFICATIONS	 	  
&bull; 	Generative AI Fundamentals |Databricks | 2024	 	 &bull; 	Data Analysis and visualization Bootcamp | Udemy | 20	22	 	 &bull; 	Data science Foundation |IABAC| 2022	 	 &bull; 	Data Science Bootcamp | Data mites | 2022	 	
 	
 
IT SKILLS	 	  
&bull; 	Development Tools / IDEs:	 PyCharm, Jupyter Notebook, Visual Studio Code	 	 &bull; 	Web Scraping:	 Beautiful soup	, Scrapy	 	 &bull; 	Web Framework:	 FastAPI	 	 &bull; 	Databases:	 MySQL, Microsoft	 SQL Server, Neo4j	 	 &bull; 	Data Analysis &amp; Visualization	: Pandas, Numpy, sciPy, Matplotlib, Seaborn, 	
Plotly, PowerBI	 	 &bull; 	Generative  AI	: LangChain,  OpenAI  GPT  3,  GPT  4,  Llama2,  Mistral  LLM,  BERT, 	
Hugging  Face Transformers and  Embedding  Models, Tensorflow  Hub,  Facebook  AI 
Semantic Search, Pinecone VectorDB, Chroma DB, RAG	 &amp; Langchain agents	 	
 	
&bull; 	Prompt  Engineering	: Zero	-shot  prompting,  One	-shot  prompting,  Few  shot 	
learning, 	Step back prompting &amp; Prompt chaining.	 	 &bull; 	AI / ML:	 TensorFlow, Keras, PyTorch, Scikit	-learn, XGBoost, AWS 	
SageMaker, Azure ML Studio	 	 &bull; 	Deep Learning:	 CUDA, Caffe	 	 &bull; 	NLP:	 BERT, GPT, NLTK, SpaCy	 	 &bull; 	Computer Vision:	 YOLO, OpenCV, Tesseract 	OCR,	 Scikit	-Image, GPT4 	
Vision	 	  &bull; 	Version Control &amp; DevOps / MLOps / LLMOps:	 Git, Bitbucket, Jira, 	
Docker, Kubernetes, MLflow, Langsmith, CI/CD

WORK EXPERIENCE	 	  
Data Science 	Consultant |	 CAPCO Technologies, Bengaluru | 	Jan	&rsquo;22-Present 	
Key Result Areas:	 	 &bull; 	Leading a dynamic team consisting of a Data Analyst and a Junior Machine Learning Engineer, actively guiding project directio	n 	
and ensuring seamless collaboration.	 	 &bull; 	Spearheading the development of cutting	-edge AI solutions, including a state	-of-the	-art Large Language Models, Generative AI 	
Chatbot, resulting in significant enhancements in client engagement and operational efficiency.	 	 &bull; 	Implementing AI	-driven models, 	particularly in text classification	, thereby automating intricate workflow and delivering 	
substantial cost and time savings for clients.	 	
  &bull; 	Pushing the boundaries in the application of AI within the banking sector, particularly in automating customer servic	e and 	
offering personalized financial recommendations.	 	
 	
&bull; 	Implementing GenAI	-driven solutions specifically like Conversational 	Private kb&rsquo;s, Content 	Generation 	Automation, Content 	
comparison delivering automated customisa	ble	 solutions for clients.	 	
 	
&bull; 	Spearhead	ing the development of GenAI Conversation chatbots on Private Kb&rsquo;s on pr	ivate 	data	 sources	 leveraging RAG 	
(Retrieval Augmented Generation).	 	
 	
&bull; 	Developed a Language summarization Agent by leveraging Lang chain map reduce chains and advance prompt engineering 
which can summarize complex docs like regulatory notices etc. &amp; extract insights, improving efficiency and accuracy of 
analysis.	 	
 	
&bull; 	Implementing 	various range 	of 	advanced 	prompt engineering techniques like 	Zero	-shot, 	One	-shot 	 &amp; Few Shot 	learning to 	
Automate	 tailored C	ontent generation by reducing hallucination of the LLMs	 delivering optimised cost and time savings for 	
clients.	 	
 	
&bull; 	Implemented advanced LLMs, including local and API	-based models, to solve complex problems and provide tailored solutions, 	
significantly boosting client engagement.	 	
 	
&bull; 	Facilitating knowledge transfer and capacity building within the team by conducting training sessions on the latest AI 
technologies and methodologies.	 	
 	
 	
 
Data Science 	Trainee | Change	 Pond technologies	  , Chennai 	|Jan &lsquo;	20	-Jan&rsquo;2	2 	
Key Result Areas:	 	
  &bull; 	Contributed in development of machine learning model 	to enhance the quality and efficiency of business processes involving 	
image processing, OCR, text mining, and information extraction	. 	 &bull; 	Cleaned and pre	-processed the unstructured image data 	to detect tables and extract relevant information using advanced 	
image processing techniques.	 	
 	
&bull; 	Leveraged PyTesseract for 	OCR 	to accurately extract data from images, facilitating seamless integration with	 business 	
workflows.	 	
 	
&bull; 	Involved in streamlining the business processes by automating repetitive tasks 	through the application of machine learning 	
and RPA, resulting in significant time and cost savings.

ANNEXURE	 	
  
Projects Undertaken 	at CAPCO Technologies	 	 Project 1:	 AI-Powered Custom Knowledge Base Chatbot for Enhanced Data Retrieval	 	 Initiated  the  development  of  a  cutting	- edge  AI	-powered  Chatbot  incorporating  Retrieval  Augmented  Generation,  aimed  at  transforming 	
information retriev	al across varied data formats such as scanned PDFs, text documents, and databases. This endeavor entailed leveraging 	
LangChain and Facebook AI Semantic Search for comprehensive comprehension and efficient querying, alongside advanced Large La	nguage 	
Models 	(LLMs)  like  GPT	-3.5/4,  Mistral  LLM,  and  LLAMA2  for  contextually  relevant  responses.  Proficiently  integrated  Hugging  Face 	
embedding  models,  employing  BERT  to  augment  language  modeling  capabilities.  The  application  of  Generative  AI  and  advanced  NLP	 	
technique	s  facilitated  natural  language  queries	.Python  acted  as  the  primary  programming  language,  supported  by  FAISS  for  streamlined 	
similarity search and Transformers for data manipulation, ensuring a seamless and precise knowledge retrieval experience.	 	  
Project	 2: AI-Powered Language Summarization Agent	 	 Developed an advanced AI	-powered Language Summarization Agent, utilizing LangChain&#039;s map	-reduce techniques for summarizing 	
small documents and KMeans clustering for large document summaries. This project focused	 on transforming the summarization of 	
complex documents, such as regulatory notices, to extract critical insights and improve analysis efficiency. Applied advanced	 prompt 	
engineering  techniques  to  ensure  high	-quality,  contextually  relevant  summaries.  Lever	aged  the  capabilities  of  advanced  large 	
language  models  (LLMs),  significantly  enhancing  the  accuracy  and  speed  of  data  processing.  Utilized  Python  as  the  primary 
programming language, ensuring seamless implementation	  and integration of the summarization a	gent into existing workflows.	 	  
Project 3:	 AI-Powered 	Automated SAR Narrative Generation	 	
Develop	ed 	an  innovative  AI	-powered  solution  for  automating  Suspicious  Activity  Report  (SAR)  narrative  generation.  Leveraging 	
advanced  prompt  engineering  techniques, 	the  application  streamlines  the  otherwise  manual  and  tedious  process  of  writing  SAR 	
reports based on input case details provided.	 	
Utilizing 	Lang  Chain	 and  state	-of-the	-art  Large  Language  Models  (LLMs),  the  system  efficiently  generates  SAR  narratives  with 	
unparalleled  accuracy  and  efficiency.  Advanced  prompting  techniques  were  instrumental  in  guiding  the  AI  model  to  produce 
contextually relevant and lega	lly compliant reports.	 	
By automating SAR report writing, the application significantly reduces time and costs for clients, eliminating the need for 	manual 	-	
intensive processes. This transformative solution not only enhances operational efficiency but also 	ensures consistency and accuracy 	
in compliance documentation.	 	  
Project 4:	 Automated Data Collection and Intelligent Text Classification for Enhanced Decision Support	 	 Championed the initiation of an advanced Automated Data Collection and Intelligent Clas	sification for Enhanced Decision Support 	
system. Employed state	-of-the	-art Natural Language Processing (NLP) techniques and Machine Learning algorithms to automate the 	
analysis  and  categorization  of  regulatory  news  articles  from  over  1600  sources.  Achieved	 an  impressive  accuracy  rate  of  83% 	
through  the  training  of a BERT model  on  extensive  datasets.  Engineered  a  FastAPI  application  to  seamlessly  incorporate  Machin	e 	
Learning models, enabling smooth interaction with data acquired by RPA bots and APIs. Monthly	 model retraining initiatives were 	
implemented to uphold accuracy levels and ensure alignment with current trends and developments.	 	
  Project 5	: A	I-Powered Credit 	Memo 	Narrative Generation	 	 Initiated the development of an AI	-powered solution tailored for 	the automated generation of Credit Memos, a pivotal component in 	
the credit assessment process. By harnessing LangChain, advanced Large Language Models (LLMs), and innovative prompt chaining	 	
techniques, the application revolutionizes the analysis of entity	 credit requests based on 10K reports and other pertinent data.	 	
Traditionally a 	manual	-intensive task, the generation of Credit Memos typically involves multiple teams within financial institutions. 	
However, 	this 	solution streamlines this process by automa	ting data analysis and narrative generation, providing loan officers with 	
comprehensive insights to facilitate informed decision	-making.	 	
The utilization of prompt chaining techniques orchestrates the integration of task	-specific prompts, enabling the model	 to synthesize 	
information  from  diverse  sources  into  cohesive  narrative  formats.  By  amalgamating  insights gleaned  from  entity  10K  reports  an	d 	
credit  requests,  the  generated  Credit  Memos  offer  a  holistic  view  of  creditworthiness,  empowering  loan  officers  to	 make  well	-	
informed decisions efficiently.	 	
Through  the  amalgamation  of  LLMS,  LangChain,  and  prompt  chaining  techniques,  this  innovative  solution  optimizes  the  credit 
assessment process, enhancing operational efficiency and decision	-making accuracy within f	inancial institutions.	 	  
Project 6:	 AI 	-Powered Content Comparison Agent	 	
Developed an AI	-powered agent for seamless comparison of content across images, text, and hybrid formats. Integrated LangChain, 	
GPT	-4  Vision,  and  GPT	-3.5  with  advanced  prompt 	techniques  for  precise  analysis.  Enhances  efficiency  and  accuracy  in  content 	
comparisons for informed decision	-making.