Summary	 	
&bull; 	Having 	5 years	 of  industry  experience  in	 Machine  Learning,  AI, 	Generative  AI,  and  data	 with  few  y	ears  of 	
experience in managing	 Data	 science	 and Machine learning	 projects	. Application to the disciplines of machine 	
learning  and  neural  networks  using  a  variety  of  systems  and  methods  in  trainin	g  algorithms  with  different 	
clou	d platform	. 	
&bull; 	Efficient in preprocessing	 data	 including	 Data	 cleaning, Correlation analysis, Imputation, 	Visualization, Feature 	
Scaling and Dimensionality Reduction techniques using Machine learning platforms like Python	 Data	 Science 	
Packages (Scikit	-Learn, Pandas, NumPy).	  	
&bull; 	Experience in 	building	 Natural Language Processing, Text Classification, Semantics and	 Sentiment Analysis	. 	
&bull; 	Experience  in  Text  Analytics,  developing  different  Statistical  Machine  Learning,	 Data	 Mining  solutions  to 	
various business problems and generat	ing	 data	 visualizations using	 Python.	  	
&bull; 	Experience in	 data	 analysis, handling missing	 data, 	feature scaling, outlier analysis and 	unstructured data.	 	
&bull; 	Experience in AI and Deep learnin	g platforms such as 	pytorch, 	TensorFlow 	and Keras.	  	
&bull; 	Highly competent at researching, visualizing and analyzing raw	 data	 to 	identify recommendations for meeting 	
organizational challenges.	  	
&bull; 	Experience in 	EDA, 	building recommended systems	 and working on unstructured data	. 	
&bull; 	Experience working with R	DBMS such as SQL Server, MySQL	, Oracle	. 	
&bull; 	Experience in building large 	language model applications	 (LLMs)	 with LLAMA and GPT	, Claude	, and finetunning 	
for our own dataset with RAG	 framework	 and 	PEFT technique like 	LORA	. 	
&bull; 	Experience in working on various vector databases ChromaDB, Pinecone and similarity search with FAISS	 	
Experi	ence:	 	
StatusNeo	 Technologies	, Gurugram	 	
AI/ML Senior Consultant	  	
December 2023	 to Present	  	
Responsibilities: 	 	
&bull; 	Responsible for developing chatbot using large language model that answers questions from the	 json 	files	, 	
for this	 use case	 we use	 Anthropic	 Claude 	model	 from AWS Bedrock and creating vectorstore wrapper to 	
retrieve documents	. 	
&bull; 	Developed	 large language model (LLM) application 	for Sentiment Analysis (3 categories) and Emotion 	
Extraction (12 categories) to find the best suited sentiment and emotion of the 	complete text. For this use 	
case w	e use LLAMA2	-70B LLM model from AWS Bedrock.	 	
 
Bravura Solution	s,  Gurugram	 	
Machine Learning Engineer 	 	
September 2022 to 	December 2023	  	
Responsibilities: 	 	
&bull; 	Responsible for developing chatbot	 using large language model	 that answers questions from the confluence 	
pages about the projects, for this we use llama	-2 13B model and finetune it with RAG and lora.	 	
&bull; 	Developing large language 	model (LLM) application for writing SQL	 queries for	 our databases, train acco	rding 	
to them 	using	 different version of	 llama models	. 	
&bull; 	Responsible for creating dashboard on our databases insights after EDA and extracting required 
information&rsquo;s for our business need.	 	
&bull; 	Responsible for applying torchs	erve on pytorch trained models which was previously 	with Flask, testing and 	
deployment of TorchServe	 on AWS cluster.	 	
&bull; 	Develop and create	 python package for the product, building pipeline an	d publish own package.	 	
Rishav Kumar	 	
Email:	 rishav.adiran@gmail.com	 	
Mobile Number: 	8709145557/9457178931	 	
linkedin.com/in/rishav	-kumar	-98b04213b

NCR Corporation	, Gurugram	 	
Data Scientist	 II 	
March	 2021	 to September 2022	 	
Responsiblities:	 	
&bull; 	Responsible for building 	Deal Scoring Project	 where 	price range 	of a deal is calculated, it depends on type of 	
deal. 	We  are 	four	 people  team	 where	 my  role  here  is  to  write  logic,  API  code  for  FastApi,  connection  with 	
oracle and hive 	tables	 and deployment on 	Linux	 server	. 	
&bull; 	Developed 	Fraud Detection m	odel 	and fraud analysis of the data 	to find frauds happening in bank transactions 	
tried several algorithms like	 Anomaly detection, C	lustering 	and Neural Network with feature 	engineering and	 	
several pre	-processing steps	 in Jupyter Notebook through Azure Machine Learning Studio	 instance	  	
&bull; 	Responsible  for  the  analysis  of 	unstructured 	data  for  Shipment  Consolidation  project  where  objective  is  to 	
reduce cost of shipment, which is all over	 America	. There are 	two	 parts in this project, first is to how to fit all 	
the  packages  inside  a  container 	or  truck 	so  maxi	mum  packages  can  be  uploaded,  second  part  is  of  route 	
optimization like if a truck is delive	ring several packages for different location. We are five people team where 	
my role is of route optimization and information of how packages are organized.	 	
Beahead	 PVT LTD,	 Noida	 	
Machine Learning Engineer	 	
August	 201	9 to 	March 2021	 	
Responsiblities:	 	
&bull; 	Applied  various  machine  learning  algorithms	,  deep  learning  algorithms	 and  advanced	 statistical	 analysis	 like	 	
classification algorithms, regression models using sci	kit	-learn	, keras, tensorflow	 package in Python.	  	
&bull; 	Build  various  scrapers  for  client  of  Instagram,  Facebook,  Twitter 	and  for  data  mining.  In  the  same  project 	
gender classification and age group classification model has been build with deep learning algorithms like CNN 
and transfer lear	ning.	 	
&bull; 	Engineered  seve	ral  models  have  been  built  like  Age  classification  (accuracy 	&ndash; 92%),  Gender  classification 	
(accuracy 	&ndash; 94%),  Sentiment  analysis  (accuracy 	&ndash; 98%)  and  keep  improving  these  models  to  make  more 	
informed decision for the client to find the perfect influencers f	or their brands to advertise. 	 	
&bull; 	Analysing  the  scraped  influencer  like  how  their  followers,  following,  posts  or  tweets  are  increasing  or 
decreasing, what kind of posts they are posting, how it is effecting their reach and engagements.	 	
&bull; 	Responsible for 	building sentiment analysis model	. 	
Technical Skills:	 	
Database	: SQL	, MySQL	 	
Programming Languages:	 Python	 	
Machine Learning:	 NLP,	 Regression, Clustering	, Classification	, Transformers, Seq2Seq, 	Dimensionality Reduction, 	
Natural Language Processing, Topic 	Modelling, Q&amp;A System, Text Summarizer	, Computer vision	 etc	. 	
Gen AI	: , LLMs, Generative AI, ChatGPT, Prompt engineering, Langchain	, HuggingFace, LoRa, 	GPT models, LLAMA, 	
CLAUDE, FAISS, RAG, Vector Databases, Pinecone, ChromaDB	 	
Technologies/Tools:	 Azure Mac	hine Learning	 Studio	, Tensor	flow	, T	orch, Keras	, openCV, 	OCR, pytesseract, 	NLTK, 	
Spacy, R	egex, BeautifulSou	p, Statsmodel, TorchServe, AWS	 (Sagemaker, Bedrock, Athena, S3bucket)	, Docker, 	
Databricks	, Gitlab, GitHub 	etc	. 	
 
Education	: 	
JP Institute of 	Engineering and Technology	 	
Bachelor of Science and Technology, 	 	
Computer Science &amp; Engineering	 	
2014 	&ndash; 2018