SAYALI	 SALUNKHE	 	
Mob:+91	-7769974729	 | Email:	 sayali.sk333@gmail.com	 | Linkedin	 | Github	| Pune,	 India,	 411020	 	
EXPERIENCE	 SUMMARY	 	 	
&bull; 	COEP,  Postgraduate 	Data  Scientist  with 	2+  years 	of  overall  experience  focused  expertise  in  the  dynamic  realms  of  Data 	
Science, specializing in Natural Language Processing (NLP) within the broader spectrum of Machine Learning	 	
&bull; 	Skilled	 in python	 packages	 like 	Scikit	-learn,	 Numpy,	 Pandas,	 Tensorflow,	 Keras,	 Hugging	 Face,	 NLTK,	 Spacy,	 Gensim, 	
Matplotlib, Streamlit, Flask.	 	
&bull; 	Worked  in  projects  involving 	classification,  clustering  and  regression  algorithms  like  KNN,  Decision  trees,  Random 	
forest, XGBoost, SVM, K	-Means, LSTMs 	and also have	 an understanding of	 CNN&rsquo;s, Embeddings, Prompt Engineering, 	
Word2Vec,Encoders	-Decoders,Seq2Seq,Attentions,Transformers(BERT),Generative	 AI	 ,ChatGPT,Open	 AI	 API	 with 	
deployment in various platforms like AWS (EC2) Sagemaker, GCP	 	
&bull; 	Comfortable with end to end machine learning lifecycle, starting with	 data collection,	 EDA, feature engineering, feature scaling, 	
model creation, hyperparameter tuning, deployment in production, and retraining the model	. 	
EDUCATION	 	
College	 of Engineering	 Pune,	 COEP	 Pune	 	July	 2015	 - July	 2017	 	
&bull; 	Master of Technology: Electronics 	Engineering	 	 CGPA	: 8.96/10 	
Pune Institute of Computer Technology, PICT Pune	 	July	 2010 	- July	 2014	 	
&bull; 	Bachelor of Engineering: Electronics and Telecommunication	 	 Distinction: 71.6 % 	
MSBSHSE Board, KTHM College, Nashik	 	July	 2008	 - May	 2010	 	
&bull; 	HSC	 - Science	 	86.70%	 	
WORK	 EXPERIENCE	 	
Generative	 AI	 Engineer,	 Datamorphosis	 Pvt.Ltd	 	Mar	 24	-May	&rsquo;24	 	
&bull; 	Collaborated	 with	 the	 backend	 AI	 team	 to develop	 doubt	 clustering,	 question	 answering,	 and	 generative	 AI	 modules.	 	
&bull; 	Implemented	 NLP	 techniques,	 leveraging	 transformers	 and	 LLMs	 for	 enhanced	 performance	 	
Data	 Scientist,	 Freelancer	 	Sept	 22	-Jan	 24	 	
&bull; 	Assist	 in the	 design	 and	 development	 of AI	 models.	 	
&bull; 	Engage	 in data	 analysis	 and	 preprocessing	 for	 machine	 learning.	 	
&bull; 	Collaborate	 closely	 with	 the	 AI	 team to	 optimize	 algorithms	 and	 augment	 existing	 models.	 	
&bull; 	Present	 research	 findings	 and	 actively	 contribute	 to team	 meetings.	 	
&bull; 	Developed	 extractive	 and	 abstractive	 summarization	 using	 advanced	 NLP	 techniques.	 	
&bull; 	Enhanced	 NLP,	 Python,	 and	 ML	 skills;	 deployed	 Transformer	 models	 (e.g.,	 BERT,	 GPT	-4).	 	
&bull; 	Used	 metrics	 like	 ROUGE,	 BLEU	 to measure	 and	 refine	 summarization	 quality.	 	
&bull; 	Teamed	 up with	 cross	-functional	 colleagues,	 shared	 insights,	 and	 findings.	 	
&bull; 	Enhanced	 summarization	 model,	 presented	 results,	 and	 expanded	 NLP	 expertise.	 	
&bull; 	Worked	 on	 NLP,	 Computer	 Vision	 and	 Machine	 Learning	 based	 Projects.	 	
Data	 Science	 Intern,	 iNeuron.ai	| Remote	 	Sept	 19	 - Sept	 20	 	
&bull; 	Requirement	 Gathering	 &amp; Translation:	 Gathering	 data	 from	 various	 sources,	 collecting	 our	 customer&#039;s	 data,	 and	 translating	 it 	
into use cases to solve real	-world problems.	 	
&bull; 	Data Cleansing, Statistical &amp; Data Analysis: Clean, transform &amp; extract insights and provide sentiment analysis using the	 	
feedback from the courses for providing data	-driven recommendations.	 	
&bull; 	Training &amp; Implementation: Developing content	-based course recommendation systems and an automated chat system for 	
questions and answers. Creating machine learning models as well for various use cases supplied by the clients	 	
&bull; 	Knowledge	 in building	 applications	 with	 Artificial	 Intelligence,	 Machine	 Learning,	 Deep	 Learning,	 Recurrent	 Neural 	
Network, Computer vision, NLP and Python.	 	
&bull; 	Worked on Deployment and optimization of various projects computer vision, Machine learning and NLP solution on web	- 	
based application, Azure platform, AWS, GCP.	 	
Machine	 Learning	 Engineer,	 Cognizant	 Technology	 Solutions	 | Pune,	 India	 	Feb	 18	 - Aug	 19	 	
&bull; 	Data	 Analytics	 and	 Reporting:	 	
- Explore	 and	 examine	 data	 from	 multiple	 disparate	 sources.	 Prepare	 a data collection	 plan	 from	 both	 structured	 and 	
unstructured sources Collaborate and co	-ordinate with Technology and Business teams for all data needs.	 	
- Perform	 exploratory	 data	 analysis	 and	 generate	 insights	 Validate	 hypothesis	 developed	 during	 exploration	 phase	 Present 	
initial results to business stakeholders and identify the next steps.	 	
&bull; 	Create	 models	 using	 Python	 which	 involve	 Classification,	 Clustering.	 	
&bull; 	Deriving	 insights	 and	 recommendations	 from	 the	 models.	 Performing	 data	 visualization	 and	 presentation	 to clients.

&bull; 	Document	 all modeling	 steps	 in a systematic	 way	 including	 modeling	 process,	 insights	 generated ,	 presentations	 , model 	
validation results and checklists built in the project.	 	
 
TECHNICAL	 SKILLS	 	
Programming	 Languages	: (Python)	 | Frameworks	 (Tensorflow	 | PyTorch)	 | Rest	 API	 (Flask	 | FastAPI)	 	
Natural	 Language	 Processing	 (RNN	 | Text	 Preprocessing	 | Transformers	 | BERT	 | Encoder	-Decoder	 | NER	 | Spacy	 | NLTK)	 	
Database	 (MySql	 | MongoDb	 ) 	
Cloud	 (AWS,	 AZURE)	 | MLOps	 (Git	 | Docker	 | Github	 Actions)	 	
Machine	 Learning	 Algorithms	 (Linear	 Regression	 | Logistic	 Regression	 | Decision	 Tree	 | Random	 Forest	 | Xg	 Boost) 	Feature 	
Engineering 	(Pandas | Numpy)	 	
Large	 Language	 Models	 (Prompt	 Engineering	 | LangChain	 | Vector	 DB	 | OpenAI	 | LLM)	 	
PROJECTS	 	
Chatbot	 Answering	 from	 Your	 Own	 Knowledge	 Base:	 Langchain,	 ChatGPT,	 Pinecone	 and	 Streamlit	 	
&bull; 	Developed	 a chatbot	 that	 leverages	 the	 power	 of Langchain,	 OpenAI&#039;s	 ChatGPT,	 Pinecone,	 and	 Streamlit	 Chat.	 	
&bull; 	Developed	 chatbot	 not	 only	 responds	 to user	 queries	 but	 also	 refines	 queries	 and	 pulls	 information	 from	 its own	 document 	
index, making it efficient and capable of answering in	-depth questions.	 	
Automated	 Document	 Summarization	 using	 NLP	 	
&bull; 	Developed	 a document	 summarization	 parser	 using	 TensorFlow	 and	 T5	-small	 HuggingFace	 pre	-trained	 model.	 	
&bull; 	Text	 data	 from	 PDF	 is extracted	 using	 the	 PyPdf	 library.	 	
&bull; 	Evaluated	 the	 performance	 of the	 summarization	 algorithm	 using	 metrics	 such	 as ROUGE	 and	 BLEU	 scores.	 	
&bull; 	Conducted	 A/B	 testing	 to evaluate	 the	 performance	 of the	 algorithm	 against	 other	 state	-of-the	-art	 summarization	 techniques.	 	
&bull; 	Utilized	 AWS	 cloud	 for	 project	 implementation	 and	 EC2	 instance	 for	 model	 deployment.	 	
&bull; 	Implemented	 CI/CD	 using	 Github	 actions.	 	
Video	-Document	 based	 Conversational	 AI	 system	 using	 LLM	 and	 LangChain	 	
&bull; 	Built	 a conversational	 AI	 system	 utilizing	 LangChain	 and	 LLM	 to extract	 key	 information	 from	 video	 transcripts	 or 	
documents.	 	
&bull; 	Whisper	 Base	 7b	 is used	 for	 audio	 transcription.	 	
&bull; 	Used	 OpenAI	 embeddings	 class	 for	 generating	 the	 embeddings.	 	
&bull; 	Used	 Chroma	 DB	 to save	 the	 embeddings	 and	 cosine	 similarity	 is used	 to find	 out	 the	 similar	 chunks	 of documents.	 	
&bull; 	A group	 of tasks	 including	 video	 summarisation,	 and	 chat	-with	-video/documents	 are	 obtained	 using	 text	-davinci	-003	 LLM 	
model	 	
Fine	-Tune	 a Generative	 AI	 Model	 for	 Dialogue	 Summarization	 	
&bull; 	Fine	-tune	 an existing	 LLM	 from	 Hugging	 Face	 for	 enhanced	 dialogue	 summarization	 	
&bull; 	Set	 the	 FLAN	-T5	 model,	 which	 provides	 a high	-quality	 instruction	 tuned	 model	 and	 can	 summarize	 text	 out	 of the	 box.	 	
&bull; 	Perform	 Parameter	 Efficient	 Fine	-Tuning	 (PEFT	), evaluate	 the	 resulting	 model	 and	 see	 that	 the	 benefits	 of PEFT	 outweigh 	
the slightly	-lower performance metrics.	 	
TRAINING	 AND	 CERTIFICATIONS	 	
&bull; 	Certified	 Data	 Science	 Professional,	 OdinSchool	 Certificate	 ID	-O4gQIBA4O0	  	Feb	 2023	-Sept	 2023	 	
&bull; 	Generative	 AI	 with	 LLM	 	
&bull; 	Microsoft	 Azure	 for	 Data	 Engineering	 	
&bull; 	5 star	 Hacker	 Rank	 Profile	 	
&bull; 	Testdome	 Python	 and	 SQL	 skill	 test	 certifications	 	
&bull; 	Google	 Generative	 AI	 Learning	 Path	 	
&bull; 	Graduate	 Level	 course	 from	 Stanford	 cs224n	: Natural	 Language	 Processing	 	
&bull; 	GATE	 2015	 Qualified