Shilpa   Shaw  
 
Data   Scientist   |   Data Analy st   |  Machine   Learning Engineer   | AI   Enthusiast  
  +91 	- 9903369681
 	 shilpashaw9681@gmail.com  	 LinkedIn  	 GitHub  	 
Portfolio	 
 
     SKILLS   AND   TOOLS  
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Programming &amp; Development:  Python, Scikit - Learn, TensorFlow, Keras, PyTorch, Transformers, Beautiful Soup, Librosa, EDA, ETL, 
PySpark, Matplotlib, Plotly, Open - CV, SQL, Flask, Docker, GitHub Action, Git    
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Data Science &amp; Al:   Deep Learning, Data Analysis, Pre dictive Modeling, Artificial Intelligence, Statistical Modeling, Data Visualization, Time 
Series Analysis, Cloud Machine Learning (AWS), NLP, Prompt Engineering, Generative Al, LangChain, LLama, LLMs.  
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Data Analysis &amp; Visualization:   MS SQL (SSMS), MS Excel   ( Pivot tables   &amp;  Pivot Charts ) , Power BI   (DAX) , IBM SPSS  
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Developer Tools:   Github, VScode, Jupyter, Colab, pip, Docker, HuggingFace, Jenkins, OpenAI GPT - 3.5  
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Soft Skills:   Analytical skills, Effective Communication, Collaboration, Team Building, data - driven de cision - making, problem - solving, Curiosity    
WORK   EXPERIENCE      
Data   Scientist / Machine learning  intern   |   Vlippr   Jan   &#039;24  
-   Present  
&bull;   Audio Database Management &amp; Analysis : Proficient in managing and analyzing audio databases with GCP Console and YouTube Data  API 
v3, integrated with SSMS for comprehensive data handling.  
&bull;   NLP &amp; Text - to - Speech Expertise : Advanced experience in deploying large language models like Whisper, X - TTS, MetaVoice, and Wav2Vec 
for text - to - speech tasks, achieving up to 90% accuracy through  meticulous fine - tuning.  
&bull;   Speech Processing &amp; AI Dubbing : Adept in speech - to - text processing using Wav2Letter, with a focus on feature extraction for style and tone, 
achieving 95% accuracy. Skilled in enhancing AI - powered multilingual dubbing, significantly  improving production workflows and reducing 
time - to - market.      
Data   Scientist   Intern   |   Intellipaat   Apr   &#039;23  
-   Dec   &#039;23  
&bull;   Data Science Collaboration : Engaged in data operations, including collection, cleaning, and preprocessing, leveraging Python, SQL, MS 
Excel, and Power BI to support team objectives.  
&bull;   Dashboard Migration &amp; Enhancement : Executed the migration and feature enhancement of merchandising dashboards, focusing on data 
integration and improvement using DAX for optimal performance.      
Researcher  |   Writerbay   Aug   &#039;21  
-   Dec   &#039;23  
&bull;   Recognizes the importance of research data management as a fundamental aspect of resource management across various domains, 
contributing to the overall efficiency and success of research projects.  
&bull;   Created extensive projects  and assignments centered around statistical concepts, harnessing the power of Microsoft tools and IBM SPSS.      
Research Data management  |   Royal   Research   Jan   &#039;1 8  
-   Sep   &#039;21  
&bull;   Expert in crafting data organization and storage strategies for quantitative and  qualitative research   throughout the project&rsquo;s duration.   
&bull;   Adept at applying statistical inference with SPSS, NVivo, and RStudio for comprehensive primary and secondary analysis.  
    
PROJECTS      
Boston House Pricing Prediction:  End to End Machine Learning Project Implementation with Dockers, GitHub Actions and Deployment.   
Finetune LLM models:  Fine - tuned llama2 model with custom dataset using PEFT, LORA, QLORA via quantization and calibration to get 90% accuracy.    
Spearheaded a  comprehensive Cricket Data Analytics Project : Employed Web Scraping techniques to extract T20 World Cup data from ESPN Cricinfo, 
followed by data cleansing and analysis using Python and Pandas, culminating in insightful visualizations with Power BI.  
Music  Store Data base   Analysis : Facilitated   the   analysis   using SQL to  help the store understand its business growth  strategies   by 50% at EOY.    
Credit Card Financial Dashboard : To develop a comprehensive credit card weekly dashboard that provides real - time  insights into key performance 
metrics and trends, enabling stakeholders to monitor and analyze credit card operations effectively.  
Walmart   Sales   Forecasting :  Forecasted   sales   for   the   next   12   weeks   using   predictive   modeling   techniques using ARIMA, SARIMA  time   series   model.  
RVC (Retrieval - based Voice Conversion) model - based LLM project : Created a speech - to - speech translation of data using the RVC v2 model for voice 
cloning and transformed AI voice   obtaining 95% accuracy in audio output   with cloned voice .  
AT S Friendly resume:   Leveraged Google Gemini Pro Vision LIM Model to enhance resume analysis, aligning with job descriptions and providing 
actionable improvement suggestions, resulting in a 25% increase in interview callbacks for job seekers.  
End - to - End Adva nced RAG Project : Llama2 and Mistral integrated with Groq&#039;s high - performance inferencing engine to enhance real - time AI response.    
 
EDUCATION   AND   CERTIFICATIONS  
&bull;   PGP   (Post Graduation Program)   in   Data   Science   and   Machine   Learning   ( SQL   &amp;   Python )   |   Intellipaat   |   Dec   2023  
&bull;   Machine   Learning   with   Python:   MITxMicroMasters/IDSS   |   MIT   -   Massachusetts   Institute   of   Technology   |   Dec   202 3  
&bull;   B.Tech   in   Electronics   and   Communications   Engineering   (ECE)   |   MAKAUT   (WBUT)   |   Aug   2013   -   Jul   2017  
&bull;   Generative AI with Large  Language Models | DeepLearning.AI, AWS | Coursera | March 2024  
&bull;   Microsoft   Azure   Data   Scientist   Associate   (DP - 100)   Professional   |   Coursera   and   Microsoft   |   Feb   2024   -   Present  
&bull;   British   Airways ,  Boston   Consulting   Group , BCG   &ndash;   DS   &amp; Gen AI   Job   Simulation   |   Forage   |   2024