﻿SURYAPRATAP SUNAHRA
Detail-oriented professional, pursuing a dynamic role in Data Science in an organization of high repute for mutual growth and success.
s.sunahra@gmail.com | +91-898-316-8114 | LinkedIn | GitHub | Pune, MH &ndash; 411014
226695869950
PROFESSIONAL SUMMARY: 
Worked as a Data Science Intern at Intellipaat Software Solutions Pvt. Ltd., representing practical skills in utilizing the MS SQL Server Database through SQL Server Management Studio (SSMS).
Comprehensive understanding of the concept of Data Science - Advanced Analytics, Predictive Modeler, Machine Learning algorithm in technical and functional domains.  
Skilled in providing data-driven, action-oriented solutions to challenging business problems.          
Excel in Python, NumPy, Pandas, Azure Cloud Services and Power BI, with a robust understanding of Deep Learning, NLP and Neural Networks, ANN, RNN, CNN. 
Proficient in leveraging advanced statistical analysis techniques and machine learning algorithms to extract actionable insights and drive data-driven decision-making processes effectively.
Capable of applying deep learning techniques to analyze and interpret complex datasets.
Stay well-informed of the latest advancements in data science and technology, incorporating innovative approaches into existing work-flows.
Possess strong soft skills including communication, analytical thinking, adaptability, time-management and more.
Good understanding of current market trend - Generative AI (GenAI), Large Language Models (LLMs), Transformers, Encoder/Decoder.
CORE COMPETENCIES: Data Science, Data Analysis, Predictive Modelling, Machine Learning , Data Modelling, Python Programming, MLOps, Natural Language Processing (NLP), Deep Learning, Artificial Intelligence
SKILLS: Jupyter Notebook, Google Colab, VS Code, MS SQL Server, Python, NumPy, Pandas, Azure Cloud Services, Power BI, DAX, Git/GitHub, Keras, TensorFlow, Statistics, NLP, Kaggle, Neural Networks, Flask, Data Visualization &amp;amp; Reporting. 
EXPERIENCE: 
Intellipaat &ndash; Edtech firm                                                          02/23 &ndash; 02/24
Data Science Intern
Key Result Areas: 
Spearheaded projects in Jupyter &amp;amp; Google Colab environment, utilizing MS SQL Server Database for efficient decision-making.
Leveraged Python &amp;amp; Machine Learning &ndash; AI Algorithms to derive meaningful insights for numerous projects.
Managed cloud operations on Azure environment, including AutoML, Virtual machines &amp;amp; Azure SQL.
Established expertise in NLP projects and Deep Learning frameworks for enhanced forecasts &amp;amp; AI executions utilizing TensorFlow, Keras and Neural networks.
Engaged in Kaggle competitions to enhance predictive models and global reach.
Utilized NLP for projects with a focus on NLU &amp;amp; NLG and derived insights through visualizations using PowerBI &amp;amp; DAX.
Performed Exploratory Data Analysis (EDA) on large small &amp;amp; medium data sets.
Collaborated with cross-functional teams to enhance project outcomes and drive innovation. 
Analyzing and processing complex data sets using advanced querying, visualization and analytics tools.
Practical experience with ETL, data processing, database programming and data analytics.
Analyzed the pre trained model like VGG16, VGG19, Resnet50, Imagenet, etc. &amp;amp; predicted the images at output. Strong experience with Neural networks, ANN, RNN, CNN.
Good experience with MLOps - Statistical modeling, NLP - Named Entity Recognition (NER), Sentiment Analysis, etc.
Performed data analysis and extracted meaningful insight for an enhanced Decision making. 
Tools and packages: Pandas, Matplotlib, Seaborn, Plotly, Numpy, OpenCV, Flask, Sci-Kit Learn, Tensorflow, Keras, Facebook Prophet, NLP &ndash; Beautiful Soup, Spacy. 
Highlights: 
Implemented a data visualization dashboard using PowerBI, resulting in a 25% increase in data accessibility and insights for stakeholders, improving decision-making processes.
Spearheaded a project resulting in a 20% increase in predictive model accuracy, optimizing decision-making processes and enhancing operational efficiency.
PREVIOUS FULL TIME EXPERIENCE:
Infojini Consulting Pvt. Ltd. | Senior Recruiter - US Staffing | Thane, MH | May, 22 &ndash; Jan, 24
Compunnel Software Group | Account Manager | Goa, IN (Remote) | Feb, 21 &ndash; April, 22
Elevax Technologies | Senior Bench Sales Recruiter | Hyderabad (Remote) | June, 20 &ndash; Feb, 21
Veracity Softwares Pvt. Ltd. | Bench Sales Recruiter | Pune, MH | June, 19 &ndash; March, 20
PROJECTS: 
Walmart Inventory Management: Resolved inventory management challenges for a national retail chain at Walmart, optimizing supply chain dynamics.
Netflix Recommendation Engine: Enhanced user experience on Netflix by developing a recommendation engine centered on customer viewing and rating data.
AI Customer Churn Classification using Keras: Implemented a Keras-based AI model for binary classification to predict customer churn, leveraging company data for proactive retention.
Face Recognition: Employed Python with OpenCV and haarcascade classifier to identify faces in multiple images for face recognition.
AI Chatbot Implementation: Applied an AI chatbot utilizing IBM Watson Chatbot technology. 
NLP &ndash; Implementing LSTM: Utilized NLP and LSTM modeling to analyze Twitter data, determining conversation context and topics.
Bio-Signal Analysis for Smoking: Conducted bio-signal analysis to identify smoking behavior based on multiple biological parameters, employing bagging algorithms for high precision.
Web &ndash; Scrapping: Executed web scraping and crawling utilizing Python, NLP, BeautifulSoup-Requests to extract content and context from Wikipedia pages.
EDUCATION:
MBA&ndash; Human Resource | Savitribai Phule Pune University | Pune | 2019 
B.E. Electronics &amp;amp; Telecommunication | Dr. Babasaheb Ambedkar Marathwada University | Aurangabad | 2017
CERTIFICATIONS: 
Certified Data Scientist | Intellipaat
Advance Data Science &amp;amp; AI | IITM Pravartak
Python for Data Science | IBM
Deep Learning with TensorFlow | IBM



