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Data Scientist Resume Buffalo, NY
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Title data scientist
Target Location US-NY-Buffalo
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                             Candidate's Name
                               PHONE NUMBER AVAILABLE |  EMAIL AVAILABLE | LINKEDIN LINK AVAILABLE

SUMMARY
Experienced Data Science professional with 2+ years of industry expertise in data analysis, visualization, ML and full-stack
development, seeking opportunities in Data Science and AI/ML fields.

EDUCATION
Masters in Artificial Intelligence                                                                      Aug 2022 - Jan 2024
University at Buffalo, State University of New York, NY                                                              3.3 GPA
coursework: Machine Learning (ML), Big data, Biometrics image analysis, Computer vision, Deep learning (DL), Pattern
recognition, Robotics algorithms, Numerical Math, Natural Language Processing (NLP), Data structures, Gen AI
PROFESSIONAL EXPERIENCE

Data Scientist - Jersey STEM, New Jersey                                                                           Feb 2024   Present
     Implemented LLama2 LLM model from Hugging Face using LangChain for text classification, significantly improving accuracy
     through fine-tuning
     Boosted AI model training accuracy by 12% through strategic data wrangling techniques and innovative pseudo -labeling
     methods, validated by robust performance metrics
     Managed and updated critical datasets to uphold data integrity and accuracy standards, essential for reliable model performance
Data Scientist - Favordrop, Buffalo, NY                                                                       Jun 2023   Aug 2023
     Developed sales forecasting models with improved prediction accuracy by integrating demographic and competitive datasets using
     Python and SQL Server
     Reduced manual work by 30% and saved operational time by implementing automated data retrieval and cleansing process
     Developed an effective data pipeline for extract, transform, and load (ETL) processes
     Performed A/B testing and used KNN, statistical analysis, and neural networks to predict client preferences with high accuracy,
     enhancing customer satisfaction through personalized recommendations

Data Scientist - Wipro, India                                                                                  Dec 2020   July 2022
     Developed and deployed ML models for sales forecasting, customer segmentation, and recommendation systems using
     TensorFlow, PyTorch, and scikit-learn
     Conducted extensive EDA using Python libraries (Pandas, NumPy, Matplotlib, Seaborn) and performed data cleaning,
     normalization, and feature engineering to ensure high-quality input data
     Created interactive dashboards and visual reports using Tableau to communicate data-driven insights and trends to stakeholders
     Implemented model evaluation metrics (precision, recall, F1 score, ROC-AUC) and performed hyperparameter tuning with
     GridSearchCV and RandomizedSearchCV for performance optimization

Graduate Teaching Assistant - University at Buffalo, Buffalo, NY                                              Sep 2023   Dec 2023
     Assisted a class of 40 students with ML concepts like Regressions, Clustering, NLP and Computer Vision
     Developed auto-grading scripts for a faster grading and engaged in code review sessions
TECHNICAL SKILLS
Programming: Python (SciPy, Scikit-learn,TensorFlow, PyTorch), R, Java, JS, C, HTML, CSS
Databases: MySQL, SQLite, PostgreSQL, Relational databases(RDBMS), Azurely
Tools: VScode, Jupyter Notebook, Github, Linux, MATLAB, Tableau
Others: Docker, PySpark, Hadoop, Agile Methodology, MLOps

ACADEMIC PROJECTS
Customized Document-Based Chatbot
     Developed a chatbot using Retrieval-Augmented Generation (RAG) with a pre-trained Large Language Model (LLM) to answer
     queries based on specific documents
     Utilized a vector database for efficient document indexing and retrieval
     Implemented and fine-tuned the chatbot to provide precise and relevant responses, enhancing user experience with accurate
     information retrieval

Water Management System
    Developed a centralized database with a Flask API(REST) for sensor data communication and collection, and built a React
    UI for real-time usage monitoring and billing analysis
    Applied advanced time series analysis techniques (LSTM) on the collected data to predict future water demands, improving
    resource management and operational efficiency

Secure Biometric Identification System
     Annotated a custom full-hand image dataset, extracting finger bounding boxes
     Trained a CNN model to detect and validate fingerprints by recognizing ridges and valleys
     Achieved 75% accuracy and saved the trained model as a pickle file for secure biometric identification

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