Hello, I'm Sangam Sanjay Bhamare
MSc Big Data Science | Queen Mary University of London
London | +44 0758 654 3125 | bhamaresangam1@gmail.com
LinkedIn |
GitHub
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MSc Big Data Science | Queen Mary University of London
London | +44 0758 654 3125 | bhamaresangam1@gmail.com
LinkedIn |
GitHub
Years of Experience
Projects
Certifications
Awards of Excellence
As an aspiring Data Scientist with a Master's in Big Data Science from Queen Mary University of London, I am excited about the possibilities that data holds for driving insights and innovation across various industries. I am eager to apply my skills in data science to real-world challenges, specializing in areas like AI, Machine Learning and Big Data. I am driven by the potential to use data-driven insights to influence business decisions, solve problems and foster innovation. I am actively seeking opportunities to collaborate with forward-thinking teams, contributing to impactful projects and continuing my growth as a data scientist.
Queen Mary University of London | Sep 2024 - Sep 2025
Modules: Data Mining, Applied Statistics, Natural Language Processing, Machine Learning, Risk & Decision Making for Data Science & AI, Neural Networks & Deep Learning, Digital Media & Social Networks, Big Data Processing
Pune University, India | Jan 2021 - Jul 2023
Modules: Object Oriented Programming, Software Engineering, Database Management, Computational Statistics, Artificial Intelligence, Cloud Computing, Blockchain Technology, Deep Learning, Computer Network
Grades: 3.81 / 4 GPA
SNJB’s SHHJB Polytechnic, Chandwad | Jul 2017 - Dec 2020
Modules: Data Structure & Algorithms, Object Oriented Programming, Computer Networking, Mathematics, Cloud Computing, Python, Java, Database Management, C++
Grades: 93.60%
Python, SQL
Supervised & Unsupervised Learning, Deep Learning, NLP, Computer Vision, Generative AI
Pandas, NumPy, Scikit-learn, PySpark, TensorFlow, PyTorch
Apache Spark, Hadoop, Hive, Databricks
Power BI, Tableau, Matplotlib, Seaborn, Plotly
Model Deployment, CI/CD, MLflow, API Development
AWS, Azure, Google Cloud (GCP), Cloud ML Services
Feb 2025 - Present
Introducing Document Summarizer! Check out my web app that uses Facebook's BART model to generate concise summaries from PDFs, DOCX, or TXT files. It automatically chunks long texts and shows word count differences between the original and the summary.
LIVE DEMOFeb 2025 - Present
Processed 1,000+ survey responses using data cleaning, statistical analysis, and geospatial visualization. Developed a Streamlit dashboard with 30% improved insights and real-time data export. Applied Python (Pandas, Matplotlib, Seaborn) to analyze trends and generate 10+ visual reports.
LIVE DEMOFeb 2025 - Present
Analyzed 150+ restaurant records to extract insights on ratings, reviews, and location-based trends. Implemented ML models with up to 85% accuracy for predicting ratings and recommending restaurants. Utilized Python (Pandas, scikit-learn) for data processing, feature selection, and model building.
LIVE DEMODec 2024 – Jan 2025
Performed customer segmentation on a retail dataset using K-Means clustering. Applied Python (Pandas, scikit-learn) for data preprocessing and model development, generating actionable insights for targeted marketing.
LIVE DEMOOct 2024 – Nov 2024
Developed a machine learning model to predict story truthfulness from audio features (pitch, power). Applied Random Forest, KNN, and Logistic Regression, achieving 75% test accuracy. Visualized key features to improve model performance.
LIVE DEMOJan 2024 – Jul 2024
Developed an AI model using Chat-GPT, Python, and Streamlit, reducing caption generation time by 40%. Automated image captioning, achieving 98% user satisfaction in initial tests.
LIVE DEMODec 2024 – Feb 2025
Solved 200+ complex mathematical problems across various levels to train and refine AI math models, ensuring higher accuracy. Optimized AI model performance, achieving 95%+ accuracy by validating and iterating outputs for improved problem-solving. Reviewed and rated 500+ solutions, providing detailed feedback to enhance precision and AI learning efficiency.
Jan 2023 – Jun 2023
Implemented authentication and authorization mechanisms using SSO, ForgeRock, and MFA, securing 500+ user logins and improving access. Conducted security-driven data analysis on 1,000+ authentication logs, testing multi-user login patterns and learning IAM concepts. Collaborated with the company director, optimizing login mechanisms, increasing authentication efficiency by 20%, and generating reports.
Mar 2022 – Apr 2022
Developed an AI-powered therapy chatbot using NLP to analyze emotions and recommend stress management solutions, improving accessibility. Implemented Naive Bayes and Collaborative Filtering, achieving 85% accuracy in detecting anger, fear, depression, and anxiety. Collaborated with 10+ international interns, optimizing chatbot interactions, integrating web applications, and enhancing database-driven recommendations.
May 2018 – Jun 2018
Developed fundamental Android applications using Java in Android Studio. Demonstrated the ability to create functional, user-friendly mobile applications. Gained practical experience in building, testing, and debugging Android applications.
Feb 2020
Organized a blood donation camp at the institute, facilitating over 150 student donations through effective coordination.
Feb 2020 – Mar 2020
Coordinated a state-level technical festival with over 500 participants and managed a team of 15 volunteers for smooth execution.
Jun 2018 – Apr 2019
Led IoT workshops for over 200 students on sensor integration and data transmission, improving understanding by 30%, while managing 15 volunteers during competitions.
Jun 2019 – Nov 2020
Represented a class of 80 students and the computer department at various events.
MLIP 2023 · Dec 22, 2023
Presented and published "Data-Driven Ganesha Festival Management: NLP Chat-bot, Ecommerce, Request Modules and Data Analytics Integration" at MLIP-2023 (Dec 2023); paper indexed by Scopus.
Notion Press · Apr 7, 2023
This book covers a wide range of topics, including mindfulness, social connections, exercise and diet, coping with negative emotions, identifying your passions, building resilience, and the impact of giving back. Through actionable tips and exercises, readers will learn how to overcome obstacles to happiness and pursue their passions for a happier life.
HBRP Publications · Nov 1, 2019
This paper outlines a digitalized approach to farming, enabling farmers to assess crop necessities and predict growth accurately to improve productivity.
Secured Academic Rank 1 in Bachelor's at JSPM's Rajarshi Shahu College of Engineering, Pune.
Secured Academic Rank 1 in Diploma at SNJB’s HHJB Polytechnic, Chandwad.