About
I'm a highly driven and adaptable graduate with a Bachelor of Technology (B.Tech) in Computer Science and Engineering from Dr. Akhilesh Das Gupta Institute of Technology and Advanced Learning, affiliated with Guru Gobind Singh Indraprastha University (GGSIPU). I am currently completing my Post Graduate Diploma in Business Insights and Analytics at Humber College, Toronto. My core expertise lies in data science, machine learning, natural language processing, computer vision, and business intelligence. I have successfully completed multiple industry internships where I developed and deployed AI/ML solutions using Python, SQL, FastAPI, Spark, and cloud platforms like AWS and Azure. I'm a collaborative team player with a strong analytical mindset, exceptional problem-solving skills, and a passion for turning complex data into actionable insights. I bring a growth-oriented attitude, sharp attention to detail, and a commitment to driving innovation in everything I do.

Data Scientist
Driven. Reliable. Impact-Oriented. I’m a passionate Data Scientist with a robust foundation in Computer Science and a proven ability to thrive under pressure in fast-paced corporate environments. With an unwavering commitment to deadlines and a collaborative spirit, I bring sharp analytical thinking, flawless execution, and clear communication to every project. My mission? To turn data into actionable insights, powering smarter decisions and strategic growth through advanced analytics and predictive modeling. Whether it’s crafting AI-driven solutions or solving complex business problems, I’m here to elevate organizations with data that delivers.
- Date of Birth: January 28, 2001
- Phone: +1 4378764544
- City: Toronto
- Country: Canada
- Age: 24
- Email Address: sayamk565@gmail.com
- Freelance: Available
Skills
- Detail-oriented and meticulous in collecting, cleaning, and validating large datasets to ensure integrity and completeness.
- Proficient in Python, with experience building and deploying ML/DL models using frameworks such as TensorFlow, PyTorch, and Keras.
- Skilled in SQL and NoSQL (MongoDB), enabling efficient querying, transformation, and storage of structured and unstructured data.
- Strong foundation in statistics and hypothesis testing using tools like IBM SPSS and R, with applied knowledge in regression, forecasting, and classification models.
- Expert in using Matplotlib, Seaborn, Plotly, and Tableau to create meaningful and interactive data visualizations for business decision-making.
- Experience developing and validating models in production using MLOps practices with MLflow, CI/CD pipelines, and Docker containers.
- Demonstrated ability to improve model performance through feature engineering, hyperparameter tuning, and error analysis.
- Built scalable APIs using Flask, FastAPI, and Django, contributing to enhanced data pipeline efficiency and system responsiveness.
- Adaptable and collaborative team player with strong communication skills, able to translate complex data insights for non-technical stakeholders.
- Hands-on experience with cloud platforms (AWS, Azure) and big data tools (Spark, Databricks, Airflow) for analytics and distributed model training.
- Published research on fake review detection using supervised ML (IEEE ICDSIS 2022), showcasing research-driven innovation.
- Consistently deliver performance improvements, including a 5% increase in model accuracy, 30% reduction in data processing time, and 42% faster deployment cycles.
- Proactive in continuous learning, completing multiple certifications including IBM Data Analyst, IBM Data Science, and Applied Data Science Specializations.
Resume
Projects Portfolio
Services
Programming & Scripting
Proficient in Python for scripting and development, including libraries like Pandas, NumPy, TensorFlow, and PyTorch. Skilled in SQL/NoSQL for querying structured and unstructured databases.
MLOps & Model Deployment
Experienced in implementing MLOps pipelines using MLflow, Docker, Kubernetes, and Airflow. Proficient in deploying machine learning models with CI/CD practices on AWS and Azure platforms.
Business Intelligence
Skilled in Power BI and Tableau for developing dashboards, stories, and interactive data visualizations to support business decision-making.
Machine Learning
Experienced in implementing supervised and unsupervised learning algorithms using scikit-learn, XGBoost, and Spark MLlib. Strong background in model evaluation and optimization techniques.
Deep Learning
Proficient in building neural networks using TensorFlow and PyTorch for tasks including image classification, object detection, and natural language processing.
Natural Language Processing
Expert in NLP tasks including sentiment analysis, text classification, named entity recognition, and question answering using NLTK, spaCy, and HuggingFace Transformers.
Computer Vision
Skilled in developing computer vision applications using OpenCV, TensorFlow, and PyTorch for image segmentation, detection, and classification tasks.
Time Series Forecasting
Demonstrated expertise in analyzing temporal data and forecasting using ARIMA, Prophet, and LSTM-based models. Skilled in preprocessing, trend analysis, and seasonality decomposition.
Generative AI & LLMs
Hands-on experience with Large Language Models (LLMs) and Generative AI applications using OpenAI APIs, LangChain, and prompt engineering for advanced automation tasks.
Testimonials
Contact
Location:
Unit 302, 240 Lake Promenade, Etobicoke, ON M8W 1B2, Canada
Email:
sayamk565@gmail.com
Call:
+1 4378764544