About

Learn more about me

Data Scientist

  • Nationality: Indian
  • Phone: +91 75598 73761
  • City: Kozhikode, Kerala
  • Email: shaadclt@gmail.com

Passionate and self-motivated data scientist with a robust foundation in data analysis, machine learning, deep learning, and generative AI. I've cultivated a comprehensive understanding of the data science field through online courses, hands-on projects, and continuous self-study.

In addition to my independent learning journey, I've honed my skills through valuable internships focused on data analysis, data pipeline development, and backend development. These experiences have provided me with practical insights and an enhanced ability to apply theoretical knowledge to real-world scenarios.

I possess a solid grasp of statistical concepts and am proficient in the Python programming language, utilizing popular data science libraries such as pandas, NumPy, and scikit-learn. My expertise extends to deep learning frameworks like TensorFlow, Keras, and PyTorch, enabling me to construct and train intricate neural networks for diverse tasks, including image classification, natural language processing, object detection, and generative modeling.

I excel in data cleaning, preprocessing, and exploratory data analysis, employing techniques like feature engineering and dimensionality reduction to optimize model performance. With a keen eye for detail, I have a strong ability to communicate complex technical concepts in a concise manner. My internship experiences have further enriched my skill set, making me adept at seamlessly integrating data analysis techniques, into broader data pipelines.

Currently, I am actively working as a data scientist, applying my expertise in machine learning, deep learning, and generative AI to tackle challenging problems and drive insights for my organization.

Technical Stack


• Data Science | Machine Learning | Deep Learning

EDA, Supervised and Unsupervised Machine Learning algorithms, Neural Networks, DNN, CNN, RNN, LSTM, Transfer Learning.

• NLP | Computer Vision | Generative AI

NLTK, Sentiment Analysis, Object Detection and Tracking, OpenCV, YOLO, LangChain, LlamaIndex, RAG, Ollama, crewAI.

• Python Packages

Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Keras, Tensorflow, Pytorch.

• Databases and Tools

PostgreSQL, MySQL, MongoDB, Power BI, Tableau, Excel, Jupyter Notebook, Google Colab, VS Code.

• Web Development | Cloud Deployment | Containers

Django, Flask, FastAPI, Streamlit, AWS, Git, Github, Docker, MLflow.

Interests

Data Science

Machine Learning

Data Analytics

Artificial Intelligence

Deep Learning

Gen AI

Natural Language Processing

Computer Vision

Resume

Check My Resume

Summary

Mohamed Shaad

A junior data scientist skilled in leveraging statistical,machine learning, and deep learning methodologies to tackle intricate challenges, underpinned by hands-on experience in data analysis, data pipeline development and generative AI.

  • Kozhikode, Kerala, India
  • (+91) 75598-73761
  • shaadclt@gmail.in

Education

Data Science Bootcamp

2022 - 2023

Packapeer Academy (Brototype), India

Master of Science

2011 - 2012

Loughborough University, United Kingdom

Advanced Methods in Aeronautical Engineering

Bachelor of Engineering

2007 - 2011

Anna University, India

Aeronautical Engineering

Professional Experience

Data Scientist

Feb 2023 - Present

BrandCollab, India (Remote)

• Spearheaded the collection, meticulous cleansing, and in-depth analysis of data from diverse sources, processing an impressive volume of over 1 million data points monthly, facilitating informed, data-driven decision-making.

• Currently pioneering the development and deployment of cutting-edge machine learning models to revolutionize brand-influencer matching and campaign performance prediction, aiming to achieve a remarkable 30% surge in operational efficiency.

Data Pipeline Developer (Intern)

Sep 2023 - Dec 2023

HiPER Automotive, India (Remote)

• Pioneered the design and development of a Customer Communication Alert System, resulting in a notable 25% improvement in customer engagement.

• Designed, developed, and maintained RESTful APIs for seamless data interaction, contributing to a 20% increase in overall system efficiency.

Software Analyst (Apprentice)

Feb 2023 - Mar 2023

Atlas Analytics, Singapore (Remote)

• Successfully contributed to multiple data sourcing projects, and to building a B2B database, resulting in a 20% increase in lead acquisition efficiency.

• Engineered and managed web scraping scripts and tools, streamlining the data collection process, leading to a 40% reduction in manual efforts and improved data accuracy.

Portfolio

Personal Projects

Updation going on!

Contact

Contact Me

My Address

Kozhikode, Kerala, India

Social Profiles

Email Me

shaadclt@gmail.com

Call Me

+91 75598 73761

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