Hammad Zaki

I'm AI/ML Engineer

About

I am a highly driven individual who thrives on continuous learning and staying at the forefront of new technologies and methodologies. My passion for data science fuels my desire to constantly expand my skill set and take on new challenges. I enjoy solving complex problems and using data-driven insights to create meaningful solutions. With a commitment to growth, I seek opportunities to innovate, collaborate, and make a positive impact in every project I work on.

My vision is to continue pushing the boundaries of data science by integrating cutting-edge AI technologies like NLP and deep learning to solve complex, real-world problems. I aim to harness the power of data to drive strategic decisions and innovative automation. As I advance in my career, I’m focused on combining my technical skills with a passion for data-driven insights to lead impactful projects in AI and machine learning.

Birthday: 20 Nov 2000
Phone: +917762911961
City: Ranchi, Jharkhand

Age: 24
Degree: Master
Email: hammadzaki1947@gamil.com

Download CV

Skills

Here is a comprehensive overview of the skills I have cultivated and demonstrated through my work and studies:

Programming Languages

Python

NumPy

Pandas

Matplotlib

Seaborn

SQL

Machine Learning

LLM

Hugging Face

NLP

OpenCV

Time Series

Scikit-learn

PyTorch

Statistics

Databases

MySQL

MongoDB

Cassandra

ChromaDB

Tools & Technologies

Airflow

Spark

AWS

Databricks

SageMaker

Data Wrangler

Athena

vs code

jupyter

git

Resume

Data Engineer with 2+ years of experience in Python, SQL, and databases. Skilled in developing and implementing predictive models, automating data workflows, creating ETL pipelines, and improving data accuracy and efficiency. Proficient in advanced ML models, fine-tuning, analytics tools, and cloud platforms like AWS.

Education

Master of Science in Data Science (Online)

2023 - 2025

Symbiosis International University, Pune, Maharashtra

I am currently pursuing an M.Sc in Data Science online, maintaining a CGPA of 8.2. This program is enhancing my expertise in data analysis, statistical methods, and machine learning. It is equipping me with advanced skills necessary for solving complex data problems and driving insights in data science and analytics.

Bachelor of Science in Physics

2017 - 2020

Vinoba Bhave University, Hazaribag, Jharkhand

I earned a CGPA of 7.47 in my undergraduate studies at Vinoba Bhave University, where I majored in Physics and minored in Mathematics. My education provided a strong foundation in both fundamental physics principles and mathematical modeling, including calculus, linear algebra, and differential equations.

Professional Experience

Data Engineer

2022 - Present

bitsCrunch, Remote

Fine-tuned LLM for tweet sentiment analysis for internal use and a collection-wise analysis achieving 94.7% accuracy.
Created and automated a bot to scrape NFT-related tweets from over 100 hashtags, 1,000 users, and various keywords.
Engineered a daily ETL pipeline to fetch, process, and store 10k+ tweets daily in a database.
Employed Selenium automation on an SSH server to fetch and upload missing NFT images to the database, achieving a 100% availability rate for images displayed on our website.
Configured an Airflow DAG to run every 5 minutes to monitor NFT prices of different blockchains.
Optimized data pipelines in Azure DataBricks and PySpark, reducing data cleaning time by 25% and enhancing data quality by 15%.
Designed charts and dashboards in Apache Superset, enhancing user experience and analysis efficiency by 30%.
Detected patterns in the NFT market, and identified 35% of fraudulent transactions.

Projects

Explore the highlights of my work through these innovative and impactful projects that showcase my expertise and creativity in Artificial Intelligence and Data Science.

SmartChat-AI

SmartChat-AI is a web app for analyzing and visualizing datasets using AI through natural language commands. It integrates tools like LangChain and Streamlit for real-time insights and data interaction.

LLM LangChain Ollama Streamlit

NLP with Hugging Face

This project is a comprehensive deep dive into Natural Language Processing (NLP) using Hugging Face's Transformer models. It covers various NLP tasks such as emotion prediction, text summarization, sentiment analysis, and fine-tuning, all demonstrated through practical Jupyter notebooks.

Hugging Face Fine-Tuning Transformers PyTorch

NLP-Specialization

Completed the Natural Language Processing Specialization from DeepLearning.AI, gained practical experience with sentiment analysis, word embeddings, and attention models. Worked on projects like Twitter sentiment analysis, neural translation, and chatbots, using RNNs, LSTMs, and attention mechanisms for real-world applications.

Sequence Models Probabilistic Models Language Modeling Attention Models

Crypto Price Prediction

This project uses the fbprophet model for time series analysis and cryptocurrency price prediction, along with exploratory data analysis. A web app allows real-time price predictions from uploaded historical data.

Time Series Analysis fbprophet Forecasting Data Visualization

Flight Price Prediction

Flight Price Prediction Model predicts flight prices using machine learning. It covers data cleaning, EDA, model building, and deployment, with a Streamlit app for user data uploads and price prediction.

Streamlit Random Forest XGBoost

Kidney Disease Prediction

The Kidney Disease Prediction project uses machine learning for early CKD detection, covering data wrangling, EDA, feature engineering, and model building with Python and Scikit-learn.

Data wrangling EDA SQL

Hotel Booking Prediction

The Hotel Booking Prediction project uses machine learning for forecasting. It involves data wrangling, EDA, feature encoding, and model evaluation, with an ML model predicting booking outcomes.

classification Decision Tree Scikit-learn

SpaceX Project

This project predicts the successful landing of the Falcon 9 rocket's first stage to estimate cost savings. It involves data collection, EDA, and machine learning, with results visualized through a Dash web app.

Web Scraping, Dash API Predictive Modeling