I'm a Data Scientist and Machine Learning Engineer. My core skills lie in applying advanced machine learning, deep learning, and data mining techniques to solve complex problems in various domains. Whether it's analyzing large-scale data or developing predictive models, I'm passionate about leveraging cutting-edge technologies to extract valuable insights from data.

In addition to my technical expertise, I have a strong business acumen that enables me to translate insights into actionable recommendations. I thrive in collaborative environments and enjoy working with cross-functional teams to deliver impactful solutions.

Core Skills & Qualifications:

• Machine Learning/NLP: Advanced skills in machine learning (Supervised & Un-supervised ML) and natural language processing (NLP) libraries including LLM, NLTK, SpaCy, BERT, T5, TF-IDF Vectorizer, wordninja and sentence_transformers.
• Primary Languages: Proficient in SQL, Spark (via Databricks) and Python, regularly using libraries such as Pandas, NumPy, Scikit-learn, TensorFlow 2.0, Keras, Requests, json, Plotly, seaborn, RegEX. Experience in Bash and curl for API interactions.
• Web Servers: Hands-on experience deploying end-to-end web applications using NGINX and Caddy.
• Data Platforms: Extensive knowledge in managing large datasets using Databricks, Snowflake, and DEEP Palantir.
• Data Visualization: Skilled in creating impactful visualizations using Tableau, Matplotlib, Seaborn, Streamlit, and Plotly. Certified in Tableau for Data Science and Data Analysis.
• Business Intelligence Tools: Experienced with AWS SageMaker, AWS EC2, Streamlit, Jupyter/Anaconda, GitHub/Git, Process Mining (Azure Process Advisor & Minit), Toad Datapoint and MS Power BI/Excel/PowerPoint.
• Communication Skills: Excellent verbal and written communication abilities for both technical and non-technical audiences.
• Analytical Skills: Passionate about working with big data, translating insights into business recommendations, and solving complex problems.
• Organization Skills: Detail-oriented with strong organizational capabilities.

👇If you're looking for a skilled and experienced data scientist who can apply advanced machine learning, deep learning, and data mining techniques to help your organization succeed, please don't hesitate to connect with me👇

☎ +1(925)487-2113

Menara App

Repository Name	Summary
AI-Power Heart Disease Risk Assessment App	It's a tool developed to empower individuals with personalized insights into their cardiovascular health
Menara App	Build a Web App called Menara to Predict, Forecast House Prices and search GreatSchools in California - Bay Area
Maxella App	Movies Recommendations Engine (Hybrid) using TensorFlow Recommender (TFRS) and MovieLens 1 Million Dataset
Capstone Project one: Big Mountain Resort Tickets Model	To come up with a pricing model for ski resort tickets.
Reducing Traffic Mortality in the USA using K-means Clustering Powered by Tableau	To reduce Traffic Mortality in the USA using K-means Clustering Powered by Tableau
Advanced Time Series Sales Forecasting Using ARIMA & SARIMA Models	To use the latest machine learning modelling techniques more specifically ARIMA and SARIMA models to make a probable reconstruction of the sales record of the manufacturer - predicting the future, from the perspective of the past - to contribute to a full report on US public health in relation to major cigarette companies.
Customer Segmentation Using Machine Learning K-Means Clustering Powered by Tableau	To optimize wholesale Wine business using Clustering with K-means powered by Tableau
Classify Song Genres from Audio Data Using Different Binary Classifiers	To classify songs as being either 'Hip-Hop' or 'Rock' - all without listening to a single one ourselves using multiple binary Classifiers.
Predicting Credit Card Approval Using Binary Classifiers	To build multiple binary classifiers that can predict if an individual's application for a credit card will be accepted.
Predicting COVID-19 Patients Status Using Random Forests Multi-Class Classifier	Predicting the status of "COVID-19" patients using Random Forests
Tree-Based Binary Classifier - Specialty Coffee	To help RR Diner Coffee using data science and machine learning to systematically make decisions about which coffee farmers they should strike deals with.
Google vs Apple Store (Hypothesis_Testing)	To find out whether Google Play apps have higher reviews on average than Apple Store apps (or vice versa)?
SQL Data Science Projects	Many projects applying Data Science using SQL.
A/B Testing cookie CATS Game	To analyze an AB-test where we moved the first gate in Cookie Cats from level 30 to level 40. In particular, we will look at the impact on player retention.
Analyzing TV Super Bowl Data	To Analyze Super Bowl Half Time Show (e.g., find out how some of the elements of this show interact with each other).
Frequentist Inference (HypothesisTesting)	Hypothesis testing: forming a hypothesis and framing the null and alternative hypotheses.
Regression Analysis Red Wine Quality	To use exploratory data analysis (EDA) and regression to predict alcohol levels in wine with a model that's as accurate as possible.
Regression Disney Movies and Box Office Success	To perform hypothesis testing to see what aspects of a movie contribute to its success.
Gender Classification Using Logistic Regression	Predict the person gender based on their weight and height using Logistic regression model.
API: XML & JSON to Pandas	Using Python requests package to send HTTP requests to GreatSchools API (XML to Pandas) and Quandl API (JSON to Pandas).
London boroughs Housing Prices	Which boroughs of London have seen the greatest increase in housing prices, on average, over the last two decades?
Python Data Science Projects	Many projects applying Data Science using Python.