Azhar Madani Syed
Houston,USA
Summary
Detail-focused Data Scientist with knowledge in data warehousing, process validation and business needs analysis. Proven to understand customer requirements and translate into actionable project plans. Dedicated and hard-working with passion for Big Data.
Overview
4
4
years of professional experience
Work History
Senior Data Science Analyst
Tiger Analytics
05.2022 - 08.2023
- Led data extraction efforts using Microsoft Azure and PySpark to obtain and prepare critical datasets efficiently
- Conducted in-depth data analysis, applying Pandas for data manipulation, and creating meaningful visualizations
- Leveraged Python's Group by functions, Seaborn, and Plotly for insightful data analysis and visualization
- Transformed and loaded clean data into Power BI, producing interactive data visualizations for actionable insights and present data analysis results to clients effectively
- Proficiently used SQL to extract and merge data from multiple tables in Microsoft Azure cloud for in-depth analysis
- Developed a Product Recommender for M&M's, implementing Random Forest Machine Learning and Neural Networks to suggest sales strategies thereby increasing the revenue by 40%.
Process Control Engineer (Data Analyst)
BALCO
07.2019 - 09.2021
- Monitored the temperature of the anode and bath (cathode) in the pots using EDA (Exploratory Data Analysis) for efficient Potline Operation and to prevent abnormal activities such as pot failures
- Proactively monitored and controlled impurities, particularly Iron and Silica, to prevent costly pot leaks and production disruptions
- Excel expert, conducting comprehensive data analysis, report generation, and ensuring aluminum purity through VBA, pivot tables, and advanced functions
- Employed Python for Data Analysis, utilizing Seaborn, Matplotlib, and Plotly, to make the necessary predictions to avoid abnormalities such as sudden increase of pot temperature, an increase of ALF3 content, etc.
Education
Master of Science in Engineering Data Science -
University of Houston
Houston, TX12.2024
PG Diploma in Data Science and Engineering -
Great Lakes Institute of Management
05.2022
Bachelors in Metallurgical Engineering -
JNTUH
05.2019
Skills
- Python
- R
- SQL
- Advanced Excel
- Power BI
- Tableau
- Machine Learning
- Exploratory Data Analysis (EDA)
- Statistical Analysis
- Deep Learning
- Neural Networks
Projects
Telecom Churn Prediction and Customer Retention
- Objective: Develop a predictive model to identify potential churners in a telecom customer base, enabling proactive retention strategies to reduce customer churn.
Key Contributions:
- Conducted in-depth exploratory data analysis (EDA) on telecom usage patterns, identifying key features influencing customer churn, such as call duration, data usage, and customer tenure.
- Built a machine learning model using algorithms like Logistic Regression and XGBoost to predict churn probability, achieving an accuracy of 88% and effectively categorizing potential churners.
- Implemented a targeted customer retention campaign based on model insights, leading to a 15% reduction in churn rates and a subsequent increase in customer satisfaction and loyalty.
Timeline
Senior Data Science Analyst
Tiger Analytics
05.2022 - 08.2023
Process Control Engineer (Data Analyst)
BALCO
07.2019 - 09.2021
Master of Science in Engineering Data Science -
University of Houston
PG Diploma in Data Science and Engineering -
Great Lakes Institute of Management
Bachelors in Metallurgical Engineering -
JNTUH