Python, R, Sql, MS Excel, Power BI, Tableau & Statistics
Hamdaan Uddin Syed
Jersey City,NJ
Summary
Skilled in data analysis, Python, R, and SQL. Experienced in extracting insights from diverse datasets. Strong problem-solving abilities and clear communicator. Dedicated to applying data-driven strategies to tackle challenges in the field of data science.
Overview
1
1
year of professional experience
Work History
Machine Learning Intern
Power Apex
08.2023 - 01.2024
- Model Development: Learned to develop machine learning models using various algorithms.
Explored data preprocessing, feature engineering, and model evaluation techniques.
- Data Analysis: Acquired skills in analyzing large datasets and extracting insights.
Utilized visualization tools to present findings effectively.
- Communication and Collaboration: Worked collaboratively in a team, contributing to project discussions. Communicated complex technical concepts to diverse audiences.
Data Analyst
Power Apex
06.2023 - 12.2023
- Data Visualization: Proficient in creating visually appealing charts and graphs to present insights.
Experience with tools like Tableau and matplotlib for data visualization.
- Data Cleaning: Skilled in cleaning and preprocessing raw data for analysis.
Familiar with techniques for handling missing values and outliers.
- Statistical Analysis: Experienced in applying statistical techniques to analyze data trends.
Ability to derive actionable insights and make data-driven recommendations.
Education
Master of Science - Data Science
Monroe College
The Bronx, NY12.2024
Bachelor of Science - Computer Science
SRT University
06.2023
Skills
- Proficiency in R or Python for data analysis and modeling
- Familiarity with SQL, JavaScript, XML, JSON, and HTML for data manipulation and web-based data applications
- Ability to use VBA for spreadsheet analysis and automation
- Understanding of statistical programs such as SAS, MATLAB for statistical analysis and modeling
- Strong analytical and problem-solving abilities to interpret complex data and derive actionable insights
- Excellent teamwork and communication skills to collaborate effectively with colleagues and stakeholders
Software
Accomplishments
- Predictive Maintenance for Equipment Failure: Developed a predictive model using historical data to anticipate equipment failures in industrial settings. Employed machine learning techniques such as Random Forests and LSTM networks to predict failures and recommended proactive maintenance strategies based on the model's insights.
- Customer Segmentation and Market Analysis: Conducted customer segmentation and market analysis for a retail/e-commerce company. Utilized transaction data and demographic information to segment customers using clustering algorithms like K-means. Provided actionable insights for targeted marketing campaigns and product recommendations based on market trends and customer behavior."
Timeline
Machine Learning Intern
Power Apex
08.2023 - 01.2024
Data Analyst
Power Apex
06.2023 - 12.2023
Master of Science - Data Science
Monroe College
Bachelor of Science - Computer Science
SRT University
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