About
Highly analytical and detail-oriented graduate with robust skills in data collection, validation, and advanced data visualization, adept at transforming large datasets into actionable insights. Proven ability to develop predictive models, automate reporting, and optimize data-driven strategies using Python, SQL, and Excel, driving informed business decisions and enhancing operational efficiency. Eager to leverage expertise in machine learning, data modeling, and exploratory data analysis to contribute to innovative solutions in a dynamic data science environment.
Work
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Summary
Analyzed complex datasets and developed interactive dashboards to provide critical insights for strategic decision-making and enhanced system management.
Highlights
Developed and deployed interactive dashboards for comprehensive stock market analysis using Python and Plotly, enabling real-time trend identification.
Conducted in-depth analysis of Data Science job market salaries, roles, and experience levels, providing valuable insights for career benchmarking.
Utilized Pandas, Seaborn, and Matplotlib for robust data visualization and system management, enhancing data interpretation and operational oversight.
Implemented systematic reporting and metrics tracking processes to monitor key performance indicators and support data-driven decision-making.
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Summary
Engineered Python-based data preprocessing pipelines and developed machine learning models to optimize data readiness and predictive analytics capabilities.
Highlights
Developed Python-based data preprocessing pipelines and machine learning models using Scikit-learn, optimizing data readiness for analytical tasks.
Executed comprehensive Exploratory Data Analysis (EDA) and rigorous model evaluation techniques to ensure robust performance and reliability of predictive models.
Trained and optimized foundational regression and classification models, contributing to predictive analytics capabilities and supporting escalation management processes.
Languages
English
Skills
Programming Languages
Python, SQL.
Data Analysis & Visualization
Exploratory Data Analysis (EDA), Data Cleaning, Data Validation, Data Wrangling, Feature Engineering, Model Evaluation, Anomaly Detection, Dashboard Development, Data Visualization, Reporting, Metrics Tracking, Scenario Modeling, Excel (Pivot Tables, Power Query, VLOOKUP, Macros, Advanced Functions, Modeling), Power BI, Tableau.
Machine Learning
Regression, Classification, Gradient Descent, Neural Networks, Deep Learning, Predictive Analytics, Supervised Learning, Unsupervised Learning.
Natural Language Processing (NLP)
Text Preprocessing, Word Cloud Generation.
Image Processing
PCA, MNIST, Image Recognition.
Libraries & Frameworks
NumPy, Pandas, Matplotlib, Seaborn, SciPy, SymPy, scikit-learn, Statsmodels, Plotly.
Tools & IDEs
Jupyter Notebook, Git.
Soft Skills
Adaptability, Communication, Time Management, Interpersonal Skills, Problem-solving, Analytical Skills, Attention to Detail, Customer Relationship Management, Confidentiality and Data Integrity, Presentation Skills, Professional Etiquette, Patience and Empathy.