PyCharm
Dynamic and analytical data science postgraduate seeking an oppurtunity, with a passion for leveraging data-driven insights to solve complex business problems. Equipped with a strong foundation in statistical analysis, machine learning, and programming. With a solid academic background and hands-on experience in data analysis and predictive modeling. Proficient in Python, R, and SQL, I bring a strong analytical mindset and the ability to derive actionable insights from large datasets. An enthusiastic learner with a passion for continuous improvements in Data Science field.
Recognize by customers and management for customer service excellence, reliable/responsible attitude, and working effectively.
▶ Customer Service Skills : The exceptional ability to engage with customers & assist them with merchandise selections; and interact with vendors to ensure smooth transactions in a friendly & positive manner.
• Handle customer queries, complaints and issues in a specific professional manner and resolve them by being patient and cooperating with customers. Finally, make sure that the customer is satisfied with a solution.
▶ Leadership Skills : Provides operations management and customer service–oversee store operations in absence of the duty manager, schedule, supervise and train staff, and stock/restock merchandise displays.
Database Management
PyCharm
R-Studio
Jupyter Notebook
Django
My SQL
Power BI
Q-GIS
Geoda
Machine Learning-Advance Decision Making : During this project, my objective was to develop a predictive model to identify potential customers who were more likely to subscribe to a term deposit. Next, I performed data preprocessing, feature engineering, and model selection to extract meaningful insights from the dataset. I employed cross-validation and hyperparameter tuning techniques to fine-tune the models and achieve optimal performance. The predictive model I developed demonstrated a significant improvement in identifying potential customers for term deposit subscriptions. The project not only showcased my technical skills in machine learning but also highlighted my ability to solve complex business problems and deliver actionable insights. https://github.com/DevisPatel/ML-Advanced-Decision-Making
Quantitative Data Analysis : In my quantitative data analysis report, I delved into the factors that exhibit a relationship with Covid-19 across all Local Authorities of England. I conducted a series of statistical tests and regression analyses to quantify the relationships, uncover patterns, trends, and potential outliers. These analyses considered factors such as population density, socioeconomic indicators, environmental conditions and more by identifying statistically significant associations into the distribution of Covid-19 cases and associated factors across Local Authorities/Districts. https://github.com/DevisPatel/QDA-Covid-19