Jigar Patel Email & Phone Number

Dublin, County Dublin, Ireland

- Develop and maintain comprehensive KPI reports (monthly, quarterly, bi-annual) using Python and various dashboard tools such as Streamlit.- Implement machine learning models for classification of skin lesions, enhancing diagnostic accuracy and patient outcomes.- Design interactive dashboards and data visualizations to support decision-making processes across multiple hospital departments.- Utilize Python for data extraction, cleaning, and transformation to ensure high-quality data for analysis.- Collaborate with cross-functional teams to understand their data needs and provide tailored analytical solutions.- Conduct ad-hoc analyses based on departmental requests, delivering actionable insights to improve operational efficiency.- Leverage advanced statistical techniques and predictive analytics to identify trends and inform strategic initiatives.- Ensure data integrity and security while managing large datasets from various sources.- Present complex data findings in a clear and concise manner to non-technical audiences, facilitating informed decision-making.- Drive continuous improvement by integrating feedback and staying updated with the latest advancements in data analytics and machine learning technologies.

Ireland

● Developed machine learning models to predict customer purchasing behaviour, achieving more than 80% accuracy rate, and increasing targeted marketing effectiveness.● Produced weekly and monthly reports, summarizing key performance indicators (KPIs) and sales data, facilitating timely management decisions.● Implemented pricing optimization models, resulting in a 15% increase in revenue by optimizing product pricing strategies.● Successfully processed and cleaned large datasets, reducing data errors by 10% and improving data quality.● Generated actionable insights from market data analysis, contributing to a 10% improvement in supply chain efficiency.● Created interactive data visualizations and dashboards using libraries like Matplotlib, Seaborn, and Tableau to communicate key insights to both technical and non-technical stakeholders.Developed predictive models to forecast demand for various product lines, resulting in a 12% reduction in overstocked items and a 10% increase in revenue.

Ireland

• As a member of a 21-person Natural Language Processing team, leveraged data analysis and machine learning techniques in Python to identify customer buying signals, enabling businesses to optimise sales and payments processes and increase profits by up to 7% from last year with an estimated revenue up to $7.7M.• Developed an ETL data pipeline for extracting the data from XML/JSON files, transforming the data according to the business rules and gathering data from different external sources.• Developed RFM, Classifier models to estimate customer churn risk, resulting in a 10% reduction in churn rate.• Created dashboards using Tableau to identify trends, predict outcomes, and track Key Performance indicators (KPIs) and presented the business insights to management.• Worked on CRM (Customer Relationship Management) Software to update the status of leads, orders generated, and orders dispatched.

Mumbai, Maharashtra, India

● Assigned to teach and tutor concepts of Physics using Python, including orbital simulation, model building, K-means clustering and, statistical methods for regression, and large unstructured Data Processing using Scitkit-Learn, SciPy, and TensorFlow in Python.● Conducted exploratory data analysis and identified trends: Performed in-depth exploratory data analysis, generated, and tested working hypotheses, leading to the discovery of key trends and relationships. These insights contributed to a 23% improvement in strategic decision-making.● Collaborated with the team to design and implement an online problem-solving platform for writing professional-level code and perform data manipulation utilising Google Cloud Computing and GitHub.● Testing and creating efficient algorithms using OOP (Object Oriented Programming) and data structures such as Quadtree and designing the curriculum and setting clear learning objectives, including the development of the syllabus and 20 main objectives for the computer science course.● Provided expertise on mathematical concepts and advanced analytics: Demonstrated deep knowledge of mathematical concepts and inspired the adoption of advanced analytics methodologies within the team, resulting in a 50% increase in the application of sophisticated data science techniques.● Utilised data visualisation tools in Python and ggplot in R to effectively present and analyse various types of data, including images, to facilitate understanding of different physical laws and statistical methods in a fast-paced environment.● Leveraged GitHub to facilitate collaboration among team members and to share and create dynamic environment for learning.● Led training sessions and provided support and exercises to 90 students to build knowledge of Python, including the use of libraries such as Matplotlib, Pandas, and NumPy.● Currently an active member of the Indian Association of Physics Teachers since 2020.

Mumbai, Maharashtra, India

Performed Analysis with time-domain spectroscopy. Used Fourier transform to analyze frequency variation when subjected to different crystals in the terahertz range. This was achieved using Python and Mathematica.

Master Of Science - Ms, Data Science And Analytics, 1.1 (1St Class Honors)

Bachelor'S Of Science, Physics, A

Activities and Societies: Organised Physics Quiz competition along with other physics related competitions