At Tungston Labs, a leading marketing services firm. In my role as a Junior Developer and Client Manager, I'm dedicated to developing new ideas and building great relationships with our clients. My key responsibilities include:Web Development: Crafting responsive, user-friendly websites that enhance online presence and engagement. Utilizing a blend of technologies including HTML, CSS, JavaScript, WordPress ,etc. I ensure each project aligns with the latest web standards and client expectations.Client Relationship Management: Acting as the primary point of contact for clients, I ensure their needs and expectations are not just met but exceeded. By understanding their business goals, I help our services to align with their objectives, thereby fostering long-term partnerships.Project Coordination: Collaboratively working with cross-functional teams to manage projects from conception to deployment. This involves careful planning, scheduling, and monitoring to ensure projects are delivered on time and within budget.Continuous Learning: In a field that's ever-evolving, I am committed to staying ahead of industry trends and continuously enhancing my skills. This dedication not only benefits my personal growth but also contributes to the innovative edge of our company.

Data Collection, Cleaning, and Preprocessing: Assist in collecting, cleaning, and preprocessing raw data to prepare high-quality datasets for analysis, ensuring data accuracy and consistency.Exploratory Data Analysis (EDA): Perform EDA techniques to gain valuable insights from data. Utilize statistical methods and visualization tools to identify patterns, trends, anomalies etc, providing a foundation for further analysis.Machine Learning Model Development: Build and train machine learning models for predictive analytics. Apply algorithms and techniques to develop models that support data-driven decision-making processes and enhance business outcomes.Collaboration and Problem Solving: Collaborate with senior data scientists and cross-functional teams to identify business problems. Contribute to the development of data-driven solutions by leveraging analytical skills and domain expertise.Data Visualization and Reporting: Develop and maintain data visualization dashboards and reports to communicate insights effectively. Utilize different tools in Python to create visually compelling representations of data patterns and trends.Continuous Learning: Stay up-to-date with industry trends and best practices in data science.