Quick 1:1 chat

Struggling to navigate the world of data analytics or contemplating a master's journey as an international student in the United States?

Let’s chat! I'm Amrapali Samanta, with a professional background in both Data Analysis and Quality Assurance, currently doing my Masters in Business Analytics. I am open to discussing careers in Data, jobs opportunities, collaborating with Data Projects, and connecting with Data Professionals who can guide me through my journey to excel in the field of Data Science and AI.

Ask me for suggestions about doing Masters in United States and my professional background in Data and Analytics.

During our quick 1:1 chat, we can discuss:

• In-depth knowledge from my experiences as a Data Analyst and Quality Assurance professional
• Firsthand perspective on pursuing an MS in Business Analytics as an international student
• Valuable tips and strategies on navigating the complexities of data science, AI, and advanced analytics
• Actionable advice on career transitions and skill enhancement in the field of data science and AI

About me:

• Pursuing an MS in Business Analytics with hands-on expertise in data analysis, trend identification, and strategic decision support
• Proficient in advanced tools and cutting-edge machine learning techniques, including Deep Learning networks and Generative AI
• A blend of creativity and analytical thinking, perfectly aligning with business needs and values
• A continuous learner, always eager to delve into new and emerging technologies

Let's unlock the power of data together in an engaging and insightful discussion. Whether you're looking to elevate your data science skills, gain insights into machine learning, or plan your academic journey, I'm here to guide you every step of the way.

Skills:

Programming Languages: SQL(Advanced), Python(Numpy, Pandas, Scikit-Learn, PyTorch, Matplotlib, Seaborn), R, SAS(Basic)

Databases: MS SQL, Oracle, Teradata, PostgreSQL, MySQL

Tools: Excel, Power BI, Tableau, Git, VSCode, JIRA, Jupyter, Informatica PowerCenter, AWS

Data Science & Analytics Technologies: A/B testing, ETL, Hadoop, Data pipeline (ingestion, cleansing, wrangling, visualization, modeling, interpretation), Statistics, Time series, Experimental design, Hypothesis testing

Leadership: Technical Documentation, Project Planning and Scheduling (JIRA), Resource Allocation, Agile methodology, Cross-functional team leadership, Quality Assurance, Stakeholder communication

Join me for a quick chat and let’s explore the exciting realm of data science and analytics together!