Gaurav Sharma

I am a dedicated and results-oriented professional with a Master's degree in Computer Applications (MCA) and a growing passion for data analytics, business intelligence, and machine learning. With a strong academic foundation in computer science and a continuous learning mindset, I have developed practical skills in Power BI, Excel, SQL, and Python through hands-on projects and real-world data analysis scenarios.

My journey into data analytics began with projects focused on HR and Sales analytics, where I used Power BI to design dashboards that uncovered patterns and insights in workforce trends and business performance. These experiences have not only sharpened my technical skills but also taught me how to turn raw data into meaningful, visual stories that help in decision-making.

Currently, I am upskilling in the field of machine learning, where I’m working on projects involving predictive modeling, data preprocessing, and algorithm development using Python libraries like scikit-learn and pandas. This course has helped me build a strong understanding of classification, regression, and basic model evaluation techniques.

I am particularly skilled in transforming and cleaning data, writing SQL queries, creating DAX measures, and building interactive dashboards that are both insightful and user-friendly. Whether it’s tracking employee attrition, visualizing sales growth, or creating automated Excel reports, I take pride in delivering solutions that add value.

My approach to work is collaborative and growth-focused. I enjoy solving problems, learning new tools, and adapting to different work environments. As someone who is just beginning my professional journey, I bring a fresh perspective, a strong work ethic, and a hunger to learn from every opportunity.

Based in India (IST), I am available for remote work and flexible to align my working hours with US Eastern or Pacific Time Zones as required. I am eager to contribute to a dynamic team where I can apply my skills, learn from experienced professionals, and grow into a well-rounded data professional.

If you're looking for someone who is enthusiastic about data, committed to learning, and ready to deliver value — I would be excited to be part of your team.