As a highly motivated and detail-oriented BTech graduate with a strong foundation in data analysis, I am eager to launch my career as a Data Analyst. With a solid background in Python, SQL, Power BI, and statistical analysis, I have honed my skills through various projects involving exploratory data analysis, visualization, and deriving actionable insights. My experience includes creating interactive dashboards, analyzing sales trends, and interpreting complex datasets to inform decision-making. With a passion for data-driven problem-solving and a commitment to continuous learning, I am excited to contribute my analytical skills to help organizations unlock the potential of their data.
As a BTech graduate with a strong foundation in data analysis, I am eager to start my career as a Data Analyst. I have hands-on experience in Python, SQL, and Power BI, creating interactive dashboards and deriving insights from complex datasets.
During my two-month internship in web development at TechBeam, I gained valuable hands-on experience in front-end technologies, including HTML, CSS, JavaScript, ReactJS, and Bootstrap. I collaborated with a team of developers to design and build a responsive website, contributing to both the structure and visual aspects of the project. This experience not only enhanced my technical skills but also taught me the importance of teamwork, communication, and attention to detail in delivering a successful web development project.
During my one-month internship at Pantech Solutions in Tamil Nadu, I gained practical experience in developing machine learning models, including face detection, emotion recognition, and object detection. I also deepened my understanding of Convolutional Neural Networks (CNNs) and their applications in image processing tasks. This internship provided me with a solid foundation in building and deploying AI models, further fueling my interest in the field of machine learning and its real-world applications.
Percentage: 78.2% (First class distinction)
Percentage: 94.4% (First class distinction)
Percentage: 92% (First class distinction)
Below are the sample Data Analytics projects on SQL, Python, Power BI & Excel.
Insights were provided on funded and received amounts, average interest rates, and the Debt-to-Income (DTI) ratio that helped identify trends and patterns in loan disbursement and repayment.
Performed exploratory data analysis (EDA) on Netflix data and analyzed its shows, including aspects like genre distribution, release trends, and viewer preferences.
Provided insights on pizzas by category, amount, profit, and sales trends based on date, day, and month that will help to understand customer preferences, optimize inventory, and improve sales strategies.
Analyzed the 2024 Lok Sabha election data using Python, providing insights on votes, candidates, and seats.
Performed a coffee sales analysis in Excel, highlighting how coffee priority category varies across different age groups, days, and hours of day.
Below are the details to reach out to me!
Uttarakhand, India