Jul 2023 – Jul 2023 · 0 mo · New Delhi, Delhi, India · Hybrid

• As a Business Analyst Intern, I had the opportunity to apply my skills in data analysis, Python, R, Power BI, Excel, statistics, and market research in a professional setting. During this internship, I collaborated with cross-functional teams to gather and analyze data, create data visualizations, and develop reports.
• Utilizing my expertise in Python and R, I performed data analysis, leveraging various statistical techniques to derive meaningful insights. I utilized Excel for data manipulation and modeling, ensuring accurate and reliable results. Additionally, I employed Power BI to create interactive dashboards and visualizations, enhancing data presentation and understanding.
• My knowledge of market research methodologies enabled me to contribute valuable insights, supporting strategic decision-making within the organization. I conducted comprehensive research to gather industry insights and identify market trends.
• Throughout the internship, I consistently delivered high-quality results, effectively communicating complex findings to stakeholders. I actively contributed to data-driven initiatives, assisting in making informed decisions and driving organizational growth.
• This experience provided me with invaluable hands-on exposure to real-world business analytics scenarios, allowing me to further develop my skills and understanding of data-driven decision-making.

May 2023 – Jul 2023 · 2 mos · Remote

• Implemented an XG Boost Model to predict sales, streamline supply chain, and enhance inventory planning, and achieved 93% R-squared rate, in collaboration with 4 team members.
• Designed and developed a model using RNN and CNN to forecast annual sales by incorporating external factors with 6% error for June 2023.
• Created dashboards with Tableau recognized a decrease in sales of kids' products by 13%, signaling a market shift towards adult products.
• Recognized growth opportunities by analyzing sales data, comprising of 1.3 million transactions, via advanced SQL queries and hypothesis testing methods (t-tests and ANOVA).

Feb 2023 – Apr 2023 · 2 mos · Remote

• As a highly motivated and detail-oriented Financial Analyst, I am passionate about leveraging data-driven insights to make informed credit risk decisions. With a solid foundation in Power BI, Excel, and R Language, I possess a keen ability to analyze complex financial data and identify key risk factors. My academic background in finance, coupled with hands-on experience during internships, has honed my analytical skills and equipped me with a strategic mindset.
• I am eager to apply my knowledge and drive for excellence in a dynamic internship role, where I can contribute effectively to the success of your esteemed organization. As a quick learner and a team player, I am committed to continuous improvement and staying updated with industry trends and best practices. Let's connect and explore how I can add value to your credit risk management team!

Dec 2022 – Jan 2023 · 1 mo · Remote

• 📈 Business Analyst | Specializing in RFM Analysis for Customer Segmentation and Targeted Marketing | Proficient in Power BI, SQL, Python, and Excel 📈
• As an ambitious and analytical Business Analyst, my primary focus is on optimizing business strategies through RFM (Recency, Frequency, Monetary) analysis to segment customers effectively. By harnessing the power of Power BI, SQL, Python, and Excel, I can translate complex data into actionable insights that drive decision-making and foster revenue growth.
• During my academic journey, I developed a passion for data-driven marketing and honed my skills in statistical modeling and programming languages like Python. Through internships, I gained hands-on experience in extracting and manipulating data using SQL and Excel, enabling me to frame a robust RFM model for customer segmentation. I am eager to contribute my fresh perspectives and enthusiasm to make a meaningful impact on your company's growth.
• Let's collaborate and unlock hidden opportunities, devising tailored marketing strategies that lead to enhanced customer engagement and better deals for the company.