Feb 2024 – Apr 2024 · 2 mos · Bengaluru, Karnataka, India · Remote

• During my Data Analyst Internship at Afame Technologies, I honed my skills in Python, SQL, Power BI, and Tableau while extracting, transforming, and analyzing datasets exceeding 5 million rows. Utilizing data cleaning and wrangling techniques, I ensured data integrity, enabling comprehensive exploration and analysis. Through regression analysis and hypothesis testing, I uncovered insights that optimized marketing campaigns, increasing customer acquisition by 20%, and streamlined supply chain operations, reducing operational costs by 15%.
• Collaborating with cross-functional teams, I communicated complex findings through visually compelling dashboards and reports. My attention to detail and continuous learning mindset allowed me to enhance existing data models and automate repetitive processes, improving efficiency. I demonstrated proficiency in data mining, ETL, database management (SQL, NoSQL), Hadoop, Git, AWS, Azure, API integration, web scraping, and NLP.
• Throughout the internship, I leveraged my expertise in data analysis tools and techniques to tackle complex challenges and deliver data-driven solutions. My contributions included optimizing marketing campaigns, resulting in a 20% increase in customer acquisition, and streamlining supply chain operations, leading to a 15% reduction in operational costs. I effectively communicated insights through visually appealing dashboards and reports, collaborating seamlessly with cross-functional teams.
• This hands-on experience reinforced my passion for data analysis and commitment to delivering impactful solutions that drive business growth and innovation. I demonstrated a strong foundation in data mining, ETL, database management, big data technologies, version control, cloud computing, API integration, web scraping, and NLP, positioning myself as a valuable asset in data analysis roles.

Mar 2023 – Jan 2024 · 10 mos · India · Remote

• Assist in collecting, cleaning, and organizing large datasets for analysis.
• Perform data exploration and apply statistical techniques to identify trends, patterns, and correlations.
• Support data analysts in developing and maintaining data models and databases.
• Collaborate with cross-functional teams to understand business objectives and translate them into data analysis projects.
• Create visually appealing and insightful data visualizations and dashboards using tools such as Tableau or Power BI.
• Assist in developing and automating data analysis workflows and processes.
• Conduct quality assurance checks to ensure data accuracy and integrity.
• Assist in preparing reports and presentations to communicate findings to stakeholders.
• Stay updated with industry trends and advancements in data analysis techniques and tools.