Video meeting . 15 mins

Discovery Call

FREE
Video meeting . 30 mins
5

Resume review

FREE
Video meeting . 30 mins
5

Quick chat

FREE
Video meeting . 30 mins

Interview prep & tips

FREE
Video meeting . 30 mins
5

1:1 Mentorship

FREE
Priority DM . 2 days reply

Ask me anything

FREE

Ratings and feedback

5/5
5 ratings
5
Testimonials
5/5
Was really helpful to get insights about what I should focus and improve on and it was beneficial to have the session! Thank you
5/5
Raksha is supporting my professional development and guiding me in refining my resume for Amazon and other MAANG opportunities.

About me

Hi, I’m Raksha Shinde — a Data Analyst, Problem Solver, and Builder passionate about transforming data into intelligent, scalable solutions. Currently, I work at Amazon as a Business Analyst where I design and automate analytical systems using SQL, Python, and AWS services (S3, Glue, Redshift) to deliver accurate, actionable insights that drive global business impact. My work focuses on improving localization, translation quality, and operational efficiency across multilingual seller support platforms — enabling better decision-making and measurable improvements in performance and customer experience. Previously at Circle K, I led analytics for in-store promotions, designing and optimizing campaigns based on real-time customer purchasing behavior and live sales data. By integrating data-driven insights into promotional strategies, I helped tailor offerings to customer needs, improving engagement and driving measurable sales growth across multiple U.S. and Canadian business units. With a Master’s in Business Analytics from Arizona State University’s W. P. Carey School of Business . My expertise spans data pipelining, KPI design, process optimization, and stakeholder engagement — all grounded in a strong commitment to quality, clarity, and innovation. Outside of work, I’m a mentor and advocate for aspiring data professionals — especially international students navigating STEM careers in the U.S. I enjoy sharing insights on building analytics careers, designing efficient data systems, and fostering continuous learning in tech. 📫 Let’s connect if you’re building data-driven systems, optimizing processes through analytics, or simply passionate about leveraging technology for smarter, more impactful decision-making.