Lahar Saxena — Data Engineer
"The world is one big data problem."- Andrew McAfee With a diverse background in e-commerce and healthcare analytics, I bring a unique perspective on data-driven decision-making. My experience as an inventory analyst in the e-commerce sector has allowed me to develop expertise in supply chain management and inventory optimization, while my work as an analyst in healthcare analytics has given me a deep understanding of data analysis and healthcare operations. Throughout my career, I have consistently leveraged my strong Python and SQL skills to deliver value to my work, driving operational efficiency and optimizing business outcomes. I am committed to utilizing data to drive positive impact and am passionate about identifying opportunities for improvement and implementing effective data-driven solutions. With my strong analytical skills, proven track record, and passion for innovation, I am confident in my ability to utilize data to improve business outcomes and drive positive impact.
Stackforce AI infers this person is a data-driven professional with expertise in e-commerce and healthcare analytics.
Location: Bengaluru, Karnataka, India
Experience: 5 yrs 11 mos
Skills
- Analytical Skills
- Python (programming Language)
Career Highlights
- Expertise in e-commerce and healthcare analytics.
- Strong proficiency in Python and SQL for data-driven solutions.
- Proven track record in optimizing supply chain management.
Work Experience
Adobe
Data Engineer (2 yrs 5 mos)
Paytm
Sr. Business Analyst (5 mos)
udaan.com
Business Analyst (1 yr 2 mos)
Agiliad
Software Engineer (2 yrs)
Bharat Heavy Electricals Limited
Summer Trainee (1 mo)
Central Institute of Plastics Engineering & Technology (CIPET)
Summer Engineering Intern (1 mo)
Education
Artificial Intelligence at Centre for Development of Advanced Computing (C-DAC)
at Rajiv Gandhi Prodyogiki Vishwavidyalaya
Mathematics and Computer Science at Kendriya Vidyalaya