Available to hire
Analytical and detail-oriented Business Analyst with 3.5 years of experience in the e-commerce sector, specializing in managing large-scale product data across global accounts. I am a proactive professional who thrives in data-driven environments.
Proficient in SQL, SEO, and product feed management across platforms like Google Shopping, Facebook Ads and Bing Ads. I am eager to leverage strong analytical skills and technical expertise to generate actionable insights and support data-driven decision-making in a dynamic, growth-focused environment.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Language
English
Advanced
Hindi
Advanced
Panjabi, Punjabi
Advanced
Work Experience
Business Analyst at Cube27 IT Private Limited, Pune, India
February 1, 2022 - PresentOptimized and restructured product data to meet the feed specifications of various shopping engines and digital channels. Managed and enhanced millions of product data records within the e-commerce domain, collaborating with cross-functional teams to support key global accounts including Puma, Dell, Estée Lauder, Rakuten, Skechers, and DoorDash. Developed comprehensive documentation to support training initiatives, enabling employees to quickly adopt new systems and procedures. Actively contributed to team meetings, sharing insights, addressing challenges, and collaborating on effective solutions. Demonstrated excellent communication and project management skills, facilitating seamless collaboration among cross-functional teams. Set up feed exports to different channels including Google Shopping, Facebook, Bing Shopping, etc. Strong ability to manipulate large data sets for e-commerce platforms. Proficient in SQL-driven data operations and feed optimization.
Intern at Shilpa Publications
May 1, 2021 - August 26, 2025Published a research paper titled 'Effective Model for Asthma Patient Detection Based on Cloud Computing with Data Mining' in the International Journal for Research in Applied Science & Engineering Technology in April 2021. The paper explores different aspects of asthma through data mining technology for asthma prediction, applying various techniques to improve system performance and precision.
Intern at Shreyanshi Consultancy Private Limited
June 1, 2017 - August 26, 2025Worked as an intern to gain knowledge about big data. Used HDFS to store structured/unstructured data and implemented basic MapReduce logic for aggregation. Understood HDFS internals such as NameNode, DataNode, block size, replication factor, and fault tolerance mechanisms.
Education
Master of Technology at Lovely Professional University, Punjab
January 1, 2019 - January 1, 2021Bachelor of Technology at Lovely Professional University, Punjab
January 1, 2015 - January 1, 2019Bachelor of Technology at Lovely Professional University, Punjab
January 1, 2015 - January 1, 2019Qualifications
Certificate of Appreciation – Notable Performance, Cube27 IT Private Limited
January 11, 2030 - August 26, 2025Machine Learning with Python – Cognitive Class (IBM)
January 11, 2030 - August 26, 2025Big Data – Cognitive Class (IBM)
January 11, 2030 - August 26, 2025L3 Training Program in Data Science – IIT Ropar
January 11, 2030 - August 26, 2025Database Administration Fundamentals – Microsoft
January 11, 2030 - August 26, 2025Data Visualization with Python – Cognitive Class (IBM)
January 11, 2030 - August 26, 2025Canada Specialist Accreditation – Canadian Tourism Commission
January 11, 2030 - August 26, 2025Certificate of Appreciation – Notable Performance, Cube27 IT Private Limited
January 11, 2030 - September 24, 2025Machine Learning with PyTorch – Cognitive Class (IBM)
January 11, 2030 - September 24, 2025Big Data – Cognitive Class (IBM)
January 11, 2030 - September 24, 2025L3 Training Program in Data Science – IIT Ropar
January 11, 2030 - September 24, 2025Data Visualization with Python – Cognitive Class (IBM)
January 11, 2030 - September 24, 2025Industry Experience
Retail, Software & Internet, Professional Services, Education, Media & Entertainment
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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