Situation professionnelle
Souhait professionnel
- 3013 - Conseil Financier
- 31 - Etudes / Conseil / Organisation / Stratégie
- TÉLÉCOMMUNICATIONS / INFORMATIQUE / HIGH TECH
- MÉDIA - CULTURE - DIVERTISSEMENT
Résumé
I'm a Business Intelligence Engineer at Amazon (Network Flow Technologies, LUX), where I collaborate with process engineers to drive data-informed decisions that optimize operations across European fulfilment centers. I have a Master's in Data Analytics & Artificial Intelligence at EDHEC Business School.
My passion lies in transforming complex data into strategic insights. From my academic foundation to hands-on industry experience, including the Capgemini Invent Master Project, I’ve focused on solving real-world business challenges using data, technology, and innovation.
Let’s connect—whether it’s to collaborate on projects, exchange ideas, or explore the intersection of data, technology, and business strategy. Together, we can create impact through smart, scalable, data-driven solutions.
Expériences professionnelles
Bi engineer @ eu nft
AMAZON
Depuis le 02 juin 2024
● Designed and managed an Airflow pipeline using AWS tools, enhancing business decision-making through real-time data visualization and analytics.
● Migrated a dashboard from Qlik sense to Quick sight by creating a Apache Pipeline for data transformation.
● Developed a gap analysis tool using a Spark script in AWS Glue, processing 20 GB of data daily to provide business visibility on differences between 5 million production and development routes across Europe.
Business consultant
CAPGEMINI INVENT
De Septembre 2023 à Mars 2024
● Conducting in-depth market research, to evaluate the potential of selling DataNow directly to customers.
● Performed financial analysis to assess the profitability of D2C sales for DataNow.
● Evaluated price positioning strategies and recommended profit-maximizing channels for the product.
● Identified and outlined the development requirements necessary to implement the recommended strategy effectively.
Data analyst
Stader Labs
De Décembre 2022 à Mars 2023
- Analysis of data from blockchain and related platforms and insights generation
- Data based market segmentation and decision support for launch and growth of
Stader on various blockchains
- Setting up token analysis framework, continuously refining the framework
- Setting up key management dashboard to give visibility to core KPIs of the company
- Managing 0-3 data analysts by effectively delegating tasks and ensuring quality of
work output
Data analyst
KPMG India
De Mai 2022 à Août 2022
• Developed algorithm to analyze daily collected primary data by enumerators for Project PRANA to understand the respondent and strategize more robust sampling techniques.
• Generated reports of incoming primary data of approximately 2200 attributes using Python and R for EDA
• Automated weekly reports by extracting crucial attributes to be presented for clarification to the client to ensure the generalization of the study across the whole region of Punjab.
• Created a script using Python for a data sanity check that assessed 1500+ respondents’ primary incoming data.
Project intern
Indifi
De Février 2022 à Avril 2022
• Optimized and deployed micro inhouse-service API for masking of Aadhaar and other documents for financial documentation of clients for complying with SEBI’s regulations.
• Collected data using AWS services like Boto, AWS recognition, AWS Sage maker, and OCR techniques from documents to optimize the API by upwards of 30%.
• Increased the efficiency of the source code to 80% using technologies and methods like Postman, Django, etc.
Team lead
CHRIST Consulting
De Juillet 2021 à Mai 2022
• Managed a team of 20 designers, catering to the needs of high-end clients like SEEKHO, BBRFI and Servhub Dubai.
• Coordinated and allocated the design deliverables requested by project heads to the members of the team, so that aesthetic designs and on-time work are accomplished.
• Developed and established performance sheet to be filled by each and every designer to have a track of each designer.
Coo
ProfitPenny
De Septembre 2020 à Juillet 2021
• Generated and developed leads through various marketing channels & personal network (family business network) to acquire new clients like Garg Sales Patiala.
• Negotiated price and service with customers and vendors to decrease expenses by managing bulk deals to get costs by almost 30% and increased profit margin as well as revenue by 10% month-on-month basis.
• Contributed to developing marketing strategy creation and advertising initiatives to better promote the facility to the public, which helped our client’s business grow 20-30 % month-month basis.
• Assisted screening of 30 business development executives to onboard and train 3 people.
Senior consultant
DataMantra
Depuis le 01 janvier 2020
Business development executive
Urmad Solutions
De Août 2019 à Mai 2020
Formation complémentaire
Bachelors of Business Administration (Honors)
Christ (Deemed to be University)
2020 à 2023
Parcours officiels
Langues
Hindî - Courant
Anglais - Langue maternelle
Français - Technique