Business Analyst with experience in the retail sector. Demonstrated expertise in developing products and tools using Python, with a strong focus on data-driven decision-making. A published author in IEEE. Proficient in leveraging SQL, Alteryx, and Tableau, transforming complex data into actionable insights. Adept at collaborating with cross-functional teams to deliver solutions that drive business growth and efficiency.
- Retail Spotlight Award - Quarter 1, 2024, Bain & Company
- Recognized for outstanding performance and valuable contribution to the Retail CoE (Centre of Excellence).
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Bain & Company | Analyst
Jan 2024 – present
Gurugram, India- Reprogrammed client-side Alteryx Designer workflows into optimized Python scripts, incorporating ETL processes to reduce execution time by 27% and significantly enhance data processing efficiency and workflow automation.
- Optimized SQL scripts in AWS Redshift, boosting data processing by 17%, and managed 500GB+ client data storage in Amazon S3 buckets.
- Hosted a session in the Retail CoE, which comprises around 100 individuals, showcasing innovative business use cases solved with Python, including those integrated with AI, highlighting the practical applications achieved.
- Utilized Dask framework for parallel computing & distributed data processing, effectively handling Big Data.
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Bain & Company | Analyst Intern
Jan 2023 – Dec 2023
Gurugram, India- Developed dynamic web applications using the Dash framework to overcome specific functional & visualization limitations inherent in Tableau.
- Managed SQL Server databases for over 7 projects, writing complex queries, improving scalability.
- Built a custom Python tool to streamline client-end raw data uploads, featuring a user-friendly menu for data manipulation directly on the server, improving efficiency and client data processing capabilities.
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Highradius Technologies Pvt Ltd | Product Engineering Intern
Jan 2022 – Apr 2022
Bhubaneswar, India- Created an advanced FinTech web application for managing B2B invoices, integrating AI capabilities.
- Improved model accuracy by meticulously cleaning and refining raw datasets using Python, enhancing the performance of the machine learning pipeline.
- Boosted predictive accuracy for customer payment dates by 12%, achieving a robust regression model score of 94%.
- Languages & Tools:
Python,SQL,C/C++,HTML,CSS,Git,OpenAI - Python Libraries:
Pandas,Dash,Dask,NLTK,TableauHyperAPI,NumPy - Data Visualization:
Plotly,Matplotlib,Seaborn,ggplot - Tech Stack:
Visual Studio Code,SSMS,DBeaver,Alteryx,Tableau,Advanced Excel - AWS Services:
Amazon Redshift,Amazon S3 Buckets,Amazon EC2
Feel free to connect with me on LinkedIn to discuss analytics, data, or anything tech-related.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent