Source-Partner Opportunity Analysis
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Summary
Analyzed remittance corridors and built a scalable ETL pipeline to identify high-value opportunities and facilitate strategic expansion for business development prioritization.
About
Data Analytics professional and AI & ML-focused Computer Science student at VIT Bhopal University. Skilled in ETL development, data modeling, and dashboard creation using Power BI, Apache Superset, and Python. Proven ability to analyze large datasets for actionable insights and operational improvements. Microsoft Certified Power BI Data Analyst committed to driving data-informed business decisions.
Work
TerraPay Solutions India Pvt. Ltd.
|Data Analytics Intern
Bengaluru, Karnataka, India
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Intern
Summary
Developed and optimized data solutions for remittance performance analysis, enhancing reporting accuracy and operational efficiency for executive stakeholders.
Highlights
Developed interactive Apache Superset dashboards, enabling real-time monitoring across 15+ remittance corridors and analyzing 500K+ monthly transaction records, improving reporting accuracy by 20% through robust data quality protocols.
Collaborated with cross-functional teams (Finance, Operations, Risk) to design and optimize ETL pipelines, reducing manual processing by 50% and establishing automated daily reporting infrastructure.
Constructed comprehensive data models for remittance performance analysis, supporting strategic decision-making for corridor expansion and partner evaluation, and reducing data validation time by 30%.
Education
VIT Bhopal University
Bhopal, Madhya Pradesh, India
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B.Tech
Computer Science & Engineering (Specialization: AI & ML)
Grade: 8.41 CGPA
Languages
Bengali
Proficient
Odia
Conversational
Telugu
Conversational
Hindi
Native
English
Native
Skills
Programming & Scripting
Python, Pandas, NumPy, Matplotlib, Seaborn, SQL, Java, C++.
Data Analytics
Statistical Analysis, Data Modeling, ETL Development, Data Cleaning, Data Transformation.
Data Visualization & Tools
Apache Superset, Tableau, Microsoft Excel (Advanced), Power BI, Jupyter Notebooks.
Databases
MySQL, PostgreSQL, Data Warehousing Concepts.
Projects
Destination-Partner Ranking System
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Summary
Developed a multi-criteria ranking algorithm to evaluate 465 destination partners, enabling data-driven strategic partner selection and optimized resource allocation.