SREEKANT PATNAIK

Data Analytics Intern | AI & ML Student

1408sreekant@gmail.com, 723121, Adra, INDIA.

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.

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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

Certificates

Microsoft Certified: Power BI Data Analyst Associate (PL-300)

Microsoft

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

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.

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.

SREEKANT PATNAIK