Ravi Singh

Data Analyst

https://www.opentalent.in/ravi-singh-9040135

Data Analyst with less than a year in data pipeline validation and quantitative data analysis with e

Key Strengths

Strong foundational knowledge in Python, SQL, and PySpark for data manipulation and analysis.
Demonstrated ability to build data ingestion pipelines and perform data validation and quality checks.
Experience with time-series and correlation analysis, and translating complex data into actionable insights.
Familiarity with data visualization tools like Power BI and Tableau, and concepts like KPI metrics.
Certifications in SAP Analytics Cloud, SQL for Data Science, Excel, and Tableau indicate proactive learning.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's academic projects demonstrate a focus on data analysis, pipeline development, and data integrity, which aligns well with a Data Analyst role. The breadth of skills listed (Python, SQL, PySpark, Pandas, NumPy, ML concepts, data visualization tools) and multiple certifications suggest a proactive and continuous learning mindset. However, the projects are academic and relatively short-term, limiting the assessment of long-term collaboration and adaptability in a professional team environment.

Soft Skills & Operational Fit

The candidate's project descriptions highlight an ability to translate complex algorithmic outputs into actionable insights for cross-functional partners, suggesting good communication and problem-solving skills. The focus on data quality checks and reconciliation logic indicates an attention to detail and operational rigor. However, without direct work experience, the operational fit and ability to handle real-world project complexities are yet to be fully validated.

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Assessing your cultural and operational fit

About

Computer Science graduate with a strong analytical foundation in Python, SQL, and PySpark, specializing in data pipeline validation and quantitative data analysis. Experienced in executing data quality checks, predictive modeling, and structured model evaluation techniques. Possesses deep curiosity in Generative AI frameworks, LLM performance monitoring, and model risk governance. Adept at translating complex algorithmic insights into clear, risk-focused summaries for cross-functional stakeholders.

Top Skills

PythonPyspark

Education

Lovely Professional University Punjab

Computer Science and Engineering · Computer Science and Engineering

August 1, 2022 – June 30, 2026

City Convent School

12th with Science · Science

June 1, 2020 – May 31, 2021

City Convent School

10th with Science · Science

June 1, 2018 – May 31, 2019

Projects

Multi-Source Data Ingestion & Algorithmic Fusion Pipeline

March 1, 2026 – April 1, 2026

Developed an end-to-end data ingestion pipeline in Python to fuse 4+ fragmented datasets, establishing structured data validation frameworks for analysis. Executed multi-dimensional time-series and correlation analysis on data structures, identifying systemic trends and providing risk-focused summaries. Built scalable data pipelines handling 50,000+ rows of historical ACLED data using Pandas, reducing manual processing latency by 60%. Evaluated complex geospatial and temporal data components, translating quantitative algorithmic outputs into actionable insights for cross-functional partners.

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Operational Transaction Analytics & Data Integrity Framework

February 1, 2026 – March 1, 2026

Engineered data pipeline integrations using SQL Server and flat files to track key operational and risk metrics across 10,000+ transactions. Formulated complex analytical queries and statistical metrics to evaluate real-time dataset performance, cutting manual oversight effort by 50%. Implemented strict data quality checks and reconciliation logic to validate source data accuracy and test for underlying data integrity anomalies. Conducted structured analysis of business requirements to map out 8 critical analytical views, ensuring compliance with documentation standards.

View Project

Certifications

SAP Certified Data Analyst - SAP Analytics Cloud

SAP

March 1, 2026 – Present

Databases and SQL for Data Science with Python

Coursera

December 1, 2025 – Present

Data Visualization in Excel

Coursera

November 1, 2024 – Present

Data Analysis with Tableau

Coursera

November 1, 2024 – Present

Key Strengths

Strong foundational knowledge in Python, SQL, and PySpark for data manipulation and analysis.
Demonstrated ability to build data ingestion pipelines and perform data validation and quality checks.
Experience with time-series and correlation analysis, and translating complex data into actionable insights.
Familiarity with data visualization tools like Power BI and Tableau, and concepts like KPI metrics.
Certifications in SAP Analytics Cloud, SQL for Data Science, Excel, and Tableau indicate proactive learning.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit