Kartikey Singh

Data Analyst and Data Quality professional

Lucknow, Uttar Pradesh 0+ yrs exp 85 · Excellent

About

Data Analyst and Data Quality professional with hands-on experience in python, SQL, Excel, Power Bi, and AI/ML data operations, skilled in data validation exploratory data analysis (EDA), dashboard creation, and process automation to improve data accuracy and business insights. Proven ability to work with large datasets, identify quality issues, and deliver actionable recommendations in cross-functional environments.

Skills & Expertise (39)

Python Advanced

7.4/10

Years Exp

Pandas Advanced

7.2/10

Years Exp

NumPy Advanced

7.0/10

Years Exp

SQL Advanced

7.0/10

Years Exp

Tableau Intermediate

6.8/10

Years Exp

Power BI Intermediate

6.8/10

Years Exp

Statistical Testing Intermediate

6.5/10

Years Exp

Git Intermediate

6.0/10

Years Exp

Google Analytics Intermediate

5.5/10

Years Exp

ETL Pipeline Development Intermediate

5.0/10

Years Exp

VS Code Jupyter Notebook GitHub Regression Analysis Feature Selection Feature Engineering XGBoost scikit-learn Predictive Modeling Hypothesis Testing A/B testing data quality frameworks Google Sheets SciPy MySql Postgresql Advanced Excel VLOOKUP Index-match Complex formulas Macros Plotly DAX Data Modeling Interactive Dashboards Calculated Fields LOD Expressions Matplotlib Seaborn

Work Experience

Data Analyst Intern

Oasis Infobyte

Apr 2026 - May 2026

Engineered automated Python-based data preprocessing pipeline that eliminated 30+ hours of manual QA effort per month while maintaining 98% accuracy—enabling team to focus on strategic analysis. Conducted in-depth exploratory data analysis (EDA) on multi-million-record datasets, uncovering critical edge cases, data quality issues, and hidden patterns that informed product optimization priorities. Developed comprehensive data quality reports and created documentation for data governance standards, improving cross-team understanding and consistency in data handling.

Data Science Intern

Hex Softwares Pvt. Ltd.

Nov 2025 - Dec 2025

Architected comprehensive data quality framework for ML pipeline processing 50,000+ records weekly, directly improving model accuracy by 15% and reducing false positives in production deployments. Partnered with AI/ML teams to define 25+ KPIs and establish data quality benchmarks, enabling cross-functional alignment and accelerating model deployment timelines by 20%.