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Data Operations Analyst with less than a year in Python & SQL
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Operations Analyst with expertise in Python, SQL, SAS, Power BI, and Tableau. Proven track record in data cleansing, predictive analytics, dashboard development, and reporting automation. Adept at transforming complex datasets into actionable insights that drive data-driven decisions and improve operational efficiency.
Imarticus Learning
Post Grad. Program · Data Science & Analytics
March 1, 2024 – March 1, 2025
Guru Nanak College (Autonomous)
Bachelor of Science · Data Analytics
January 1, 2022 – January 1, 2025
NielsenIQ
Data Operations Analyst
January 1, 2026 – Present
Chennai, Tamil Nadu, India
Unified Mentor
Data Analyst Intern
January 1, 2025 – December 31, 2025
India
Statistical Analysis System (SAS)
SAS Macro Intern
January 1, 2024 – December 31, 2024
India
Food Delivery Time Prediction
January 1, 2025 – December 31, 2025
Built Random Forest & XGBoost model achieving 88%+ accuracy in predicting delivery times from historical order and traffic data. Reduced prediction error by 20% through feature engineering, hyperparameter tuning, and cross-validation. Created an interactive dashboard to visualise delivery trends and peak-hour efficiency metrics.
Heart Rate Monitoring Sensor
January 1, 2024 – December 31, 2024
Built Python data pipeline for real-time IoT biometric data ingestion, smoothing, and anomaly detection — improving signal accuracy by 25%. Designed threshold-based alerting logic to flag abnormal readings for health monitoring applications.
SAS Macro Automation
January 1, 2024 – December 31, 2024
Developed reusable SAS macro libraries for data transformation and validation, cutting report generation time by 40%. Validated all macro outputs against manual benchmarks, achieving 100% accuracy in automated reporting.
Advanced SAS Proficiency
Unknown
June 1, 2026 – Present
Applied Data Mining & Machine Learning
Unknown
June 1, 2026 – Present
AWS Cloud Practitioner
Unknown
June 1, 2026 – Present
MongoDB Developer Certification
Unknown
June 1, 2026 – Present
RPA Business Analytics
Unknown
June 1, 2026 – Present
Cyber Security Essentials
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects showcase a diverse interest in data science applications, from food delivery prediction to IoT analytics and SAS automation. Their internship experiences align well with the target role, demonstrating a proactive approach to learning and applying data analysis techniques. The current role at NielsenIQ further solidifies their commitment to data operations. The breadth of certifications (AWS, MongoDB, RPA, Cyber Security) indicates a continuous learning mindset and adaptability, which are positive indicators for cultural fit in a dynamic environment. The focus on efficiency and accuracy in their work aligns with typical operational excellence values.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their project work and internship experiences, particularly in identifying trends, anomalies, and improving model accuracy. Their current role as a Data Operations Analyst at NielsenIQ indicates a good operational fit, emphasizing data quality, validation, and cross-functional collaboration. The ability to translate raw data into actionable insights suggests good business acumen. However, the resume does not provide explicit details on communication or teamwork in a senior capacity, beyond 'collaborate cross-functionally'.