Data with 2+ years in data analysis & Python automation
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with hands-on experience in data analysis, data processing, SQL querying, and Python automation. Proven ability to clean, validate, and standardize large datasets to deliver actionable insights for market research and business decision-making.
Hindustan Institute of Technology and Science
Bachelor of Technology · Computer Science & Engineering (Artificial Intelligence & Machine Learning)
August 1, 2019 – June 30, 2023
NielsenIQ
Data Processing Analyst
June 1, 2024 – Present
Chennai, Tamil Nadu, India
Adaptive Music Filtering Engine
January 1, 2023 – December 31, 2023
• Built a Built a hybrid recommendation system using collaborative and content-based filtering techniques in Python. • Performed data preprocessing and feature engineering using Pandas to prepare user interaction data. • Trained and evaluated machine learning models using Scikit-learn, improving recommendation accuracy by 8%. • Implemented similarity metrics and model tuning to enhance personalized music recommendations.
Fingerprint Spoof Detection System
January 1, 2022 – December 31, 2022
• Developed an ML-based fingerprint spoof detection system using classification algorithms in Python. • Applied data preprocessing, feature extraction, and model training using Pandas and Scikit-learn. • Improved spoof detection reliability by optimizing model parameters and reducing false acceptance rates. • Integrated the solution with IoT-based fingerprint sensors for real-time spoof detection and validation.
IBM AI & ML Graduate
IBM
June 1, 2026 – Present
Workshop at Google AI Explore ML
June 1, 2026 – Present
Microsoft Professional Data Analysis
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show initiative in applying AI/ML concepts to real-world problems (fingerprint spoof detection, music recommendation). The current role at NielsenIQ indicates exposure to large-scale FMCG datasets and market research, which suggests adaptability to different data domains. The certifications from IBM, Google, and Microsoft indicate a proactive approach to learning and skill development. However, the overall breadth of experience is limited to a single professional role and academic projects, which might indicate a need for more diverse industry exposure for a senior-level cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates an ability to collaborate with cross-functional teams and translate business requirements into analytical solutions. The experience in optimizing data pipelines and reporting processes suggests a focus on efficiency and reliability. However, without specific psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.