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Data Analyst with 4+ years in Python, SQL & Machine Learning
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 professional with an M.Sc. in Data Science and hands-on experience in data analysis, SQL, Python, and machine learning. Background includes 3.5 years as a Systems Engineer at Infosys, providing a strong foundation in structured problem-solving, data-driven development, and stakeholder communication. Currently transitioning fully into data roles with recent internship experience in EDA, reporting, and SQL-based data validation. Seeking full-time roles in Data Analytics, Business Intelligence, or Business Analysis.
IU International University of Applied Sciences
M.Sc. · Data Science
August 1, 2022 – June 30, 2025
Unknown
B.Tech · Electronics & Communication Engineering
August 1, 2009 – June 30, 2013
Crizalinfo Tech
Data Analyst Intern
September 1, 2025 – April 30, 2026
Jaipur, Rajasthan, India
Infosys Ltd.
Senior Systems Engineer
February 1, 2014 – June 30, 2017
India
Credit Card Fraud Detection
June 21, 2026 – Present
Built ML pipeline on ULB dataset (284K transactions, 0.17% fraud); RF + RUS achieved F1 0.98, Precision 1.00, Recall 0.97. Applied Stratified 5-Fold CV and RandomizedSearchCV for rigorous model evaluation and hyperparameter tuning.
Sentiment-Enhanced Hybrid Recommendation System
June 21, 2026 – Present
Designed hybrid recommender combining collaborative filtering, NLP, and DistilBERT sentiment signals; outperformed all traditional ML baselines.
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a proactive approach to learning advanced data science concepts. The transition from Systems Engineer to Data Analyst, coupled with an M.Sc. in Data Science, shows a clear career trajectory and commitment to the field. The diversity of projects (fraud detection, recommendation systems) and the listed target roles (Data Analyst, Business Analyst, BI Analyst, Junior ML/NLP Engineer) suggest adaptability and a broad interest in data-related domains. However, the lack of diverse professional experience beyond an internship and a systems engineering role limits the assessment of cultural fit in varied team environments.
Soft Skills & Operational Fit
The candidate's experience in documenting analytical workflows and SOPs, collaborating with business analysts, and working cross-functionally indicates good operational fit and communication skills. The Infosys experience suggests a structured approach to problem-solving and stakeholder management. However, without specific assessment scores for communication and psychometric tests, a deeper evaluation of soft skills is limited.