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Data Analyst with less than a year in Data Pipelines & AI/ML
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A highly detail-oriented Data Engineer and Analyst with a strong background in Statistics and comprehensive experience in building and running data pipelines for high-volume, high-velocity datasets.
Shivaji University, Kolhapur
M.Sc. · Statistics
N/A – Present
Maharashtra Board
SSC
N/A – Present
Maharashtra Board
HSC · Science
N/A – Present
Shivaji University, Kolhapur
B.Sc. · Statistics
N/A – Present
WeAgile Software Solutions Pvt. Ltd.
Data Analyst
May 1, 2026 – Present
Pune, Maharashtra, India
WeAgile Software Solutions Pvt. Ltd.
Data Analyst
June 1, 2021 – March 1, 2022
Pune, Maharashtra, India
Email Spam Detection System
June 27, 2026 – Present
Developed a machine learning model to classify emails, using EDA, preprocessing, and NLP techniques for improved performance. Tools Used: Python, NLP.
Cultural Fit Analysis
The candidate's experience spans multiple industries (Retail, Airport, Mall/Shopping centers, Warehouse) and involves collaboration with diverse teams (business stakeholders, software engineers, analysts), indicating adaptability and a broad perspective. The project on 'Email Spam Detection System' shows initiative in personal learning and application of ML/NLP. The role alignment with 'Data Analyst' is strong, and the breadth of skills (SQL, Python, Power BI, ML concepts) suggests a good fit for data-centric roles.
Soft Skills & Operational Fit
The candidate's resume indicates collaboration with business stakeholders, software engineers, and analysts, suggesting good teamwork and communication skills. The description of developing data pipelines and creating data transformation solutions implies a structured and problem-solving approach. However, without psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.