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Data Analyst with less than a year in SQL, Python, and ETL processes
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 Computer Engineering graduate with strong hands-on experience in SQL, Python, data analysis, and REST API-driven data pipelines (ETL). Completed PG-DAC from CDAC, IET Pune (2025). Familiar with Power BI for data visualization and reporting. Strong analytical and problem-solving mindset with experience in relational database design, SQL queries, data extraction, transformation, and structured reporting. Eager to contribute to data-driven decision making as a Data Analyst at CRIF India.
Savitribai Phule Pune University
B.E. · Computer Engineering
N/A – June 30, 2024
Maharashtra State Board
HSC (12th) · PCMB
N/A – May 31, 2020
Maharashtra State Board
SSC (10th) · General
N/A – May 31, 2018
CDAC, IET Pune
PG-DAC · Advanced Computing
N/A – June 30, 2025
AI-Based Sign Language Detection
June 18, 2026 – Present
Built a complete data science pipeline dataset collection, annotation, preprocessing, feature extraction, model training, and performance evaluation using Python. Applied data analysis techniques including feature extraction, model performance analysis, and iterative optimisation to improve prediction accuracy. Demonstrated hands-on Python and data handling skills directly applicable to data analyst workflows.
Customised Virtual File System
June 18, 2026 – Present
Implemented core OS-level data structures using C++ and Java - demonstrating strong programming fundamentals and logical thinking.
IET Bridge Portal - Full Stack Web Application
June 18, 2026 – Present
Designed and modelled a relational database in MySQL with optimised SQL queries, joins, and aggregations enabling accurate and efficient data retrieval and reporting. Built REST API-driven ETL pipelines extracting data from multiple sources, transforming it, and loading structured data for reporting and analysis. Developed an admin dashboard to track, manage, and analyse user activity and platform engagement directly relevant to data analyst responsibilities. Maintained structured records and documentation throughout the project demonstrating attention to detail and data management skills.
Cultural Fit Analysis
The candidate's academic projects show a breadth of technical interests, from full-stack web development to AI/ML and OS-level data structures. This diversity suggests adaptability and a willingness to learn across different domains. The focus on data-related projects (IET Bridge Portal, AI-Based Sign Language Detection) aligns well with a Data Analyst role, indicating a clear career interest. However, the lack of professional experience or extracurricular activities limits the assessment of broader cultural fit aspects like teamwork in a corporate setting or initiative beyond academic requirements.
Soft Skills & Operational Fit
The candidate demonstrates attention to detail through maintaining structured records and documentation. Their project work suggests an ability to work on complex problems and apply logical thinking. However, without specific psychometric or English test scores, a comprehensive assessment of work attitude, stress handling, and team collaboration is not possible.