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Data Analyst with less than a year in SQL, Python & PySpark
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 and analytical fresher with hands-on experience in SQL, Python, PySpark, and data analysis workflows. Proficient in collecting, transforming, and interpreting complex datasets to support data-driven decision-making. Experienced in building ETL pipelines, data cleaning, validation, and reporting using Pandas and NumPy. Strong analytical and problem-solving skills with the ability to identify trends, patterns, and business insights from data. Quick learner with excellent attention to detail and communication skills, seeking a Data Analyst role to drive smarter business outcomes.
Bhoj Reddy Engineering College for Women, Hyderabad
B.Tech · Electronics and Communication Engineering
August 1, 2021 – June 30, 2025
Narayana Junior College
Intermediate
June 1, 2019 – May 31, 2021
Shanthinikethan Educational Institutions
SSC
June 1, 2018 – May 31, 2019
Infosys
Digital Specialist Engineer Trainee
August 1, 2025 – November 30, 2025
India
Mini Data Warehouse – Analytical Reporting System
June 1, 2026 – Present
Designed and built a data warehouse model using Star Schema to organize and structure large datasets for analytical reporting. Performed data collection, cleaning, transformation, and validation using Pandas and NumPy, ensuring data accuracy and quality. Applied SCD Type 1 & 2 techniques to track historical changes and maintain data integrity across dimensions. Conducted data aggregations, joins, and feature preparation to support business insight reporting.
Data Processing Application using PySpark
June 1, 2026 – Present
Developed ETL workflows to collect and process large-scale structured data, applying quality checks and validation rules. Used Spark SQL and DataFrame operations for data aggregations, filtering, sorting, and trend analysis. Identified data patterns and anomalies through systematic analysis and reporting of processed datasets. Optimized pipeline performance to handle distributed data computation efficiently.
Customer Churn Prediction – Analytical Model
June 1, 2026 – Present
Collected, analyzed, and interpreted customer data to identify churn patterns and business risk indicators. Performed exploratory data analysis (EDA), visualized trends using Matplotlib, and prepared reports to support decision-making. Applied data preprocessing, feature engineering, and statistical analysis to draw actionable insights from complex datasets.
Python for Data Science and Machine Learning
Udemy
May 1, 2026 – Present
Introduction to MongoDB
Udemy
March 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse areas such as data warehousing, large-scale data processing, and predictive modeling, indicating a broad interest in data analysis applications. The internship at Infosys, though short, shows exposure to a corporate environment. The target role of Data Analyst aligns well with the skills and project experience. The certifications in Python for Data Science and MongoDB suggest a proactive approach to learning and skill development, which is a positive cultural indicator.
Soft Skills & Operational Fit
The candidate's resume highlights strong analytical and problem-solving skills, attention to detail, and communication skills. Collaboration in team environments is mentioned in the internship description, indicating a foundational understanding of teamwork. The academic projects demonstrate initiative and the ability to apply learned concepts to practical scenarios, which aligns with operational effectiveness.