Data Analyst with less than a year in SQL, Python & Data Visualization.
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Detail-oriented Data Analyst with hands-on experience in SQL, Python, and data visualization, supported by a strong foundation in statistical analysis. Experienced in ETL workflows, data cleaning, EDA, and KPI dashboard development to support business decision-making. Proven ability to analyze large datasets, identify trends, and deliver actionable insights using Power BI, Excel, and Tableau. NASSCOM-certified Data Analyst with strong communication and cross-functional collaboration skills.
Genba Sopanrao Moze College of Engineering, Balewadi
Bachelors of Engineering · Information Technology
June 1, 2021 – April 1, 2025
Guruvarya R. P. Sabnis Jr. College, Narayangaon
Class 12th (HSC)
June 1, 2019 – April 1, 2021
AI VARIANT
DATA ANALYST INTERN
October 1, 2025 – December 1, 2025
India
Telecom Customer Churn Analysis and Prediction
November 1, 2025 – November 1, 2025
Built an end-to-end ETL pipeline in SQL Server to process and analyze 6,400+ telecom customer records. Designed two Power BI dashboards (Churn Analysis and Churn Prediction) to track churn rate, revenue impact, customer demographics, and high-risk segments. Applied DAX measures and Power Query transformations, including customer segmentation and data unpivoting, to improve reporting accuracy and usability. Built a Random Forest classification model in Python to predict high-risk churn customers, generating a prioritized retention list of 389+ customers to support targeted churn-reduction initiatives.
View ProjectTransportation Performance Analysis
October 1, 2025 – October 1, 2025
Performed end-to-end data analysis on ride-booking and customer datasets using SQL, Excel, and Power BI to evaluate operational efficiency, booking trends, cancellations, and revenue performance. Cleaned, integrated, and transformed data using SQL queries, aggregations, and calculated measures to ensure accuracy and analytical readiness. Built interactive Power BI dashboards covering booking performance, ride operations, vehicle utilization, customer segments, cancellations, and revenue contribution. Conducted trend and segmentation analysis to identify peak booking periods, high-value customers, payment preferences, and key cancellation drivers impacting operations.
View ProjectData Analytics and Data Science
ExcelR
June 1, 2026 – Present
SQL Intermediate Level Certification
HackerRank
June 1, 2026 – Present
Certificate Program in Data Analyst
NASSCOM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a good breadth of data analysis applications (telecom churn, transportation performance), indicating adaptability to different business domains. The listed certifications and ongoing education show a proactive approach to learning and skill development. The target role of Data Analyst aligns well with the candidate's experience and project focus.
Soft Skills & Operational Fit
The candidate's resume highlights adaptability, attention to detail, teamwork, and communication as soft skills. Project descriptions show an ability to work on end-to-end analysis, suggesting good operational fit for data analysis roles. The focus on delivering actionable insights and communicating recommendations aligns well with business needs.