Help & Supportcareers@gravityer.com
Data Analyst with less than a year in Python, SQL, and Power BI, skilled in data cleaning, visualiza
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 Analytics skilled in Python, SQL, and Power BI with hands-on experience applying analytics across Telecom, HR, and Retail domains. Strong at data cleaning, visualization, and predictive modeling to generate business insights and decision support.
Pune University
B.E. · Computer Science
August 1, 2022 – June 30, 2026
Maharashtra State Board
HSC
June 1, 2021 – May 31, 2022
Maharshtra State Board
SSC
June 1, 2019 – May 31, 2020
Mitu Skilllogies
Data Analytics Intern
April 1, 2025 – June 1, 2025
Pune, Maharashtra, India
HR Analytics – Employee Attrition Prediction
November 1, 2025 – December 1, 2025
Processed and analyzed 1,400+ employee records to determine factors influencing attrition (job satisfaction, salary, overtime). Developed predictive models (Logistic Regression, Random Forest) achieving 87% accuracy. Designed an HR analytics dashboard in Power BI to visualize attrition by department and age group. Suggested data-backed HR initiatives (salary review, flexible scheduling) to reduce turnover by 12%.
Telecom Customer Churn Analysis
October 1, 2025 – November 1, 2025
Analyzed data of 7,000+ telecom customers to identify key churn factors such as tenure, contract type, and monthly charges. Trained models (Logistic Regression, Decision Tree, XGBoost) achieving 89% accuracy in churn prediction. Built an interactive Power BI dashboard visualizing churn trends by plan, tenure, and payment type. Proposed 3 actionable retention strategies reducing predicted churn by 15%.
Power BI
Simplilearn
June 1, 2026 – Present
Technology Consulting Virtual Internship
Deloitte (Forage)
June 1, 2026 – Present
MLOps
Mitu Skilllogies
June 1, 2026 – Present
Data Analytics Essentials
Cisco
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internship demonstrate a proactive approach to learning and applying data analytics skills across diverse domains (Telecom, HR, IoT/Battery Health). This breadth of interest and application aligns well with a dynamic environment that values continuous learning and cross-domain problem-solving. The certifications further support a commitment to professional development.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate analytical findings into actionable business strategies, suggesting good problem-solving and business acumen. Collaboration is mentioned in the internship, indicating teamwork potential. The academic projects show initiative and a structured approach to data analysis.