Help & Supportcareers@gravityer.com
Data Analyst with 2+ years in SQL, Power BI & Excel
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 Analyst with 1.5+ years of experience and 2.5+ years as MIS Executive, specializing in data analysis, business intelligence, and reporting automation. Proficient in Advanced Excel (VLOOKUP, Pivot Tables, Power Query, Macros), SQL (CTEs, stored procedures), and Power BI (DAX, KPI dashboards). Skilled in EDA, data cleaning, ETL pipelines, and translating raw data into actionable insights. Experienced in stakeholder collaboration and data-driven decision-making.
SGBAU Amaravati University, Maharashtra
Bachelor of Engineering · Electronics & Telecommunication (EXTC)
August 1, 2012 – September 1, 2016
Secular Software Pvt Ltd
Data Analyst
January 1, 2025 – Present
Pune, Maharashtra, India
Spectrum Consultant Pvt India Ltd
MIS Executive
March 1, 2021 – December 1, 2024
Pune, Maharashtra, India
Web Scraping & Data Analysis – JustWatch Streaming Platform
June 1, 2026 – June 1, 2026
- Architected an end-to-end web scraping ETL pipeline using Python (BeautifulSoup, Requests) to extract structured data for 100+ movies and TV shows from JustWatch. - Implemented robust exception handling and HTTP error management ensuring 99%+ script reliability. - Applied Pandas for data filtering (IMDb >= 7.0, last 2 years), calculated average ratings, and identified top 5 genres by content volume. - Exported cleaned dataset to CSV for downstream reporting in Excel and Power BI, completing the full pipeline from extraction to insight delivery.
Google Play Store App Review Analysis
June 1, 2026 – June 1, 2026
- Conducted end-to-end EDA on 10,000+ Play Store apps and user reviews using Python, uncovering key drivers of app ratings, installs, and user engagement. - Transformed raw dataset through data cleaning and wrangling: handled missing values, removed duplicates, and converted malformed columns into numerical formats. - Spearheaded sentiment analysis on user reviews, revealing strong correlation between positive sentiment and higher ratings - actionable insight for product teams. - Created 10+ visualizations (Matplotlib, Seaborn) covering category distribution, rating patterns, and pricing impact, enabling data storytelling for stakeholders.
HR Employee Attrition Analysis
January 1, 2025 – February 1, 2026
- Analyzed HR Employee Attrition dataset (1,470 records, 35 features) using SQL and Python to identify key drivers of employee turnover across departments, job roles, income levels, and tenure. - Wrote 15+ advanced SQL queries (CTEs, window functions, GROUP BY, CASE WHEN) to segment employees by attrition risk and identify high-risk salary bands. - Developed an interactive 3-page Power BI dashboard with 10+ KPIs using DAX measures, slicers, and drill-through filters for HR stakeholders. - Delivered insights showing 63% of attrition occurs in employees earning below Rs.5,000/month, enabling HR teams to reduce hiring cost by an estimated 20%.
Data Analyst Certification
Techwave Solution
June 1, 2026 – Present
Full Stack Data Science & AI
AlmaBetter Edutech Pvt. Ltd
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from HR attrition analysis to Google Play Store app reviews and web scraping, indicates a broad interest in applying data analysis across different domains. The academic projects, combined with professional experience as a Data Analyst and MIS Executive, show a commitment to continuous learning and practical application of skills. The role alignment with the target role of 'Data Analyst' is strong, given the direct experience and relevant technical skills.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight collaboration with stakeholders and cross-functional teams, suggesting good interpersonal and teamwork skills. The focus on automating reports and streamlining workflows indicates a proactive and efficiency-driven operational fit. The ability to convert business problems into data models shows strong analytical thinking and problem-solving skills.