Help & Supportcareers@gravityer.com
Data Analyst with 2+ years in SQL, Python, and Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-oriented Data Analyst with hands-on experience in SQL, Python, Power BI, and Excel. Proficient in data cleaning, exploratory data analysis, dashboard creation, and database design to deliver actionable business insights. Following a career break for childcare responsibilities (2020-2026), completed intensive Data Analyst training at ETL HIVE (2026) and built multiple end-to-end data projects. Eager to apply analytical skills and support data-driven decision-making in a professional environment.
Bharati Vidyapeeth College of Engineering for Women, Pune
B.E. · Electronics & Telecommunication
N/A – June 30, 2015
Maharashtra State Board
HSC (12th Grade)
N/A – May 31, 2010
Maharashtra State Board
SSC (10th Grade)
N/A – May 31, 2008
Manas Microsystems Pvt. Ltd.
Application Engineer
December 1, 2019 – July 1, 2020
India
Nav Maharashtra Jr. College
Junior Lecturer
June 1, 2015 – April 1, 2017
India
Retail Invoice Management System
January 1, 2026 – June 1, 2026
Designed a normalized relational database schema covering Customers, Products, Orders, and Payments tables. Wrote 20+ optimized SQL queries using JOIN, GROUP BY, and HAVING clauses to extract business insights. Implemented data integrity constraints including Primary Key and Foreign Key relationships.
Superstore Sales & Profit Dashboard
January 1, 2026 – June 1, 2026
Built a 3-page interactive Power BI dashboard (Sales Analysis, Profit Analysis, Customer Demographics) for a Superstore dataset covering 2,587+ customers, 1,367+ products, and 1,315+ orders. Designed KPI cards tracking Current Year Sales (Rs. 733K), LY Sales (Rs. 609K), and YoY Growth (20.4%) using DAX measures. Created dynamic visuals including bar charts for Top 5 products by Sales/Profit, donut charts for regional breakdown, and monthly trend line charts comparing current vs. prior year performance. Analyzed customer demographics with Top 10 Active Buyers, Top 10 Valuable Customers, profit by Ship Mode, and regional Sales vs. Profit comparison charts. Implemented cross-page filters (Year, Segment, Sub-Category, Ship Mode) with drill-through functionality for granular insights.
Stock Market Analysis & Tracking App
January 1, 2026 – June 1, 2026
Developed a real-time stock market tracking application by integrating live market API data using Python. Processed and analyzed 10,000+ data points using Pandas and NumPy to identify market trends. Created interactive visualizations for portfolio tracking and trend analysis using Matplotlib and Seaborn.
Laptop Price Analysis
January 1, 2026 – June 1, 2026
Cleaned and preprocessed a dataset of 1,300+ laptop records by handling missing values and removing duplicates. Performed univariate and bivariate analysis to identify key pricing factors such as brand, RAM, and processor type. Visualized insights using Matplotlib and Seaborn, reducing data interpretation time by 30%.
Data Analyst Course
ETL HIVE
January 1, 2026 – Present
Advanced Certification in Control Instrumentation
Forbes Marshall
January 1, 2017 – Present
Cultural Fit Analysis
The candidate's proactive approach to upskilling and project diversity (retail, superstore sales, stock market, laptop pricing) indicates a strong willingness to learn and adapt, which aligns well with a dynamic work environment. The stated strengths of teamwork and adaptability suggest a collaborative mindset. The career break and subsequent re-entry into the workforce through dedicated training show determination and a goal-oriented attitude.
Soft Skills & Operational Fit
The candidate's resume highlights 'Teamwork, Adaptability, Attention to Detail, Willingness to Learn' as strengths, which are positive indicators for operational fit. The previous role as a Junior Lecturer also suggests strong communication and presentation skills. The career break for childcare, followed by proactive upskilling, demonstrates resilience and commitment to career development.