Help & Supportcareers@gravityer.com
Data Analyst with less than a year in data manipulation, visualization, and actionable insights.
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 proficient in Python (Pandas, NumPy) and visualization tools like Matplotlib, Seaborn, and Power BI. Experienced in data cleaning, transformation, and interpretation for pattern recognition and data-based decision making. Demonstrated ability to create interactive dashboards using Plotly for improved data exploration and stakeholder reporting. Successfully applied analytical skills in projects involving COVID-19, hotel booking, and mobile sales datasets to uncover key trends and support decision-making.
NMV Govt College, Barkatullah University Bhopal (M.P.)
Masters in Economics · Economics
August 1, 2024 – June 30, 2026
NMV Govt College, Barkatullah University Bhopal (M.P.)
Bachelor of Commerce · Commerce
August 1, 2021 – June 30, 2024
Gain Tech Nexus
Data Analyst Intern
January 1, 2026 – Present
Indore, Madhya Pradesh, India
Covid19 Dataset Analysis
January 1, 2026 – June 1, 2026
Analyzed a real-world COVID-19 dataset using Python (Pandas, NumPy, Matplotlib, Seaborn) to identify trends in confirmed cases, deaths, and recoveries. Processed and transformed raw data by removing 60+ duplicate entries and imputing 5% missing values for improved analysis. Performed exploratory data analysis (EDA) to uncover country-wise impact, time-based trends, and peak infection periods through visualizations. Uncovered and visualized three key factors influencing infection rates across countries to support public health decision-making.
Hotel Booking Analysis
January 1, 2026 – June 1, 2026
Managed comprehensive Exploratory Data Analysis (EDA) on 119K+ hotel booking records and revealed a 37% overall cancellation rate, highlighting key risk factors affecting revenue. Standardized and preprocessed data using mean/mode imputation and deduplication, engineered features like Total Guests and Revenue, improving data quality by 100%. Discovered that City Hotels contributed ~60% of total bookings and peak-season months generated 25-30% higher revenue. Built dashboards (heatmaps, cancellation trends, ADR distribution, revenue comparison) revealing key factors like lead time and deposit type impacting cancellations.
Mobile Sales Analysis (Power BI)
January 1, 2026 – June 1, 2026
Refined and transformed raw data using Power Query, handling missing values and duplicates, resulting in ~20% improvement in data quality. Created 10+ dynamic visuals (KPIs, bar charts, slicers, line charts) to monitor sales growth, customer segmentation, and regional performance. Developed 8+ DAX measures and calculated columns to compute key metrics like total revenue, profit margins, and YoY growth, enhancing business insights.
Tata GenAI Powered Data Analytics completion certificate
Forage
June 1, 2026 – Present
Data Science Certification
Future multimedia
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in Economics and Commerce, combined with certifications in Data Analytics and Data Science, indicates a strong interest and foundational knowledge in the field. The projects demonstrate a proactive approach to learning and applying data analysis techniques. However, the projects are primarily academic, and the professional experience is limited to an internship, which might suggest a need for mentorship and adaptation to corporate culture and collaborative environments. The breadth of tools used (Python, Power BI, SQL, MongoDB) shows a willingness to learn diverse technologies.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work with complex datasets, identify key insights, and present findings clearly, which suggests good problem-solving and analytical thinking. The academic nature of most projects and limited professional experience mean that operational fit in a fast-paced corporate environment is yet to be fully proven. The internship is a positive step towards gaining real-world operational experience.