Data Analyst with 1+ years in SQL, Python & Power BI
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Assessing your cultural and operational fit
Data analyst with hands-on experience in SQL, Python, Power BI, and business intelligence reporting. Skilled in customer analytics, KPI reporting, dashboard development, and translating structured datasets into actionable business insights. Experienced in data cleaning, EDA, statistical analysis, and analytics-driven decision support for business and marketing use cases.
Chandigarh University
B.E. · Computer Science and Engineering (AI & ML)
August 1, 2022 – June 30, 2026
Sharde Public School
12th
N/A – May 31, 2022
Gitanjali School
10th
N/A – May 31, 2020
Tata Group
1 yr 1 mo
GenAI Powered Data Analytics Job Simulation
January 1, 2026 – Present
India
Data Visualisation Job Simulation
September 1, 2025 – Present
India
Teachnook (in collaboration with IIT Roorkee)
AI Training Program
February 1, 2024 – March 1, 2024
India
Customer Behavior Analysis
October 1, 2025 – November 1, 2025
Cleaned a 3.9K-record retail dataset using Pandas - standardized 18 fields, imputed missing ratings via category-wise medians, and engineered age_group and purchase_frequency_days features for demographic and frequency-based segmentation. Ran 10 SQL queries in MySQL using window functions and conditional aggregations to uncover revenue splits, top products, discount impact, and segment customers into new, returning, and loyal cohorts. Built a Power BI dashboard with 7+ KPIs - subscription share, category trends, and rating insights - consolidating preprocessing and SQL outputs into a unified stakeholder reporting view.
View ProjectSales Performance Analytics Dashboard
August 1, 2025 – September 1, 2025
Analyzed 30K+ sales transactions across regions to track revenue trends, measure month-over-month growth, and identify underperforming categories contributing to revenue gaps. Defined and computed 5+ business KPIs - monthly revenue, category contribution, and regional growth rate - using SQL aggregations and Excel formulas to establish a structured performance benchmarking baseline. Built interactive Excel dashboards with Pivot Tables and Power Query with dynamic filters by region, category, and time period to surface seasonal demand patterns and actionable insights for stakeholders.
View ProjectTwitter Analytics Dashboard
April 1, 2025 – May 1, 2025
Processed 1K+ tweet records via Power Query - applied type standardization, null handling, and time-series transformation to build an analytics-ready dataset for engagement performance reporting. Authored 6+ DAX measures to compute engagement rate, click-through trends, impression velocity, and content-level performance scores across tweet types and time windows. Delivered filter- and time-based dashboard views for granular tweet comparison, reducing manual reporting effort by 35% and enabling content strategy decisions from quantified engagement data.
View ProjectIntroduction to Data Science
Cisco Networking Academy
March 1, 2026 – Present
SQL (Intermediate)
HackerRank
December 1, 2025 – Present
SQL: A Practical Introduction for Querying Databases
IBM (via Coursera)
June 1, 2025 – Present
Introduction to Generative AI for Data Analysis
Microsoft (via Coursera)
February 1, 2025 – Present
Microsoft Certified: Azure AI Fundamentals (AI-900)
Microsoft
August 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, including sales, customer behavior, and social media analytics, shows adaptability and a broad interest in applying data analysis across different domains. Their engagement in job simulations and certifications from reputable organizations (Tata Group, Microsoft, IBM, Cisco) indicates a strong drive for continuous learning and professional development, aligning well with a growth-oriented culture. However, the experience is primarily academic and simulation-based, which might require more mentorship in a fast-paced corporate environment.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning through various certifications and job simulations. Their project descriptions indicate an ability to translate technical analysis into business insights, which is crucial for an operational data analyst role. The focus on end-to-end reporting and stakeholder communication suggests good operational fit.