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Data Analyst with 1+ years in Python & Power BI
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Results-driven Data Analyst with 2 years of professional experience transforming raw data into actionable business intelligence. Proficient in Python, SQL, Power BI, Tableau, and Advanced Excel with hands-on expertise in ETL processes, data modeling, KPI dashboards, and reporting automation. Completed 6 industry-recognized certifications during a dedicated self-upskilling period (2023–2024) prior to joining the workforce. Skilled at collaborating with cross-functional teams to deliver insights that drive strategic decisions. Immediate joiner open to relocation across India.
DNCVPS College, Jalgaon
B.Sc. · Computer Science
N/A – June 30, 2023
Sagveek Technologies Pvt. Ltd.
Data Analyst
July 1, 2024 – Present
Pune, Maharashtra, India
Power BI Sales Performance Dashboard
June 24, 2026 – Present
Built a multi-page Power BI dashboard tracking sales KPIs across regions and product categories with drill-through from summary to transaction level. Created 15+ DAX measures (YTD revenue, MoM growth %, rolling 3-month averages, target variance) and implemented row-level security (RLS) for regional data governance. Integrated 3 data sources (SQL Server, Excel, CSV) via Power Query with a star-schema model; optimized queries reducing dashboard load time by 25%. Insights surfaced a 15% Q3 revenue gap, enabling the sales team to reallocate resources to underperforming territories.
Customer Churn EDA
June 24, 2026 – Present
Performed EDA on a 7,000+ record telecom dataset; engineered 8+ features (tenure buckets, usage ratios, contract flags) and used chi-square tests to quantify churn drivers. Generated 20+ visualizations (heatmaps, pair plots, box plots); found month-to-month contract customers had 3.2× higher churn and tenures <6 months drove 47% of all churn. Documented full analysis in Jupyter Notebook with narrative commentary for reproducibility and non-technical stakeholder presentation.
CRUD Web Application
June 24, 2026 – Present
Built a full-stack Flask web app with CRUD operations, a normalized 3-table SQLite schema, parameterized queries (SQL injection prevention), and MVC architecture. Implemented form validation, error handling, and OOP-based structure with cleanly separated routing, business logic, and HTML/CSS templates.
Customer Insights Dashboard
June 24, 2026 – Present
Developed Tableau dashboards analyzing customer behavior, order patterns, repeat purchases, and product category performance. Used calculated fields, dashboard actions, filters, and story points to create interactive business intelligence reports. Performed data cleaning and preprocessing in Excel before importing datasets into Tableau for visualization and reporting. Generated insights on customer segmentation and purchasing trends, supporting targeted sales and marketing strategies.
Tableau
Unknown
June 1, 2024 – Present
Power BI
Unknown
March 1, 2024 – Present
SQL
Unknown
January 1, 2024 – Present
Advanced Excel
Unknown
November 1, 2023 – Present
HTML & CSS
Unknown
September 1, 2023 – Present
Python (Advanced)
Unknown
July 1, 2023 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, covering sales performance, customer churn, and general customer insights, indicates adaptability and a broad interest in data applications. The focus on business intelligence, KPI reporting, and stakeholder collaboration aligns well with typical data analyst roles. The self-upskilling initiative shows a proactive and growth-oriented mindset, which is a positive cultural indicator. The candidate's experience is directly aligned with the target role of Data Analyst.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through root cause analysis and process improvement initiatives. Collaboration with cross-functional teams is highlighted, indicating good teamwork and communication. The ability to automate reports suggests an efficiency-driven mindset. The candidate's immediate availability and willingness to relocate indicate flexibility and a strong desire to contribute.