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Data Analyst with less than a year in Data Analysis & BI Reporting
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Assessing your cultural and operational fit
Entry-level Data Analyst and MCA graduate with hands-on experience in data analysis, data cleaning, data visualization, and business intelligence reporting. Proficient in Python, SQL, and Power BI with a strong foundation in building end-to-end data pipelines, performing exploratory data analysis (EDA), and delivering interactive dashboards that drive data-driven decision-making. Skilled in stakeholder reporting, RFM segmentation, DAX-powered KPIs, and Power Query data modeling across datasets of 6,000-50,000+ rows.
Vivekananda College of Engineering & Technology
Master of Computer Applications (MCA) · Python & Data Analytics
February 1, 2023 – February 1, 2025
St Philomena College Darbe
Bachelor of Computer Applications (BCA)
June 1, 2019 – October 1, 2022
RDL Technologies Pvt Ltd
Data & Software Engineer Intern
October 1, 2023 – December 1, 2023
Mangalore, Karnataka, India
Sales Performance & Target Achievement Dashboard
June 1, 2026 – Present
Designed an interactive business intelligence dashboard by integrating sales, target, returns, and regional manager datasets (2015–2018); performed data cleaning and data transformation using Power Query, including multi-year dataset appending and dimension/fact table data modeling. Created DAX measures for Total Sales, Profit, Orders, Target Achievement %, Return %, Delivery Delays, and Year-over-Year (YoY) growth; delivered data visualizations analyzing region-wise performance, category sales trends, and Regional Manager effectiveness. Built a risk monitoring view combining target achievement, returns, and delivery metrics to identify underperforming regions and missed targets - presented as a client-ready monthly business review dashboard enabling data-driven decision-making.
HR Workforce Data Analysis & Dashboard
April 1, 2026 – June 1, 2026
Conducted end-to-end data analysis on a 6,175-row HRMS dataset - performed data cleaning, removed 175 duplicates, corrected categorical inconsistencies, and standardized fields across gender, department, and employment status for downstream reporting. Built a data pipeline using Python and Pandas for data transformation: mixed-format date parsing, salary outlier clipping via quantiles, age validation, group-wise median imputation, regex-based phone cleaning, and tenure calculation. Wrote 10 SQL queries for business intelligence reporting: NULL audits, attrition analysis by department, average salary by job title, gender distribution, top-5 cities by performance rating, and year-wise hiring trends - loaded results to MySQL via SQLAlchemy. Developed 3 Power BI dashboards (Attrition & Retention, Compensation & Pay Equity, Performance & Workforce Overview) with DAX-powered KPI measures tracking Attrition Rate <12%, Gender Pay Gap Index <5%, and Avg Performance Rating for executive stakeholder reporting.
View ProjectCustomer Behavior Analytics Dashboard
January 1, 2026 – February 1, 2026
Performed exploratory data analysis (EDA) and data cleaning on a 50,000+ row e-commerce dataset - resolved null values, standardized schemas, and built RFM-based customer segmentation model, reducing data inconsistency by 35%. Wrote 10+ advanced SQL queries using CTEs and window functions to surface top-product trends and customer churn signals; delivered a Power BI business intelligence dashboard with 6 DAX KPI tiles and 4 drill-down data visualizations for weekly stakeholder reporting.
Data Science
Dr. Reddy's Foundation
June 1, 2026 – Present
Machine Learning
Pantech Solutions
February 1, 2025 – Present
Data Analytics
Pantech Solutions
January 1, 2025 – Present
Python Development
Pantech Solutions
October 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, covering HR, Sales, and Customer Behavior analytics, shows adaptability to different business domains. The listed soft skills like 'Stakeholder Management' and 'Data-Driven Decision Making' align well with a collaborative and results-oriented work culture. The breadth of technical skills (Python, SQL, Power BI, various libraries and concepts) indicates a willingness to learn and apply diverse tools, contributing positively to cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving skills through data cleaning and optimization tasks. Collaboration with cross-functional teams and adherence to code review compliance during an internship indicate a good operational fit. The project descriptions highlight stakeholder management and data-driven decision-making, which are crucial for a Data Analyst role.