Data Analyst with less than a year in Power BI, SQL & Python.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst and Power BI Developer with strong knowledge of SQL, Power BI (Desktop & Service), Excel, and Python. Skilled in data cleaning, analysis, dashboard development, data modeling, and reporting. Proficient in creating interactive reports, writing SQL queries, and transforming raw data into actionable business insights. Eager to leverage analytical and problem-solving skills to support data-driven decision-making and collaborate with stakeholders in a dynamic organization.
SGM College, Mahagaon, Kolhapur
Bachelor of Technology (B.Tech) · Computer Science & Engineering
January 1, 2021 – December 31, 2025
K.M.C. College, Sarawade
Higher Secondary Certificate (HSC)
January 1, 2019 – December 31, 2021
S.S.K. High School, Kapileshwar
Secondary School Certificate (SSC)
January 1, 2017 – December 31, 2019
Technopark
Data Analyst Intern
September 1, 2025 – April 30, 2026
India
E-Commerce Sales Performance Analysis
June 1, 2026 – Present
Extracted and consolidated e-commerce transaction data using SQL, and designed Power BI dashboards with DAX measures to analyze revenue trends and customer behaviour. Extracted and consolidated e-commerce transaction data from multiple sources using SQL for sales performance analysis. Performed data cleaning, validation, and transformation to ensure reporting accuracy and consistency. Designed Power BI dashboards showcasing revenue trends, top-selling products, customer purchasing behavior, and regional sales performance. Created calculated measures and KPIs using DAX to evaluate business growth and operational efficiency. Delivered data-driven insights that supported inventory planning and marketing campaign optimization.
Sales Dashboard for Regional Performance
June 1, 2026 – Present
Extracted and transformed sales data using SQL and built interactive Power BI dashboards with DAX measures to monitor KPIs and regional trends. Extracted, transformed, and consolidated sales data from multiple sources using SQL, creating structured datasets suitable for reporting, trend analysis, and business intelligence. Developed interactive Power BI dashboards featuring key performance indicators (KPIs), trend analysis, and drill-down capabilities to support data-driven business decisions. Designed data models, calculated measures using DAX, and visualizations that enabled stakeholders to monitor sales performance, customer behavior, and product trends effectively. Utilized SQL queries and Power BI analytics to identify performance patterns, uncover business opportunities, and provide actionable insights for strategic planning.
Customer Churn Analysis Dashboard
June 1, 2026 – Present
Analyzed customer subscription data using SQL and Python, and built a Power BI dashboard with DAX measures to identify churn drivers and retention opportunities. Collected and analyzed customer subscription data using SQL and Python to identify factors contributing to customer churn. Cleaned and transformed customer demographic, transaction, and service usage data to create an analytical dataset. Developed an interactive Power BI dashboard displaying churn rates, customer segments, retention trends, and risk indicators, using DAX for calculated measures and KPIs. Applied exploratory data analysis (EDA) techniques to uncover behavioural patterns associated with customer attrition. Generated actionable recommendations that helped identify high-risk customers and improve retention strategies.
Data Analyst
Unknown
June 1, 2026 – Present
Data Analytics
Unknown
June 1, 2026 – Present
Python Programming
Unknown
June 1, 2026 – Present
AI & Data Fundamentals
Unknown
June 1, 2026 – Present
Web Development
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity (e-commerce, sales, customer churn) and the range of tools used (SQL, Power BI, Python, Excel) suggest adaptability and a willingness to tackle different business problems. The internship experience at Technopark indicates an ability to work in a structured environment and contribute to organizational goals. The breadth of certifications, even if details are unknown, shows a commitment to continuous learning, which is a positive cultural indicator. The candidate's profile aligns well with a data-driven culture that values analytical insights and continuous improvement.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and applying data analysis techniques. Their experience in collaborating with stakeholders to gather requirements and deliver reporting solutions indicates good operational fit and a customer-centric mindset. The automation of reporting workflows suggests an efficiency-driven approach. However, without direct interview data, soft skills like problem-solving under pressure or advanced communication cannot be fully assessed.