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Data Science with less than a year in Python, SQL, Power BI, and Machine Learning.
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 with strong knowledge of SQL, Python, Power BI, Excel, Statistics, Machine Learning, and Data Visualization. Experienced in analyzing datasets, building dashboards, performing exploratory data analysis (EDA), and developing predictive models through hands-on projects. Passionate about transforming raw data into actionable business insights and seeking an opportunity to contribute analytical and problem-solving skills in a Data Analyst or Data Science role.
Uttarakhand Technical University
Bachelor of Engineering · Mechanical Engineering
January 1, 2018 – January 1, 2022
Retail Sales Forecasting
June 1, 2026 – Present
Developed a sales forecasting model using historical retail transaction data. Conducted trend and seasonality analysis to improve demand forecasting. Applied time-series techniques and evaluated model performance using appropriate metrics. Generated business insights to support inventory and sales planning.
Power BI Business Dashboard
June 1, 2026 – Present
Designed an interactive Power BI dashboard to monitor KPIs, revenue trends, customer behavior, and sales performance. Created data models, DAX measures, and visual reports for business decision-making. Improved data accessibility through automated reporting and visualization.
Network Usage Analytics Dashboard
June 1, 2026 – Present
Analyzed network usage data to identify patterns and performance trends. Built interactive visualizations using Power BI and Excel. Generated actionable insights through KPI monitoring and reporting.
Customer Churn Prediction
June 1, 2026 – Present
Built an end-to-end machine learning model to predict customer churn using Python and Scikit-learn. Performed data cleaning, feature engineering, exploratory data analysis, and model evaluation. Implemented Logistic Regression and achieved approximately 82% prediction accuracy. Identified key customer attributes contributing to churn risk.
Data Analyst with Python
Learnbay
June 1, 2026 – Present
SQL for Data Science
Coursera
June 1, 2026 – Present
Machine Learning and Data Science Certification
Unknown
June 1, 2026 – Present
Advanced Power BI
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in applying data science to various business problems (retail, customer behavior, network usage). The pursuit of multiple certifications and personal projects indicates a proactive and self-driven learning attitude. While the projects are diverse in application, they consistently align with the target role of Data Science, showing a focused career interest. The lack of professional experience means cultural fit in a team environment is yet to be proven.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a problem-solving mindset and an ability to translate data into actionable business insights. The focus on end-to-end project completion suggests a degree of self-sufficiency and initiative. However, without direct work experience, the operational fit regarding team collaboration, stress handling, and communication in a professional setting is not directly observable from the provided data.