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Data Analyst with less than a year in data visualization and predictive modeling.
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 expertise in data visualization, wrangling, statistical analysis, and predictive modeling. Proficient in SQL, Python, Power BI, Tableau, and Excel, with hands-on experience in ETL, automation, and dashboarding. Strong problem-solving skills, eager to apply analytical expertise in a data-driven environment.
MGM's College Of Engineering Nanded
Bachelor of Technology · CSE
August 1, 2020 – June 30, 2024
Shri. Shivaji College Parbhani
HSC · Science
June 1, 2019 – May 31, 2020
NVS Marathwada High School, Parbhani
SSC · Science
June 1, 2017 – May 31, 2018
Sales Performance Dashboard
June 24, 2026 – Present
Developed Power BI dashboard analyzing sales trends and customer behavior. Utilized SQL queries to extract, clean, and manipulate large datasets from a retail database.
Customer Churn Prediction
June 24, 2026 – Present
Created a predictive model to identify customers likely to churn. Carried out data preprocessing, feature engineering, and model evaluation. Achieved 80% accuracy in predicting customer churn.
Data Cleaning & Transformation
June 24, 2026 – Present
Cleaned, Structured, and transformed raw datasets using Excel formulas, Power Query and SQL functions. Ensured data accuracy and consistency, reducing errors by 95%.
Data Analytics Internship Program
Robowaves
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying data analysis techniques, which suggests a good fit for a data-driven culture. The diversity of tools used (SQL, Python, Power BI, Excel, Power Query) indicates adaptability. However, all projects are personal, and there is no professional experience, which limits the assessment of collaboration and real-world team dynamics.
Soft Skills & Operational Fit
The candidate lists problem-solving, critical thinking, communication, and attention to detail as soft skills. These are crucial for a Data Analyst role. The project descriptions indicate an ability to work on structured tasks and deliver measurable outcomes (e.g., 80% accuracy, 95% error reduction). However, without psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.