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Data Analyst with less than a year in Power BI, SQL, Python, and Machine Learning for predictive ana
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Highly skilled Data Analyst and aspiring Data Scientist with a Master's in Statistics, specializing in leveraging analytical tools like Power BI, SQL, and Python for data-driven insights. Proven ability to conduct exploratory data analysis, apply statistical methods, and build interactive dashboards for various domains including finance, sales, and personality analytics. Experienced in machine learning, time series forecasting, and identifying behavioral patterns to solve real-world problems.
Veer Narmad South Gujarat University, Surat
M.Sc. · Statistics
August 1, 2019 – June 30, 2021
Shivaji University, Kolhapur
B.Sc. · Statistics
August 1, 2015 – June 30, 2018
Tesla Stock Price Prediction
June 1, 2026 – Present
Conducted exploratory data analysis and summary statistics. Tested stationarity using the Augmented Dickey-Fuller (ADF) test. Identified ARIMA models using ACF and PACF plots. Performed outlier detection and treatment using statistical methods.
Bank Churn Analysis
June 1, 2026 – Present
Analyzed Bank customer data to identify key factors responsible for customer churn. Performed data cleaning (handled null values, duplicate values, logical discrepancies) using SQL Server. Build interactive dashboards in Power BI to track key matrices such as Active, inactive and exited Customers. Used DAX functions to calculate KPI's like Churn rate, Average Balance, Average Credit score etc. which is responsible for customer churn. Build visuals like Bar charts, line chart, Pie chart, Narrative and filters for dynamic analysis.
Statistical Analysis of Big Five Personality Traits
June 1, 2026 – Present
Analyzed relationships between personality traits and demographic factors. Applied hypothesis testing and regression analysis. Identified statistically significant behavioral patterns.
Insurance Claim Project
June 1, 2026 – Present
Created an interactive Insurance Claim Dashboard using Power BI to track KPI's such as Total Policies, Average Annual Premium, Fraud claims etc. Performed data cleaning (handled null values, duplicate values, logical discrepancies) using SQL Server. Created Calculated columns and Measures using DAX for in depth analysis. Identified Fraud patterns and high-risk segments using visuals. Implemented Slicers, drill down features and Custom visuals such as Timeline chart, Decomposition Tree and Drill down pie chart for dynamic and granular level analysis.
Financial Sales Report
June 1, 2026 – Present
Designed and developed an interactive Financial Sales Report in Power BI to analyze sales, profit and total units sold across various countries, product and customer segments. Created KPI cards to track Total sales, Total profit and Total number of units sold which are important key metrices in Business performance. Built Dynamic Visuals such as Line chart, Bar chart, Donut chart, pie chart and Area chart to analyze sales and profit distribution by Product, Country, Discount band and month. Built interactive Slicer and Filters for Year, Country to perform Drill-Down analysis.
Mobile Sales Project
June 1, 2026 – Present
Created an interactive Mobile Sales Dashboard in Power BI to analyze sales performance across multiple factors such as Brand, Mobile model, Payment method and so on. Created KPI cards to track Total sales, Total quantity, Average price and Total Transactions. Implemented DAX measures for Year-over-Year (YoY) sales and Same Period Last Year (SPLY) sales analysis. Performed data modelling and ETL using Power query and established relationship between multiple tables. Built Dynamic Visuals such as Line chart, Bar chart, Column chart, Map and Area chart and so on. Built interactive Slicer and Filters for Brand, Mobile model, Payment Method, Year and so on to enable granular level details.
Problems of S.T. Drivers in Kolhapur Division
June 1, 2026 – Present
Studied economic, health, and operational challenges. Used descriptive and inferential statistical techniques. Applied hypothesis testing, ANOVA technique and Correlation Analysis. Try to identify pattern between problems faced by drivers and its impact on their duty.
Maharashtra SET (Mathematical Sciences)
Unknown
June 1, 2026 – Present
Exploratory Data Analysis using MS Excel.
Unknown
June 1, 2026 – Present
Attended Data Analyst & Data Science Program
EXCELR Institute
June 1, 2026 – Present
Statistical Computing using R.
Unknown
June 1, 2026 – Present
GATE 2026 (Statistics)
IIT Guwahati
January 1, 2026 – Present
GATE 2025 (Statistics)
IIT Roorkee
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic background in Statistics and a range of data analysis projects align well with a Data Analyst role. The diversity of projects (finance, sales, insurance, personality traits, stock prediction) indicates a broad interest in applying data skills across different domains. The pursuit of GATE certifications demonstrates a commitment to continuous learning and academic rigor, which can be a positive cultural fit for organizations valuing intellectual curiosity and self-improvement. However, the lack of professional experience means there's no direct evidence of collaboration or workplace cultural alignment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a methodical approach to data analysis, including data cleaning, exploratory analysis, and visualization. The focus on academic projects suggests a strong foundation in theoretical concepts and problem-solving within structured environments. However, without professional experience, it's difficult to assess operational fit, teamwork, or stress handling in a corporate setting.