Riddhima Jaiswal

Data Analyst

Varanasi, Uttar Pradesh 0+ yrs exp 81 · Excellent

About

Data Analyst with 4 months of internship experience in data cleaning, exploratory data analysis, dashboard development, statistical analysis, reporting, and machine learning. Skilled in Advanced Excel, SQL, Power BI, Tableau, Python, Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn. Experienced in analyzing structured datasets, building KPI reports, identifying patterns, evaluating predictive models, and presenting data-driven insights.

Skills & Expertise (34)

Pandas Intermediate

6.0/10

0.33

Years Exp

NumPy Intermediate

6.0/10

0.33

Years Exp

Matplotlib Intermediate

6.0/10

0.33

Years Exp

Seaborn Intermediate

6.0/10

0.33

Years Exp

Python Intermediate

6.0/10

0.33

Years Exp

SQL Intermediate

6.0/10

0.33

Years Exp

Statistics Intermediate

6.0/10

0.33

Years Exp

Power BI Intermediate

6.0/10

0.33

Years Exp

Machine Learning Intermediate

6.0/10

0.33

Years Exp

Advanced Excel Intermediate

6.0/10

0.33

Years Exp

Data Visualization Intermediate

6.0/10

0.33

Years Exp

Dashboards Data Transformation Data Cleaning EDA KPI Analysis Reporting Linear Regression Random Forest K-Means Power Query Charts SUMIF COUNTIF If XLOOKUP VLOOKUP Pivot Tables Tableau Aggregations Subqueries Joins Queries scikit-learn

Work Experience

Data Analyst Intern

Oasis Infobyte

Aug 2026 - Sep 2026

Completed 4 hands-on data analytics and machine learning tasks covering retail sales EDA, customer segmentation, house price prediction, and wine quality classification. Cleaned, transformed, and analyzed datasets using Python, Pandas, NumPy, Matplotlib, and Seaborn; performed descriptive statistics, correlation analysis, and data visualization. Built and evaluated models using Linear Regression, Random Forest, SGD, SVC, and K-Means and compared performance using appropriate evaluation metrics. Prepared structured notebooks and visual analyses to document findings, model performance, and data-driven insights.

Data Analyst Intern

Meritshot

Apr 2026 - Jul 2026

Performed data cleaning, EDA, SQL analysis, reporting, and dashboard development using Excel, SQL, Python, and Power BI. Created interactive dashboards and KPI reports to analyze sales performance, customer behavior, profitability, and operational trends. Applied Power Query and data transformation techniques to prepare datasets for accurate reporting and visualization. Completed multiple end-to-end analytics assignments involving data preparation, visualization, dashboard creation, and insight generation.